From 901508fa0fba84a47a9b728b5e120999c00cfb28 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Mon, 6 Nov 2017 15:26:43 -0500 Subject: [PATCH 01/44] returning to development mode with 0.8.1dev --- CHANGES.rst | 6 +++++- setup.py | 2 +- 2 files changed, 6 insertions(+), 2 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index ae3333c7..e095a17e 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,5 +1,9 @@ -version 0.8.0dev (unreleased) +version 0.8.1dev (unreleased) ----------------------------- + + +version 0.8.0 (released) +------------------------ - fixed show_xpa_commands bug sending None instead of empty string to the xpa library - fixed logic of connect method. When a target is given, do not look diff --git a/setup.py b/setup.py index 7d81972b..2fdc4cf3 100644 --- a/setup.py +++ b/setup.py @@ -65,7 +65,7 @@ # VERSION should be PEP386 compatible (http://www.python.org/dev/peps/pep-0386) -VERSION = '0.8.0dev' +VERSION = '0.8.1dev' # Indicates if this version is a release version RELEASE = 'dev' not in VERSION From 970927a860de83713fa282a4ccf1c42a7e7e58b5 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Mon, 6 Nov 2017 17:48:13 -0500 Subject: [PATCH 02/44] adding zenodo reference for imexam --- README.rst | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.rst b/README.rst index c5b5f450..4ef8d2d6 100644 --- a/README.rst +++ b/README.rst @@ -21,6 +21,9 @@ imexam :target: https://ci.appveyor.com/project/spacetelescope/imexam/branch/master :alt: Appveyor +.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.1042809.svg + :target: https://doi.org/10.5281/zenodo.1042809 + imexam is an affiliated package of `AstroPy`_. It was designed to be a lightweight library which enables users to explore data from a command line interface, through a Jupyter notebook or through a Jupyter console. It can be used with multiple viewers, such as DS9 or Ginga, or without a viewer as a simple library to make plots and grab quick photometry information. It has been designed so that other viewers may be easily attached in the future. For more information please see the `online documentation `_ From 3986632ca643ca2b351719b83e6861ddb0926a37 Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Mon, 8 Jan 2018 12:16:25 -0800 Subject: [PATCH 03/44] clean up a few bugs and make tabs line up in photometry output --- imexam/imexamine.py | 24 +++++++++++------------- 1 file changed, 11 insertions(+), 13 deletions(-) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 2ca1e3f6..6648bf4b 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -308,7 +308,7 @@ def plot_line(self, x, y, data=None, fig=None): ax.set_ylabel(self.lineplot_pars["ylabel"][0]) if not self.lineplot_pars["xmax"][0]: - xmax = len(data[y, :]) + xmax = len(data[int(y), :]) else: xmax = self.lineplot_pars["xmax"][0] ax.set_xlim(self.lineplot_pars["xmin"][0], xmax) @@ -517,6 +517,7 @@ def aper_phot(self, x, y, data=None): if data is None: data = self._data + center = False if not photutils_installed: self.log.warning("Install photutils to enable") else: @@ -571,20 +572,17 @@ def aper_phot(self, x, y, data=None): mag = magzero - 2.5 * (np.log10(total_flux)) pheader = ( - "x\ty\tradius\tflux\tmag(zpt={0:0.2f})" - "sky\t".format(magzero)).expandtabs(15) + "x\ty\tradius\tflux\tmag(zpt={0:0.2f})\tsky/pix\t".format(magzero)).expandtabs(15) if center: - pheader += ("fwhm") - pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\ - \t{5:0.2f}\t{6:0.2f}".format(x, y, radius, - total_flux, mag, - sky_per_pix, - math_helper.gfwhm(sigma)[0]).expandtabs(15) + pheader += ("fwhm(pix)") + pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t{5:0.2f}\t{6:0.2f}".format(x, y, radius, + total_flux, mag, + sky_per_pix, + math_helper.gfwhm(sigma)[0]).expandtabs(15) else: - pstr = "\n{0:0.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\ - \t{4:0.2f}\t{5:0.2f}".format(x, y, radius, - total_flux, mag, - sky_per_pix,).expandtabs(15) + pstr = "\n{0:0.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t{5:0.2f}".format(x, y, radius, + total_flux, mag, + sky_per_pix).expandtabs(15) # print(pheader + pstr) self.log.info(pheader + pstr) From 0a3f5ee0f0e5c7b7399392f1c3580ca3eee46f8d Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Tue, 16 Jan 2018 15:22:37 -0500 Subject: [PATCH 04/44] update travis config so that xvfb selects free display automatically --- .travis.yml | 3 +-- README.rst | 2 +- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/.travis.yml b/.travis.yml index afe2328a..fa391e6a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -108,8 +108,7 @@ matrix: before_install: # CONFIGURE A HEADLESS DISPLAY TO TEST PLOT GENERATION - - export DISPLAY=:99.0 - - sh -e /etc/init.d/xvfb start + - xvfb-run -a - sleep 3 - uname -a - python --version diff --git a/README.rst b/README.rst index 4ef8d2d6..07b14d90 100644 --- a/README.rst +++ b/README.rst @@ -41,7 +41,7 @@ after you have cloned the repository and before you "python setup.py install" git submodule update --init -- cextern/xpa -If you are cloneing the repository for the first time, you can do both steps at once using a recursive clone: +If you are cloning the repository for the first time, you can do both steps at once using a recursive clone: :: From 6710fa6ff70084da1a6c16b62f9f9d6b382e5c82 Mon Sep 17 00:00:00 2001 From: Pey Lian Lim Date: Fri, 26 Jan 2018 17:19:07 -0500 Subject: [PATCH 05/44] Added spacetelescope code of conduct. [skip ci] --- CODE_OF_CONDUCT.md | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 CODE_OF_CONDUCT.md diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 00000000..ebfc6acc --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,24 @@ +# Spacetelescope Open Source Code of Conduct + +We expect all "spacetelescope" organization projects to adopt a code of conduct that ensures a productive, respectful environment for all open source contributors and participants. We are committed to providing a strong and enforced code of conduct and expect everyone in our community to follow these guidelines when interacting with others in all forums. Our goal is to keep ours a positive, inclusive, successful, and growing community. The community of participants in open source Astronomy projects is made up of members from around the globe with a diverse set of skills, personalities, and experiences. It is through these differences that our community experiences success and continued growth. + + +As members of the community, + +- We pledge to treat all people with respect and provide a harassment- and bullying-free environment, regardless of sex, sexual orientation and/or gender identity, disability, physical appearance, body size, race, nationality, ethnicity, and religion. In particular, sexual language and imagery, sexist, racist, or otherwise exclusionary jokes are not appropriate. + +- We pledge to respect the work of others by recognizing acknowledgment/citation requests of original authors. As authors, we pledge to be explicit about how we want our own work to be cited or acknowledged. + +- We pledge to welcome those interested in joining the community, and realize that including people with a variety of opinions and backgrounds will only serve to enrich our community. In particular, discussions relating to pros/cons of various technologies, programming languages, and so on are welcome, but these should be done with respect, taking proactive measure to ensure that all participants are heard and feel confident that they can freely express their opinions. + +- We pledge to welcome questions and answer them respectfully, paying particular attention to those new to the community. We pledge to provide respectful criticisms and feedback in forums, especially in discussion threads resulting from code contributions. + +- We pledge to be conscientious of the perceptions of the wider community and to respond to criticism respectfully. We will strive to model behaviors that encourage productive debate and disagreement, both within our community and where we are criticized. We will treat those outside our community with the same respect as people within our community. + +- We pledge to help the entire community follow the code of conduct, and to not remain silent when we see violations of the code of conduct. We will take action when members of our community violate this code such as such as contacting conduct@stsci.edu (all emails sent to this address will be treated with the strictest confidence) or talking privately with the person. + +This code of conduct applies to all community situations online and offline, including mailing lists, forums, social media, conferences, meetings, associated social events, and one-to-one interactions. + +Parts of this code of conduct have been adapted from the Astropy and Numfocus codes of conduct. +http://www.astropy.org/code_of_conduct.html +https://www.numfocus.org/about/code-of-conduct/ From 81938a086a8442e3d3e5ea81f456e45516fe68d0 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Tue, 6 Feb 2018 13:56:35 -0500 Subject: [PATCH 06/44] trying to fix headless display on travis --- .travis.yml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.travis.yml b/.travis.yml index fa391e6a..fd58c6da 100644 --- a/.travis.yml +++ b/.travis.yml @@ -16,7 +16,6 @@ addons: - texlive-latex-extra - dvipng - env: global: # SET DEFAULTS TO AVOID REPEATING IN MOST CASES @@ -108,8 +107,6 @@ matrix: before_install: # CONFIGURE A HEADLESS DISPLAY TO TEST PLOT GENERATION - - xvfb-run -a - - sleep 3 - uname -a - python --version @@ -139,6 +136,9 @@ install: # section if they are needed before setting up conda) to install any # other dependencies. +before_script: + - xvfb-run -a + - sleep 3 script: - $MAIN_CMD $SETUP_CMD From 1d6e714226c7f03dfea88b2bcd76c0233ba54855 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Tue, 6 Feb 2018 14:36:53 -0500 Subject: [PATCH 07/44] move xvfb to script section --- .travis.yml | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/.travis.yml b/.travis.yml index fd58c6da..a4b0982c 100644 --- a/.travis.yml +++ b/.travis.yml @@ -105,8 +105,6 @@ matrix: before_install: - - # CONFIGURE A HEADLESS DISPLAY TO TEST PLOT GENERATION - uname -a - python --version @@ -136,12 +134,9 @@ install: # section if they are needed before setting up conda) to install any # other dependencies. -before_script: - - xvfb-run -a - - sleep 3 script: - - $MAIN_CMD $SETUP_CMD + - xvfb-run -a $MAIN_CMD $SETUP_CMD after_success: From ee7ce3b19ffc372f25fe494e02fae925f035a9ce Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Tue, 6 Feb 2018 15:00:55 -0500 Subject: [PATCH 08/44] xvf works on linux, adding some logic to get it on osx as well --- .travis.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.travis.yml b/.travis.yml index a4b0982c..6f349065 100644 --- a/.travis.yml +++ b/.travis.yml @@ -107,6 +107,7 @@ matrix: before_install: - uname -a - python --version + - if [ "${TRAVIS_OS_NAME}" = "osx" ]; then ( sudo Xvfb :99 -ac -screen 0 1024x768x8; sleep 3; echo ok )& fi # We now use the ci-helpers package to set up our testing environment. # This is done by using Miniconda and then using conda and pip to install @@ -136,7 +137,8 @@ install: script: - - xvfb-run -a $MAIN_CMD $SETUP_CMD + - if [ "${TRAVIS_OS_NAME}" = "linux" ]; then ( xvfb-run -a $MAIN_CMD $SETUP_CMD ) fi + - if [ "${TRAVIS_OS_NAME}" = "osx" ]; then ( $MAIN_CMD $SETUP_CMD ) fi after_success: From 43999442cd786a7070c5dcff1450a2e8ef8dcffc Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Mon, 8 Jan 2018 14:52:52 -0800 Subject: [PATCH 09/44] adding new feature for aper_phot plotting --- imexam/imexamine.py | 28 ++++++++++++++-------------- imexam/math_helper.py | 11 +++++++---- 2 files changed, 21 insertions(+), 18 deletions(-) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 6648bf4b..c234a766 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -651,7 +651,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): # fit model to data if fitform.name is "Gaussian1D": fitted = math_helper.fit_gauss_1d(chunk) - fitted.mean.value += (xx-delta) + fitted.mean_0.value += (xx-delta) elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(chunk) fitted.x_0.value += (xx-delta) @@ -703,14 +703,14 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): ax.plot(xline, chunk, label="data", linestyle='-') if fitform.name is "Gaussian1D": - fwhmx, fwhmy = math_helper.gfwhm(fitted.stddev.value) + fwhmx, fwhmy = math_helper.gfwhm(fitted.stddev_0.value) ax.set_title("{0:s} amp={1:8.2f} mean={2:9.2f}," "fwhm={3:9.2f}".format(title, - fitted.amplitude.value, - fitted.mean.value, + fitted.amplitude_0.value, + fitted.mean_0.value, fwhmx)) pstr = "({0:d},{1:d}) mean={2:9.2f}, fwhm={3:9.2f}".format( - int(x), int(y), fitted.mean.value, fwhmx) + int(x), int(y), fitted.mean_0.value, fwhmx) self.log.info(pstr) elif fitform.name is "Moffat1D": mfwhm = math_helper.mfwhm(fitted.alpha.value, @@ -810,7 +810,7 @@ def column_fit(self, x, y, data=None, form=None, genplot=True, fig=None): # fit model to data if fitform.name is "Gaussian1D": fitted = math_helper.fit_gauss_1d(chunk) - fitted.mean.value += (yy-delta) + fitted.mean_0.value += (yy-delta) elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(chunk) fitted.x_0.value += (yy-delta) @@ -856,11 +856,11 @@ def column_fit(self, x, y, data=None, form=None, genplot=True, fig=None): ax.plot(yline, chunk, linestyle='-', label="data") if fitform.name == "Gaussian1D": - fwhmx, fwhmy = math_helper.gfwhm(fitted.stddev.value) + fwhmx, fwhmy = math_helper.gfwhm(fitted.stddev_0.value) ax.set_title("{0:s} amp={1:8.2f} mean={2:9.2f}, fwhm={3:9.2f}".format( - title, fitted.amplitude.value, fitted.mean.value, fwhmy)) + title, fitted.amplitude_0.value, fitted.mean_0.value, fwhmy)) pstr = "({0:d},{1:d}) mean={2:0.3f}, fwhm={3:0.2f}".format( - int(x), int(y), fitted.mean.value, fwhmy) + int(x), int(y), fitted.mean_0.value, fwhmy) self.log.info(pstr) self.log.info(fitted.parameters) @@ -932,11 +932,11 @@ def gauss_center(self, x, y, data=None, delta=10): chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] try: fit = math_helper.gauss_center(chunk) - amp = fit.amplitude.value - xcenter = fit.x_mean.value - ycenter = fit.y_mean.value - xsigma = fit.x_stddev.value - ysigma = fit.y_stddev.value + amp = fit.amplitude_0.value + xcenter = fit.x_mean_0.value + ycenter = fit.y_mean_0.value + xsigma = fit.x_stddev_0.value + ysigma = fit.y_stddev_0.value pstr = "xc={0:4f}\tyc={1:4f}".format( (xcenter + xx - delta), diff --git a/imexam/math_helper.py b/imexam/math_helper.py index 5757a4e5..5ca14233 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -89,14 +89,16 @@ def fit_moffat_1d(data, gamma=2., alpha=1.): def fit_gauss_1d(data): """Fit a 1D gaussian to the data and return the fit.""" # data is assumed to already be chunked to a reasonable size + delta = int(len(data) / 2.) # guess the center ldata = len(data) x = np.arange(ldata) # Fit model to data fit = fitting.LevMarLSQFitter() - # Gaussian1D - model = models.Gaussian1D(amplitude=1, mean=0, stddev=1.) + # Gaussian1D + a constant + model = models.Gaussian1D(amplitude=data.max()-data.min(), mean=delta, stddev=1.) + \ + models.Polynomial1D(c0=data.min(), degree=0) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -118,14 +120,15 @@ def gauss_center(data, sigma=3., theta=0.): """ # use a smaller bounding box so that we are only fitting the local data delta = int(len(data) / 2) # guess the center + amp = data.max() - data.min() # guess the amplitude ldata = len(data) yy, xx = np.mgrid[:ldata, :ldata] # Fit model to data fit = fitting.LevMarLSQFitter() - # Gaussian2D(amp,xmean,ymean,xstd,ystd,theta) - model = models.Gaussian2D(1, delta, delta, sigma, sigma, theta) + # Gaussian2D(amp,xmean,ymean,xstd,ystd,theta) + a constant + model = models.Gaussian2D(amp, delta, delta, sigma, sigma, theta) + models.Polynomial2D(c0_0=data.min(), degree=0) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') From be2fca984234f25d2b3c947c5e524f0b76aca06b Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Tue, 9 Jan 2018 09:36:42 -0800 Subject: [PATCH 10/44] remove repeated code --- imexam/imexamine.py | 192 +++++++++--------------------------------- imexam/math_helper.py | 18 ++-- 2 files changed, 52 insertions(+), 158 deletions(-) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index c234a766..3e247143 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -587,7 +587,7 @@ def aper_phot(self, x, y, data=None): # print(pheader + pstr) self.log.info(pheader + pstr) - def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): + def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False): """compute the 1D fit to the line of data using the specified form. Parameters @@ -605,6 +605,8 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): produce the plot or return the fit fig: figure for redirect Used for interaction with the ginga GUI + col: bool (False) + Plot column instead of line Notes ----- @@ -613,19 +615,26 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): If centering is True in the parameter set, then the center is fit with a 2d gaussian, not performed for Polynomial1D """ + + # Set which parameters to use + if col: + pars = self.column_fit_pars + else: + pars = self.line_fit_pars + if data is None: data = self._data if form is None: - fitform = getattr(models, self.line_fit_pars["func"][0]) + fitform = getattr(models, pars["func"][0]) else: fitform = getattr(models, form) self.log.info("using model: {0}".format(fitform)) # Used for Polynomial1D fitting - degree = int(self.line_fit_pars["order"][0]) + degree = int(self.pars["order"][0]) - delta = int(self.line_fit_pars["rplot"][0]) + delta = int(self.pars["rplot"][0]) if delta >= len(data)/4: # help with small data arrays and defaults delta = delta/2 delta = int(delta) @@ -633,7 +642,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): xx = int(x) yy = int(y) # fit the center with a 2d gaussian - if self.line_fit_pars["center"][0]: + if pars["center"][0]: if fitform.name is not "Polynomial1D": amp, xout, yout, sigma, sigmay = self.gauss_center(xx, yy, data, delta=delta) @@ -644,9 +653,12 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): else: xx = int(xout) yy = int(yout) - - line = data[yy, :] - chunk = line[xx - delta: xx + delta] + if col: + line = data[:, xx] + chunk = line[yy - delta:yy + delta] + else: + line = data[yy, :] + chunk = line[xx - delta: xx + delta] # fit model to data if fitform.name is "Gaussian1D": @@ -654,10 +666,10 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): fitted.mean_0.value += (xx-delta) elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(chunk) - fitted.x_0.value += (xx-delta) + fitted.x_0_0.value += (xx-delta) elif fitform.name is "MexicanHat1D": fitted = math_helper.fit_mex_hat_1d(chunk) - fitted.x_0.value += (xx-delta) + fitted.x_0_0.value += (xx-delta) elif fitform.name is "Polynomial1D": fitted = math_helper.fit_poly_n(chunk, deg=degree) if fitted is None: @@ -666,8 +678,8 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): fitted = math_helper.fit_airy_2d(chunk) if fitted is None: raise ValueError("Problem with the AiryDisk2D fit") - fitted.x_0.value += (xx-delta) - fitted.y_0.value += (yy-delta) + fitted.x_0_0.value += (xx-delta) + fitted.y_0_0.value += (yy-delta) else: self.log.info("{0:s} not implemented".format(fitform.name)) return @@ -677,10 +689,10 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): yfit = fitted(fline) # make a plot - if self.line_fit_pars["title"][0] is None: + if pars["title"][0] is None: title = "{0}: {1} {2}".format(self._datafile, int(x), int(y)) else: - title = self.line_fit_pars["title"][0] + title = pars["title"][0] if genplot: pfig = fig @@ -690,14 +702,14 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): fig.add_subplot(111) ax = fig.gca() - ax.set_xlabel(self.line_fit_pars["xlabel"][0]) - ax.set_ylabel(self.line_fit_pars["ylabel"][0]) - if self.line_fit_pars["logx"][0]: + ax.set_xlabel(pars["xlabel"][0]) + ax.set_ylabel(pars["ylabel"][0]) + if pars["logx"][0]: ax.set_xscale("log") - if self.line_fit_pars["logy"][0]: + if pars["logy"][0]: ax.set_yscale("log") - if bool(self.line_fit_pars["pointmode"][0]): + if bool(pars["pointmode"][0]): ax.plot(xline, chunk, 'o', label="data") else: ax.plot(xline, chunk, label="data", linestyle='-') @@ -713,18 +725,18 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None): int(x), int(y), fitted.mean_0.value, fwhmx) self.log.info(pstr) elif fitform.name is "Moffat1D": - mfwhm = math_helper.mfwhm(fitted.alpha.value, - fitted.gamma.value) + mfwhm = math_helper.mfwhm(fitted.alpha_0.value, + fitted.gamma_0.value) ax.set_title("{0:s} amp={1:8.2f} fwhm={2:9.2f}".format( - title, fitted.amplitude.value, mfwhm)) + title, fitted.amplitude_0.value, mfwhm)) pstr = "({0:d},{1:d}) amp={2:8.2f} fwhm={3:9.2f}".format( - int(x), int(y), fitted.amplitude.value, mfwhm) + int(x), int(y), fitted.amplitude_0.value, mfwhm) self.log.info(pstr) elif fitform.name is "MexicanHat1D": ax.set_title("{0:s} amp={1:8.2f} sigma={2:8.2f}".format( - title, fitted.amplitude.value, fitted.sigma.value)) + title, fitted.amplitude_0.value, fitted.sigma_0.value)) pstr = "({0:d},{1:d}) amp={2:8.2f} sigma={3:9.2f}".format( - int(x), int(y), fitted.amplitude.value, fitted.sigma.value) + int(x), int(y), fitted.amplitude_0.value, fitted.sigma_0.value) self.log.info(pstr) elif fitform.name is "Polynomial1D": ax.set_title("{0:s} degree={1:d}".format(title, degree)) @@ -774,133 +786,11 @@ def column_fit(self, x, y, data=None, form=None, genplot=True, fig=None): if centering is True, then the center is fit with a 2d gaussian, but this is currently not done for Polynomial1D """ - if data is None: - data = self._data - if form is None: - fitform = getattr(models, self.column_fit_pars["func"][0]) - else: - fitform = getattr(models, form) - self.log.info("using model: {0}".format(fitform)) - - # Used for Polynomial1D fitting - degree = int(self.column_fit_pars["order"][0]) - delta = int(self.column_fit_pars["rplot"][0]) - if delta >= len(data)/4: - delta = int(delta/2) - - # fit the center with a 2d gaussian - xx = int(x) - yy = int(y) - # fit the center with a 2d gaussian - if self.column_fit_pars["center"][0]: - if fitform.name is not "Polynomial1D": - amp, xout, yout, sigma, sigmay = self.gauss_center(x, y, data, - delta=delta) - if (xout < 0 or yout < 0 or xout > data.shape[1] or - yout > data.shape[0]): - self.log.info("Problem with centering, " - "using pixel coords") - else: - xx = int(xout) - yy = int(yout) - line = data[:, xx] - chunk = line[yy - delta:yy + delta] - - # fit model to data - if fitform.name is "Gaussian1D": - fitted = math_helper.fit_gauss_1d(chunk) - fitted.mean_0.value += (yy-delta) - elif fitform.name is "Moffat1D": - fitted = math_helper.fit_moffat_1d(chunk) - fitted.x_0.value += (yy-delta) - elif fitform.name is "MexicanHat1D": - fitted = math_helper.fit_mex_hat_1d(chunk) - fitted.x_0.value += (yy-delta) - elif fitform.name is "Polynomial1D": - fitted = math_helper.fit_poly_n(chunk, deg=degree) - if fitted is None: - raise ValueError("Problem with the Poly1D fit") - else: - self.log.info("{0:s} not implemented".format(fitform.name)) - return - - yline = np.arange(len(chunk)) + yy - delta - fline = np.linspace(yline[0], yline[-1], 100) # finer sample - yfit = fitted(fline) - - if self.column_fit_pars["title"][0] is None: - title = "{0}: {1} {2}".format(self._datafile, int(x), int(y)) - else: - title = self.column_fit_pars["title"][0] - - # make a plot - if genplot: - pfig = fig - if fig is None: - fig = plt.figure(self._figure_name) - fig.clf() - fig.add_subplot(111) - ax = fig.gca() - - ax.set_xlabel(self.column_fit_pars["xlabel"][0]) - ax.set_ylabel(self.column_fit_pars["ylabel"][0]) - if self.column_fit_pars["logx"][0]: - ax.set_xscale("log") - if self.column_fit_pars["logy"][0]: - ax.set_yscale("log") - - if bool(self.column_fit_pars["pointmode"][0]): - ax.plot(yline, chunk, 'o', label="data") - else: - ax.plot(yline, chunk, linestyle='-', label="data") - - if fitform.name == "Gaussian1D": - fwhmx, fwhmy = math_helper.gfwhm(fitted.stddev_0.value) - ax.set_title("{0:s} amp={1:8.2f} mean={2:9.2f}, fwhm={3:9.2f}".format( - title, fitted.amplitude_0.value, fitted.mean_0.value, fwhmy)) - pstr = "({0:d},{1:d}) mean={2:0.3f}, fwhm={3:0.2f}".format( - int(x), int(y), fitted.mean_0.value, fwhmy) - self.log.info(pstr) - self.log.info(fitted.parameters) - - elif fitform.name is "Moffat1D": - mfwhm = math_helper.mfwhm(fitted.alpha.value, - fitted.gamma.value) - ax.set_title("{0:s} amp={1:8.2f} fwhm={2:9.2f}".format( - title, fitted.amplitude.value, mfwhm)) - pstr = "({0:d},{1:d}) amp={2:8.2f} fwhm={3:9.2f}".format( - int(x), int(y), fitted.amplitude.value, mfwhm) - self.log.info(pstr) - self.log.info(fitted.parameters) - - elif fitform.name is "MexicanHat1D": - ax.set_title("{0:s} amp={1:8.2f} sigma={2:8.2f}".format( - title, fitted.amplitude.value, fitted.sigma.value)) - pstr = "({0:d},{1:d}) amp={2:8.2f} sigma={3:9.2f}".format( - int(x), int(y), fitted.amplitude.value, fitted.sigma.value) - self.log.info(pstr) - elif fitform.name is "Polynomial1D": - ax.set_title("{0:s} degree={1:d}".format(title, degree)) - pstr = "({0:d},{1:d}) degree={2:d}".format( - int(x), int(y), degree) - self.log.info(pstr) - self.log.info(fitted.parameters) - else: - warnings.warn("Unsupported functional form used in column_fit") - raise ValueError - - ax.plot(fline, yfit, c='r', label=str(fitform.__name__) + " fit") - ax.legend() - - if pfig is None and 'nbagg' not in get_backend().lower(): - plt.draw() - plt.pause(0.001) - else: - fig.canvas.draw() - - else: - return fitted + result = self.line_fit(x,y,data=data, form=form, + genplot=genplot, fig=fig, col=True) + if not genplot: + return result def gauss_center(self, x, y, data=None, delta=10): """Return the 2d gaussian fit center of the data. diff --git a/imexam/math_helper.py b/imexam/math_helper.py index 5ca14233..58bcf859 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -75,8 +75,9 @@ def fit_moffat_1d(data, gamma=2., alpha=1.): # Fit model to data fit = fitting.LevMarLSQFitter() - # Moffat1D - model = models.Moffat1D(amplitude=max(data), x_0=ldata/2, gamma=gamma, alpha=alpha) + # Moffat1D + constant + model = models.Moffat1D(amplitude=max(data), x_0=ldata/2, gamma=gamma, alpha=alpha) +\ + models.Polynomial1D(c0=data.min(), degree=0) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -128,7 +129,8 @@ def gauss_center(data, sigma=3., theta=0.): fit = fitting.LevMarLSQFitter() # Gaussian2D(amp,xmean,ymean,xstd,ystd,theta) + a constant - model = models.Gaussian2D(amp, delta, delta, sigma, sigma, theta) + models.Polynomial2D(c0_0=data.min(), degree=0) + model = models.Gaussian2D(amp, delta, delta, sigma, sigma, theta) +\ + models.Polynomial2D(c0_0=data.min(), degree=0) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -147,9 +149,10 @@ def fit_mex_hat_1d(data): # Fit model to data fit = fitting.LevMarLSQFitter() - # Mexican Hat 1D + # Mexican Hat 1D + constant model = models.MexicanHat1D(amplitude=np.max(data), - x_0=ldata/2, sigma=2., fixed=fixed_pars) + x_0=ldata/2, sigma=2., fixed=fixed_pars) +\ + models.Polynomial1D(c0=data.min(), degree=0) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -174,9 +177,10 @@ def fit_airy_2d(data, x=None, y=None): # fit model to the data fit = fitting.LevMarLSQFitter() - # AiryDisk2D(amplitude, x_0, y_0, radius) + # AiryDisk2D(amplitude, x_0, y_0, radius) + constant model = models.AiryDisk2D(np.max(data), x_0=x, y_0=y, radius=delta, - fixed=fixed_pars) + fixed=fixed_pars) +\ + models.Polynomial2D(c0=data.min(), degree=0) with warnings.catch_warnings(): # Ignore model warnings for new_plot_window warnings.simplefilter('ignore') From 7a6b969e64ffda96831dfba0a28b08decd065249 Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Tue, 9 Jan 2018 11:17:32 -0800 Subject: [PATCH 11/44] made it possible to plot AiryDist2D --- imexam/imexamine.py | 15 ++++++++++++--- imexam/math_helper.py | 2 +- 2 files changed, 13 insertions(+), 4 deletions(-) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 3e247143..650cab39 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -632,9 +632,9 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False self.log.info("using model: {0}".format(fitform)) # Used for Polynomial1D fitting - degree = int(self.pars["order"][0]) + degree = int(pars["order"][0]) - delta = int(self.pars["rplot"][0]) + delta = int(pars["rplot"][0]) if delta >= len(data)/4: # help with small data arrays and defaults delta = delta/2 delta = int(delta) @@ -686,7 +686,10 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False xline = np.arange(len(chunk)) + xx - delta fline = np.linspace(xline[0], xline[-1], 100) # finer sample - yfit = fitted(fline) + if fitform.name is "AiryDisk2D": + yfit = fitted(fline, fline*0+fitted.y_0_0.value) + else: + yfit = fitted(fline) # make a plot if pars["title"][0] is None: @@ -744,6 +747,12 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False int(x), int(y), degree) self.log.info(fitted.parameters) self.log.info(pstr) + elif fitform.name is "AiryDisk2D": + ax.set_title("{0:s} amp={1:8.2f} radius={2:8.2f}".format( + title, fitted.amplitude_0.value, fitted.radius_0.value)) + pstr = "({0:d},{1:d}) amp={2:8.2f} radius={3:9.2f}".format( + int(x), int(y), fitted.amplitude_0.value, fitted.radius_0.value) + self.log.info(pstr) else: warnings.warn("Unsupported functional form used in line_fit") raise ValueError diff --git a/imexam/math_helper.py b/imexam/math_helper.py index 58bcf859..728fc69e 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -180,7 +180,7 @@ def fit_airy_2d(data, x=None, y=None): # AiryDisk2D(amplitude, x_0, y_0, radius) + constant model = models.AiryDisk2D(np.max(data), x_0=x, y_0=y, radius=delta, fixed=fixed_pars) +\ - models.Polynomial2D(c0=data.min(), degree=0) + models.Polynomial2D(c0_0=data.min(), degree=0) with warnings.catch_warnings(): # Ignore model warnings for new_plot_window warnings.simplefilter('ignore') From 48eb60748fd897f1b3d10c7ba3dd2c1eb53614da Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Tue, 9 Jan 2018 16:15:30 -0800 Subject: [PATCH 12/44] ap phot plotting works --- imexam/imexam_defpars.py | 6 +++++ imexam/imexamine.py | 51 ++++++++++++++++++++++++++++++++++++++-- 2 files changed, 55 insertions(+), 2 deletions(-) diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index 7b992ac7..ba83bd1b 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -16,6 +16,12 @@ "skyrad": [15, "Distance to start sky annulus is pixels"], "radius": [5, "Radius of aperture for star flux"], "zmag": [25., "zeropoint for the magnitude calculation"], + "genplot": [True, "Plot the apertures"], + "title": [None, "Title of the plot"], + "scale": ['zscale', "How to scale the image"], + "color_min": [None, "Minimum color value"], + "color_max": [None, "Maximum color value"], + "cmap": ['Greys', "Matplotloib colormap to use"], } diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 650cab39..252e8d44 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -32,6 +32,7 @@ from astropy.io import fits from astropy.modeling import models +from astropy.visualization import ZScaleInterval try: from scipy import stats except ImportError: @@ -499,7 +500,7 @@ def save(self, filename=None, fig=None): pstr = "plot saved to {0:s}".format(self.plot_name) self.log.info(pstr) - def aper_phot(self, x, y, data=None): + def aper_phot(self, x, y, data=None, fig=None): """Perform aperture photometry. uses photutils functions, photutils must be available @@ -512,7 +513,8 @@ def aper_phot(self, x, y, data=None): The y location of the object data: numpy array The data array to work on - + fig: figure object for redirect + Used for interaction with the ginga GUI """ if data is None: data = self._data @@ -527,6 +529,8 @@ def aper_phot(self, x, y, data=None): amp, x, y, sigma, sigmay = self.gauss_center(x, y, data, delta=delta) + # XXX TODO: Do I beleive that these all have to be ints? + radius = int(self.aper_phot_pars["radius"][0]) width = int(self.aper_phot_pars["width"][0]) inner = int(self.aper_phot_pars["skyrad"][0]) @@ -586,6 +590,49 @@ def aper_phot(self, x, y, data=None): # print(pheader + pstr) self.log.info(pheader + pstr) + if self.aper_phot_pars["genplot"][0]: + pfig = fig + if fig is None: + # Make sure figure is square so round stars look round + fig = plt.figure(self._figure_name, figsize=[5,5]) + fig.clf() + fig.add_subplot(111) + ax = plt.gca() + + if self.aper_phot_pars["title"][0] is None: + title = "x=%.2f, y=%.2f, flux=%.1f, \nmag=%.1f, sky=%.1f" % (x,y, total_flux, mag, sky_per_pix) + if center: + title += ", fwhm=%.2f" % math_helper.gfwhm(sigma)[0] + ax.set_title(title) + else: + ax.set_title(self.aper_phot_pars["title"][0]) + + if self.aper_phot_pars['scale'][0] == 'zscale': + zs = ZScaleInterval() + color_range = zs.get_limits(self._data) + else: + color_range = [self.aper_phot_pars['color_min'][0], self.aper_phot_pars['color_max'][0]] + + pad = outer*1.2 # XXX TODO: Bad magic number + ax.imshow(self._data[int(y-pad):int(y+pad), int(x-pad):int(x+pad)], + vmin=color_range[0], vmax=color_range[1], + extent=[int(x-pad), int(x+pad), int(y-pad), int(y+pad)], origin='lower', + cmap=self.aper_phot_pars['cmap'][0]) + + #ax.set_xlim([x-pad, x+pad]) + #ax.set_ylim([y-pad, y+pad]) + #cb = plt.colorbar(ax) + + apertures.plot(ax=ax, color='green', alpha=0.75) + if subsky: + annulus_apertures.plot(ax=ax, color='red', alpha=0.75) + + if pfig is None and 'nbagg' not in get_backend().lower(): + plt.draw() + plt.pause(0.001) + else: + fig.canvas.draw() + def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False): """compute the 1D fit to the line of data using the specified form. From b3714c2a628f0e4eb95f734d26a05c94380f7b6e Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Wed, 10 Jan 2018 16:08:56 -0800 Subject: [PATCH 13/44] unit tests have been updated --- imexam/imexamine.py | 27 +-- imexam/tests/test_imexamine.py | 302 ++++++++++++--------------------- 2 files changed, 127 insertions(+), 202 deletions(-) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 252e8d44..addf74cf 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -545,6 +545,7 @@ def aper_phot(self, x, y, data=None, fig=None): subpixels=1, method="center") + sky_per_pix = None if subsky: annulus_apertures = photutils.CircularAnnulus( (x, y), r_in=inner, r_out=outer) @@ -575,18 +576,22 @@ def aper_phot(self, x, y, data=None, fig=None): magzero = float(self.aper_phot_pars["zmag"][0]) mag = magzero - 2.5 * (np.log10(total_flux)) - pheader = ( - "x\ty\tradius\tflux\tmag(zpt={0:0.2f})\tsky/pix\t".format(magzero)).expandtabs(15) + # Construct the output strings (header and parameter values) + pheader = "x\ty\tradius\tflux\tmag(zpt={0:0.2f})\t".format(magzero) + pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t".format(x, y, radius,total_flux, mag) + + if sky_per_pix is not None: + pheader += "sky/pix\t" + pstr += "{0:0.2f}\t".format(sky_per_pix) if center: - pheader += ("fwhm(pix)") - pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t{5:0.2f}\t{6:0.2f}".format(x, y, radius, - total_flux, mag, - sky_per_pix, - math_helper.gfwhm(sigma)[0]).expandtabs(15) - else: - pstr = "\n{0:0.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t{5:0.2f}".format(x, y, radius, - total_flux, mag, - sky_per_pix).expandtabs(15) + pheader += "fwhm(pix)" + pstr += "{0:0.2f}".format(math_helper.gfwhm(sigma)[0]) + + pheader = pheader.expandtabs(15) + pstr = pstr.expandtabs(15) + + # Save the total flux for unit testing things later + self.total_flux = total_flux # print(pheader + pstr) self.log.info(pheader + pstr) diff --git a/imexam/tests/test_imexamine.py b/imexam/tests/test_imexamine.py index 8a25f8d0..ec42aa4a 100644 --- a/imexam/tests/test_imexamine.py +++ b/imexam/tests/test_imexamine.py @@ -24,9 +24,8 @@ # make some data to test with test_data = np.zeros((100, 100), dtype=np.float) -test_data[25:75, 25:75] = 1.0 -test_data[35:65, 35:65] = 2.0 test_data[45:55, 45:55] = 3.0 +xx,yy = np.meshgrid(np.arange(100), np.arange(100)) @pytest.mark.skipif('not HAS_MATPLOTLIB') @@ -56,45 +55,51 @@ def test_line_plot(): @pytest.mark.skipif('not HAS_PHOTUTILS') def test_aper_phot(capsys): """Check that apertures are as expected from photutils""" - apertures = photutils.CircularAperture((50, 50), 5) + radius = 10 + apertures = photutils.CircularAperture((50, 50), radius) aperture_area = apertures.area() - assert_equal(aperture_area, 78.53981633974483) + # dq fuq does this number come from? + assert_equal(aperture_area, np.pi*radius**2) rawflux_table = photutils.aperture_photometry( test_data, apertures, subpixels=1, method="center") total_flux = float(rawflux_table['aperture_sum'][0]) - assert_equal(total_flux, 207.) + assert_equal(total_flux, test_data.sum()) def test_line_fit(): """Fit a Gaussian1D line to the data.""" plots = Imexamine() - plots.set_data(test_data) + in_amp = 3. + in_mean = 50. + in_stddev = 2. + in_const = 20. + # Set all the lines to be Gaussians + line_gauss = in_const + in_amp * np.exp(-0.5*((xx-in_mean)/in_stddev)**2) + plots.set_data(line_gauss) fit = plots.line_fit(50, 50, form='Gaussian1D', genplot=False) - amp = 2.8152269683542137 - mean = 49.45671107821953 - stddev = 13.051081779478146 - - assert_allclose(amp, fit.amplitude, 1e-6) - assert_allclose(mean, fit.mean, 1e-6) - assert_allclose(stddev, fit.stddev, 1e-6) - + assert_allclose(in_amp, fit.amplitude_0, 1e-6) + assert_allclose(in_mean, fit.mean_0, 1e-6) + assert_allclose(in_stddev, fit.stddev_0, 1e-6) + assert_allclose(in_const, fit.c0_1, 1e-6) def test_column_fit(): """Fit a Gaussian1D column to the data.""" plots = Imexamine() - plots.set_data(test_data) + in_amp = 3. + in_mean = 50. + in_stddev = 2. + in_const = 20. + # Set all the columns to be Gaussians + col_gauss = in_const + in_amp * np.exp(-0.5*((yy-in_mean)/in_stddev)**2) + plots.set_data(col_gauss) fit = plots.column_fit(50, 50, form='Gaussian1D', genplot=False) - amp = 2.8285560281694115 - mean = 49.42625526973088 - stddev = 12.791137635400535 - - assert_allclose(amp, fit.amplitude, 1e-6) - assert_allclose(mean, fit.mean, 1e-6) - assert_allclose(stddev, fit.stddev, 1e-6) - + assert_allclose(in_amp, fit.amplitude_0, 1e-6) + assert_allclose(in_mean, fit.mean_0, 1e-6) + assert_allclose(in_stddev, fit.stddev_0, 1e-6) + assert_allclose(in_const, fit.c0_1, 1e-6) def test_gauss_center(): """Check the gaussian center fitting.""" @@ -117,25 +122,36 @@ def test_gauss_center(): assert_allclose(xsig, xs, 0.01) assert_allclose(ysig, ys, 0.01) - def test_radial_profile(): """Test the radial profile function without background subtraction""" from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) + xx, yy = np.meshgrid(np.arange(25), np.arange(25)) + x0, y0 = np.where(data.array == data.array.max()) + + rad_in = np.sqrt((xx-x0)**2 + (yy-y0)**2) + rad_in = rad_in.ravel() + flux_in = data.array.ravel() + + order = np.argsort(rad_in) + rad_in = rad_in[order] + flux_in = flux_in[order] + plots = Imexamine() plots.set_data(data.array) # check the binned results plots.radial_profile_pars['pixels'][0] = False - x, y = plots.radial_profile(12, 12, genplot=False) + plots.radial_profile_pars['background'][0] = False + rad_out, flux_out = plots.radial_profile(12, 12, genplot=False) + + good = np.where(rad_in <= np.max(rad_out)) + rad_in = rad_in[good] + flux_in = flux_in[good] - rad = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] - flux = [4.53542348e-02, 3.00703719e-01, 3.54889792e-01, - 1.95806071e-01, 7.56662018e-02, 2.46976310e-02, - 2.54073324e-03, 1.51802506e-04, 1.08323362e-06, - 3.65945812e-10] + flux_in = np.bincount(rad_in.astype(np.int), flux_in) - assert_array_equal(rad, x) - assert_allclose(flux, y, 1e-7) + assert_array_equal(np.arange(flux_in.size), rad_out) + assert_allclose(flux_in-flux_out, flux_out*0, atol=1e-5) @pytest.mark.skipif('not HAS_PHOTUTILS') @@ -143,168 +159,71 @@ def test_radial_profile_background(): """Test the radial profile function with background subtraction""" from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) + xx, yy = np.meshgrid(np.arange(25), np.arange(25)) + x0, y0 = np.where(data.array == data.array.max()) + + rad_in = np.sqrt((xx-x0)**2 + (yy-y0)**2) + rad_in = rad_in.ravel() + flux_in = data.array.ravel() + + order = np.argsort(rad_in) + rad_in = rad_in[order] + flux_in = flux_in[order] + plots = Imexamine() plots.set_data(data.array) # check the binned results plots.radial_profile_pars['pixels'][0] = False plots.radial_profile_pars['background'][0] = True - x, y = plots.radial_profile(12, 12, genplot=False) + rad_out, flux_out = plots.radial_profile(12, 12, genplot=False) - rad = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] - flux = [4.535423e-02, 3.007037e-01, 3.548898e-01, 1.958061e-01, - 7.566620e-02, 2.469763e-02, 2.540733e-03, 1.518025e-04, - 1.083221e-06, 3.605551e-10] + good = np.where(rad_in <= np.max(rad_out)) + rad_in = rad_in[good] + flux_in = flux_in[good] - assert_array_equal(rad, x) - assert_allclose(flux, y, 1e-6) + flux_in = np.bincount(rad_in.astype(np.int), flux_in) + + assert_array_equal(np.arange(flux_in.size), rad_out) + assert_allclose(flux_in-flux_out, flux_out*0, atol=1e-5) def test_radial_profile_pixels(): """Test the radial profile function without background subtraction""" from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) + xx, yy = np.meshgrid(np.arange(25), np.arange(25)) + x0, y0 = np.where(data.array == data.array.max()) + + rad_in = np.sqrt((xx-x0)**2 + (yy-y0)**2) + + # It's going to crop things down apparently. plots = Imexamine() + datasize = int(plots.radial_profile_pars["rplot"][0])-1 + icentery = 12 + icenterx = 12 + rad_in = rad_in[icentery-datasize:icentery+datasize, + icenterx-datasize:icenterx+datasize] + flux_in = data.array[icentery-datasize:icentery+datasize, + icenterx-datasize:icenterx+datasize] + + rad_in = rad_in.ravel() + flux_in = flux_in.ravel() + + order = np.argsort(rad_in) + rad_in = rad_in[order] + flux_in = flux_in[order] + + plots.set_data(data.array) # check the unbinned results plots.radial_profile_pars['pixels'][0] = True - x, y = plots.radial_profile(12, 12, genplot=False) - - rad = [1.00485917e-14, 1.00000000e+00, 1.00000000e+00, - 1.00000000e+00, 1.00000000e+00, 1.41421356e+00, - 1.41421356e+00, 1.41421356e+00, 1.41421356e+00, - 2.00000000e+00, 2.00000000e+00, 2.00000000e+00, - 2.00000000e+00, 2.23606798e+00, 2.23606798e+00, - 2.23606798e+00, 2.23606798e+00, 2.23606798e+00, - 2.23606798e+00, 2.23606798e+00, 2.23606798e+00, - 2.82842712e+00, 2.82842712e+00, 2.82842712e+00, - 2.82842712e+00, 3.00000000e+00, 3.00000000e+00, - 3.00000000e+00, 3.00000000e+00, 3.16227766e+00, - 3.16227766e+00, 3.16227766e+00, 3.16227766e+00, - 3.16227766e+00, 3.16227766e+00, 3.16227766e+00, - 3.16227766e+00, 3.60555128e+00, 3.60555128e+00, - 3.60555128e+00, 3.60555128e+00, 3.60555128e+00, - 3.60555128e+00, 3.60555128e+00, 3.60555128e+00, - 4.00000000e+00, 4.00000000e+00, 4.00000000e+00, - 4.00000000e+00, 4.12310563e+00, 4.12310563e+00, - 4.12310563e+00, 4.12310563e+00, 4.12310563e+00, - 4.12310563e+00, 4.12310563e+00, 4.12310563e+00, - 4.24264069e+00, 4.24264069e+00, 4.24264069e+00, - 4.24264069e+00, 4.47213595e+00, 4.47213595e+00, - 4.47213595e+00, 4.47213595e+00, 4.47213595e+00, - 4.47213595e+00, 4.47213595e+00, 4.47213595e+00, - 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, - 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, - 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, - 5.00000000e+00, 5.00000000e+00, 5.00000000e+00, - 5.09901951e+00, 5.09901951e+00, 5.09901951e+00, - 5.09901951e+00, 5.09901951e+00, 5.09901951e+00, - 5.09901951e+00, 5.09901951e+00, 5.38516481e+00, - 5.38516481e+00, 5.38516481e+00, 5.38516481e+00, - 5.38516481e+00, 5.38516481e+00, 5.38516481e+00, - 5.38516481e+00, 5.65685425e+00, 5.65685425e+00, - 5.65685425e+00, 5.65685425e+00, 5.83095189e+00, - 5.83095189e+00, 5.83095189e+00, 5.83095189e+00, - 5.83095189e+00, 5.83095189e+00, 5.83095189e+00, - 5.83095189e+00, 6.00000000e+00, 6.00000000e+00, - 6.00000000e+00, 6.00000000e+00, 6.08276253e+00, - 6.08276253e+00, 6.08276253e+00, 6.08276253e+00, - 6.08276253e+00, 6.08276253e+00, 6.08276253e+00, - 6.08276253e+00, 6.32455532e+00, 6.32455532e+00, - 6.32455532e+00, 6.32455532e+00, 6.32455532e+00, - 6.32455532e+00, 6.32455532e+00, 6.32455532e+00, - 6.40312424e+00, 6.40312424e+00, 6.40312424e+00, - 6.40312424e+00, 6.40312424e+00, 6.40312424e+00, - 6.40312424e+00, 6.40312424e+00, 6.70820393e+00, - 6.70820393e+00, 6.70820393e+00, 6.70820393e+00, - 6.70820393e+00, 6.70820393e+00, 6.70820393e+00, - 6.70820393e+00, 7.00000000e+00, 7.00000000e+00, - 7.07106781e+00, 7.07106781e+00, 7.07106781e+00, - 7.07106781e+00, 7.07106781e+00, 7.07106781e+00, - 7.07106781e+00, 7.07106781e+00, 7.21110255e+00, - 7.21110255e+00, 7.21110255e+00, 7.21110255e+00, - 7.21110255e+00, 7.21110255e+00, 7.21110255e+00, - 7.21110255e+00, 7.28010989e+00, 7.28010989e+00, - 7.28010989e+00, 7.28010989e+00, 7.61577311e+00, - 7.61577311e+00, 7.61577311e+00, 7.61577311e+00, - 7.81024968e+00, 7.81024968e+00, 7.81024968e+00, - 7.81024968e+00, 7.81024968e+00, 7.81024968e+00, - 7.81024968e+00, 7.81024968e+00, 8.06225775e+00, - 8.06225775e+00, 8.06225775e+00, 8.06225775e+00, - 8.48528137e+00, 8.48528137e+00, 8.48528137e+00, - 8.48528137e+00, 8.60232527e+00, 8.60232527e+00, - 8.60232527e+00, 8.60232527e+00, 9.21954446e+00, - 9.21954446e+00, 9.21954446e+00, 9.21954446e+00, - 9.89949494e+00] - - flux = [1.19552465e-02, 2.32856406e-02, 2.32856406e-02, - 3.93558331e-03, 3.93558331e-03, 4.53542348e-02, - 7.66546959e-03, 7.66546959e-03, 1.29556643e-03, - 2.90802459e-02, 2.90802459e-02, 8.30691786e-04, - 8.30691786e-04, 5.66405848e-02, 5.66405848e-02, - 9.57301302e-03, 9.57301302e-03, 1.61796667e-03, - 1.61796667e-03, 2.73457911e-04, 2.73457911e-04, - 7.07355303e-02, 2.02059585e-03, 2.02059585e-03, - 5.77193322e-05, 2.32856406e-02, 2.32856406e-02, - 1.12421908e-04, 1.12421908e-04, 4.53542348e-02, - 4.53542348e-02, 7.66546959e-03, 7.66546959e-03, - 2.18967977e-04, 2.18967977e-04, 3.70085038e-05, - 3.70085038e-05, 5.66405848e-02, 5.66405848e-02, - 1.61796667e-03, 1.61796667e-03, 2.73457911e-04, - 2.73457911e-04, 7.81146217e-06, 7.81146217e-06, - 1.19552465e-02, 1.19552465e-02, 9.75533570e-06, - 9.75533570e-06, 2.32856406e-02, 2.32856406e-02, - 3.93558331e-03, 3.93558331e-03, 1.90007994e-05, - 1.90007994e-05, 3.21138811e-06, 3.21138811e-06, - 4.53542348e-02, 2.18967977e-04, 2.18967977e-04, - 1.05716645e-06, 2.90802459e-02, 2.90802459e-02, - 8.30691786e-04, 8.30691786e-04, 2.37291269e-05, - 2.37291269e-05, 6.77834392e-07, 6.77834392e-07, - 2.32856406e-02, 2.32856406e-02, 3.93558331e-03, - 3.93558331e-03, 1.12421908e-04, 1.12421908e-04, - 1.90007994e-05, 1.90007994e-05, 5.42767351e-07, - 5.42767351e-07, 9.17349095e-08, 9.17349095e-08, - 7.66546959e-03, 7.66546959e-03, 1.29556643e-03, - 1.29556643e-03, 1.05716645e-06, 1.05716645e-06, - 1.78675206e-07, 1.78675206e-07, 9.57301302e-03, - 9.57301302e-03, 2.73457911e-04, 2.73457911e-04, - 1.32024112e-06, 1.32024112e-06, 3.77133487e-08, - 3.77133487e-08, 1.19552465e-02, 9.75533570e-06, - 9.75533570e-06, 7.96023526e-09, 7.66546959e-03, - 7.66546959e-03, 3.70085038e-05, 3.70085038e-05, - 1.05716645e-06, 1.05716645e-06, 5.10394673e-09, - 5.10394673e-09, 8.30691786e-04, 8.30691786e-04, - 1.93626789e-08, 1.93626789e-08, 1.61796667e-03, - 1.61796667e-03, 2.73457911e-04, 2.73457911e-04, - 3.77133487e-08, 3.77133487e-08, 6.37405811e-09, - 6.37405811e-09, 2.02059585e-03, 2.02059585e-03, - 5.77193322e-05, 5.77193322e-05, 4.70982729e-08, - 4.70982729e-08, 1.34538575e-09, 1.34538575e-09, - 3.93558331e-03, 3.93558331e-03, 3.21138811e-06, - 3.21138811e-06, 5.42767351e-07, 5.42767351e-07, - 4.42891556e-10, 4.42891556e-10, 1.61796667e-03, - 1.61796667e-03, 7.81146217e-06, 7.81146217e-06, - 3.77133487e-08, 3.77133487e-08, 1.82078162e-10, - 1.82078162e-10, 1.12421908e-04, 1.12421908e-04, - 1.29556643e-03, 2.18967977e-04, 2.18967977e-04, - 3.70085038e-05, 3.70085038e-05, 1.78675206e-07, - 1.78675206e-07, 2.46415996e-11, 8.30691786e-04, - 8.30691786e-04, 6.77834392e-07, 6.77834392e-07, - 1.93626789e-08, 1.93626789e-08, 1.57997104e-11, - 1.57997104e-11, 2.73457911e-04, 2.73457911e-04, - 7.81146217e-06, 7.81146217e-06, 2.18967977e-04, - 2.18967977e-04, 1.05716645e-06, 1.05716645e-06, - 2.73457911e-04, 2.73457911e-04, 3.77133487e-08, - 3.77133487e-08, 6.37405811e-09, 6.37405811e-09, - 8.79064260e-13, 8.79064260e-13, 1.12421908e-04, - 1.12421908e-04, 9.17349095e-08, 9.17349095e-08, - 5.77193322e-05, 1.34538575e-09, 1.34538575e-09, - 3.13597326e-14, 3.70085038e-05, 3.70085038e-05, - 5.10394673e-09, 5.10394673e-09, 7.81146217e-06, - 7.81146217e-06, 1.82078162e-10, 1.82078162e-10, - 1.05716645e-06] - - assert_allclose(rad, x, 1e-7) - assert_allclose(flux, y, 1e-7) + out_radius, out_flux = plots.radial_profile(12, 12, genplot=False) + good = np.where(rad_in <= np.max(out_radius)) + rad_in = rad_in[good] + flux_in = flux_in[good] + + assert_allclose(rad_in, out_radius, 1e-7) + assert_allclose(flux_in, out_flux, 1e-7) @pytest.mark.skipif('not HAS_PHOTUTILS') @@ -314,17 +233,18 @@ def test_curve_of_growth(): data = Gaussian2DKernel(1.5, x_size=25, y_size=25) plots = Imexamine() plots.set_data(data.array) - x, y = plots.curve_of_growth(12, 12, genplot=False) - - rad = [1, 2, 3, 4, 5, 6, 7, 8] - flux = [0.04535423476987057, - 0.34605795394960859, - 0.70094774639729907, - 0.89675381769455764, - 0.97242001951216395, - 0.99711765053819645, - 0.99965838382174854, - 0.99998044756724924] - - assert_array_equal(rad, x) - assert_allclose(flux, y, 1e-6) + rad_out, flux_out = plots.curve_of_growth(12, 12, genplot=False) + + rads = [1, 2, 3, 4, 5, 6, 7, 8] + flux = [] + # Run the aperture phot on this to build up the expected fluxes + plots.aper_phot_pars['genplot'][0] = False + plots.aper_phot_pars['subsky'][0] = False + + for rad in rads: + plots.aper_phot_pars['radius'][0] = rad + plots.aper_phot(12,12) + flux.append(plots.total_flux) + + assert_array_equal(rads, rad_out) + assert_allclose(flux, flux_out, 1e-6) From 1d26d57d4c9e77a322994f6287a370d86bdf3037 Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Thu, 11 Jan 2018 10:16:55 -0800 Subject: [PATCH 14/44] fix another unit test and flake8 a bit --- imexam/imexam_defpars.py | 58 +++++++++++++++++----------------- imexam/imexamine.py | 26 +++++++-------- imexam/tests/test_imexamine.py | 42 +++++++++++++----------- 3 files changed, 63 insertions(+), 63 deletions(-) diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index ba83bd1b..60f74e22 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -10,19 +10,19 @@ # aperture photometry parameters aper_phot_pars = {"function": ["aper_phot", ], - "center": [True, "Center the object location using a 2d gaussian fit"], - "width": [5, "Width of sky annulus in pixels"], - "subsky": [True, "Subtract a sky background?"], - "skyrad": [15, "Distance to start sky annulus is pixels"], - "radius": [5, "Radius of aperture for star flux"], - "zmag": [25., "zeropoint for the magnitude calculation"], - "genplot": [True, "Plot the apertures"], - "title": [None, "Title of the plot"], - "scale": ['zscale', "How to scale the image"], - "color_min": [None, "Minimum color value"], - "color_max": [None, "Maximum color value"], - "cmap": ['Greys', "Matplotloib colormap to use"], - } + "center": [True, "Center the object location using a 2d gaussian fit"], + "width": [5, "Width of sky annulus in pixels"], + "subsky": [True, "Subtract a sky background?"], + "skyrad": [15, "Distance to start sky annulus is pixels"], + "radius": [5, "Radius of aperture for star flux"], + "zmag": [25., "zeropoint for the magnitude calculation"], + "genplot": [True, "Plot the apertures"], + "title": [None, "Title of the plot"], + "scale": ['zscale', "How to scale the image"], + "color_min": [None, "Minimum color value"], + "color_max": [None, "Maximum color value"], + "cmap": ['Greys', "Matplotloib colormap to use"], + } # box statistics @@ -33,22 +33,22 @@ # radial profile plots radial_profile_pars = {"function": ["radial_profile", ], - "title": [None, "Title of the plot"], - "xlabel": ["Radius", "The string for the xaxis label"], - "ylabel": ["Flux", "The string for the yaxis label"], - "pixels": [True, "Plot all pixels at each radius? (False bins the data)"], - "fitplot": [False, "Overplot profile fit?"], - "fittype": ["Gaussian2D", "Profile type to fit (Gaussian2D)"], - "center": [True, "Solve for center using 2d Gaussian? [bool]"], - "background": [False, "Subtract background? [bool]"], - "skyrad": [10., "Background inner radius in pixels, from center of object"], - "width": [5., "Background annulus width in pixels"], - "magzero": [25., "magnitude zero point"], - "rplot": [8., "Plotting radius in pixels"], - "pointmode": [True, "plot points instead of lines? [bool]"], - "marker": ["o", "The marker character to use, matplotlib style"], - "getdata": [False, "print the plotted data values"] - } + "title": [None, "Title of the plot"], + "xlabel": ["Radius", "The string for the xaxis label"], + "ylabel": ["Flux", "The string for the yaxis label"], + "pixels": [True, "Plot all pixels at each radius? (False bins the data)"], + "fitplot": [False, "Overplot profile fit?"], + "fittype": ["Gaussian2D", "Profile type to fit (Gaussian2D)"], + "center": [True, "Solve for center using 2d Gaussian? [bool]"], + "background": [False, "Subtract background? [bool]"], + "skyrad": [10., "Background inner radius in pixels, from center of object"], + "width": [5., "Background annulus width in pixels"], + "magzero": [25., "magnitude zero point"], + "rplot": [8., "Plotting radius in pixels"], + "pointmode": [True, "plot points instead of lines? [bool]"], + "marker": ["o", "The marker character to use, matplotlib style"], + "getdata": [False, "print the plotted data values"] + } # curve of growth curve_of_growth_pars = {"function": ["curve_of_growth", ], diff --git a/imexam/imexamine.py b/imexam/imexamine.py index addf74cf..e42a9a53 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -578,7 +578,7 @@ def aper_phot(self, x, y, data=None, fig=None): # Construct the output strings (header and parameter values) pheader = "x\ty\tradius\tflux\tmag(zpt={0:0.2f})\t".format(magzero) - pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t".format(x, y, radius,total_flux, mag) + pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t".format(x, y, radius, total_flux, mag) if sky_per_pix is not None: pheader += "sky/pix\t" @@ -599,13 +599,15 @@ def aper_phot(self, x, y, data=None, fig=None): pfig = fig if fig is None: # Make sure figure is square so round stars look round - fig = plt.figure(self._figure_name, figsize=[5,5]) + fig = plt.figure(self._figure_name, figsize=[5, 5]) fig.clf() fig.add_subplot(111) ax = plt.gca() if self.aper_phot_pars["title"][0] is None: - title = "x=%.2f, y=%.2f, flux=%.1f, \nmag=%.1f, sky=%.1f" % (x,y, total_flux, mag, sky_per_pix) + title = "x=%.2f, y=%.2f, flux=%.1f, \nmag=%.1f, sky=%.1f" % (x, y, + total_flux, mag, + sky_per_pix) if center: title += ", fwhm=%.2f" % math_helper.gfwhm(sigma)[0] ax.set_title(title) @@ -623,10 +625,6 @@ def aper_phot(self, x, y, data=None, fig=None): vmin=color_range[0], vmax=color_range[1], extent=[int(x-pad), int(x+pad), int(y-pad), int(y+pad)], origin='lower', cmap=self.aper_phot_pars['cmap'][0]) - - #ax.set_xlim([x-pad, x+pad]) - #ax.set_ylim([y-pad, y+pad]) - #cb = plt.colorbar(ax) apertures.plot(ax=ax, color='green', alpha=0.75) if subsky: @@ -638,7 +636,6 @@ def aper_phot(self, x, y, data=None, fig=None): else: fig.canvas.draw() - def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False): """compute the 1D fit to the line of data using the specified form. @@ -795,8 +792,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False self.log.info(pstr) elif fitform.name is "Polynomial1D": ax.set_title("{0:s} degree={1:d}".format(title, degree)) - pstr = "({0:d},{1:d}) degree={2:d}".format( - int(x), int(y), degree) + pstr = "({0:d},{1:d}) degree={2:d}".format(int(x), int(y), degree) self.log.info(fitted.parameters) self.log.info(pstr) elif fitform.name is "AiryDisk2D": @@ -848,7 +844,7 @@ def column_fit(self, x, y, data=None, form=None, genplot=True, fig=None): but this is currently not done for Polynomial1D """ - result = self.line_fit(x,y,data=data, form=form, + result = self.line_fit(x, y, data=data, form=form, genplot=genplot, fig=fig, col=True) if not genplot: return result @@ -877,8 +873,8 @@ def gauss_center(self, x, y, data=None, delta=10): delta = delta/2 delta = int(delta) - xx=int(x) - yy=int(y) + xx = int(x) + yy = int(y) # flipped from xpa chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] try: @@ -983,8 +979,8 @@ def radial_profile(self, x, y, data=None, form=None, if subtract_background: inner = self.radial_profile_pars["skyrad"][0] width = self.radial_profile_pars["width"][0] - annulus_apertures = photutils.CircularAnnulus( - (centerx, centery), r_in=inner, r_out=inner+width) + annulus_apertures = photutils.CircularAnnulus((centerx, centery), + r_in=inner, r_out=inner+width) bkgflux_table = photutils.aperture_photometry(data, annulus_apertures) diff --git a/imexam/tests/test_imexamine.py b/imexam/tests/test_imexamine.py index ec42aa4a..b762fb41 100644 --- a/imexam/tests/test_imexamine.py +++ b/imexam/tests/test_imexamine.py @@ -25,7 +25,7 @@ # make some data to test with test_data = np.zeros((100, 100), dtype=np.float) test_data[45:55, 45:55] = 3.0 -xx,yy = np.meshgrid(np.arange(100), np.arange(100)) +xx, yy = np.meshgrid(np.arange(100), np.arange(100)) @pytest.mark.skipif('not HAS_MATPLOTLIB') @@ -85,6 +85,7 @@ def test_line_fit(): assert_allclose(in_stddev, fit.stddev_0, 1e-6) assert_allclose(in_const, fit.c0_1, 1e-6) + def test_column_fit(): """Fit a Gaussian1D column to the data.""" plots = Imexamine() @@ -101,26 +102,30 @@ def test_column_fit(): assert_allclose(in_stddev, fit.stddev_0, 1e-6) assert_allclose(in_const, fit.c0_1, 1e-6) + def test_gauss_center(): """Check the gaussian center fitting.""" # make a 2d dataset with a gaussian at the center - from astropy.convolution import Gaussian2DKernel - gaussian_2D_kernel = Gaussian2DKernel(10) + in_amp = 12. + in_xc = 50. + in_yc = 50. + in_xsig = 3. + in_ysig = 2. + in_back = 20. + + xx, yy = np.meshgrid(np.arange(100), np.arange(100)) + image = in_back + in_amp * np.exp(-.5*((xx-in_xc)/in_xsig)**2) * np.exp(-.5*((yy-in_yc)/in_ysig)**2) plots = Imexamine() - plots.set_data(gaussian_2D_kernel.array) - a, xx, yy, xs, ys = plots.gauss_center(37, 37) + plots.set_data(image) + # Intentionally guess off-center + a, xx, yy, xs, ys = plots.gauss_center(48, 52) - amp = 0.0015915494309189533 - xc = 40.0 - yc = 40.0 - xsig = 10.0 - ysig = 10.0 + assert_allclose(in_amp, a, 1e-6) + assert_allclose(in_xc, xx, 1e-4) + assert_allclose(in_yc, yy, 1e-4) + assert_allclose(in_xsig, xs, 0.01) + assert_allclose(in_ysig, ys, 0.01) - assert_allclose(amp, a, 1e-6) - assert_allclose(xc, xx, 1e-4) - assert_allclose(yc, yy, 1e-4) - assert_allclose(xsig, xs, 0.01) - assert_allclose(ysig, ys, 0.01) def test_radial_profile(): """Test the radial profile function without background subtraction""" @@ -213,7 +218,6 @@ def test_radial_profile_pixels(): rad_in = rad_in[order] flux_in = flux_in[order] - plots.set_data(data.array) # check the unbinned results plots.radial_profile_pars['pixels'][0] = True @@ -242,9 +246,9 @@ def test_curve_of_growth(): plots.aper_phot_pars['subsky'][0] = False for rad in rads: - plots.aper_phot_pars['radius'][0] = rad - plots.aper_phot(12,12) - flux.append(plots.total_flux) + plots.aper_phot_pars['radius'][0] = rad + plots.aper_phot(12, 12) + flux.append(plots.total_flux) assert_array_equal(rads, rad_out) assert_allclose(flux, flux_out, 1e-6) From 034992d73ce150b4891815ec7ece84f3c8f76ed7 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 17 Jan 2018 14:21:49 -0500 Subject: [PATCH 15/44] cleanup in math_helper and conflict resolution --- CHANGES.rst | 6 +++++ imexam/imexamine.py | 1 - imexam/math_helper.py | 58 ++++++++++++++++++++++++++----------------- 3 files changed, 41 insertions(+), 24 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index e095a17e..a26d21a3 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,5 +1,11 @@ version 0.8.1dev (unreleased) ----------------------------- +- code cleanup and minor bug fixes +- background fit added to 1D and 2D Gaussian fits +- plotting AiryDist2D is now possible +- unit test updates +- new options added to the aperture phot parameter set that allow users to plot the used apertures +- ZScaleInterval added from astropy.virtualization to set the color range on the data for aperture photometry version 0.8.0 (released) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index e42a9a53..6f4eec3d 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -593,7 +593,6 @@ def aper_phot(self, x, y, data=None, fig=None): # Save the total flux for unit testing things later self.total_flux = total_flux - # print(pheader + pstr) self.log.info(pheader + pstr) if self.aper_phot_pars["genplot"][0]: pfig = fig diff --git a/imexam/math_helper.py b/imexam/math_helper.py index 728fc69e..265d24c2 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -9,10 +9,26 @@ from astropy.modeling import models, fitting +def convert_sigma_to_fwhm(sigma): + """Compute the gaussian fwhm using known standard deviation. + + Parameters + ---------- + sigma: float + The input value to use + + Notes + ----- + This conversion is valid for a normal distribution where + the mean and mode are effectively the same and sigma !=0 + + """ + + return sigma * np.sqrt(8.0 * np.log(2.)) def gfwhm(sigmax, sigmay=None): - """Compute the gaussian full width half max. + """Compute the Gaussian full width half max. Parameters ---------- @@ -25,19 +41,17 @@ def gfwhm(sigmax, sigmay=None): Returns ------- - The FWHM tuple for the gaussian + The FWHM tuple for the Gaussian """ if sigmax is None: - print("Need at least one sigma value") + print("Need at least one sigma value for Gaussian FWHM") return (None, None) - g = lambda x: x * np.sqrt(8.0 * np.log(2.)) - if sigmay is None: - return (g(sigmax), g(sigmax)) # assume circular where sigmax = sigmay + return (convert_sigma_to_fwhm(sigmax), convert_sigma_to_fwhm(sigmax)) # assume circular where sigmax = sigmay else: - return (g(sigmax), g(sigmay)) + return (convert_sigma_to_fwhm(sigmax), convert_sigma_to_fwhm(sigmay)) def mfwhm(alpha=0, gamma=0): @@ -58,12 +72,10 @@ def mfwhm(alpha=0, gamma=0): fwhm = 2* alpha * sqrt(2^(1/gamma) -1 )) """ if alpha == 0 or gamma == 0: - print("Need alpha AND gamma values") + print("Need alpha AND gamma values for moffat FWHM") return None - g = lambda x, y: 2 * x * np.sqrt(2 ** (1/y) - 1) - - return g(alpha, gamma) + return 2 * alpha * np.sqrt(2 ** (1 / gamma) - 1) def fit_moffat_1d(data, gamma=2., alpha=1.): @@ -76,8 +88,8 @@ def fit_moffat_1d(data, gamma=2., alpha=1.): fit = fitting.LevMarLSQFitter() # Moffat1D + constant - model = models.Moffat1D(amplitude=max(data), x_0=ldata/2, gamma=gamma, alpha=alpha) +\ - models.Polynomial1D(c0=data.min(), degree=0) + model = (models.Moffat1D(amplitude=max(data), x_0=ldata / 2, gamma=gamma, alpha=alpha) + + models.Polynomial1D(c0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -98,8 +110,8 @@ def fit_gauss_1d(data): fit = fitting.LevMarLSQFitter() # Gaussian1D + a constant - model = models.Gaussian1D(amplitude=data.max()-data.min(), mean=delta, stddev=1.) + \ - models.Polynomial1D(c0=data.min(), degree=0) + model = (models.Gaussian1D(amplitude=data.max() - data.min(), mean=delta, stddev=1.) + + models.Polynomial1D(c0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -129,8 +141,8 @@ def gauss_center(data, sigma=3., theta=0.): fit = fitting.LevMarLSQFitter() # Gaussian2D(amp,xmean,ymean,xstd,ystd,theta) + a constant - model = models.Gaussian2D(amp, delta, delta, sigma, sigma, theta) +\ - models.Polynomial2D(c0_0=data.min(), degree=0) + model = (models.Gaussian2D(amp, delta, delta, sigma, sigma, theta) + + models.Polynomial2D(c0_0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -150,9 +162,9 @@ def fit_mex_hat_1d(data): fit = fitting.LevMarLSQFitter() # Mexican Hat 1D + constant - model = models.MexicanHat1D(amplitude=np.max(data), - x_0=ldata/2, sigma=2., fixed=fixed_pars) +\ - models.Polynomial1D(c0=data.min(), degree=0) + model = (models.MexicanHat1D(amplitude=np.max(data), + x_0=ldata / 2, sigma=2., fixed=fixed_pars) + + models.Polynomial1D(c0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -178,9 +190,9 @@ def fit_airy_2d(data, x=None, y=None): fit = fitting.LevMarLSQFitter() # AiryDisk2D(amplitude, x_0, y_0, radius) + constant - model = models.AiryDisk2D(np.max(data), x_0=x, y_0=y, radius=delta, - fixed=fixed_pars) +\ - models.Polynomial2D(c0_0=data.min(), degree=0) + model = (models.AiryDisk2D(np.max(data), x_0=x, y_0=y, radius=delta, + fixed=fixed_pars) + + models.Polynomial2D(c0_0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model warnings for new_plot_window warnings.simplefilter('ignore') From 42d1bdc5162fe82eee6977c184e2c4ff88f803cc Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 17 Jan 2018 15:52:47 -0500 Subject: [PATCH 16/44] pep8 fixes and changes recorded to file --- CHANGES.rst | 5 +++-- imexam/imexamine.py | 15 +++++++++------ imexam/tests/test_imexamine.py | 29 +++++++++++++++-------------- 3 files changed, 27 insertions(+), 22 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index a26d21a3..f4211c59 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -2,10 +2,11 @@ version 0.8.1dev (unreleased) ----------------------------- - code cleanup and minor bug fixes - background fit added to 1D and 2D Gaussian fits -- plotting AiryDist2D is now possible +- plotting AiryDisk2D fit is now possible - unit test updates - new options added to the aperture phot parameter set that allow users to plot the used apertures -- ZScaleInterval added from astropy.virtualization to set the color range on the data for aperture photometry +- ZScaleInterval added from astropy.virtualization to set the color range on the data for aperture photometry plot + version 0.8.0 (released) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 6f4eec3d..7a847e68 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -48,7 +48,8 @@ PY3 = True # turn on interactive mode for plotting -plt.ion() +if not plt.isinteractive(): + plt.ion() # enable display plot in iPython notebook try: @@ -90,7 +91,7 @@ def __init__(self): self._figure_name = "imexam" self._plot_windows.append(self._figure_name) self._reserved_keys = ['q', '2'] # not to be changed with user funcs - self._fit_models = ["Gaussian1D", "Moffat1D", "MexicanHat1D"] + self._fit_models = ["Gaussian1D", "Moffat1D", "MexicanHat1D", "AiryDisk2D", "Polynomial1D"] # see if the package logger was already started self.log = logging.getLogger(__name__) @@ -363,7 +364,7 @@ def plot_column(self, x, y, data=None, fig=None): ax.set_ylabel(self.colplot_pars["ylabel"][0]) if not self.colplot_pars["xmax"][0]: - xmax = len(data[:, x]) + xmax = len(data[:, int(x)]) else: xmax = self.colplot_pars["xmax"][0] ax.set_xlim(self.colplot_pars["xmin"][0], xmax) @@ -1498,14 +1499,16 @@ def cutout(self, x, y, data=None, size=None, fig=None): if size is None: size = self.cutout_pars["size"][0] - prefix = "cutout_{0}_{1}_".format(int(x), int(y)) + xx = int(x) + yy = int(y) + prefix = "cutout_{0}_{1}_".format(xx, yy) fname = tempfile.mkstemp(prefix=prefix, suffix=".fits", dir="./")[-1] - cutout = data[y-size:y+size, x-size:x+size] + cutout = data[yy-size:yy+size, xx-size:xx+size] hdu = fits.PrimaryHDU(cutout) hdulist = fits.HDUList([hdu]) hdulist[0].header['EXTEND'] = False hdulist.writeto(fname) - self.log.info("Cutout at ({0},{1}) saved to {2:s}".format(x, y, fname)) + self.log.info("Cutout at ({0},{1}) saved to {2:s}".format(xx, yy, fname)) def register(self, user_funcs): """register a new imexamine function made by the user as an option. diff --git a/imexam/tests/test_imexamine.py b/imexam/tests/test_imexamine.py index b762fb41..416b11ba 100644 --- a/imexam/tests/test_imexamine.py +++ b/imexam/tests/test_imexamine.py @@ -59,7 +59,7 @@ def test_aper_phot(capsys): apertures = photutils.CircularAperture((50, 50), radius) aperture_area = apertures.area() # dq fuq does this number come from? - assert_equal(aperture_area, np.pi*radius**2) + assert_equal(aperture_area, np.pi * radius**2) rawflux_table = photutils.aperture_photometry( test_data, apertures, @@ -77,7 +77,7 @@ def test_line_fit(): in_stddev = 2. in_const = 20. # Set all the lines to be Gaussians - line_gauss = in_const + in_amp * np.exp(-0.5*((xx-in_mean)/in_stddev)**2) + line_gauss = in_const + in_amp * np.exp(-0.5 * ((xx - in_mean) / in_stddev)**2) plots.set_data(line_gauss) fit = plots.line_fit(50, 50, form='Gaussian1D', genplot=False) assert_allclose(in_amp, fit.amplitude_0, 1e-6) @@ -94,7 +94,7 @@ def test_column_fit(): in_stddev = 2. in_const = 20. # Set all the columns to be Gaussians - col_gauss = in_const + in_amp * np.exp(-0.5*((yy-in_mean)/in_stddev)**2) + col_gauss = in_const + in_amp * np.exp(-0.5 * ((yy - in_mean) / in_stddev)**2) plots.set_data(col_gauss) fit = plots.column_fit(50, 50, form='Gaussian1D', genplot=False) assert_allclose(in_amp, fit.amplitude_0, 1e-6) @@ -114,7 +114,8 @@ def test_gauss_center(): in_back = 20. xx, yy = np.meshgrid(np.arange(100), np.arange(100)) - image = in_back + in_amp * np.exp(-.5*((xx-in_xc)/in_xsig)**2) * np.exp(-.5*((yy-in_yc)/in_ysig)**2) + image = (in_back + in_amp * np.exp(-.5 * ((xx - in_xc) / in_xsig)**2) + * np.exp(-.5 * ((yy - in_yc) / in_ysig)**2)) plots = Imexamine() plots.set_data(image) # Intentionally guess off-center @@ -134,7 +135,7 @@ def test_radial_profile(): xx, yy = np.meshgrid(np.arange(25), np.arange(25)) x0, y0 = np.where(data.array == data.array.max()) - rad_in = np.sqrt((xx-x0)**2 + (yy-y0)**2) + rad_in = np.sqrt((xx - x0)**2 + (yy - y0)**2) rad_in = rad_in.ravel() flux_in = data.array.ravel() @@ -156,7 +157,7 @@ def test_radial_profile(): flux_in = np.bincount(rad_in.astype(np.int), flux_in) assert_array_equal(np.arange(flux_in.size), rad_out) - assert_allclose(flux_in-flux_out, flux_out*0, atol=1e-5) + assert_allclose(flux_in - flux_out, flux_out * 0, atol=1e-5) @pytest.mark.skipif('not HAS_PHOTUTILS') @@ -167,7 +168,7 @@ def test_radial_profile_background(): xx, yy = np.meshgrid(np.arange(25), np.arange(25)) x0, y0 = np.where(data.array == data.array.max()) - rad_in = np.sqrt((xx-x0)**2 + (yy-y0)**2) + rad_in = np.sqrt((xx - x0)**2 + (yy - y0)**2) rad_in = rad_in.ravel() flux_in = data.array.ravel() @@ -189,7 +190,7 @@ def test_radial_profile_background(): flux_in = np.bincount(rad_in.astype(np.int), flux_in) assert_array_equal(np.arange(flux_in.size), rad_out) - assert_allclose(flux_in-flux_out, flux_out*0, atol=1e-5) + assert_allclose(flux_in - flux_out, flux_out * 0, atol=1e-5) def test_radial_profile_pixels(): @@ -199,17 +200,17 @@ def test_radial_profile_pixels(): xx, yy = np.meshgrid(np.arange(25), np.arange(25)) x0, y0 = np.where(data.array == data.array.max()) - rad_in = np.sqrt((xx-x0)**2 + (yy-y0)**2) + rad_in = np.sqrt((xx - x0)**2 + (yy - y0)**2) # It's going to crop things down apparently. plots = Imexamine() - datasize = int(plots.radial_profile_pars["rplot"][0])-1 + datasize = int(plots.radial_profile_pars["rplot"][0]) - 1 icentery = 12 icenterx = 12 - rad_in = rad_in[icentery-datasize:icentery+datasize, - icenterx-datasize:icenterx+datasize] - flux_in = data.array[icentery-datasize:icentery+datasize, - icenterx-datasize:icenterx+datasize] + rad_in = rad_in[icentery - datasize:icentery + datasize, + icenterx - datasize:icenterx + datasize] + flux_in = data.array[icentery - datasize:icentery + datasize, + icenterx - datasize:icenterx + datasize] rad_in = rad_in.ravel() flux_in = flux_in.ravel() From 168b2affe33e2c17a592cd13c58afccf80cd5c3d Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Thu, 18 Jan 2018 19:01:36 -0500 Subject: [PATCH 17/44] fixed the data reference in aper_phot and ginga works again --- CHANGES.rst | 1 - imexam/imexamine.py | 7 ++----- 2 files changed, 2 insertions(+), 6 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index f4211c59..baee80c2 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -8,7 +8,6 @@ version 0.8.1dev (unreleased) - ZScaleInterval added from astropy.virtualization to set the color range on the data for aperture photometry plot - version 0.8.0 (released) ------------------------ - fixed show_xpa_commands bug sending None instead of empty string diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 7a847e68..92fcd048 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -201,9 +201,6 @@ def option_descrip(self, key, field=1): """ return self.imexam_option_funcs[key][field] - def set_data(self, data=np.zeros(0)): - """initialize the data that imexamine uses.""" - self._data = data def set_plot_name(self, filename=None): """set the default plot name for the "s" key. @@ -616,12 +613,12 @@ def aper_phot(self, x, y, data=None, fig=None): if self.aper_phot_pars['scale'][0] == 'zscale': zs = ZScaleInterval() - color_range = zs.get_limits(self._data) + color_range = zs.get_limits(data) else: color_range = [self.aper_phot_pars['color_min'][0], self.aper_phot_pars['color_max'][0]] pad = outer*1.2 # XXX TODO: Bad magic number - ax.imshow(self._data[int(y-pad):int(y+pad), int(x-pad):int(x+pad)], + ax.imshow(data[int(y-pad):int(y+pad), int(x-pad):int(x+pad)], vmin=color_range[0], vmax=color_range[1], extent=[int(x-pad), int(x+pad), int(y-pad), int(y+pad)], origin='lower', cmap=self.aper_phot_pars['cmap'][0]) From 3c6378039f4755f9133262347d7e88297f207178 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Mon, 22 Jan 2018 15:11:31 -0500 Subject: [PATCH 18/44] Move lamda function to astropy constant for fwhm conversion, pep8 cleanup --- CHANGES.rst | 2 +- imexam/imexamine.py | 55 +++++++++++++++++++--------------- imexam/math_helper.py | 30 +++++-------------- imexam/tests/test_imexamine.py | 51 +++++++++++++++---------------- 4 files changed, 66 insertions(+), 72 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index baee80c2..efd23877 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -6,7 +6,7 @@ version 0.8.1dev (unreleased) - unit test updates - new options added to the aperture phot parameter set that allow users to plot the used apertures - ZScaleInterval added from astropy.virtualization to set the color range on the data for aperture photometry plot - +- replaced the sigma to fwhm lambda with the astropy constant for conversion version 0.8.0 (released) ------------------------ diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 92fcd048..83c7adb0 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -201,6 +201,9 @@ def option_descrip(self, key, field=1): """ return self.imexam_option_funcs[key][field] + def set_data(self, data=np.zeros(0)): + """initialize the data that imexamine uses.""" + self._data = data def set_plot_name(self, filename=None): """set the default plot name for the "s" key. @@ -617,10 +620,10 @@ def aper_phot(self, x, y, data=None, fig=None): else: color_range = [self.aper_phot_pars['color_min'][0], self.aper_phot_pars['color_max'][0]] - pad = outer*1.2 # XXX TODO: Bad magic number - ax.imshow(data[int(y-pad):int(y+pad), int(x-pad):int(x+pad)], + pad = outer * 1.2 # XXX TODO: Bad magic number + ax.imshow(data[int(y - pad):int(y + pad), int(x - pad):int(x + pad)], vmin=color_range[0], vmax=color_range[1], - extent=[int(x-pad), int(x+pad), int(y-pad), int(y+pad)], origin='lower', + extent=[int(x - pad), int(x + pad), int(y - pad), int(y + pad)], origin='lower', cmap=self.aper_phot_pars['cmap'][0]) apertures.plot(ax=ax, color='green', alpha=0.75) @@ -681,8 +684,8 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False degree = int(pars["order"][0]) delta = int(pars["rplot"][0]) - if delta >= len(data)/4: # help with small data arrays and defaults - delta = delta/2 + if delta >= len(data) / 4: # help with small data arrays and defaults + delta = delta / 2 delta = int(delta) xx = int(x) @@ -709,13 +712,13 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False # fit model to data if fitform.name is "Gaussian1D": fitted = math_helper.fit_gauss_1d(chunk) - fitted.mean_0.value += (xx-delta) + fitted.mean_0.value += (xx - delta) elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(chunk) - fitted.x_0_0.value += (xx-delta) + fitted.x_0_0.value += (xx - delta) elif fitform.name is "MexicanHat1D": fitted = math_helper.fit_mex_hat_1d(chunk) - fitted.x_0_0.value += (xx-delta) + fitted.x_0_0.value += (xx - delta) elif fitform.name is "Polynomial1D": fitted = math_helper.fit_poly_n(chunk, deg=degree) if fitted is None: @@ -724,8 +727,8 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False fitted = math_helper.fit_airy_2d(chunk) if fitted is None: raise ValueError("Problem with the AiryDisk2D fit") - fitted.x_0_0.value += (xx-delta) - fitted.y_0_0.value += (yy-delta) + fitted.x_0_0.value += (xx - delta) + fitted.y_0_0.value += (yy - delta) else: self.log.info("{0:s} not implemented".format(fitform.name)) return @@ -733,7 +736,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False xline = np.arange(len(chunk)) + xx - delta fline = np.linspace(xline[0], xline[-1], 100) # finer sample if fitform.name is "AiryDisk2D": - yfit = fitted(fline, fline*0+fitted.y_0_0.value) + yfit = fitted(fline, fline * 0 + fitted.y_0_0.value) else: yfit = fitted(fline) @@ -866,8 +869,8 @@ def gauss_center(self, x, y, data=None, delta=10): data = self._data # reset delta for small arrays - if delta >= len(data)/4: - delta = delta/2 + if delta >= len(data) / 4: + delta = delta / 2 delta = int(delta) xx = int(x) @@ -939,7 +942,7 @@ def radial_profile(self, x, y, data=None, form=None, getdata = bool(self.radial_profile_pars["getdata"][0]) # cut the data down to size - datasize = int(self.radial_profile_pars["rplot"][0])-1 + datasize = int(self.radial_profile_pars["rplot"][0]) - 1 delta = 10 # chunk size in pixels to find center # center on image using a 2d gaussian @@ -954,14 +957,14 @@ def radial_profile(self, x, y, data=None, form=None, icentery = int(centery) # just grab the data box we want from the image - data_chunk = data[icentery-datasize:icentery+datasize, - icenterx-datasize:icenterx+datasize] + data_chunk = data[icentery - datasize:icentery + datasize, + icenterx - datasize:icenterx + datasize] y, x = np.indices((data_chunk.shape)) # radii of all pixels if self.radial_profile_pars["pixels"][0]: - r = np.sqrt((x - datasize+(centerx-icenterx))**2 + - (y - datasize + (centery-icentery))**2) + r = np.sqrt((x - datasize + (centerx - icenterx))**2 + + (y - datasize + (centery - icentery))**2) indices = np.argsort(r.flat) # sorted indices radius = r.flat[indices] flux = data_chunk.flat[indices] @@ -977,7 +980,8 @@ def radial_profile(self, x, y, data=None, form=None, inner = self.radial_profile_pars["skyrad"][0] width = self.radial_profile_pars["width"][0] annulus_apertures = photutils.CircularAnnulus((centerx, centery), - r_in=inner, r_out=inner+width) + r_in=inner, + r_out=inner + width) bkgflux_table = photutils.aperture_photometry(data, annulus_apertures) @@ -996,7 +1000,7 @@ def radial_profile(self, x, y, data=None, form=None, if getdata: self.log.info("Sky per pixel: {0} using " "(rad={1}->{2})".format(sky_per_pix, - inner, inner+width)) + inner, inner + width)) if getdata: info = "\nat (x,y)={0:f},{1:f}\n".format(centerx, centery) self.log.info(info) @@ -1283,9 +1287,12 @@ def histogram(self, x, y, data=None, genplot=True, fig=None): ax.set_xscale("log") if self.histogram_pars["logy"][0]: ax.set_yscale("log") - n, bins, patches = ax.hist( - flat_data, num_bins, range=[mini, maxi], normed=False, - facecolor='green', alpha=0.5, histtype='bar') + n, bins, patches = ax.hist(flat_data, num_bins, + range=[mini, maxi], + normed=False, + facecolor='green', + alpha=0.5, + histtype='bar') self.log.info("{0} bins " "range:[{1},{2}]".format(num_bins, mini, maxi)) @@ -1500,7 +1507,7 @@ def cutout(self, x, y, data=None, size=None, fig=None): yy = int(y) prefix = "cutout_{0}_{1}_".format(xx, yy) fname = tempfile.mkstemp(prefix=prefix, suffix=".fits", dir="./")[-1] - cutout = data[yy-size:yy+size, xx-size:xx+size] + cutout = data[yy - size:yy + size, xx - size:xx + size] hdu = fits.PrimaryHDU(cutout) hdulist = fits.HDUList([hdu]) hdulist[0].header['EXTEND'] = False diff --git a/imexam/math_helper.py b/imexam/math_helper.py index 265d24c2..7b34a6ed 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -7,24 +7,7 @@ import numpy as np import warnings from astropy.modeling import models, fitting - - -def convert_sigma_to_fwhm(sigma): - """Compute the gaussian fwhm using known standard deviation. - - Parameters - ---------- - sigma: float - The input value to use - - Notes - ----- - This conversion is valid for a normal distribution where - the mean and mode are effectively the same and sigma !=0 - - """ - - return sigma * np.sqrt(8.0 * np.log(2.)) +from astropy.stats import gaussian_sigma_to_fwhm def gfwhm(sigmax, sigmay=None): @@ -48,10 +31,13 @@ def gfwhm(sigmax, sigmay=None): print("Need at least one sigma value for Gaussian FWHM") return (None, None) + fwhmx = gaussian_sigma_to_fwhm * sigmax if sigmay is None: - return (convert_sigma_to_fwhm(sigmax), convert_sigma_to_fwhm(sigmax)) # assume circular where sigmax = sigmay + fwhmy = fwhmx else: - return (convert_sigma_to_fwhm(sigmax), convert_sigma_to_fwhm(sigmay)) + fwhmy = gaussian_sigma_to_fwhm * sigmay + + return (fwhmx, fwhmy) def mfwhm(alpha=0, gamma=0): @@ -164,7 +150,7 @@ def fit_mex_hat_1d(data): # Mexican Hat 1D + constant model = (models.MexicanHat1D(amplitude=np.max(data), x_0=ldata / 2, sigma=2., fixed=fixed_pars) - + models.Polynomial1D(c0=data.min(), degree=0)) + + models.Polynomial1D(c0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') @@ -191,7 +177,7 @@ def fit_airy_2d(data, x=None, y=None): # AiryDisk2D(amplitude, x_0, y_0, radius) + constant model = (models.AiryDisk2D(np.max(data), x_0=x, y_0=y, radius=delta, - fixed=fixed_pars) + fixed=fixed_pars) + models.Polynomial2D(c0_0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model warnings for new_plot_window diff --git a/imexam/tests/test_imexamine.py b/imexam/tests/test_imexamine.py index 416b11ba..d1c64f85 100644 --- a/imexam/tests/test_imexamine.py +++ b/imexam/tests/test_imexamine.py @@ -55,10 +55,9 @@ def test_line_plot(): @pytest.mark.skipif('not HAS_PHOTUTILS') def test_aper_phot(capsys): """Check that apertures are as expected from photutils""" - radius = 10 + radius = 5 apertures = photutils.CircularAperture((50, 50), radius) aperture_area = apertures.area() - # dq fuq does this number come from? assert_equal(aperture_area, np.pi * radius**2) rawflux_table = photutils.aperture_photometry( test_data, @@ -66,7 +65,8 @@ def test_aper_phot(capsys): subpixels=1, method="center") total_flux = float(rawflux_table['aperture_sum'][0]) - assert_equal(total_flux, test_data.sum()) + # Verify the expected circular area sum + assert_equal(total_flux, 207.0) def test_line_fit(): @@ -76,10 +76,12 @@ def test_line_fit(): in_mean = 50. in_stddev = 2. in_const = 20. + # Set all the lines to be Gaussians line_gauss = in_const + in_amp * np.exp(-0.5 * ((xx - in_mean) / in_stddev)**2) plots.set_data(line_gauss) fit = plots.line_fit(50, 50, form='Gaussian1D', genplot=False) + assert_allclose(in_amp, fit.amplitude_0, 1e-6) assert_allclose(in_mean, fit.mean_0, 1e-6) assert_allclose(in_stddev, fit.stddev_0, 1e-6) @@ -97,6 +99,7 @@ def test_column_fit(): col_gauss = in_const + in_amp * np.exp(-0.5 * ((yy - in_mean) / in_stddev)**2) plots.set_data(col_gauss) fit = plots.column_fit(50, 50, form='Gaussian1D', genplot=False) + assert_allclose(in_amp, fit.amplitude_0, 1e-6) assert_allclose(in_mean, fit.mean_0, 1e-6) assert_allclose(in_stddev, fit.stddev_0, 1e-6) @@ -105,27 +108,25 @@ def test_column_fit(): def test_gauss_center(): """Check the gaussian center fitting.""" - # make a 2d dataset with a gaussian at the center - in_amp = 12. - in_xc = 50. - in_yc = 50. - in_xsig = 3. - in_ysig = 2. - in_back = 20. - - xx, yy = np.meshgrid(np.arange(100), np.arange(100)) - image = (in_back + in_amp * np.exp(-.5 * ((xx - in_xc) / in_xsig)**2) - * np.exp(-.5 * ((yy - in_yc) / in_ysig)**2)) + + from astropy.convolution import Gaussian2DKernel + + # This creates a 2D normalized gaussian kernal with + # a set amplitude. Guess off-center + amp = 0.0015915494309189533 + size = 81.0 + sigma = 10.0 + + gaussian_2D_kernel = Gaussian2DKernel(sigma, x_size=size, y_size=size) plots = Imexamine() - plots.set_data(image) - # Intentionally guess off-center - a, xx, yy, xs, ys = plots.gauss_center(48, 52) + plots.set_data(gaussian_2D_kernel.array) + a, xx, yy, xs, ys = plots.gauss_center(37, 37) - assert_allclose(in_amp, a, 1e-6) - assert_allclose(in_xc, xx, 1e-4) - assert_allclose(in_yc, yy, 1e-4) - assert_allclose(in_xsig, xs, 0.01) - assert_allclose(in_ysig, ys, 0.01) + assert_allclose(amp, a, 1e-6) + assert_allclose(size // 2, xx, 1e-6) + assert_allclose(size // 2, yy, 1e-6) + assert_allclose(sigma, xs, 0.01) + assert_allclose(sigma, ys, 0.01) def test_radial_profile(): @@ -148,7 +149,7 @@ def test_radial_profile(): # check the binned results plots.radial_profile_pars['pixels'][0] = False plots.radial_profile_pars['background'][0] = False - rad_out, flux_out = plots.radial_profile(12, 12, genplot=False) + rad_out, flux_out = plots.radial_profile(x0, y0, genplot=False) good = np.where(rad_in <= np.max(rad_out)) rad_in = rad_in[good] @@ -181,7 +182,7 @@ def test_radial_profile_background(): # check the binned results plots.radial_profile_pars['pixels'][0] = False plots.radial_profile_pars['background'][0] = True - rad_out, flux_out = plots.radial_profile(12, 12, genplot=False) + rad_out, flux_out = plots.radial_profile(x0, y0, genplot=False) good = np.where(rad_in <= np.max(rad_out)) rad_in = rad_in[good] @@ -222,7 +223,7 @@ def test_radial_profile_pixels(): plots.set_data(data.array) # check the unbinned results plots.radial_profile_pars['pixels'][0] = True - out_radius, out_flux = plots.radial_profile(12, 12, genplot=False) + out_radius, out_flux = plots.radial_profile(x0, y0, genplot=False) good = np.where(rad_in <= np.max(out_radius)) rad_in = rad_in[good] flux_in = flux_in[good] From 3e5dc4170494dad86cc6d380e409e2014a641fe6 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Thu, 8 Feb 2018 14:32:06 -0500 Subject: [PATCH 19/44] fixed centering bug from column and linefit combination --- imexam/imexam_defpars.py | 2 +- imexam/imexamine.py | 14 +++++++++----- 2 files changed, 10 insertions(+), 6 deletions(-) diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index 60f74e22..4d19bf2c 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -110,7 +110,7 @@ "background": [False, "Solve for background? [bool]"], "width": [10.0, "Background width in pixels"], "order": [1, "Polynomial order to fit, 1=line"], - "rplot": [20., "Plotting radius in pixels"], + "rplot": [15., "Plotting radius in pixels"], "pointmode": [True, "plot points instead of lines? [bool]"], "logx": [False, "log scale x-axis?"], "logy": [False, "log scale y-axis?"], diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 83c7adb0..d0822e92 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -690,6 +690,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False xx = int(x) yy = int(y) + # fit the center with a 2d gaussian if pars["center"][0]: if fitform.name is not "Polynomial1D": @@ -705,20 +706,22 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False if col: line = data[:, xx] chunk = line[yy - delta:yy + delta] + delta_add = yy - delta else: line = data[yy, :] chunk = line[xx - delta: xx + delta] + delta_add = xx - delta # fit model to data if fitform.name is "Gaussian1D": fitted = math_helper.fit_gauss_1d(chunk) - fitted.mean_0.value += (xx - delta) + fitted.mean_0.value += delta_add elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(chunk) - fitted.x_0_0.value += (xx - delta) + fitted.x_0_0.value += delta_add elif fitform.name is "MexicanHat1D": fitted = math_helper.fit_mex_hat_1d(chunk) - fitted.x_0_0.value += (xx - delta) + fitted.x_0_0.value += delta_add elif fitform.name is "Polynomial1D": fitted = math_helper.fit_poly_n(chunk, deg=degree) if fitted is None: @@ -733,8 +736,9 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False self.log.info("{0:s} not implemented".format(fitform.name)) return - xline = np.arange(len(chunk)) + xx - delta + xline = np.arange(len(chunk)) + delta_add fline = np.linspace(xline[0], xline[-1], 100) # finer sample + if fitform.name is "AiryDisk2D": yfit = fitted(fline, fline * 0 + fitted.y_0_0.value) else: @@ -802,7 +806,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False int(x), int(y), fitted.amplitude_0.value, fitted.radius_0.value) self.log.info(pstr) else: - warnings.warn("Unsupported functional form used in line_fit") + warnings.warn("Unsupported functional form specified for fit") raise ValueError ax.plot(fline, yfit, c='r', label=str(fitform.__name__) + " fit") ax.legend() From 21d9ea92caccf04f7fac54ada09e0f0ca326d7b9 Mon Sep 17 00:00:00 2001 From: Peter Yoachim Date: Wed, 17 Jan 2018 16:09:00 -0800 Subject: [PATCH 20/44] update docs for new apphot window --- docs/_static/ap_phot_plot.png | Bin 0 -> 110236 bytes docs/imexam/imexam_command.rst | 53 ++++++++++++++++++++++----------- imexam/imexam_defpars.py | 2 +- imexam/imexamine.py | 4 +-- 4 files changed, 39 insertions(+), 20 deletions(-) create mode 100644 docs/_static/ap_phot_plot.png diff --git a/docs/_static/ap_phot_plot.png b/docs/_static/ap_phot_plot.png new file mode 100644 index 0000000000000000000000000000000000000000..eedf39de417a954a9d9ceeb95a3f75eec235dd20 GIT binary patch literal 110236 zcmeFZ1yfw#vi}VPcMBTa1{gd*g3I7KA%VdO?t}z)f_rca9^5Us1b26b;LhOwAI`0N z&-tC_Ej&{-HC5Zz-n~|@-K)Q!o)A@K87y=%bT~LTEIC=w2RJx{QAUwcS^>FQ1J}#EtC?O+Ls-aJ_&34h{|wZDe5ZK^6$;`;2d3&^OG= 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z$V_oN^&+(p`&#azH1W#9SdBQ;iIx2FR~%?KyK}XzbEv6aSu{VjRh#KG$bmcZx>A_1 zaR7Q8p9Hu{xMz6Jug@h!Y0>zzYQO2&4;OdHTNIDznznL7XtO@Kb}t&2;jI<4d@e8% zHmTE}VUL<9SfK7?RcjyXsvS*GAjmdNWOKNMiGofKt19>VxcGJSe4o9|2Uuil6TD|BYt@Dr!BDDF65G{_p8hR>l7o1BIDZ e{eQ6-4#@o8<(&Cp)pb However, you can access the same dictionary and customize the plotting parameters using ``set_plot_pars``. In the following example, I'm setting three of the parameters for the contour map, whose imexam key is "e":: #customize the plotting parameters (or any function in the imexam loop) - a.set_plot_pars('e','title','This is my favorite galaxy') - a.set_plot_pars('e','ncontours',4) - a.set_plot_pars('e','cmap','YlOrRd') #see http://matplotlib.org/users/colormaps.html + viewer.set_plot_pars('e','title','This is my favorite galaxy') + viewer.set_plot_pars('e','ncontours',4) + viewer.set_plot_pars('e','cmap','YlOrRd') #see http://matplotlib.org/users/colormaps.html where the full dictionary of available values can be found using the ``eimexam()`` function described above.:: - In [1]: a.eimexam() + In [1]: viewer.eimexam() Out[2]: {'ceiling': [None, 'Maximum value to be contoured'], 'cmap': ['RdBu', 'Colormap (matplotlib style) for image'], @@ -133,25 +133,37 @@ These are the default parameters for aperture photometry. They live in a diction The direct access: - viewer.exam.aperphot_pars= {"function":["aperphot",], - "center":[True,"Center the object location using a Gaussian2D fit"], - "width":[5,"Width of sky annulus in pixels"], - "subsky":[True,"Subtract a sky background?"], - "skyrad":[15,"Distance to start sky annulus is pixels"], - "radius":[5,"Radius of aperture for star flux"], - "zmag":[25.,"zeropoint for the magnitude calculation"], + viewer.exam.aper_phot_pars= {'function':["aperphot",], + 'center':[True,"Center the object location using a Gaussian2D fit"], + 'width':[5,"Width of sky annulus in pixels"], + 'subsky':[True,"Subtract a sky background?"], + 'skyrad':[15,"Distance to start sky annulus is pixels"], + 'radius':[5,"Radius of aperture for star flux"], + 'zmag':[25.,"zeropoint for the magnitude calculation"], + 'genplot': [True, 'Plot the apertures'], + 'title': [None, 'Title of the plot'], + 'scale': ['zscale', 'How to scale the image'], + 'color_min': [None, 'Minimum color value'], + 'color_max': [None, 'Maximum color value'], + 'cmap': ['Greys', 'Matplotlib colormap to use'] } Using the convenience function: - In [1]: a.aimexam() + In [1]: viewer.aimexam() Out[2]: {'center': [True, 'Center the object location using a 2d gaussian fit'], - 'function': ['aper_phot'], + 'function': ['aper_phot'], 'radius': [5, 'Radius of aperture for star flux'], 'skyrad': [15, 'Distance to start sky annulus is pixels'], 'subsky': [True, 'Subtract a sky background?'], 'width': [5, 'Width of sky annulus in pixels'], - 'zmag': [25.0, 'zeropoint for the magnitude calculation']} + 'zmag': [25.0, 'zeropoint for the magnitude calculation'], + 'genplot': [True, 'Plot the apertures'], + 'title': [None, 'Title of the plot'], + 'scale': ['zscale', 'How to scale the image'], + 'color_min': [None, 'Minimum color value'], + 'color_max': [None, 'Maximum color value'], + 'cmap': ['Greys', 'Matplotlib colormap to use']} In order to change the width of the photometry aperture around the object you would do this::: @@ -161,12 +173,19 @@ This is what the return looks like when you do photometry, where I've asked for viewer.imexam() - xc=576.855763 yc=634.911425 - x y radius flux mag(zpt=25.00) sky fwhm - 576.86 634.91 10 2191284.53 9.15 10998.89 5.58 + xc=574.988523 yc=632.680333 + x y radius flux mag(zpt=25.00) sky/pix fwhm(pix) + 574.99 632.68 10 2178054.09 9.15 11005.40 5.72 xc = xcenter, yc=ycenter; these were found using a Gaussian2D fit centered on the pixel location of the mouse. You can turn the fit off by setting the "center" parameter to "False". +This is the resulting plot: + +.. image:: ../_static/ap_phot_plot.png + :height: 400 + :width: 400 + :alt: Plot of aperture photometry apertures + Gaussian1D, Moffat1D, MexicanHat1D profiles ------------------------------------------- diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index 4d19bf2c..43543e5f 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -21,7 +21,7 @@ "scale": ['zscale', "How to scale the image"], "color_min": [None, "Minimum color value"], "color_max": [None, "Maximum color value"], - "cmap": ['Greys', "Matplotloib colormap to use"], + "cmap": ['Greys', "Matplotlib colormap to use"], } diff --git a/imexam/imexamine.py b/imexam/imexamine.py index d0822e92..ad57bc11 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -626,9 +626,9 @@ def aper_phot(self, x, y, data=None, fig=None): extent=[int(x - pad), int(x + pad), int(y - pad), int(y + pad)], origin='lower', cmap=self.aper_phot_pars['cmap'][0]) - apertures.plot(ax=ax, color='green', alpha=0.75) + apertures.plot(ax=ax, color='green', alpha=0.75, lw=3) if subsky: - annulus_apertures.plot(ax=ax, color='red', alpha=0.75) + annulus_apertures.plot(ax=ax, color='red', alpha=0.75, lw=3) if pfig is None and 'nbagg' not in get_backend().lower(): plt.draw() From 8fe8a147b4b36bc1bb0ef4fd37f8bcd9fc33dba3 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 14 Feb 2018 10:51:12 -0500 Subject: [PATCH 21/44] updating astropy helpers to v2.0.4 --- astropy_helpers | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/astropy_helpers b/astropy_helpers index d23a53f4..41a60723 160000 --- a/astropy_helpers +++ b/astropy_helpers @@ -1 +1 @@ -Subproject commit d23a53f46dd1c3703e5eee63dca3f53bd18a4e8b +Subproject commit 41a607235bdc335c9c125f828bdd35502a09aff9 From bb6f1a1a5145e8bf1424477eafa4d37f34dd653c Mon Sep 17 00:00:00 2001 From: Brigitta Sipocz Date: Sun, 25 Feb 2018 01:31:28 +0000 Subject: [PATCH 22/44] Updated astropy-helpers to v2.0.6 --- ah_bootstrap.py | 68 +++++++++++++++++++++++++++++++++++++++---------- astropy_helpers | 2 +- 2 files changed, 56 insertions(+), 14 deletions(-) diff --git a/ah_bootstrap.py b/ah_bootstrap.py index 786b8b14..e55254ee 100644 --- a/ah_bootstrap.py +++ b/ah_bootstrap.py @@ -19,9 +19,14 @@ contains an option called ``auto_use`` with a value of ``True``, it will automatically call the main function of this module called `use_astropy_helpers` (see that function's docstring for full details). -Otherwise no further action is taken (however, -``ah_bootstrap.use_astropy_helpers`` may be called manually from within the -setup.py script). +Otherwise no further action is taken and by default the system-installed version +of astropy-helpers will be used (however, ``ah_bootstrap.use_astropy_helpers`` +may be called manually from within the setup.py script). + +This behavior can also be controlled using the ``--auto-use`` and +``--no-auto-use`` command-line flags. For clarity, an alias for +``--no-auto-use`` is ``--use-system-astropy-helpers``, and we recommend using +the latter if needed. Additional options in the ``[ah_boostrap]`` section of setup.cfg have the same names as the arguments to `use_astropy_helpers`, and can be used to configure @@ -137,7 +142,6 @@ from setuptools import Distribution from setuptools.package_index import PackageIndex -from setuptools.sandbox import run_setup from distutils import log from distutils.debug import DEBUG @@ -147,6 +151,11 @@ DIST_NAME = 'astropy-helpers' PACKAGE_NAME = 'astropy_helpers' +if PY3: + UPPER_VERSION_EXCLUSIVE = None +else: + UPPER_VERSION_EXCLUSIVE = '3' + # Defaults for other options DOWNLOAD_IF_NEEDED = True INDEX_URL = 'https://pypi.python.org/simple' @@ -287,6 +296,18 @@ def parse_command_line(cls, argv=None): config['offline'] = True argv.remove('--offline') + if '--auto-use' in argv: + config['auto_use'] = True + argv.remove('--auto-use') + + if '--no-auto-use' in argv: + config['auto_use'] = False + argv.remove('--no-auto-use') + + if '--use-system-astropy-helpers' in argv: + config['auto_use'] = False + argv.remove('--use-system-astropy-helpers') + return config def run(self): @@ -464,9 +485,10 @@ def _directory_import(self): # setup.py exists we can generate it setup_py = os.path.join(path, 'setup.py') if os.path.isfile(setup_py): - with _silence(): - run_setup(os.path.join(path, 'setup.py'), - ['egg_info']) + # We use subprocess instead of run_setup from setuptools to + # avoid segmentation faults - see the following for more details: + # https://github.com/cython/cython/issues/2104 + sp.check_output([sys.executable, 'setup.py', 'egg_info'], cwd=path) for dist in pkg_resources.find_distributions(path, True): # There should be only one... @@ -501,16 +523,32 @@ def get_option_dict(self, command_name): if version: req = '{0}=={1}'.format(DIST_NAME, version) else: - req = DIST_NAME + if UPPER_VERSION_EXCLUSIVE is None: + req = DIST_NAME + else: + req = '{0}<{1}'.format(DIST_NAME, UPPER_VERSION_EXCLUSIVE) attrs = {'setup_requires': [req]} + # NOTE: we need to parse the config file (e.g. setup.cfg) to make sure + # it honours the options set in the [easy_install] section, and we need + # to explicitly fetch the requirement eggs as setup_requires does not + # get honored in recent versions of setuptools: + # https://github.com/pypa/setuptools/issues/1273 + try: - if DEBUG: - _Distribution(attrs=attrs) - else: - with _silence(): - _Distribution(attrs=attrs) + + context = _verbose if DEBUG else _silence + with context(): + dist = _Distribution(attrs=attrs) + try: + dist.parse_config_files(ignore_option_errors=True) + dist.fetch_build_eggs(req) + except TypeError: + # On older versions of setuptools, ignore_option_errors + # doesn't exist, and the above two lines are not needed + # so we can just continue + pass # If the setup_requires succeeded it will have added the new dist to # the main working_set @@ -846,6 +884,10 @@ def flush(self): pass +@contextlib.contextmanager +def _verbose(): + yield + @contextlib.contextmanager def _silence(): """A context manager that silences sys.stdout and sys.stderr.""" diff --git a/astropy_helpers b/astropy_helpers index 41a60723..5e30a46d 160000 --- a/astropy_helpers +++ b/astropy_helpers @@ -1 +1 @@ -Subproject commit 41a607235bdc335c9c125f828bdd35502a09aff9 +Subproject commit 5e30a46dd0146a241f5c7ca8de0cc0144455b2e1 From 2eca6e288adc61d9e80727f9f5319c77bdc44805 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 4 Apr 2018 00:03:25 -0400 Subject: [PATCH 23/44] added FITS file testing and check for drizzle style image --- imexam/__init__.py | 4 +- imexam/ds9_viewer.py | 23 +++-- imexam/ginga_viewer.py | 11 +- imexam/tests/test_util.py | 212 ++++++++++++++++++++++++++++++++++++++ imexam/util.py | 150 ++++++++++++++++++--------- 5 files changed, 336 insertions(+), 64 deletions(-) create mode 100644 imexam/tests/test_util.py diff --git a/imexam/__init__.py b/imexam/__init__.py index b29efd97..2e837325 100644 --- a/imexam/__init__.py +++ b/imexam/__init__.py @@ -19,8 +19,8 @@ if not _ASTROPY_SETUP_: # import high level functions into the imexam namespace if _have_xpa: - from .util import list_active_ds9, find_xpans - from .util import display_help, display_xpa_help, find_ds9 + from .util import list_active_ds9, find_path + from .util import display_help, display_xpa_help from .util import set_logging from . import connect as _connect diff --git a/imexam/ds9_viewer.py b/imexam/ds9_viewer.py index 8ac1c7c2..ccdf1edb 100644 --- a/imexam/ds9_viewer.py +++ b/imexam/ds9_viewer.py @@ -225,7 +225,7 @@ def __init__(self, target='', path='', wait_time=5, else: if not path: - self._ds9_path = util.find_ds9() + self._ds9_path = util.find_path('ds9') if not self._ds9_path: raise OSError("Could not find ds9 executable on your path") @@ -357,7 +357,7 @@ def _set_frameinfo(self): header_cards = fits.Header.fromstring( self.get_header(), sep='\n') - mef_file = util.check_filetype(filename) + mef_file, nextend, first_image = util.check_valid(filename) if mef_file: try: extver = int(header_cards['EXTVER']) @@ -1172,13 +1172,18 @@ def load_fits(self, fname=None, extver=None, mecube=False): if extver is None: extver = extv - # safety for simple vs mef fits - if (extv is None and extver is None): - mef = util.check_filetype(shortname) - if mef: - extver = 1 # MEF fits - else: - extver = 0 # simple fits + # safety for a valid imexam file + if ((extv is None) and (extver is None)): + mef_file, nextend, first_image = util.check_valid(shortname) + extver = first_image # really the extension of the first IMAGE + extname = None + # if mef_file: + # # get the number of extensions in the file + # # nextend = fits.getval(shortname, 'XTENSION') + # extver = first_image + # else: + # print("No image extension found, setting to zero") + # extver = 0 # simple fits if mecube: cstring = "mecube {0:s}".format(shortname) diff --git a/imexam/ginga_viewer.py b/imexam/ginga_viewer.py index cc153490..72a283b6 100644 --- a/imexam/ginga_viewer.py +++ b/imexam/ginga_viewer.py @@ -596,11 +596,12 @@ def load_fits(self, fname="", extver=None): extver = extv if (extv is None and extver is None): - mef = util.check_filetype(shortname) - if mef: - extver = 1 # MEF fits - else: - extver = 0 # simple fits + mef_file, nextend, first_image = util.check_valid(shortname) + # if mef_file: + # extver = 1 # MEF fits + # else: + # extver = 0 # simple fits + extver = first_image # really ext number for first IMAGE with fits.open(shortname) as filedata: hdu = filedata[extver] diff --git a/imexam/tests/test_util.py b/imexam/tests/test_util.py new file mode 100644 index 00000000..1ce914f9 --- /dev/null +++ b/imexam/tests/test_util.py @@ -0,0 +1,212 @@ +"""Licensed under a 3-clause BSD style license - see LICENSE.rst. + +Make sure that the functions in util are behaving as expected +""" +from __future__ import (absolute_import, division, print_function, + unicode_literals) +import pytest +import numpy as np +from numpy.testing import assert_equal +from astropy.io import fits +from imexam import util + +# testing data +test_data_zeros = np.zeros((100, 100), dtype=np.float) + + +def test_invalid_simple_fits(): + """Test for an invalid FITS hdu with no data in + the primary HDU.""" + + simple_fits_hdu = fits.PrimaryHDU() + valid_file, nextend, first_image = util.check_valid(mem_obj=simple_fits_hdu) + assert_equal(valid_file, False) + assert_equal(nextend, 0) + assert_equal(first_image, None) + + +def test_invalid_MEF_table(): + """Test an MEF FITS hdu that only has table data.""" + + # create some binary table data + data = np.arange(0, 1, 0.01) * np.random.rand(100) + col = np.arange(100) + 1 + d1 = fits.Column(name="data", format='d', array=data) + c1 = fits.Column(name="item", format='d', array=col) + cols = fits.ColDefs([c1, d1]) + tbhdu = fits.BinTableHDU.from_columns(cols, name='TAB1') + + mef_fits_hdu = fits.HDUList() + extension = fits.PrimaryHDU() + mef_fits_hdu.append(tbhdu) + + mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + assert_equal(mef_file, True) + assert_equal(nextend, 1) + assert_equal(first_image, None) + +def test_image_and_table_extensions(): + """Validate an MEF with an image in the first and + a table in the second extension.""" + + data = np.arange(0, 1, 0.01) * np.random.rand(100) + col = np.arange(100) + 1 + d1 = fits.Column(name="data", format='d', array=data) + c1 = fits.Column(name="item", format='d', array=col) + cols = fits.ColDefs([c1, d1]) + tbhdu = fits.BinTableHDU.from_columns(cols, name='TAB1') + + mef_fits_hdu = fits.HDUList() + mef_fits_hdu.append(fits.PrimaryHDU()) + extension = fits.PrimaryHDU() + + mef_fits_hdu.append(tbhdu) + mef_fits_hdu.append(fits.ImageHDU(test_data_zeros, + header=extension.header, + name='SCI1')) + + mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + assert_equal(mef_file, True) + assert_equal(nextend, 2) + assert_equal(first_image, 2) + + +def test_drizzled_image(): + """Validate a drizzle style output, with an image in the + primary HDU and a table in the first.""" + + data = np.arange(0, 1, 0.01) * np.random.rand(100) + col = np.arange(100) + 1 + d1 = fits.Column(name="data", format='d', array=data) + c1 = fits.Column(name="item", format='d', array=col) + cols = fits.ColDefs([c1, d1]) + tbhdu = fits.BinTableHDU.from_columns(cols, name='TAB1') + + mef_fits_hdu = fits.HDUList() + extension = fits.PrimaryHDU() + mef_fits_hdu.append(fits.ImageHDU(test_data_zeros, + header=extension.header)) + mef_fits_hdu.data = test_data_zeros + mef_fits_hdu.append(tbhdu) + mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + assert_equal(mef_file, True) + assert_equal(nextend, 1) + assert_equal(first_image, 0) + + +def test_mef_2_image_extensions(): + """Check the file to see if it is a multi-extension FITS file + or a simple fits image where the data and header are stored in + the primary hdr. + + testa valid MEF file with 2 image extensions + and the first image in the first extension + not the primary HDU + """ + + mef_fits_hdu = fits.HDUList() + mef_fits_hdu.append(fits.PrimaryHDU()) + extension = fits.PrimaryHDU() + extension.header['EXTVER'] = 1 + mef_fits_hdu.append(fits.ImageHDU(test_data_zeros, + header=extension.header, + name='SCI1')) + extension.header['EXTVER'] = 2 + mef_fits_hdu.append(fits.ImageHDU(test_data_zeros, + header=extension.header, + name='SCI2')) + + mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + assert_equal(mef_file, True) + assert_equal(nextend, 2) + assert_equal(first_image, 1) + + +def test_simple_image_in_primary(): + """Check the file to see if it is a multi-extension FITS file + or a simple fits image where the data and header are stored in + the primary hdr. + + This will try and find an image data unit in the primary HDU + """ + simple_fits_hdu = fits.PrimaryHDU() + simple_fits_hdu.data = test_data_zeros + + mef_file, nextend, first_image = util.check_valid(mem_obj=simple_fits_hdu) + assert_equal(mef_file, False) + assert_equal(nextend, 0) + assert_equal(first_image, 0) + + +def test_hst_filename(): + """Verify split of a standard hst filename.""" + + hst_name = "hstimagex_cal.fits" + shortname, extname, extver = util.verify_filename(filename=hst_name) + short_compare = shortname.split("/")[-1] + assert_equal(hst_name, short_compare) + assert_equal(extname, None) + assert_equal(extver, None) + + +def test_ext_ver_filename(): + """Verify split of a filname given with ext and ver.""" + + hst_name_ext_ver = "hstimagex_cal.fits[sci,1]" + rootname = "hstimagex_cal.fits" + shortname, extname, extver = util.verify_filename(filename=hst_name_ext_ver) + short_compare = shortname.split("/")[-1] + assert_equal(rootname, short_compare) + assert_equal(extname, "sci") + assert_equal(extver, 1) + + +def test_name_ver_filename(): + """Verify split of a filename given name and ver.""" + + hst_name_ver = "hstimagex_cal.fits[1]" + rootname = "hstimagex_cal.fits" + shortname, extname, extver = util.verify_filename(filename=hst_name_ver) + short_compare = shortname.split("/")[-1] + assert_equal(rootname, short_compare) + assert_equal(extname, None) + assert_equal(extver, 1) + + +def test_extver(): + """Verify that specifying an extver gets recorded correctly. + + extver is the extension number explicitly""" + + hst_name = "hstimagex_cal.fits" + shortname, extname, extver = util.verify_filename(filename=hst_name, + extver=1) + short_compare = shortname.split("/")[-1] + assert_equal(hst_name, short_compare) + assert_equal(extname, None) + assert_equal(extver, 1) + + +def test_extname(): + """Verify that specifying an extname gets recorded correctly.""" + + hst_name = "hstimagex_cal.fits" + shortname, extname, extver = util.verify_filename(filename=hst_name, + extname='sci') + short_compare = shortname.split("/")[-1] + assert_equal(hst_name, short_compare) + assert_equal(extname, 'sci') + assert_equal(extver, None) + + +def test_name_ver(): + """Verify that specifying both name and ver gets recorded correctly.""" + + hst_name = "hstimagex_cal.fits" + shortname, extname, extver = util.verify_filename(filename=hst_name, + extname='sci', + extver=1) + short_compare = shortname.split("/")[-1] + assert_equal(hst_name, short_compare) + assert_equal(extname, 'sci') + assert_equal(extver, 1) diff --git a/imexam/util.py b/imexam/util.py index a2e82c90..437a4455 100644 --- a/imexam/util.py +++ b/imexam/util.py @@ -6,6 +6,7 @@ import sys import logging import warnings +import astropy from astropy.io import fits try: @@ -20,22 +21,14 @@ __all__ = ["display_help", "set_logging"] -def find_ds9(): - """Find the local path to the DS9 executable""" - path = "ds9" - for dirname in os.getenv("PATH").split(":"): - possible = os.path.join(dirname, path) - if os.path.isfile(possible): - return possible - return None +def find_path(target=None): + """Find the local path to the target executable""" + if target is None: + raise TypeError("Expected name of executable") - -def find_xpans(): - """Find the local path to the xpans executable""" - path = "xpans" for dirname in os.getenv("PATH").split(":"): - possible = os.path.join(dirname, path) - if os.path.exists(possible): + possible = os.target.join(dirname, target) + if os.path.isfile(possible): return possible return None @@ -69,7 +62,7 @@ def list_active_ds9(verbose=True): session_dict = {} # only run if XPA/xpans is installed on the machine - if find_xpans(): + if find_path('xpans'): sessions = None try: sessions = xpa.get(b"xpans").decode().strip().split("\n") @@ -185,47 +178,103 @@ def set_logging(filename=None, on=True, level=logging.INFO): # set stream logging level if isinstance(handler, logging.StreamHandler): handler.setLevel(level) - return root -def check_filetype(filename=None): +def check_valid(filename=None, mem_obj=None): """Check the file to see if it is a multi-extension FITS file or a simple fits image where the data and header are stored in - the global unit. + the primary header unit. Parameters ---------- - filename: string - The name of the file to check + filename: None, string + The name of the file to check, if set mem_obj will be ignored + mem_obj: None, FITS object + Set to an in-memory FITS object if passing FITS HDUList; + in this case filename will be ignored + Returns + ------- + mef_file: bool + Returns True if the file is a multi-extension fits file + nextend: int + The number of extension in the file + first_image: int, None + The extension that contains the first image data. + None will be returned when no IMAGE xtension is found + Notes + ----- + Drizzled images put a table in the first extension and an image in + the zero extension, so this function checks for the first occurrance + of 'IMAGE' in 'XTENSION', which is a required keyword. """ log = logging.getLogger(__name__) + mef_file = True # is this an MEF file + found_image = False # Does it contain an IMAGE XTENSION + nextend = 0 # how many extenions does it have + first_image = None # what extension has the first image? if filename is None: - raise ValueError("No filename provided") + if mem_obj is None: + raise ValueError("No filename or FITS object provided") + else: + if isinstance(mem_obj, fits.hdu.hdulist.HDUList): + fits_image = mem_obj + elif isinstance(mem_obj, (astropy.io.fits.hdu.image.PrimaryHDU)): + mef_file = False + if mem_obj.header['NAXIS'] > 0: + first_image = 0 + else: + raise TypeError("Expected FITS instance") else: try: - mef_file = fits.getval(filename, ext=0, keyword='EXTEND') + fits_image = fits.open(filename) + except IOError: + msg = "Error opening file {0:s}".format(repr(filename)) + log.warning(msg) + raise IOError(msg) + try: + # EXTEND is required for MEF FITS files + mef_file = fits_image[0].header['EXTEND'] except KeyError: mef_file = False - except IOError: - log.warning("Problem opening file {0:s}".format(repr(filename))) - raise IOError("Error opening {0:s}".format(filename)) - - # double check for lying liars, should at least have 1 extension - # and XTENSION is a required keyword - if mef_file: + if fits_image[0].header['NAXIS'] > 0: + first_image = 0 + + # double check for lying liars, should at least have 1 extension + # if it's MEF and XTENSION is a required keyword in each extension + # after the primary hdu + if mef_file: + for extn in fits_image: try: - fits.getval(filename, ext=1, keyword='XTENSION') - except (KeyError, IndexError): - mef_file = False - return mef_file + if ((extn.header['XTENSION'] == 'IMAGE') and (not found_image)): + first_image = nextend # The number of the extension + found_image = True + except KeyError: + # There doens't have to be an 'XTENSION' keyword in the global(0) if + # the MEF has data there, so check for naxis if its an image + # and tfields if it's table data + if nextend == 0: + print("Nextend: {}".format(nextend)) + try: + tfields = extn.header['TFIELDS'] # table? + except KeyError: + if extn.header['NAXIS'] > 0: + found_image = True + first_image = nextend + else: + mef_file = False + nextend += 1 + nextend -=1 + if not mem_obj: + fits_image.close() + return (mef_file, nextend, first_image) def verify_filename(filename=None, extver=None, extname=None): - """Verify the filename exist and split it for extension information. + """Verify the filename exists and split it for extension information. If the user has given an extension, extension name or some combination of those, return the full filename, extension and version tuple. @@ -239,23 +288,28 @@ def verify_filename(filename=None, extver=None, extname=None): extname: string the name of the extension + + Returns + ------- + shortname: str + The name of the file with full path + extname: str, None + The extension name, or None + extver: int, None + The extension version number or None """ if filename is None: print("No filename provided") else: - try: - if "[" in filename: - splitstr = filename.split("[") - shortname = splitstr[0] - if "," in splitstr[1]: - extname = splitstr[1].split(",")[0] - extver = int(splitstr[1].split(",")[1][0]) - else: - extver = int(filename.split("[")[1][0]) + if "[" in filename: + splitstr = filename.split("[") + shortname = os.path.abspath(splitstr[0]) + if "," in splitstr[1]: + extname = splitstr[1].split(",")[0] + extver = int(splitstr[1].split(",")[1][0]) else: - shortname = os.path.abspath(filename) - except IndexError as e: - print("Exception: {0}".format(repr(e))) - raise IndexError + extver = int(filename.split("[")[1][0]) + else: + shortname = os.path.abspath(filename) - return shortname, extname, extver + return shortname, extname, extver From b51f9d2fc7c16175b7f306f0ee7a2dad6db01a07 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 4 Apr 2018 00:21:34 -0400 Subject: [PATCH 24/44] fix introduced path bug --- imexam/util.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/imexam/util.py b/imexam/util.py index 437a4455..30c58c43 100644 --- a/imexam/util.py +++ b/imexam/util.py @@ -27,7 +27,7 @@ def find_path(target=None): raise TypeError("Expected name of executable") for dirname in os.getenv("PATH").split(":"): - possible = os.target.join(dirname, target) + possible = os.path.join(dirname, target) if os.path.isfile(possible): return possible return None @@ -257,7 +257,6 @@ def check_valid(filename=None, mem_obj=None): # the MEF has data there, so check for naxis if its an image # and tfields if it's table data if nextend == 0: - print("Nextend: {}".format(nextend)) try: tfields = extn.header['TFIELDS'] # table? except KeyError: From a8ffa65343debe571bd09f914f8357001a3d4487 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Thu, 5 Apr 2018 10:53:30 -0400 Subject: [PATCH 25/44] logic updates to allow fits files or in-mem objects --- imexam/connect.py | 2 +- imexam/ds9_viewer.py | 80 +++++++++++++++++++-------------------- imexam/tests/test_util.py | 12 +++--- imexam/util.py | 43 ++++++++++----------- 4 files changed, 65 insertions(+), 72 deletions(-) diff --git a/imexam/connect.py b/imexam/connect.py index d7e17092..59bf2056 100644 --- a/imexam/connect.py +++ b/imexam/connect.py @@ -346,7 +346,7 @@ def embed(self, **kwargs): return self.window.embed(**kwargs) def frame(self, *args, **kwargs): - """Move to a different frame.""" + """Move to a different frame, or add a new one""" return self.window.frame(*args, **kwargs) def get_data(self): diff --git a/imexam/ds9_viewer.py b/imexam/ds9_viewer.py index ccdf1edb..6df95a02 100644 --- a/imexam/ds9_viewer.py +++ b/imexam/ds9_viewer.py @@ -326,7 +326,6 @@ def _set_frameinfo(self): load_header = True else: filename_string = "" - except XpaException: filename_string = "" @@ -343,9 +342,7 @@ def _set_frameinfo(self): naxis.append("0") naxis.reverse() # for astropy.fits row-major ordering naxis = map(int, naxis) - naxis = [ - axis - - 1 if axis > 0 else 0 for axis in naxis] + naxis = [axis - 1 if axis > 0 else 0 for axis in naxis] naxis = tuple(naxis) except ValueError: raise ValueError("Problem parsing filename") @@ -364,7 +361,7 @@ def _set_frameinfo(self): except KeyError: # fits doesn't require extver if there is only 1 # extension - extver = 1 + extver = first_image try: extname = str(header_cards['EXTNAME']) @@ -409,10 +406,8 @@ def valid_data_in_viewer(self): if frame: self._set_frameinfo() - if self._viewer[frame]['filename']: return True - else: try: if self._viewer[frame]['user_array'].any(): @@ -1058,7 +1053,7 @@ def get_data(self): if self._viewer[frame]['iscube']: data = filedata[extname, extver].section[naxis] else: - data = filedata[extname, extver].data + data = filedata[extver].data return data else: with fits.open(filename) as filedata: @@ -1125,15 +1120,16 @@ def embed(self): """Embed the viewer in a notebook.""" print("Not Implemented for DS9") - def load_fits(self, fname=None, extver=None, mecube=False): + def load_fits(self, fname, extver=None, mecube=False): """convenience function to load fits image to current frame. Parameters ---------- - fname: string, optional + fname: string, FITS object The name of the file to be loaded. You can specify the full extension in the name, such as filename_flt.fits or filename_flt.fits[1] + You can also pass it an in-memory FITS object extver: int, optional The extension to load (EXTVER in the header) @@ -1156,44 +1152,46 @@ def load_fits(self, fname=None, extver=None, mecube=False): DS9 window was started in another directory it can still find the file to load. """ - if fname is None: - raise ValueError("No filename provided") - - frame = self.frame() # for the viewer reference + # for the viewer reference + frame = self.frame() if frame is None: frame = 1 # load into first frame - shortname, extn, extv = util.verify_filename(fname) - - if extn is not None: - raise ValueError("Extension name given, must " - "specify the absolute extension you want") - # prefer the keyword value over the extension in the name - if extver is None: - extver = extv + if isinstance(fname, fits.hdu.image.PrimaryHDU): + shortname = fname + extn = None + extv = 0 + if isinstance(fname, fits.hdu.hdulist.HDUList): + shortname = fname + extn = None + extv = extver + elif isinstance(fname, str): + shortname, extn, extv = util.verify_filename(fname) + if extn is not None: + raise ValueError("Extension name given, must " + "specify the absolute extension you want") + # prefer the keyword value over the extension in the name + if extver is None: + extver = extv + else: + raise TypeError("Expected FITS data as input") - # safety for a valid imexam file + # safety for a valid imexam file if ((extv is None) and (extver is None)): mef_file, nextend, first_image = util.check_valid(shortname) - extver = first_image # really the extension of the first IMAGE - extname = None - # if mef_file: - # # get the number of extensions in the file - # # nextend = fits.getval(shortname, 'XTENSION') - # extver = first_image - # else: - # print("No image extension found, setting to zero") - # extver = 0 # simple fits - - if mecube: - cstring = "mecube {0:s}".format(shortname) - else: - cstring = ('fits {0:s}[{1:d}]'.format(shortname, extver)) + extver = first_image # the extension of the first IMAGE - self.set(cstring) - self._set_frameinfo() - # make sure any previous reference is reset - self._viewer[frame]['user_array'] = None + if isinstance(fname, str): + if mecube: + cstring = "mecube {0:s}".format(shortname) + else: + cstring = ('fits {0:s}[{1:d}]'.format(shortname, extver)) + self.set(cstring) + # make sure any previous reference is reset + self._set_frameinfo() + self._viewer[frame]['user_array'] = None + else: + self.view(fname[extver].data) def load_region(self, filename): """Load regions from a file which uses ds9 standard formatting. diff --git a/imexam/tests/test_util.py b/imexam/tests/test_util.py index 1ce914f9..c62ecbad 100644 --- a/imexam/tests/test_util.py +++ b/imexam/tests/test_util.py @@ -19,7 +19,7 @@ def test_invalid_simple_fits(): the primary HDU.""" simple_fits_hdu = fits.PrimaryHDU() - valid_file, nextend, first_image = util.check_valid(mem_obj=simple_fits_hdu) + valid_file, nextend, first_image = util.check_valid(simple_fits_hdu) assert_equal(valid_file, False) assert_equal(nextend, 0) assert_equal(first_image, None) @@ -40,7 +40,7 @@ def test_invalid_MEF_table(): extension = fits.PrimaryHDU() mef_fits_hdu.append(tbhdu) - mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + mef_file, nextend, first_image = util.check_valid(mef_fits_hdu) assert_equal(mef_file, True) assert_equal(nextend, 1) assert_equal(first_image, None) @@ -65,7 +65,7 @@ def test_image_and_table_extensions(): header=extension.header, name='SCI1')) - mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + mef_file, nextend, first_image = util.check_valid(mef_fits_hdu) assert_equal(mef_file, True) assert_equal(nextend, 2) assert_equal(first_image, 2) @@ -88,7 +88,7 @@ def test_drizzled_image(): header=extension.header)) mef_fits_hdu.data = test_data_zeros mef_fits_hdu.append(tbhdu) - mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + mef_file, nextend, first_image = util.check_valid(mef_fits_hdu) assert_equal(mef_file, True) assert_equal(nextend, 1) assert_equal(first_image, 0) @@ -116,7 +116,7 @@ def test_mef_2_image_extensions(): header=extension.header, name='SCI2')) - mef_file, nextend, first_image = util.check_valid(mem_obj=mef_fits_hdu) + mef_file, nextend, first_image = util.check_valid(mef_fits_hdu) assert_equal(mef_file, True) assert_equal(nextend, 2) assert_equal(first_image, 1) @@ -132,7 +132,7 @@ def test_simple_image_in_primary(): simple_fits_hdu = fits.PrimaryHDU() simple_fits_hdu.data = test_data_zeros - mef_file, nextend, first_image = util.check_valid(mem_obj=simple_fits_hdu) + mef_file, nextend, first_image = util.check_valid(simple_fits_hdu) assert_equal(mef_file, False) assert_equal(nextend, 0) assert_equal(first_image, 0) diff --git a/imexam/util.py b/imexam/util.py index 30c58c43..b6209202 100644 --- a/imexam/util.py +++ b/imexam/util.py @@ -6,7 +6,6 @@ import sys import logging import warnings -import astropy from astropy.io import fits try: @@ -181,18 +180,16 @@ def set_logging(filename=None, on=True, level=logging.INFO): return root -def check_valid(filename=None, mem_obj=None): +def check_valid(fits_data=None): """Check the file to see if it is a multi-extension FITS file or a simple fits image where the data and header are stored in the primary header unit. Parameters ---------- - filename: None, string - The name of the file to check, if set mem_obj will be ignored - mem_obj: None, FITS object + fits_data: None, FITS object Set to an in-memory FITS object if passing FITS HDUList; - in this case filename will be ignored + Otherwise set to the name of the file to check Returns ------- @@ -211,35 +208,33 @@ def check_valid(filename=None, mem_obj=None): of 'IMAGE' in 'XTENSION', which is a required keyword. """ log = logging.getLogger(__name__) - mef_file = True # is this an MEF file found_image = False # Does it contain an IMAGE XTENSION nextend = 0 # how many extenions does it have first_image = None # what extension has the first image? + fits_file = False + mef_file = False - if filename is None: - if mem_obj is None: + if fits_data is None: raise ValueError("No filename or FITS object provided") - else: - if isinstance(mem_obj, fits.hdu.hdulist.HDUList): - fits_image = mem_obj - elif isinstance(mem_obj, (astropy.io.fits.hdu.image.PrimaryHDU)): - mef_file = False - if mem_obj.header['NAXIS'] > 0: - first_image = 0 - else: - raise TypeError("Expected FITS instance") - else: + if isinstance(fits_data, fits.hdu.hdulist.HDUList): + mef_file = True + fits_image = fits_data + elif isinstance(fits_data, fits.hdu.image.PrimaryHDU): + if fits_data.header['NAXIS'] > 0: + first_image = 0 + fits_image = fits_data + elif isinstance(fits_data, str): + fits_file = True try: - fits_image = fits.open(filename) + fits_image = fits.open(fits_data) except IOError: - msg = "Error opening file {0:s}".format(repr(filename)) + msg = "Error opening file {0:s}".format(repr(fits_data)) log.warning(msg) raise IOError(msg) try: # EXTEND is required for MEF FITS files mef_file = fits_image[0].header['EXTEND'] except KeyError: - mef_file = False if fits_image[0].header['NAXIS'] > 0: first_image = 0 @@ -266,8 +261,8 @@ def check_valid(filename=None, mem_obj=None): else: mef_file = False nextend += 1 - nextend -=1 - if not mem_obj: + nextend -= 1 # account for overcounting in return value + if fits_file: fits_image.close() return (mef_file, nextend, first_image) From f43df281bc9de59d8dd2e4f80d619422bf61499c Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Thu, 5 Apr 2018 13:13:25 -0400 Subject: [PATCH 26/44] flushed out a walkthrough example for the docs --- docs/_static/walkthrough-array.png | Bin 0 -> 123633 bytes docs/_static/walkthrough-ginga.png | Bin 0 -> 352085 bytes 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zzD4EjJAh6e@@n`HoXrI|ngeueyf-syuU_p4)ZlTfRPssljy}K`PX%v|3)j7iH;)0^ zcM)ZHf-&FEfT#bXX@NA^wD&Xm8KIwkdNmvuF>bwid`RF;wBIrsGW`6<9|tea9FA2- z8s>Cq$-s?_cFwOEVVwJNbwwxGoU#i(mZsp`H&HE?&5>`{ew& z-RtkXJ4+gD?sv0H8$4f-hio(F&pl)5jirFWI2c)0_UWgW2KU~4^Nrp490Rh4=UzPS zrLww@g(KSF_&JuNheO*2f8zuV#`v#n9mcYNrl3&7H}oJQ0u2}^{l^|>X#Uk#UmdyU z$VP#n=gX>q2QOyNeDvYD=>O^6zyIrhH`z@3d*Q;x-L>ZO;>C-TF>w0Ssc<0OARS!r zNPvufM^mt0kE2bmTzP!=-g|HEPMvBb4(`` option from the commandline, then you must use the ip:port address:: +If you haven't given your windows unique names using the ``-title `` option from the commandline, then you must use the ip:port address:: viewer=imexam.connect('82a7e75f:57222') diff --git a/docs/imexam/walkthrough.rst b/docs/imexam/walkthrough.rst new file mode 100644 index 00000000..45851098 --- /dev/null +++ b/docs/imexam/walkthrough.rst @@ -0,0 +1,247 @@ +================== +Simple Walkthrough +================== + +This is intended as a basic example of using the imexam package as a quicklook +for image examination. If you are new to python or to the python version of imexam, +start here to get your feet wet. + +First you need to import the package +:: + + import imexam + + +Usage with D9 (the current default viewer) +------------------------------------------ +Start up a ``DS9`` window (DS9 is the default viewer): + +* a new ``DS9`` window will be opened +* open a fits image +* scale the image using zscale():: + + viewer=imexam.connect() # startup a new DS9 window + viewer.load_fits('iacs01t4q_flt.fits') # load a fits image into it + viewer.scale() # run default zscaling on the image + + +.. image:: ../_static/simple_ds9_open.png + :height: 600 + :width: 400 + :alt: imexam with DS9 window and loaded fits image + +If you already have a DS9 gui running, you can ask for a list of available windows: + +:: + + # This will display if you've used the default command above and have no other DS9 windows open + In [1]: imexam.list_active_ds9() + DS9 imexam1522943947.288667 gs a825364:62436 sosey + Out[2]: {'a825364:62436': ('imexam1522943947.288667', 'sosey', 'DS9', 'gs')} + + ## imexam puts its own unique name on the window + + # open a window in another process from the shell + # you should see it use the default name, 'ds9' + In [3]: !ds9& + In [4]: imexam.list_active_ds9() + Out[7]: + {'a825364:62436': ('imexam1522943947.288667', 'sosey', 'DS9', 'gs'), + 'a825364:62459': ('ds9', 'sosey', 'DS9', 'gs')} + + +You can attach to a current ``DS9`` window by specifying its unique name, +this is the first name listed in the dictionary item values tuple: +:: + + viewer1 = imexam.connect('ds9') + + +If you haven't given your windows unique names using the ``-title `` option from the commandline, then you must use the ip:port address. This address is also the key that is +returned in the dictionary of active DS9 windows. In order to attached to the window +we stared in the shell, use : `a825364:62459` + + viewer1 = imexam.connect('a825364:62459') + + +Load a fits image into the new DS9 window: + + viewer1.load_fits('n8q624e8q_cal.fits') + + +You may have noticed that the information from `list_active_ds9()` is returned in a python dictionary structure, this is to enable quick cycling or picking of available DS9 windows +by asking for the keys in the dictionary. This following is just for instruction +purposes, the code below asks for the list of windows and then successively +displays the same image to each one:: + + ds9_windows = imexam.list_active_ds9() + for window in ds9_windows: + temp=imexam.connect(window) + temp.load_fits('n8q624e8q_cal.fits') + + +It's also possible to load a FITS image object that you already have opened in your +python session, if no extension is given, then the first IMAGE exension that is found +will be loaded as a numpy array:: + + from astropy.io import fits + image = fits.open('n8q624e8q_cal.fits') + viewer1.load_fits(image) + + +Using `get_viewer_info()` returns information about what is contained +inside the DS9 window. There could be many uses for the returned +dictionary, here I'm just listing the information to show you +how the display of the FITS file versus the FITS object changes +the information that `imexam` stores:: + + + In [23]: viewer1.get_viewer_info() + Out[23]: + {'1': {'extname': 'SCI', + 'extver': 1, + 'filename': '/Users/sosey/test_images/n8q624e8q_cal.fits', + 'iscube': False, + 'mef': True, + 'naxis': 0, + 'numaxis': 2, + 'user_array': None}} + + Above, you'll see there is only 1 frame, named '1' that + contains a multi-extension fits file + + In [24]: from astropy.io import fits + In [25]: image = fits.open('n8q624e8q_cal.fits') + In [26]: viewer1.load_fits(image) + In [27]: viewer1.get_viewer_info() + Out[27]: + {'1': {'extname': None, + 'extver': None, + 'filename': None, + 'iscube': False, + 'mef': False, + 'naxis': 0, + 'numaxis': 2, + 'user_array': array([[ 0. , 0. , 0.73420113, ..., 2.29928851, + 1.13779497, 0.40814143], + [ 0. , 0.76415622, 0. , ..., 2.02307796, + 1.07565212, 0.44265628], + [ 0. , 0.76297635, 0.65969932, ..., 0.61184824, + 0.48248726, 0.41064522], + ..., + [ 0.5144701 , 0.38698068, 0.31468284, ..., 1.57044649, + 0.42518842, 0.50868863], + [ 0.44805121, 0.34715804, 0.33939072, ..., 0.67747742, + 0.46475834, 0.51104462], + [ 0.53063494, 0.54570055, 0.53724855, ..., 0.4361479 , + 0.58057427, 0.45152891]], dtype=float32)}} + + Above, you'll see that there is only 1 frame, but it contains + a numpy array and no filename reference. + + + +You can also load a numpy array directly, we'll create an example array:: + + import numpy as np + array = np.ones((100,100), dtype=np.float) * np.random.rand(100) + viewer.view(array) + viewer.zoom() # by default, zoom-to-fit, or give it a scale factor + +.. image:: ../_static/walkthrough-array.png + :height: 500 + :width: 400 + :alt: imexam with DS9 window and loaded numpy array + + +Now lets use `imexam()` to create a couple plots:: + + viewer.load_fits('n8q624e8q_cal.fits') + viewer.imexam() + +The available key mappings should be printed to your terminal:: + + In [7]: viewer.imexam() + + Press 'q' to quit + + 2 Make the next plot in a new window + a Aperture sum, with radius region_size + b Return the 2D gauss fit center of the object + c Return column plot + e Return a contour plot in a region around the cursor + g Return curve of growth plot + h Return a histogram in the region around the cursor + j 1D [Gaussian1D default] line fit + k 1D [Gaussian1D default] column fit + l Return line plot + m Square region stats, in [region_size],default is median + r Return the radial profile plot + s Save current figure to disk as [plot_name] + t Make a fits image cutout using pointer location + w Display a surface plot around the cursor location + x Return x,y,value of pixel + y Return x,y,value of pixel + + +Look at the window below, I've started the imexam loop +and then pressed the 'a' key to create an aperture photometry +plot (which also printed information to the terminal), then +I pressed the '2' key in order to keep the current plot open +and direct the next plot to a new window, where I've asked for +a line plot of the same star, using the 'l' key. + +.. image:: ../_static/walkthrough-imexam.png + :height: 500 + :width: 400 + :alt: imexam plotting functionality + +You should see the printed information in your terminal:: + + Current image /Users/sosey/test_images/n8q624e8q_cal.fits + xc=104.757598 yc=131.706727 + x y radius flux mag(zpt=25.00) sky/pix fwhm(pix) + 104.76 131.71 5 33.84 21.18 0.87 1.73 + Plots now directed towards imexam2 + Line at 104.75 131.625 + + + + +Usage with Ginga viewer +----------------------- + +Start up a ginga window using the HTML5 backend and display an image. Make sure that you have installed the most recent version of ginga, ``imexam`` may return an error that the viewer cannot be found otherwise.:: + + # since we've already used the viewer object + # to point to a DS9 window in the example + # above, we'll first cleanly close that down + viewer.close() + + # now connect to a ginga window + viewer=imexam.connect(viewer='ginga') + viewer.load_fits('n8q624e8q_cal.fits') + + +.. note:: All commands after your chosen viewer is opened are the same. Each viewer may also have it's own set of commands which you can additionally use. + +Scale the image to the default scaling, which is a zscale algorithm, but the viewers other scaling options are also available:: + + viewer.scale() + viewer.scale('asinh') # <-- uses asinh + + +.. image:: ../_static/walkthrough-ginga.png + :height: 500 + :width: 400 + :alt: imexam with ginga window and loaded FITS array + + +.. note:: When using the Ginga interface, the `imexam` plotting and analysis functions are used by pressing the 'i' key to enter imexam mode. Inside this mode the key mappings are as listed by `imexam`, outside of this mode (pressing 'q') the Ginga key mappings are in effect. + + +When you are using the HTML5 Ginga viewer, the `close()` method will stop the HTTP server, but you must close the window manually. + + In [34]: viewer.close() + Stopped http server + diff --git a/docs/index.rst b/docs/index.rst index c4be8e40..9f3c7e17 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -4,26 +4,41 @@ :width: 600 :alt: Example imexam workspace -``imexam`` is an affiliated package of AstroPy. It was designed to be a lightweight library which enables users to explore data using common methods which are consistant across viewers. It can be used from a command line interface, through a Jupyter notebook or through a Jupyter console. It can be used with multiple viewers, such as DS9 or Ginga, or without a viewer as a simple library to make plots and grab quick photometry information. The above image is an example desktop interfacing with DS9. Below, is another example desktop using the Jupyter notebook and the Ginga HTML5 viewer. +The above image is an example desktop interfacing with DS9. -.. image:: _static/ginga_desktop_html5.png - :height: 400 - :width: 600 - :alt: Example imexam workspace +``imexam`` is an affiliated package of AstroPy. It was designed to be a lightweight library that enables users to explore data using common methods which are consistant across viewers. The power of this python tool is that it is essentially a library of plotting -and analysis routines which can be directed towards any viewer. It attempts to -standardize the interface into these functions so that no matter +and analysis routines that can be directed towards any viewer. It attempts to +standardize the analysis interface so that no matter what viewer is in use the calls and results are the same. It can also be used without connecting to any viewer since the calls take only data and location information. This means that given a data array and a list of x,y positions you can create plots and return information without having to interact with -the viewers, just by calling the functions directly either from a shell or a -private script. +the viewers, just by calling the functions directly either from a a command line +shell or from a private script. + +`imexam` can be used: + +* from a command line interface +* through a Jupyter notebook or through a Jupyter console +* with multiple viewers, such as DS9 or Ginga (submit a github issue or PR to add others) +* without a viewer as a simple library to make plots and grab quick photometry information. + ``imexam`` may be used as a replacement for the IRAF imexamine task. You should be able to perform all of the most used functions that ``imexamine`` provided in IRAF, but you also gain the flexibility of python and the ability to add your own analysis functions. +The standalone library has also been used as a replacement for `psfmeasure`. + +.. image:: _static/ginga_desktop_html5.png + :height: 400 + :width: 600 + :alt: Example imexam workspace + +The above image is an example desktop using the Jupyter notebook and the Ginga HTML5 viewer. + + Installation ============ @@ -34,6 +49,15 @@ Installation Description +Simple Walkthrough +================== +.. toctree:: + :maxdepth: 2 + + + Getting started with a basic walk though a simple use case + + User documentation ================== .. toctree:: @@ -47,6 +71,7 @@ User documentation Dependencies IRAF-imexamine Capabilites Comparison with IRAF + Reporting Issues ================ From 7cebf40fe00e2289755130cfaac3ab6098abacda Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 6 Apr 2018 14:20:45 -0400 Subject: [PATCH 27/44] logic update to detect IMAGE in simple fits file better --- CHANGES.rst | 4 ++ docs/imexam/imexam_command.rst | 91 +++++++++++++++++----------------- docs/imexam/walkthrough.rst | 28 +++++++++++ imexam/ds9_viewer.py | 19 +++---- imexam/imexamine.py | 17 ++++--- imexam/util.py | 3 ++ 6 files changed, 101 insertions(+), 61 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index efd23877..07d07d9d 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,5 +1,9 @@ version 0.8.1dev (unreleased) ----------------------------- +- radial profile plot centering changed slightly to use the max brightest pixel after gauss centering +- documenation updated and new simple walkthrough added +- MEF fits images with IMAGE arrays in the primary HDU should be detected correctly now +- now possible to give load_fits an in-memory fits object - code cleanup and minor bug fixes - background fit added to 1D and 2D Gaussian fits - plotting AiryDisk2D fit is now possible diff --git a/docs/imexam/imexam_command.rst b/docs/imexam/imexam_command.rst index 89703033..624e3178 100644 --- a/docs/imexam/imexam_command.rst +++ b/docs/imexam/imexam_command.rst @@ -9,24 +9,23 @@ This is the main method which allows live interaction with the image display whe **Current recognized keys available during imexam are:** :: - 2 Make the next plot in a new window - a Aperture sum, with radius region_size - b Return the 2D gauss fit center of the object - c Return column plot - e Return a contour plot in a region around the cursor - g Return curve of growth plot - h Return a histogram in the region around the cursor - j 1D [Gaussian1D default] line fit - k 1D [Gaussian1D default] column fit - l Return line plot - m Square region stats, in [region_size],default is median - r Return the radial profile plot - s Save current figure to disk as [plot_name] - t Make a fits image cutout using pointer location - w Display a surface plot around the cursor location - x Return x,y,value of pixel - y Return x,y,value of pixel - + 2 Make the next plot in a new window + a Aperture sum, with radius region_size + b Return the 2D gauss fit center of the object + c Return column plot + e Return a contour plot in a region around the cursor + g Return curve of growth plot + h Return a histogram in the region around the cursor + j 1D [Gaussian1D default] line fit + k 1D [Gaussian1D default] column fit + l Return line plot + m Square region stats, in [region_size],default is median + r Return the radial profile plot + s Save current figure to disk as [plot_name] + t Make a fits image cutout using pointer location + w Display a surface plot around the cursor location + x Return x,y,value of pixel + y Return x,y,value of pixel aimexam(): return a dict of current parameters for aperture photometery @@ -187,42 +186,44 @@ This is the resulting plot: :alt: Plot of aperture photometry apertures -Gaussian1D, Moffat1D, MexicanHat1D profiles -------------------------------------------- +Available 1D profiles +--------------------- +These include Gaussian1D, Moffat1D, MexicanHat1D, AiryDisk2D, and Polynomial1D. + If you press the "j" or "k" keys, a 1D profile is fit to the data in either the line or column of the current pointer location. An option to use a Polynomial1D fit is also available, although not something of use for looking at stellar profiles. A plot of both the data and the fit + parameters is displayed. If the centering option is True, then the center of the flux is computed by fitting a 2d Gaussian to the data. :: line_fit_pars={"function":["line_fit",], - "func":["gaussian","function for fitting [see available]"], + "func":["gaussian"," function for fitting [see available]"], "title":["Fit 1D line plot","Title of the plot"], - "xlabel":["Line","The string for the xaxis label"], - "ylabel":["Flux","The string for the yaxis label"], - "background":[False,"Solve for background? [bool]"], - "width":[10.0,"Background width in pixels"], - "xorder":[0,"Background terms to fit, 0=median"], - "rplot":[20.,"Plotting radius in pixels"], - "pointmode":[True,"plot points instead of lines? [bool]"], - "logx":[False,"log scale x-axis?"], - "logy":[False,"log scale y-axis?"], - "center":[True,"Recenter around the local max"], + "xlabel":["Line", "The string for the xaxis label"], + "ylabel":["Flux", "The string for the yaxis label"], + "background":[False, "Solve for background? [bool]"], + "width":[10.0, "Background width in pixels"], + "xorder":[0, "Background terms to fit, 0=median"], + "rplot":[20., "Plotting radius in pixels"], + "pointmode":[True, "plot points instead of lines? [bool]"], + "logx":[False, "log scale x-axis?"], + "logy":[False, "log scale y-axis?"], + "center":[True, "Recenter around the local max"], } The column fit parameters are similar:: column_fit_pars={"function":["column_fit",], - "func":["Gaussian1D","function for fitting [see available]"], - "title":["Fit 1D column plot","Title of the plot"], - "xlabel":["Column","The string for the xaxis label"], - "ylabel":["Flux","The string for the yaxis label"], - "background":[False,"Solve for background? [bool]"], - "width":[10.0,"Background width in pixels"], - "xorder":[0,"Background terms to fit, 0=median"], - "rplot":[20.,"Plotting radius in pixels"], + "func":["Gaussian1D", "function for fitting [see available]"], + "title":["Fit 1D column plot", "Title of the plot"], + "xlabel":["Column", "The string for the xaxis label"], + "ylabel":["Flux", "The string for the yaxis label"], + "background":[False, "Solve for background? [bool]"], + "width":[10.0, "Background width in pixels"], + "xorder":[0, "Background terms to fit, 0=median"], + "rplot":[20., "Plo tting radius in pixels"], "pointmode":[True,"plot points instead of lines? [bool]"], - "logx":[False,"log scale x-axis?"], - "logy":[False,"log scale y-axis?"], - "center":[True,"Recenter around the local max"], + "logx":[False, "log scale x-axis?"], + "logy":[False, "log scale y-axis?"], + "center":[True, "Recenter around the local max"], } This is the resulting line fit: @@ -249,8 +250,8 @@ If you press the "m" key, the pixel values around the pointer location are calc The user can map the function to any reasonable numpy function, it's set to numpy.median by default:: report_stat_pars= {"function":["report_stat",], - "stat":["median","numpy stat name or describe for scipy.stats"], - "region_size":[5,"region size in pixels to use"], + "stat":["median", "numpy stat name or describe for scipy.stats"], + "region_size":[5, "region size in pixels to use"], } @@ -258,7 +259,7 @@ The user can map the function to any reasonable numpy function, it's set to nump You can change the statistic reported by changing the "stat" parameter:: - viewer.set_plot_pars('m',"stat","max") + viewer.set_plot_pars('m', "stat", "max") [572:577,629:634] amax: 55271.000000 diff --git a/docs/imexam/walkthrough.rst b/docs/imexam/walkthrough.rst index 45851098..fab7f36c 100644 --- a/docs/imexam/walkthrough.rst +++ b/docs/imexam/walkthrough.rst @@ -206,6 +206,34 @@ You should see the printed information in your terminal:: Line at 104.75 131.625 +Users may change the default settings for each of the imexamine recognized keys by editing the associated dictionary. You can edit it directly, by accessing each of the values by their keyname and then reset mydict to values you prefer. You can also create a new dictionary of function which maps to your own + +However, you can access the same dictionary and customize the plotting parameters using ``set_plot_pars``. In the following example, I'm setting three of the parameters for the contour map, whose imexam key is "e":: + + #customize the plotting parameters (or any function in the imexam loop) + viewer.set_plot_pars('e','title','This is my favorite galaxy') + viewer.set_plot_pars('e','ncontours',4) + viewer.set_plot_pars('e','cmap','YlOrRd') #see http://matplotlib.org/users/colormaps.html + +where the full dictionary of available values can be found using the ``eimexam()`` function described above.:: + + In [1]: viewer.eimexam() + Out[2]: + {'ceiling': [None, 'Maximum value to be contoured'], + 'cmap': ['RdBu', 'Colormap (matplotlib style) for image'], + 'floor': [None, 'Minimum value to be contoured'], + 'function': ['contour'], + 'label': [True, 'Label major contours with their values? [bool]'], + 'linestyle': ['--', 'matplotlib linestyle'], + 'ncolumns': [15, 'Number of columns'], + 'ncontours': [8, 'Number of contours to be drawn'], + 'nlines': [15, 'Number of lines'], + 'title': [None, 'Title of the plot'], + 'xlabel': ['x', 'The string for the xaxis label'], + 'ylabel': ['y', 'The string for the yaxis label']} + +Users may also add their own ``imexam`` keys and associated functions by registering them with the register(user_funct=dict()) method. The new binding will be added to the dictionary of imexamine functions as long as the key is unique. The new functions do not have to have default dictionaries association with them, but users are free to create them. + Usage with Ginga viewer diff --git a/imexam/ds9_viewer.py b/imexam/ds9_viewer.py index 6df95a02..0f761e22 100644 --- a/imexam/ds9_viewer.py +++ b/imexam/ds9_viewer.py @@ -1161,6 +1161,8 @@ def load_fits(self, fname, extver=None, mecube=False): shortname = fname extn = None extv = 0 + if extver is None: + extver = extv if isinstance(fname, fits.hdu.hdulist.HDUList): shortname = fname extn = None @@ -1291,23 +1293,23 @@ def mark_region_from_array( elif isinstance(input_points, str): input_points = [tuple(input_points.split())] - X = 0 - Y = 1 - COMMENT = 2 + x = 0 + y = 1 + comment = 2 rtype = "circle" # only one supported right now for location in input_points: if rtype == "circle": pline = rtype + " " + \ - str(location[X]) + " " + str(location[Y]) + " " + str(size) + str(location[x]) + " " + str(location[y]) + " " + str(size) print(pline) self.set_region(pline) try: - if(len(str(location[COMMENT])) > 0): - pline = "text " + str(float(location[X]) + textoff) +\ - " " + str(float(location[Y]) + textoff) + " '" +\ - str(location[COMMENT]) + "' #font=times" + if(len(str(location[comment])) > 0): + pline = "text " + str(float(location[x]) + textoff) +\ + " " + str(float(location[y]) + textoff) + " '" +\ + str(location[comment]) + "' #font=times" print(pline) self.set_region(pline) except IndexError: @@ -1796,7 +1798,6 @@ def zoom(self, par="to fit"): def show_xpa_commands(self): """Print the available XPA commands.""" print(self.get('')) # With empty string, all commands are returned - def reopen(self): """Reopen a closed window.""" diff --git a/imexam/imexamine.py b/imexam/imexamine.py index ad57bc11..3b643afd 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -946,7 +946,7 @@ def radial_profile(self, x, y, data=None, form=None, getdata = bool(self.radial_profile_pars["getdata"][0]) # cut the data down to size - datasize = int(self.radial_profile_pars["rplot"][0]) - 1 + datasize = int(self.radial_profile_pars["rplot"][0]) delta = 10 # chunk size in pixels to find center # center on image using a 2d gaussian @@ -960,21 +960,23 @@ def radial_profile(self, x, y, data=None, form=None, icenterx = int(centerx) icentery = int(centery) - # just grab the data box we want from the image + # just grab the data box we want centered on the object data_chunk = data[icentery - datasize:icentery + datasize, icenterx - datasize:icenterx + datasize] - y, x = np.indices((data_chunk.shape)) # radii of all pixels + # the max pixel should be at this location, modulo bad pixels + xmax, ymax = np.unravel_index(data_chunk.argmax(), data_chunk.shape) + y, x = np.indices(data_chunk.shape) # index of all pixels if self.radial_profile_pars["pixels"][0]: - r = np.sqrt((x - datasize + (centerx - icenterx))**2 - + (y - datasize + (centery - icentery))**2) + r = np.sqrt((np.abs(x - xmax) )**2 + + (np.abs(y - ymax) )**2) indices = np.argsort(r.flat) # sorted indices radius = r.flat[indices] flux = data_chunk.flat[indices] else: # sum the flux in integer bins - r = np.sqrt((x - datasize)**2 + (y - datasize)**2) + r = np.sqrt((x - xmax)**2 + (y - ymax)**2) r = r.astype(np.int) flux = np.bincount(r.ravel(), data_chunk.ravel()) radius = np.arange(len(flux)) @@ -992,12 +994,13 @@ def radial_profile(self, x, y, data=None, form=None, # to calculate the mean local background, divide the circular # annulus aperture sums by the area of the circular annulus. # The bkg sum with the circular aperture is then - # then mean local background times the circular apreture area. + # the mean local background times the circular apreture area. annulus_area = annulus_apertures.area() sky_per_pix = float(bkgflux_table['aperture_sum'] / annulus_area) self.log.info("Background per pixel: {0:f}".format(sky_per_pix)) if self.radial_profile_pars["pixels"][0]: + flux -= sky_per_pix else: flux -= np.bincount(r.ravel()) * sky_per_pix diff --git a/imexam/util.py b/imexam/util.py index b6209202..58e937e9 100644 --- a/imexam/util.py +++ b/imexam/util.py @@ -234,6 +234,9 @@ def check_valid(fits_data=None): try: # EXTEND is required for MEF FITS files mef_file = fits_image[0].header['EXTEND'] + if not mef_file: + if fits_image[0].header['NAXIS'] > 0: + first_image = 0 except KeyError: if fits_image[0].header['NAXIS'] > 0: first_image = 0 From 506910f0c26e98736468707dbbb90c298e20150d Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 6 Apr 2018 14:24:23 -0400 Subject: [PATCH 28/44] update tests for change in radius --- imexam/tests/test_imexamine.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/imexam/tests/test_imexamine.py b/imexam/tests/test_imexamine.py index d1c64f85..b5bd199a 100644 --- a/imexam/tests/test_imexamine.py +++ b/imexam/tests/test_imexamine.py @@ -205,7 +205,7 @@ def test_radial_profile_pixels(): # It's going to crop things down apparently. plots = Imexamine() - datasize = int(plots.radial_profile_pars["rplot"][0]) - 1 + datasize = int(plots.radial_profile_pars["rplot"][0]) icentery = 12 icenterx = 12 rad_in = rad_in[icentery - datasize:icentery + datasize, From 226d569ba5ed07faf18fbd6409112df00d7e7955 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 6 Apr 2018 14:43:25 -0400 Subject: [PATCH 29/44] update to get_data_filename from #104 --- docs/imexam/current_capability.rst | 2 +- docs/imexam/example3.rst | 2 +- imexam/connect.py | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/imexam/current_capability.rst b/docs/imexam/current_capability.rst index b3f4f793..c85834d8 100644 --- a/docs/imexam/current_capability.rst +++ b/docs/imexam/current_capability.rst @@ -85,7 +85,7 @@ but not yet fully implemented should return an error to that affect. :: - In [1]: viewer.get_data_filename() + In [1]: viewer.get_filename() Out[2]: '/Users/sosey/ssb/imexam/iabf01bzq_flt.fits' diff --git a/docs/imexam/example3.rst b/docs/imexam/example3.rst index 95dc5a3d..d0afdcb9 100644 --- a/docs/imexam/example3.rst +++ b/docs/imexam/example3.rst @@ -288,7 +288,7 @@ If you haven't already, start DS9 and load your image into the viewer. I'll assu #A little unsure this is the correct window? Let's check by asking what image is loaded. The image I'm working with is iabf01bzq_flt.fits - viewer.get_data_filename() + viewer.get_filename() '/Users/sosey/ssb/sosey/testme/iabf01bzq_flt.fits' <-- notice it returned the full pathname to the file diff --git a/imexam/connect.py b/imexam/connect.py index 59bf2056..bdbdba44 100644 --- a/imexam/connect.py +++ b/imexam/connect.py @@ -170,7 +170,7 @@ def grab(self): """Display a snapshop of the current image in the browser window.""" return self.window.grab() - def get_data_filename(self): + def get_filename(self): """Return the filename for the data in the current window.""" return self.window.get_filename() @@ -214,7 +214,7 @@ def _run_imexam(self): print("\nPress 'q' to quit\n") keys = self.exam.get_options() # possible commands self.exam.print_options() - cstring = "Current image {0}".format(self.get_data_filename(),) + cstring = "Current image {0}".format(self.get_filename(),) print(cstring) # set defaults From dbbfff9480d2f990387ede3501ac5c39d9440c92 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 6 Apr 2018 15:58:41 -0400 Subject: [PATCH 30/44] updates to the ci-testing files --- .travis.yml | 40 ++++++++++++++++++++++++++++++++----- CHANGES.rst | 3 ++- appveyor.yml | 1 + docs/imexam/walkthrough.rst | 24 ++++++++++++---------- imexam/tests/coveragerc | 3 +++ 5 files changed, 55 insertions(+), 16 deletions(-) diff --git a/.travis.yml b/.travis.yml index 6f349065..0a3caaaf 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,5 +1,11 @@ language: c +# Cache can be cleared from the travis settings menu, see docs currently at +# https://docs.travis-ci.com/user/caching#Clearing-Caches +cache: + - ccache + + os: - linux @@ -30,6 +36,23 @@ env: - SETUP_XVFB=True - EVENT_TYPE='push pull_request' + # PEP8 errors/warnings: + # E101 - mix of tabs and spaces + # W191 - use of tabs + # W291 - trailing whitespace + # W292 - no newline at end of file + # W293 - trailing whitespace + # W391 - blank line at end of file + # E111 - 4 spaces per indentation level + # E112 - 4 spaces per indentation level + # E113 - 4 spaces per indentation level + # E502 - the backslash is redundant between brackets + # E722 - do not use bare except + # E901 - SyntaxError or IndentationError + # E902 - IOError + - FLAKE8_OPT="--select=E101,W191,W291,W292,W293,W391,E111,E112,E113,E502,E722,E901,E902" + + matrix: # make sure that egg_info works without dependencies - PYTHON_VERSION=2.7 SETUP_CMD='egg_info' @@ -58,7 +81,6 @@ matrix: SPHINX_VERSION=1.5.6 - python: 3.5 env: SETUP_CMD='build_sphinx -w' CONDA_DEPENDENCIES='Cython ipython scipy matplotlib ginga' - SPHINX_VERSION=1.5.6 # Try Astropy development and LTS versions - python: 2.7 @@ -67,12 +89,16 @@ matrix: env: ASTROPY_VERSION=lts - python: 3.5 env: ASTROPY_VERSION=development + - python: 3.6 + env: ASTROPY_VERSION=development # Try with optional dependencies disabled - python: 2.7 env: PIP_DEPENDENCIES='' - python: 3.5 env: PIP_DEPENDENCIES='' + - python: 3.6 + env: PIP_DEPENDENCIES='' # Try older numpy versions @@ -80,20 +106,24 @@ matrix: env: NUMPY_VERSION=1.11 - python: 3.5 env: NUMPY_VERSION=1.12 + - python: 3.5 + env: NUMPY_VERSION=1.13 # Try numpy pre-release - python: 3.5 env: NUMPY_VERSION=prerelease + - python: 3.6 + env: NUMPY_VERSION=prerelease - # Do a coverage test in Python 2. - - python: 2.7 + # Do a coverage tests + - python: 3.5 env: SETUP_CMD='test --coverage' # Do a pep8 test - python: 3.5 - env: SETUP_CMD='test --pep8 -k pep8 + env: MAIN_CMD="flake8 imexam --count $FLAKE8_OPT" SETUP_CMD='' allow_failures: # The build with numpy pre-release halts in the middle without @@ -101,7 +131,7 @@ matrix: - python: 3.5 env: NUMPY_VERSION=prerelease - python: 3.6 - env: SETUP_CMD='build_sphinx -w' CONDA_DEPENDENCIES='Cython ipython scipy matplotlib ginga' + env: NUMPY_VERSION=prerelease before_install: diff --git a/CHANGES.rst b/CHANGES.rst index 07d07d9d..6b5d2573 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,7 +1,8 @@ version 0.8.1dev (unreleased) ----------------------------- +- travis and appveyor testing updates - radial profile plot centering changed slightly to use the max brightest pixel after gauss centering -- documenation updated and new simple walkthrough added +- documentation updated and new simple walkthrough added - MEF fits images with IMAGE arrays in the primary HDU should be detected correctly now - now possible to give load_fits an in-memory fits object - code cleanup and minor bug fixes diff --git a/appveyor.yml b/appveyor.yml index c3476bfb..4408f6f4 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -32,6 +32,7 @@ platform: # os: Visual Studio 2015 Update 2 install: + - "git submodule update --init --recursive" - "git clone git://github.com/astropy/ci-helpers.git" - "powershell ci-helpers/appveyor/install-miniconda.ps1" - "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PATH%" diff --git a/docs/imexam/walkthrough.rst b/docs/imexam/walkthrough.rst index fab7f36c..71fd578e 100644 --- a/docs/imexam/walkthrough.rst +++ b/docs/imexam/walkthrough.rst @@ -107,8 +107,8 @@ the information that `imexam` stores:: 'numaxis': 2, 'user_array': None}} - Above, you'll see there is only 1 frame, named '1' that - contains a multi-extension fits file + # Above, you can see there is only 1 frame, named 1, that + # contains a multi-extension fits file In [24]: from astropy.io import fits In [25]: image = fits.open('n8q624e8q_cal.fits') @@ -136,12 +136,13 @@ the information that `imexam` stores:: [ 0.53063494, 0.54570055, 0.53724855, ..., 0.4361479 , 0.58057427, 0.45152891]], dtype=float32)}} - Above, you'll see that there is only 1 frame, but it contains - a numpy array and no filename reference. + # Above you can see that there is only 1 frame, but it contains + # a numpy array and no filename reference. -You can also load a numpy array directly, we'll create an example array:: +You can also load a numpy array directly, we'll create an example array +and display it to our viewer:: import numpy as np array = np.ones((100,100), dtype=np.float) * np.random.rand(100) @@ -186,10 +187,10 @@ The available key mappings should be printed to your terminal:: Look at the window below, I've started the imexam loop and then pressed the 'a' key to create an aperture photometry -plot (which also printed information to the terminal), then -I pressed the '2' key in order to keep the current plot open -and direct the next plot to a new window, where I've asked for -a line plot of the same star, using the 'l' key. +plot (which also printed information about the photometry to +the terminal), then I pressed the '2' key in order to keep the +current plot open and direct the next plot to a new window, +where I've asked for a line plot of the same star, using the 'l' key. .. image:: ../_static/walkthrough-imexam.png :height: 500 @@ -206,7 +207,10 @@ You should see the printed information in your terminal:: Line at 104.75 131.625 -Users may change the default settings for each of the imexamine recognized keys by editing the associated dictionary. You can edit it directly, by accessing each of the values by their keyname and then reset mydict to values you prefer. You can also create a new dictionary of function which maps to your own +Users may change the default settings for each of the imexamine recognized keys by +editing the associated dictionary. You can edit it directly, by accessing each of +the values by their keyname and then reset mydict to values you prefer. You can +also create a new dictionary of functions which map to your own analysis functions. However, you can access the same dictionary and customize the plotting parameters using ``set_plot_pars``. In the following example, I'm setting three of the parameters for the contour map, whose imexam key is "e":: diff --git a/imexam/tests/coveragerc b/imexam/tests/coveragerc index 86afa43d..9e6074a0 100644 --- a/imexam/tests/coveragerc +++ b/imexam/tests/coveragerc @@ -26,3 +26,6 @@ exclude_lines = # Ignore branches that don't pertain to this version of Python pragma: py{ignore_python_version} + + # Don't complain about IPython completion helper + def _ipython_key_completions_ From 9e2c7ca17044c5508cfdeee58686867fb07593e1 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 17 Aug 2018 00:42:11 -0400 Subject: [PATCH 31/44] formatting and minor updates --- imexam/imexam_defpars.py | 20 ++-- imexam/imexamine.py | 143 ++++++++++++++++++------- imexam/math_helper.py | 221 ++++++++++++++++++++++++++++++++------- imexam/util.py | 2 +- 4 files changed, 299 insertions(+), 87 deletions(-) diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index 43543e5f..a17fd874 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -1,11 +1,9 @@ # Licensed under a 3-clause BSD style license - see LICENSE.rst """These are default parameters for some of the plotting functions in Imexam -Maybe it would be better to put these along with the imexam functions into -their own class which the connect class can import? Users could edit this file -to set their own defaults before installation, they could script something that -resets the dictionaries themselves, or we could create a method to let them set -from a json or text file maybe +Users can edit this file to set their own defaults before installation, +they could script something that resets the dictionaries themselves, +or we could create a method to let them set from a json or text file maybe """ # aperture photometry parameters @@ -37,8 +35,8 @@ "xlabel": ["Radius", "The string for the xaxis label"], "ylabel": ["Flux", "The string for the yaxis label"], "pixels": [True, "Plot all pixels at each radius? (False bins the data)"], - "fitplot": [False, "Overplot profile fit?"], - "fittype": ["Gaussian2D", "Profile type to fit (Gaussian2D)"], + "fitplot": [True, "Overplot profile fit?"], + "fittype": ["Gaussian1D", "Profile type to fit"], "center": [True, "Solve for center using 2d Gaussian? [bool]"], "background": [False, "Subtract background? [bool]"], "skyrad": [10., "Background inner radius in pixels, from center of object"], @@ -47,7 +45,9 @@ "rplot": [8., "Plotting radius in pixels"], "pointmode": [True, "plot points instead of lines? [bool]"], "marker": ["o", "The marker character to use, matplotlib style"], - "getdata": [False, "print the plotted data values"] + "getdata": [False, "print the plotted data values"], + "clip": [True, "Sigma clip by np.mean before center fitting?"], + "sigma": [3.0, "sigma value for clipping"], } # curve of growth @@ -99,6 +99,8 @@ "logx": [False, "log scale x-axis?"], "logy": [False, "log scale y-axis?"], "center": [True, "Recenter around the local max"], + "clip": [False, "Sigma clip by the mean before fitting?"], + "sigma": [3.0, "sigma value for clipping"], } # fit of column in image using model @@ -115,6 +117,8 @@ "logx": [False, "log scale x-axis?"], "logy": [False, "log scale y-axis?"], "center": [True, "Recenter around the local max"], + "clip": [False, "Sigma clip by the mean before fitting?"], + "sigma": [3.0, "sigma value for clipping"], } # contour plots diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 3b643afd..eb227e6a 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -33,9 +33,12 @@ from astropy.io import fits from astropy.modeling import models from astropy.visualization import ZScaleInterval + try: from scipy import stats + scipy_installed = True except ImportError: + scipy_installed = False print("Scipy not installed, describe stat unavailable") from . import math_helper @@ -91,7 +94,11 @@ def __init__(self): self._figure_name = "imexam" self._plot_windows.append(self._figure_name) self._reserved_keys = ['q', '2'] # not to be changed with user funcs - self._fit_models = ["Gaussian1D", "Moffat1D", "MexicanHat1D", "AiryDisk2D", "Polynomial1D"] + self._fit_models = ["Gaussian1D", + "Moffat1D", + "MexicanHat1D", + "AiryDisk2D", + "Polynomial1D"] # see if the package logger was already started self.log = logging.getLogger(__name__) @@ -427,7 +434,7 @@ def report_stat(self, x, y, data=None): ymin = int(y - dist) ymax = int(y + dist) - if "describe" in name: + if (("describe" in name) and (scipy_installed)): try: stat = getattr(stats, "describe") nobs, minmax, mean, var, skew, kurt = stat(data[ymin:ymax, @@ -531,7 +538,6 @@ def aper_phot(self, x, y, data=None, fig=None): delta=delta) # XXX TODO: Do I beleive that these all have to be ints? - radius = int(self.aper_phot_pars["radius"][0]) width = int(self.aper_phot_pars["width"][0]) inner = int(self.aper_phot_pars["skyrad"][0]) @@ -579,7 +585,11 @@ def aper_phot(self, x, y, data=None, fig=None): # Construct the output strings (header and parameter values) pheader = "x\ty\tradius\tflux\tmag(zpt={0:0.2f})\t".format(magzero) - pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t".format(x, y, radius, total_flux, mag) + pstr = "\n{0:.2f}\t{1:0.2f}\t{2:d}\t{3:0.2f}\t{4:0.2f}\t".format(x, + y, + radius, + total_flux, + mag) if sky_per_pix is not None: pheader += "sky/pix\t" @@ -605,9 +615,9 @@ def aper_phot(self, x, y, data=None, fig=None): ax = plt.gca() if self.aper_phot_pars["title"][0] is None: - title = "x=%.2f, y=%.2f, flux=%.1f, \nmag=%.1f, sky=%.1f" % (x, y, - total_flux, mag, - sky_per_pix) + title = "x=%.2f, y=%.2f, flux=%.1f, \nmag=%.1f, sky=%.1f" %(x, y, + total_flux, mag, + sky_per_pix) if center: title += ", fwhm=%.2f" % math_helper.gfwhm(sigma)[0] ax.set_title(title) @@ -618,12 +628,15 @@ def aper_phot(self, x, y, data=None, fig=None): zs = ZScaleInterval() color_range = zs.get_limits(data) else: - color_range = [self.aper_phot_pars['color_min'][0], self.aper_phot_pars['color_max'][0]] + color_range = [self.aper_phot_pars['color_min'][0], + self.aper_phot_pars['color_max'][0]] pad = outer * 1.2 # XXX TODO: Bad magic number - ax.imshow(data[int(y - pad):int(y + pad), int(x - pad):int(x + pad)], + ax.imshow(data[int(y - pad):int(y + pad), + int(x - pad):int(x + pad)], vmin=color_range[0], vmax=color_range[1], - extent=[int(x - pad), int(x + pad), int(y - pad), int(y + pad)], origin='lower', + extent=[int(x - pad), int(x + pad), + int(y - pad), int(y + pad)], origin='lower', cmap=self.aper_phot_pars['cmap'][0]) apertures.plot(ax=ax, color='green', alpha=0.75, lw=3) @@ -649,7 +662,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False The data array to work on form: string This is the functional form specified in the line fit parameters - Currently Gaussian1D, Moffat1D, MexicanHat1D, Polynomial1D + see show_fit_models() genplot: bool produce the plot or return the fit fig: figure for redirect @@ -694,7 +707,9 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False # fit the center with a 2d gaussian if pars["center"][0]: if fitform.name is not "Polynomial1D": - amp, xout, yout, sigma, sigmay = self.gauss_center(xx, yy, data, + amp, xout, yout, sigma, sigmay = self.gauss_center(xx, + yy, + data, delta=delta) if (xout < 0 or yout < 0 or xout > data.shape[1] or yout > data.shape[0]): @@ -712,22 +727,28 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False chunk = line[xx - delta: xx + delta] delta_add = xx - delta + # This factor is passed to the fitter + if pars["clip"][0]: + sig_factor = pars["sigma"][0] + else: + sig_factor = 0 + # fit model to data if fitform.name is "Gaussian1D": - fitted = math_helper.fit_gauss_1d(chunk) + fitted = math_helper.fit_gauss_1d(chunk, sigma=sig_factor) fitted.mean_0.value += delta_add elif fitform.name is "Moffat1D": - fitted = math_helper.fit_moffat_1d(chunk) + fitted = math_helper.fit_moffat_1d(chunk, sigma=sig_factor) fitted.x_0_0.value += delta_add elif fitform.name is "MexicanHat1D": - fitted = math_helper.fit_mex_hat_1d(chunk) + fitted = math_helper.fit_mex_hat_1d(chunk, sigma=sig_factor) fitted.x_0_0.value += delta_add elif fitform.name is "Polynomial1D": - fitted = math_helper.fit_poly_n(chunk, deg=degree) + fitted = math_helper.fit_poly_n(chunk, deg=degree, sigma=sig_factor) if fitted is None: raise ValueError("Problem with the Poly1D fit") elif fitform.name is "AiryDisk2D": - fitted = math_helper.fit_airy_2d(chunk) + fitted = math_helper.fit_airy_2d(chunk, sigma=sig_factor) if fitted is None: raise ValueError("Problem with the AiryDisk2D fit") fitted.x_0_0.value += (xx - delta) @@ -821,7 +842,7 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False return fitted def column_fit(self, x, y, data=None, form=None, genplot=True, fig=None): - """Compute the 1d fit to the column of data. + """Compute the 1d fit to the column of data. Parameters ---------- @@ -853,7 +874,7 @@ def column_fit(self, x, y, data=None, form=None, genplot=True, fig=None): if not genplot: return result - def gauss_center(self, x, y, data=None, delta=10): + def gauss_center(self, x, y, data=None, delta=10, sigma_factor=0): """Return the 2d gaussian fit center of the data. Parameters @@ -867,6 +888,8 @@ def gauss_center(self, x, y, data=None, delta=10): delta: int The range of data values (bounding box) to use around the x,y location for calculating the center + sigma_factor: float, optional + The sigma clipping factor to use on the data fit """ if data is None: @@ -882,7 +905,7 @@ def gauss_center(self, x, y, data=None, delta=10): # flipped from xpa chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] try: - fit = math_helper.gauss_center(chunk) + fit = math_helper.fit_gaussian_2d(chunk, sigma_factor=sigma_factor) amp = fit.amplitude_0.value xcenter = fit.x_mean_0.value ycenter = fit.y_mean_0.value @@ -910,7 +933,7 @@ def radial_profile(self, x, y, data=None, form=None, From the parameters Dictionary: If pixel is True, then every pixel at each radius is plotted. - If pixel is False, then the sum of all pixels at each radius is plotted. + If pixel is False, then the sum of all pixels at each radius is plotted Background may be subtracted and centering can be done with a 2D Gaussian fit. These options are read from the plot parameters dict. @@ -944,16 +967,41 @@ def radial_profile(self, x, y, data=None, form=None, self.radial_profile_pars["fittype"][0]) getdata = bool(self.radial_profile_pars["getdata"][0]) + center = self.radial_profile_pars["center"][0] + clip_on = self.radial_profile_pars["clip"][0] + fitplot = self.radial_profile_pars["fitplot"][0] + + if fitplot and not center: + center = True # needed for the fit # cut the data down to size datasize = int(self.radial_profile_pars["rplot"][0]) - delta = 10 # chunk size in pixels to find center # center on image using a 2d gaussian - if self.radial_profile_pars["center"][0]: - # pull out a small chunk to get the center defined - amp, centerx, centery, sigma, sigmay = \ - self.gauss_center(x, y, data, delta=delta) + sigma_factor = 0 + if clip_on: + sigma_factor = self.radial_profile_pars["sigma"][0] + + if center: + # reset delta for small arrays + delta = datasize # chunk size in pixels to find center + if delta >= len(data) / 4: + delta = delta / 2 + delta = int(delta) + + xx = int(x) + yy = int(y) + # flipped from xpa + data_chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] + + fitted = math_helper.fit_gaussian_2d(data_chunk, + sigma_factor=sigma_factor) + amp = fitted.amplitude_0.value + centerx = fitted.x_mean_0.value + centery = fitted.y_mean_0.value + sigmax = fitted.x_stddev_0.value + sigmay = fitted.y_stddev_0.value + fwhmx, fwhmx = math_helper.gfwhm(sigmax, sigmay) else: centery = y centerx = x @@ -965,18 +1013,21 @@ def radial_profile(self, x, y, data=None, form=None, icenterx - datasize:icenterx + datasize] # the max pixel should be at this location, modulo bad pixels - xmax, ymax = np.unravel_index(data_chunk.argmax(), data_chunk.shape) + # ymax, xmax = np.unravel_index(data_chunk.argmax(), data_chunk.shape) y, x = np.indices(data_chunk.shape) # index of all pixels + deltax = centerx - icenterx - 0.5 # fractional from fit to center + deltay = centery - icentery - 0.5 # fractional from fit to center if self.radial_profile_pars["pixels"][0]: - r = np.sqrt((np.abs(x - xmax) )**2 + - (np.abs(y - ymax) )**2) + r = np.sqrt((np.abs(x - datasize) + deltax)**2 + + (np.abs(y - datasize) + deltay)**2) indices = np.argsort(r.flat) # sorted indices radius = r.flat[indices] flux = data_chunk.flat[indices] else: # sum the flux in integer bins - r = np.sqrt((x - xmax)**2 + (y - ymax)**2) + r = np.sqrt((x - datasize + deltax)**2 + + (y - datasize + deltay)**2) r = r.astype(np.int) flux = np.bincount(r.ravel(), data_chunk.ravel()) radius = np.arange(len(flux)) @@ -987,7 +1038,7 @@ def radial_profile(self, x, y, data=None, form=None, width = self.radial_profile_pars["width"][0] annulus_apertures = photutils.CircularAnnulus((centerx, centery), r_in=inner, - r_out=inner + width) + r_out=inner+width) bkgflux_table = photutils.aperture_photometry(data, annulus_apertures) @@ -1013,7 +1064,15 @@ def radial_profile(self, x, y, data=None, form=None, self.log.info(info) self.log.info(radius, flux) - # finish the plot + # make data from the 2D gaussian fit + if fitplot: + xline = np.arange(len(data_chunk)) + fline = np.linspace(xline[0], xline[-1], 100) # finer sample + yfit = fitted(fline) + + # finish the plot + # TODO: users may get error if they use this without a display + # and request data back but forget to set genplot=False if genplot: pfig = fig if fig is None: @@ -1023,8 +1082,7 @@ def radial_profile(self, x, y, data=None, form=None, ax = fig.gca() if self.radial_profile_pars["title"][0] is None: - title = "{0}: {1} {2}".format(self._datafile, - icenterx, icentery) + title = "obj: ({0},{1})".format(icenterx, icentery) else: title = self.radial_profile_pars["title"][0] @@ -1035,12 +1093,21 @@ def radial_profile(self, x, y, data=None, form=None, ax.plot(radius, flux, self.radial_profile_pars["marker"][0]) else: ax.plot(radius, flux) - ax.set_title(title) ax.set_ylim(0,) - # over plot a gaussian fit to the data - if bool(self.radial_profile_pars["fitplot"][0]): - self.log.info("Fit overlay not yet implemented") + if fitplot: + ax.plot(fline, yfit, linestyle='-', c='r', label="Gaussin2D fit") + ax.set_xlim(0, datasize, 1) + ax.set_title("{0:s} amp={1:8.2f} sigmax={2:9.2f}," + "fwhm={3:9.2f}".format(title, + amp, + sigmax, + fwhmx)) + pstr = "({0:d},{1:d}) mean={2:9.2f}, fwhm={3:9.2f}".format( + int(centerx), int(centery), sigmax, fwhmx) + self.log.info(pstr) + else: + ax.set_title(title) if pfig is None and 'nbagg' not in get_backend().lower(): plt.draw() diff --git a/imexam/math_helper.py b/imexam/math_helper.py index 7b34a6ed..6cf152d9 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -7,7 +7,7 @@ import numpy as np import warnings from astropy.modeling import models, fitting -from astropy.stats import gaussian_sigma_to_fwhm +from astropy.stats import gaussian_sigma_to_fwhm, sigma_clip def gfwhm(sigmax, sigmay=None): @@ -64,58 +64,128 @@ def mfwhm(alpha=0, gamma=0): return 2 * alpha * np.sqrt(2 ** (1 / gamma) - 1) -def fit_moffat_1d(data, gamma=2., alpha=1.): - """Fit a 1D moffat profile to the data and return the fit.""" +def fit_moffat_1d(data, gamma=2., alpha=1., sigma=0.): + """Fit a 1D moffat profile to the data and return the fit. + + Parameters + ---------- + data: 2D data array + The input sigma to use + gamma: float (optional) + The input gamma to use + alpha: float (optional) + The input alpha to use + sigma: float (optional) + If sigma>0 then sigma clipping of the data is performed + at that level + + Returns + ------- + The fitted 1D moffat model for the data + + """ # data is assumed to already be chunked to a reasonable size ldata = len(data) x = np.arange(ldata) - # Fit model to data - fit = fitting.LevMarLSQFitter() + # Initialize the fitter + fitter = fitting.LevMarLSQFitter() + if sigma > 0: + fit = fitting.FittingWithOutlierRemoval(fitter, + sigma_clip, + niter=3, + sigma=sigma) + else: + fit = fitter # Moffat1D + constant - model = (models.Moffat1D(amplitude=max(data), x_0=ldata / 2, gamma=gamma, alpha=alpha) - + models.Polynomial1D(c0=data.min(), degree=0)) + model = (models.Moffat1D(amplitude=max(data), + x_0=ldata / 2, + gamma=gamma, + alpha=alpha) + + models.Polynomial1D(c0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') results = fit(model, x, data) # previous yield amp, ycenter, xcenter, sigma, offset - return results + # if sigma clipping is used, results is a tuple of data, model + if sigma > 0: + return results[1] + else: + return results -def fit_gauss_1d(data): - """Fit a 1D gaussian to the data and return the fit.""" +def fit_gauss_1d(data, sigma_factor=0): + """Fit a 1D gaussian to the 2d data and return the fit. + + Parameters + ---------- + data: 2D data array + The input sigma to use + sigma: float (optional) + If sigma>0 then sigma clipping of the data is performed + at that level + + Returns + ------- + The fitted 1D gaussian model for the data + """ + # data is assumed to already be chunked to a reasonable size delta = int(len(data) / 2.) # guess the center ldata = len(data) - x = np.arange(ldata) - # Fit model to data - fit = fitting.LevMarLSQFitter() + # Initialize the fitter + fitter = fitting.LevMarLSQFitter() + if sigma_factor > 0: + fit = fitting.FittingWithOutlierRemoval(fitter, + sigma_clip, + niter=3, + sigma=sigma_factor) + else: + fit = fitter # Gaussian1D + a constant - model = (models.Gaussian1D(amplitude=data.max() - data.min(), mean=delta, stddev=1.) - + models.Polynomial1D(c0=data.min(), degree=0)) + model = (models.Gaussian1D(amplitude=data.max() - data.min(), + mean=delta, stddev=1.) + + models.Polynomial1D(c0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') + x = np.arange(ldata) results = fit(model, x, data) # previous yield amp, ycenter, xcenter, sigma, offset - return results + # if sigma clipping is used, results is a tuple of data, model + if sigma_factor > 0: + return results[1] + else: + return results -def gauss_center(data, sigma=3., theta=0.): +def fit_gaussian_2d(data, sigma=3., theta=0., sigma_factor=0): """center the data by fitting a 2d gaussian to the region. Parameters ---------- - data: float + data: 2D float array should be a 2d array, the initial center is used to estimate the fit center + sigma: float (optional) + The sigma value for the starting gaussian model + theta: float(optional) + The theta value for the starting gaussian model + sigma_factor: float (optional) + If sigma_factor > 0 then clipping will be performed + on the data during the model fit + + Returns + ------- + The full gaussian fit model, from which the center can be extracted + """ # use a smaller bounding box so that we are only fitting the local data delta = int(len(data) / 2) # guess the center @@ -123,68 +193,139 @@ def gauss_center(data, sigma=3., theta=0.): ldata = len(data) yy, xx = np.mgrid[:ldata, :ldata] - # Fit model to data - fit = fitting.LevMarLSQFitter() + # Initialize the fitter + fitter = fitting.LevMarLSQFitter() + if sigma_factor > 0: + fit = fitting.FittingWithOutlierRemoval(fitter, + sigma_clip, + niter=3, + sigma=sigma_factor) + else: + fit = fitter # Gaussian2D(amp,xmean,ymean,xstd,ystd,theta) + a constant - model = (models.Gaussian2D(amp, delta, delta, sigma, sigma, theta) - + models.Polynomial2D(c0_0=data.min(), degree=0)) + model = (models.Gaussian2D(amp, delta, delta, sigma, sigma, theta) + + models.Polynomial2D(c0_0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') results = fit(model, xx, yy, data) # previous yield amp, ycenter, xcenter, sigma, offset - return results + # if sigma clipping is used, results is a tuple of data, model + if sigma_factor > 0: + return results[1] + else: + return results + + +def fit_mex_hat_1d(data, sigma_factor=0): + """Fit a 1D Mexican Hat function to the data. + + Parameters + ---------- + data: 2D float array + should be a 2d array, the initial center is used to estimate + the fit center + sigma_factor: float (optional) + If sigma_factor > 0 then clipping will be performed + on the data during the model fit -def fit_mex_hat_1d(data): - """Fit a 1D Mexican Hat function to the data.""" + Returns + ------- + The the fit model for mexican hat 1D function + """ ldata = len(data) x = np.arange(ldata) fixed_pars = {"x_0": True} - # Fit model to data - fit = fitting.LevMarLSQFitter() + # Initialize the fitter + fitter = fitting.LevMarLSQFitter() + if sigma_factor > 0: + fit = fitting.FittingWithOutlierRemoval(fitter, + sigma_clip, + niter=3, + sigma=sigma_factor) + else: + fit = fitter # Mexican Hat 1D + constant model = (models.MexicanHat1D(amplitude=np.max(data), - x_0=ldata / 2, sigma=2., fixed=fixed_pars) - + models.Polynomial1D(c0=data.min(), degree=0)) + x_0=ldata / 2, + sigma=2., + fixed=fixed_pars) + + models.Polynomial1D(c0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') results = fit(model, x, data) # previous yield amp, ycenter, xcenter, sigma, offset - return results + if sigma_factor > 0: + return results[1] + else: + return results -def fit_airy_2d(data, x=None, y=None): - """Fit an AiryDisk2D model to the data.""" +def fit_airy_2d(data, x=None, y=None, sigma_factor=0): + """Fit an AiryDisk2D model to the data. + + Parameters + ---------- + + data: 2D float array + should be a 2d array, the initial center is used to estimate + the fit center + x: float (optional) + xcenter location + y: float (optional) + ycenter location + sigma_factor: float (optional) + If sigma_factor > 0 then clipping will be performed + on the data during the model fit + + Returns + ------- + The the fit model for Airy2D function + + """ delta = int(len(data) / 2) # guess the center ldata = len(data) - if not x: + if x is None: x = delta - if not y: + if y is None: y = delta fixed_pars = {"x_0": True, "y_0": True} # hold these constant yy, xx = np.mgrid[:ldata, :ldata] - # fit model to the data - fit = fitting.LevMarLSQFitter() + # Initialize the fitter + fitter = fitting.LevMarLSQFitter() + if sigma_factor > 0: + fit = fitting.FittingWithOutlierRemoval(fitter, + sigma_clip, + niter=3, + sigma=sigma_factor) + else: + fit = fitter # AiryDisk2D(amplitude, x_0, y_0, radius) + constant - model = (models.AiryDisk2D(np.max(data), x_0=x, y_0=y, radius=delta, - fixed=fixed_pars) - + models.Polynomial2D(c0_0=data.min(), degree=0)) + model = (models.AiryDisk2D(np.max(data), + x_0=x, + y_0=y, + radius=delta, + fixed=fixed_pars) + + models.Polynomial2D(c0_0=data.min(), degree=0)) with warnings.catch_warnings(): # Ignore model warnings for new_plot_window warnings.simplefilter('ignore') results = fit(model, xx, yy, data) - return results + if sigma_factor > 0: + return results[1] + else: + return results def fit_poly_n(data, x=None, y=None, deg=1): diff --git a/imexam/util.py b/imexam/util.py index 58e937e9..4384d413 100644 --- a/imexam/util.py +++ b/imexam/util.py @@ -74,7 +74,7 @@ def list_active_ds9(verbose=True): if verbose: for line in sessions: print(line) - except xpa.XpaException: + except (ValueError, xpa.XpaException): print("No active sessions registered") else: From 213a61f00218a25980bca1c4ab8bd3c1b371df0b Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Sun, 19 Aug 2018 20:21:16 -0400 Subject: [PATCH 32/44] added weights for radial profile fitting --- imexam/imexam_defpars.py | 8 +- imexam/imexamine.py | 307 ++++++++++++++++++++------------------- imexam/math_helper.py | 122 +++++++++++++--- 3 files changed, 259 insertions(+), 178 deletions(-) diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index a17fd874..baf633bd 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -35,10 +35,10 @@ "xlabel": ["Radius", "The string for the xaxis label"], "ylabel": ["Flux", "The string for the yaxis label"], "pixels": [True, "Plot all pixels at each radius? (False bins the data)"], - "fitplot": [True, "Overplot profile fit?"], - "fittype": ["Gaussian1D", "Profile type to fit"], + "fitplot": [True, "Overplot model fit?"], + "func": ["Gaussian1D", "Model form to fit"], "center": [True, "Solve for center using 2d Gaussian? [bool]"], - "background": [False, "Subtract background? [bool]"], + "background": [True, "Subtract background? [bool]"], "skyrad": [10., "Background inner radius in pixels, from center of object"], "width": [5., "Background annulus width in pixels"], "magzero": [25., "magnitude zero point"], @@ -47,7 +47,7 @@ "marker": ["o", "The marker character to use, matplotlib style"], "getdata": [False, "print the plotted data values"], "clip": [True, "Sigma clip by np.mean before center fitting?"], - "sigma": [3.0, "sigma value for clipping"], + "sigma": [4.0, "sigma value for clipping during model fit"], } # curve of growth diff --git a/imexam/imexamine.py b/imexam/imexamine.py index eb227e6a..105ad8ab 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -690,7 +690,12 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False if form is None: fitform = getattr(models, pars["func"][0]) else: - fitform = getattr(models, form) + if form in self._fit_models: + fitform = getattr(models, form) + else: + raise ValueError("Functional form not in available: {}" + .format(self._fit_models)) + self.log.info("using model: {0}".format(fitform)) # Used for Polynomial1D fitting @@ -735,27 +740,24 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False # fit model to data if fitform.name is "Gaussian1D": - fitted = math_helper.fit_gauss_1d(chunk, sigma=sig_factor) + fitted = math_helper.fit_gauss_1d(chunk, sigma_factor=sig_factor) fitted.mean_0.value += delta_add elif fitform.name is "Moffat1D": - fitted = math_helper.fit_moffat_1d(chunk, sigma=sig_factor) + fitted = math_helper.fit_moffat_1d(chunk, sigma_factor=sig_factor) fitted.x_0_0.value += delta_add elif fitform.name is "MexicanHat1D": - fitted = math_helper.fit_mex_hat_1d(chunk, sigma=sig_factor) + fitted = math_helper.fit_mex_hat_1d(chunk, sigma_factor=sig_factor) fitted.x_0_0.value += delta_add elif fitform.name is "Polynomial1D": - fitted = math_helper.fit_poly_n(chunk, deg=degree, sigma=sig_factor) + fitted = math_helper.fit_poly_n(chunk, deg=degree, sigma_factor=sig_factor) if fitted is None: raise ValueError("Problem with the Poly1D fit") elif fitform.name is "AiryDisk2D": - fitted = math_helper.fit_airy_2d(chunk, sigma=sig_factor) + fitted = math_helper.fit_airy_2d(chunk, sigma_factor=sig_factor) if fitted is None: raise ValueError("Problem with the AiryDisk2D fit") fitted.x_0_0.value += (xx - delta) fitted.y_0_0.value += (yy - delta) - else: - self.log.info("{0:s} not implemented".format(fitform.name)) - return xline = np.arange(len(chunk)) + delta_add fline = np.linspace(xline[0], xline[-1], 100) # finer sample @@ -952,170 +954,175 @@ def radial_profile(self, x, y, data=None, form=None, Generate the plot if True, else return the fit data """ - subtract_background = bool(self.radial_profile_pars["background"][0]) + pars = self.radial_profile_pars + + subtract_background = bool(pars["background"][0]) if not photutils_installed and subtract_background: self.log.warning("Install photutils to enable " "background subtraction") subtract_background = False - else: - if data is None: - data = self._data + if data is None: + data = self._data + getdata = bool(pars["getdata"][0]) + center = pars["center"][0] + clip_on = pars["clip"][0] + if clip_on: + sig_factor = pars["sigma"][0] + fitplot = bool(pars["fitplot"][0]) + + if fitplot: if form is None: - form = getattr(models, - self.radial_profile_pars["fittype"][0]) + fitform = getattr(models, pars["func"][0]) + else: + if form not in self._fit_models: + msg = "{0:s} not supported for fitting".format(form) + self.log(msg) + raise ValueError(msg) + else: + fitform = getattr(models, form) - getdata = bool(self.radial_profile_pars["getdata"][0]) - center = self.radial_profile_pars["center"][0] - clip_on = self.radial_profile_pars["clip"][0] - fitplot = self.radial_profile_pars["fitplot"][0] + # cut the data down to size + datasize = int(pars["rplot"][0]) - if fitplot and not center: - center = True # needed for the fit + if center: + # reset delta for small arrays + delta = datasize # chunk size in pixels to find center + if delta >= len(data) / 4: + delta = delta / 2 + delta = int(delta) - # cut the data down to size - datasize = int(self.radial_profile_pars["rplot"][0]) + xx = int(x) + yy = int(y) + # flipped from xpa + data_chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] - # center on image using a 2d gaussian - sigma_factor = 0 - if clip_on: - sigma_factor = self.radial_profile_pars["sigma"][0] + amp, centerx, centery, sigmax, sigmay = self.gauss_center(xx, yy, data, delta=delta) + else: + centery = y + centerx = x + icenterx = int(centerx) + icentery = int(centery) + + # just grab the data box centered on the object + data_chunk = data[icentery - datasize :icentery + datasize, + icenterx - datasize :icenterx + datasize] + + y, x = np.indices(data_chunk.shape) # index of all pixels + r = np.sqrt(((x - datasize)**2 + + (y - datasize)**2)) + + if pars["pixels"][0]: + indices = np.argsort(r.flat) # sorted indices + flux = data_chunk.flat[indices] + radius = r.flat[indices] + + else: # sum the flux in integer bins + r = r.astype(np.int) + flux = np.bincount(r.ravel(), data_chunk.ravel()) + radius = np.arange(len(flux)) + + # Get a background measurement + if subtract_background: + inner = pars["skyrad"][0] + width = pars["width"][0] + annulus_apertures = photutils.CircularAnnulus((centerx, centery), + r_in=inner, + r_out=inner+width) + bkgflux_table = photutils.aperture_photometry(data, + annulus_apertures) - if center: - # reset delta for small arrays - delta = datasize # chunk size in pixels to find center - if delta >= len(data) / 4: - delta = delta / 2 - delta = int(delta) - - xx = int(x) - yy = int(y) - # flipped from xpa - data_chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] - - fitted = math_helper.fit_gaussian_2d(data_chunk, - sigma_factor=sigma_factor) - amp = fitted.amplitude_0.value - centerx = fitted.x_mean_0.value - centery = fitted.y_mean_0.value - sigmax = fitted.x_stddev_0.value - sigmay = fitted.y_stddev_0.value - fwhmx, fwhmx = math_helper.gfwhm(sigmax, sigmay) + # to calculate the mean local background, divide the circular + # annulus aperture sums by the area of the circular annulus. + # The bkg sum with the circular aperture is then + # the mean local background times the circular apreture area. + annulus_area = annulus_apertures.area() + sky_per_pix = float(bkgflux_table['aperture_sum'] / + annulus_area) + self.log.info("Background per pixel: {0:f}".format(sky_per_pix)) + if pars["pixels"][0]: + flux -= sky_per_pix else: - centery = y - centerx = x - icenterx = int(centerx) - icentery = int(centery) - - # just grab the data box we want centered on the object - data_chunk = data[icentery - datasize:icentery + datasize, - icenterx - datasize:icenterx + datasize] - - # the max pixel should be at this location, modulo bad pixels - # ymax, xmax = np.unravel_index(data_chunk.argmax(), data_chunk.shape) - y, x = np.indices(data_chunk.shape) # index of all pixels - deltax = centerx - icenterx - 0.5 # fractional from fit to center - deltay = centery - icentery - 0.5 # fractional from fit to center - - if self.radial_profile_pars["pixels"][0]: - r = np.sqrt((np.abs(x - datasize) + deltax)**2 + - (np.abs(y - datasize) + deltay)**2) - indices = np.argsort(r.flat) # sorted indices - radius = r.flat[indices] - flux = data_chunk.flat[indices] - - else: # sum the flux in integer bins - r = np.sqrt((x - datasize + deltax)**2 + - (y - datasize + deltay)**2) - r = r.astype(np.int) - flux = np.bincount(r.ravel(), data_chunk.ravel()) - radius = np.arange(len(flux)) - - # Get a background measurement - if subtract_background: - inner = self.radial_profile_pars["skyrad"][0] - width = self.radial_profile_pars["width"][0] - annulus_apertures = photutils.CircularAnnulus((centerx, centery), - r_in=inner, - r_out=inner+width) - bkgflux_table = photutils.aperture_photometry(data, - annulus_apertures) - - # to calculate the mean local background, divide the circular - # annulus aperture sums by the area of the circular annulus. - # The bkg sum with the circular aperture is then - # the mean local background times the circular apreture area. - annulus_area = annulus_apertures.area() - sky_per_pix = float(bkgflux_table['aperture_sum'] / - annulus_area) - self.log.info("Background per pixel: {0:f}".format(sky_per_pix)) - if self.radial_profile_pars["pixels"][0]: - - flux -= sky_per_pix - else: - flux -= np.bincount(r.ravel()) * sky_per_pix - if getdata: - self.log.info("Sky per pixel: {0} using " - "(rad={1}->{2})".format(sky_per_pix, - inner, inner + width)) + flux -= np.bincount(r.ravel()) * sky_per_pix if getdata: - info = "\nat (x,y)={0:f},{1:f}\n".format(centerx, centery) - self.log.info(info) - self.log.info(radius, flux) - - # make data from the 2D gaussian fit - if fitplot: - xline = np.arange(len(data_chunk)) - fline = np.linspace(xline[0], xline[-1], 100) # finer sample - yfit = fitted(fline) + self.log.info("Sky per pixel: {0} using " + "(rad={1}->{2})".format(sky_per_pix, + inner, inner + width)) + if getdata: + info = "\nat (x,y)={0:f},{1:f}\n".format(centerx, centery) + self.log.info(info) + self.log.info(radius, flux) + + # Fit the functional form to the radial profile flux + if fitplot: + sig_factor = pars["sigma"][0] + fline = np.linspace(0, datasize, 100) # finer sample + # fit model to data + if fitform.name is "Gaussian1D": + fitted = math_helper.fit_gauss_1d(flux, + sigma_factor=sig_factor, + center_left=True, + weighted=True) + elif fitform.name is "Moffat1D": + fitted = math_helper.fit_moffat_1d(flux, + sigma_factor=sig_factor, + center_left=True, + weighted=True) + elif fitform.name is "MexicanHat1D": + fitted = math_helper.fit_mex_hat_1d(flux, + sigma_factor=sig_factor, + center_left=True, + weighted=True) + if fitted is None: + msg = "Problem with the {0:s} fit".format(fitform.name) + self.log(msg) + raise ValueError(msg) - # finish the plot - # TODO: users may get error if they use this without a display - # and request data back but forget to set genplot=False - if genplot: - pfig = fig - if fig is None: - fig = plt.figure(self._figure_name) - fig.clf() - fig.add_subplot(111) - ax = fig.gca() + yfit = fitted(fline) - if self.radial_profile_pars["title"][0] is None: - title = "obj: ({0},{1})".format(icenterx, icentery) - else: - title = self.radial_profile_pars["title"][0] + # finish the plot + # TODO: users may get error if they use this without a display + # and request data back but forget to set genplot=False + if genplot: + pfig = fig + if fig is None: + fig = plt.figure(self._figure_name) + fig.clf() + fig.add_subplot(111) + ax = fig.gca() - ax.set_xlabel(self.radial_profile_pars["xlabel"][0]) - ax.set_ylabel(self.radial_profile_pars["ylabel"][0]) + ax.set_xlabel(pars["xlabel"][0]) + ax.set_ylabel(pars["ylabel"][0]) - if bool(self.radial_profile_pars["pointmode"][0]): - ax.plot(radius, flux, self.radial_profile_pars["marker"][0]) - else: - ax.plot(radius, flux) - ax.set_ylim(0,) + if bool(pars["pointmode"][0]): + ax.plot(radius, flux, pars["marker"][0]) + else: + ax.plot(radius, flux) + ax.set_ylim(0,) + if pars["title"][0] is None: if fitplot: - ax.plot(fline, yfit, linestyle='-', c='r', label="Gaussin2D fit") - ax.set_xlim(0, datasize, 1) - ax.set_title("{0:s} amp={1:8.2f} sigmax={2:9.2f}," - "fwhm={3:9.2f}".format(title, - amp, - sigmax, - fwhmx)) - pstr = "({0:d},{1:d}) mean={2:9.2f}, fwhm={3:9.2f}".format( - int(centerx), int(centery), sigmax, fwhmx) - self.log.info(pstr) + title = ("Radial Profile at ({0:d},{1:d}) with {2:s}" + .format(icenterx, icentery, fitform.name)) else: - ax.set_title(title) + title = "Radial Profile for {0} {1}".format(icenterx, icentery) + else: + title = pars["title"][0] - if pfig is None and 'nbagg' not in get_backend().lower(): - plt.draw() - plt.pause(0.001) - else: - fig.canvas.draw() + if fitplot: + ax.plot(fline, yfit, linestyle='-', c='r', label=fitform.name) + ax.set_xlim(0, datasize, 1) + + ax.set_title(title) + + if pfig is None and 'nbagg' not in get_backend().lower(): + plt.draw() + plt.pause(0.001) else: - return radius, flux + fig.canvas.draw() + else: + return radius, flux def curve_of_growth(self, x, y, data=None, genplot=True, fig=None): """Display a curve of growth plot. diff --git a/imexam/math_helper.py b/imexam/math_helper.py index 6cf152d9..df324ac5 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -6,6 +6,7 @@ import numpy as np import warnings + from astropy.modeling import models, fitting from astropy.stats import gaussian_sigma_to_fwhm, sigma_clip @@ -64,7 +65,8 @@ def mfwhm(alpha=0, gamma=0): return 2 * alpha * np.sqrt(2 ** (1 / gamma) - 1) -def fit_moffat_1d(data, gamma=2., alpha=1., sigma=0.): +def fit_moffat_1d(data, gamma=2., alpha=1., sigma_factor=0., + center_left=False, weighted=False): """Fit a 1D moffat profile to the data and return the fit. Parameters @@ -75,7 +77,7 @@ def fit_moffat_1d(data, gamma=2., alpha=1., sigma=0.): The input gamma to use alpha: float (optional) The input alpha to use - sigma: float (optional) + sigma_factor: float (optional) If sigma>0 then sigma clipping of the data is performed at that level @@ -86,56 +88,81 @@ def fit_moffat_1d(data, gamma=2., alpha=1., sigma=0.): """ # data is assumed to already be chunked to a reasonable size ldata = len(data) + if center_left: + x0 = 0 + else: + x0 = int(ldata / 2.) + + # assumes negligable background + if weighted: + z = np.sqrt(data) # use as weight + x = np.arange(ldata) # Initialize the fitter fitter = fitting.LevMarLSQFitter() - if sigma > 0: + if sigma_factor > 0: fit = fitting.FittingWithOutlierRemoval(fitter, sigma_clip, niter=3, - sigma=sigma) + sigma=sigma_factor) else: fit = fitter # Moffat1D + constant model = (models.Moffat1D(amplitude=max(data), - x_0=ldata / 2, + x_0=x0, gamma=gamma, alpha=alpha) + models.Polynomial1D(c0=data.min(), degree=0)) + with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') - results = fit(model, x, data) + if weighted: + results = fit(model, x, data, weights=z) + else: + results = fit(model, x, data) # previous yield amp, ycenter, xcenter, sigma, offset # if sigma clipping is used, results is a tuple of data, model - if sigma > 0: + if sigma_factor > 0: return results[1] else: return results -def fit_gauss_1d(data, sigma_factor=0): - """Fit a 1D gaussian to the 2d data and return the fit. +def fit_gauss_1d(data, sigma_factor=0, center_left=False, weighted=False): + """Fit a 1D gaussian to the data and return the fit. Parameters ---------- - data: 2D data array - The input sigma to use + data: data array + Peak is assumed at center of array + set center_high to True and the center will + be taken at the first value sigma: float (optional) If sigma>0 then sigma clipping of the data is performed at that level + center_high: bool + False by default, set to true to use first value as center + weighted: bool + if weighted is True, then weight the values by basic + uncertainty measure of flux Returns ------- - The fitted 1D gaussian model for the data + The fitted 1D gaussian model for the data. """ - - # data is assumed to already be chunked to a reasonable size - delta = int(len(data) / 2.) # guess the center ldata = len(data) + if center_left: + delta = 0 + else: + delta = int(ldata / 2.) + + # assumes negligable background + if weighted: + z = np.sqrt(data) # use as weight # Initialize the fitter fitter = fitting.LevMarLSQFitter() @@ -151,11 +178,15 @@ def fit_gauss_1d(data, sigma_factor=0): model = (models.Gaussian1D(amplitude=data.max() - data.min(), mean=delta, stddev=1.) + models.Polynomial1D(c0=data.min(), degree=0)) + with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') x = np.arange(ldata) - results = fit(model, x, data) + if weighted: + results = fit(model, x, data, weights=z) + else: + results = fit(model, x, data) # previous yield amp, ycenter, xcenter, sigma, offset # if sigma clipping is used, results is a tuple of data, model @@ -219,7 +250,7 @@ def fit_gaussian_2d(data, sigma=3., theta=0., sigma_factor=0): return results -def fit_mex_hat_1d(data, sigma_factor=0): +def fit_mex_hat_1d(data, sigma_factor=0, center_left=False, weighted=False): """Fit a 1D Mexican Hat function to the data. Parameters @@ -237,6 +268,15 @@ def fit_mex_hat_1d(data, sigma_factor=0): The the fit model for mexican hat 1D function """ ldata = len(data) + if center_left: + x0 = 0 + else: + x0 = int(ldata / 2.) + + # assumes negligable background + if weighted: + z = np.sqrt(data) # use as weight + x = np.arange(ldata) fixed_pars = {"x_0": True} @@ -252,14 +292,18 @@ def fit_mex_hat_1d(data, sigma_factor=0): # Mexican Hat 1D + constant model = (models.MexicanHat1D(amplitude=np.max(data), - x_0=ldata / 2, + x_0=x0, sigma=2., fixed=fixed_pars) + models.Polynomial1D(c0=data.min(), degree=0)) + with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') - results = fit(model, x, data) + if weighted: + results = fit(model, x, data, weights=z) + else: + results = fit(model, x, data) # previous yield amp, ycenter, xcenter, sigma, offset if sigma_factor > 0: @@ -328,8 +372,26 @@ def fit_airy_2d(data, x=None, y=None, sigma_factor=0): return results -def fit_poly_n(data, x=None, y=None, deg=1): - """Fit a Polynomial 1D model to the data.""" +def fit_poly_n(data, deg=1, sigma_factor=0): + """Fit a Polynomial 1D model to the data. + + Parameters + ---------- + + data: float array + should be a 1d or 2d array + deg: int + The degree of polynomial to fit + sigma_factor: float (optional) + If sigma_factor > 0 then clipping will be performed + on the data during the model fit + + Returns + ------- + The the polynomial fit model for the function + """ + if len(data) < deg + 1: + raise ValueError("fit_poly_n: Need more data for fit") # define the model poly = models.Polynomial1D(deg) @@ -338,10 +400,22 @@ def fit_poly_n(data, x=None, y=None, deg=1): ax = np.arange(len(data)) # define the fitter - fit = fitting.LinearLSQFitter() + fitter = fitting.LinearLSQFitter() + + if sigma_factor > 0: + fit = fitting.FittingWithOutlierRemoval(fitter, + sigma_clip, + sigma=sigma_factor, + niter=3) + else: + fit = fitter + try: result = fit(poly, ax, data) - except: - ValueError + except ValueError: result = None + + if sigma_factor > 0: + result = result[1] + return result From 3fccab442e33b8d82b999f4bd2f0adf343cb1d94 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Sat, 25 Aug 2018 03:03:45 -0400 Subject: [PATCH 33/44] still need some weighting adjustments on the radprof fits --- imexam/imexam_defpars.py | 4 +-- imexam/imexamine.py | 68 ++++++++++++++++++++++++++++++++++------ imexam/math_helper.py | 42 ++++++++++++++++--------- 3 files changed, 88 insertions(+), 26 deletions(-) diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index baf633bd..e36956d6 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -39,14 +39,14 @@ "func": ["Gaussian1D", "Model form to fit"], "center": [True, "Solve for center using 2d Gaussian? [bool]"], "background": [True, "Subtract background? [bool]"], - "skyrad": [10., "Background inner radius in pixels, from center of object"], + "skyrad": [5., "Background inner radius in pixels, from center of object"], "width": [5., "Background annulus width in pixels"], "magzero": [25., "magnitude zero point"], "rplot": [8., "Plotting radius in pixels"], "pointmode": [True, "plot points instead of lines? [bool]"], "marker": ["o", "The marker character to use, matplotlib style"], "getdata": [False, "print the plotted data values"], - "clip": [True, "Sigma clip by np.mean before center fitting?"], + "clip": [False, "Sigma clip by np.mean before center fitting?"], "sigma": [4.0, "sigma value for clipping during model fit"], } diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 105ad8ab..aa384bde 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -970,6 +970,8 @@ def radial_profile(self, x, y, data=None, form=None, clip_on = pars["clip"][0] if clip_on: sig_factor = pars["sigma"][0] + else: + sig_factor = 0 fitplot = bool(pars["fitplot"][0]) if fitplot: @@ -984,7 +986,11 @@ def radial_profile(self, x, y, data=None, form=None, fitform = getattr(models, form) # cut the data down to size + # make it odd if it's even datasize = int(pars["rplot"][0]) + if datasize < 3: + print("Insufficient pixels, resetting chunk size to 3.") + datasize = 3 if center: # reset delta for small arrays @@ -1004,14 +1010,20 @@ def radial_profile(self, x, y, data=None, form=None, centerx = x icenterx = int(centerx) icentery = int(centery) + xfrac = centerx - icenterx + yfrac = centery - icentery # just grab the data box centered on the object - data_chunk = data[icentery - datasize :icentery + datasize, - icenterx - datasize :icenterx + datasize] + data_chunk = data[icentery - datasize:icentery + datasize, + icenterx - datasize:icenterx + datasize] y, x = np.indices(data_chunk.shape) # index of all pixels - r = np.sqrt(((x - datasize)**2 + - (y - datasize)**2)) + y = np.abs(y - datasize) + xfrac + x = np.abs(x - datasize) + yfrac + x[datasize, datasize] = 0 + y[datasize, datasize] = 0 + + r = np.sqrt(x**2 + y**2) if pars["pixels"][0]: indices = np.argsort(r.flat) # sorted indices @@ -1040,7 +1052,13 @@ def radial_profile(self, x, y, data=None, form=None, annulus_area = annulus_apertures.area() sky_per_pix = float(bkgflux_table['aperture_sum'] / annulus_area) + + # don't add flux + if sky_per_pix < 0: + sky_per_pix = 0 + self.log.info("Sky background negative, setting to zero") self.log.info("Background per pixel: {0:f}".format(sky_per_pix)) + if pars["pixels"][0]: flux -= sky_per_pix else: @@ -1055,25 +1073,50 @@ def radial_profile(self, x, y, data=None, form=None, self.log.info(radius, flux) # Fit the functional form to the radial profile flux + # TODO: Ignore sky subtracted pixels that push flux + # below zero? if fitplot: - sig_factor = pars["sigma"][0] fline = np.linspace(0, datasize, 100) # finer sample # fit model to data if fitform.name is "Gaussian1D": fitted = math_helper.fit_gauss_1d(flux, sigma_factor=sig_factor, - center_left=True, + center_at=0, weighted=True) + self.log.info(fitted) + fwhmx, fwhmy = math_helper.gfwhm(fitted.stddev_0.value) + legend = ("Max. pix. flux = {0:9.3f}\n" + "amp = {1:9.3f}\n" + "fwhm = {2:9.3f}".format(np.max(flux), + fitted.amplitude_0.value, + fwhmx)) + legendx = 2 # the min datasize + legendy = fitted.amplitude_0.value / 2 + elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(flux, sigma_factor=sig_factor, - center_left=True, + center_at=0, weighted=True) + mfwhm = math_helper.mfwhm(fitted.alpha_0.value, + fitted.gamma_0.value) + legend = ("Max. pix. flux = {0:9.3f}\n" + "amp = {1:9.3f}\n" + "fwhm = {2:9.3f}".format(np.max(flux), + fitted.amplitude_0.value, + mfwhm)) + legendx = 2 # the min datasize + legendy = fitted.amplitude_0.value / 2 + elif fitform.name is "MexicanHat1D": fitted = math_helper.fit_mex_hat_1d(flux, sigma_factor=sig_factor, - center_left=True, + center_at=0, weighted=True) + legend = ("Max. pix. flux = {0:9.3f}\n".format(np.max(flux))) + legendx = 2 # the min datasize + legendy = np.max(flux) / 2 + if fitted is None: msg = "Problem with the {0:s} fit".format(fitform.name) self.log(msg) @@ -1092,8 +1135,12 @@ def radial_profile(self, x, y, data=None, form=None, fig.add_subplot(111) ax = fig.gca() + if subtract_background: + ytitle = ("Flux ( sky/pix = {0:8.2f} )".format(sky_per_pix)) + else: + ytitle = pars["ylabel"][0] ax.set_xlabel(pars["xlabel"][0]) - ax.set_ylabel(pars["ylabel"][0]) + ax.set_ylabel(ytitle) if bool(pars["pointmode"][0]): ax.plot(radius, flux, pars["marker"][0]) @@ -1112,7 +1159,8 @@ def radial_profile(self, x, y, data=None, form=None, if fitplot: ax.plot(fline, yfit, linestyle='-', c='r', label=fitform.name) - ax.set_xlim(0, datasize, 1) + ax.set_xlim(0, datasize, 0.5) + ax.text(legendx, legendy, legend) ax.set_title(title) diff --git a/imexam/math_helper.py b/imexam/math_helper.py index df324ac5..e9677007 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -66,7 +66,7 @@ def mfwhm(alpha=0, gamma=0): def fit_moffat_1d(data, gamma=2., alpha=1., sigma_factor=0., - center_left=False, weighted=False): + center_at=None, weighted=False): """Fit a 1D moffat profile to the data and return the fit. Parameters @@ -80,6 +80,11 @@ def fit_moffat_1d(data, gamma=2., alpha=1., sigma_factor=0., sigma_factor: float (optional) If sigma>0 then sigma clipping of the data is performed at that level + center_at: float or None + None by default, set to value to use as center + weighted: bool + if weighted is True, then weight the values by basic + uncertainty hueristic Returns ------- @@ -88,14 +93,16 @@ def fit_moffat_1d(data, gamma=2., alpha=1., sigma_factor=0., """ # data is assumed to already be chunked to a reasonable size ldata = len(data) - if center_left: + + # guesstimate mean + if center_at: x0 = 0 else: x0 = int(ldata / 2.) # assumes negligable background if weighted: - z = np.sqrt(data) # use as weight + z = np.nan_to_num(1. / np.sqrt(data)) # use as weight x = np.arange(ldata) @@ -132,7 +139,7 @@ def fit_moffat_1d(data, gamma=2., alpha=1., sigma_factor=0., return results -def fit_gauss_1d(data, sigma_factor=0, center_left=False, weighted=False): +def fit_gauss_1d(data, sigma_factor=0, center_at=None, weighted=False): """Fit a 1D gaussian to the data and return the fit. Parameters @@ -144,25 +151,27 @@ def fit_gauss_1d(data, sigma_factor=0, center_left=False, weighted=False): sigma: float (optional) If sigma>0 then sigma clipping of the data is performed at that level - center_high: bool - False by default, set to true to use first value as center + center_at: float or None + False by default, set to value to use as center weighted: bool if weighted is True, then weight the values by basic - uncertainty measure of flux + uncertainty hueristic Returns ------- The fitted 1D gaussian model for the data. """ ldata = len(data) - if center_left: - delta = 0 - else: + + # guesstimate the mean + if center_at is None: delta = int(ldata / 2.) + else: + delta = center_at # assumes negligable background if weighted: - z = np.sqrt(data) # use as weight + z = np.nan_to_num(1. / np.sqrt(data)) # Initialize the fitter fitter = fitting.LevMarLSQFitter() @@ -250,7 +259,7 @@ def fit_gaussian_2d(data, sigma=3., theta=0., sigma_factor=0): return results -def fit_mex_hat_1d(data, sigma_factor=0, center_left=False, weighted=False): +def fit_mex_hat_1d(data, sigma_factor=0, center_at=None, weighted=False): """Fit a 1D Mexican Hat function to the data. Parameters @@ -262,20 +271,25 @@ def fit_mex_hat_1d(data, sigma_factor=0, center_left=False, weighted=False): sigma_factor: float (optional) If sigma_factor > 0 then clipping will be performed on the data during the model fit + center_at: float or None + None by default, set to value to use as center + weighted: bool + if weighted is True, then weight the values by basic + uncertainty hueristic Returns ------- The the fit model for mexican hat 1D function """ ldata = len(data) - if center_left: + if center_at: x0 = 0 else: x0 = int(ldata / 2.) # assumes negligable background if weighted: - z = np.sqrt(data) # use as weight + z = np.nan_to_num(1. / np.sqrt(data)) # use as weight x = np.arange(ldata) fixed_pars = {"x_0": True} From 27a88516ef01689f41afd01583f28bf2894673c6 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 3 Oct 2018 20:46:43 -0400 Subject: [PATCH 34/44] minor updates mostly text bugfix --- imexam/imexamine.py | 8 +++++--- imexam/tests/test_imexamine.py | 15 ++++++++++++--- imexam/tests/test_util.py | 6 +++--- 3 files changed, 20 insertions(+), 9 deletions(-) diff --git a/imexam/imexamine.py b/imexam/imexamine.py index aa384bde..25a59682 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -1010,6 +1010,8 @@ def radial_profile(self, x, y, data=None, form=None, centerx = x icenterx = int(centerx) icentery = int(centery) + + # fractional center xfrac = centerx - icenterx yfrac = centery - icentery @@ -1018,8 +1020,8 @@ def radial_profile(self, x, y, data=None, form=None, icenterx - datasize:icenterx + datasize] y, x = np.indices(data_chunk.shape) # index of all pixels - y = np.abs(y - datasize) + xfrac - x = np.abs(x - datasize) + yfrac + y = np.abs(y - datasize) - 0.5 + np.abs(0.5 - yfrac) + x = np.abs(x - datasize) - 0.5 + np.abs(0.5 - xfrac) x[datasize, datasize] = 0 y[datasize, datasize] = 0 @@ -1083,7 +1085,7 @@ def radial_profile(self, x, y, data=None, form=None, sigma_factor=sig_factor, center_at=0, weighted=True) - self.log.info(fitted) + fwhmx, fwhmy = math_helper.gfwhm(fitted.stddev_0.value) legend = ("Max. pix. flux = {0:9.3f}\n" "amp = {1:9.3f}\n" diff --git a/imexam/tests/test_imexamine.py b/imexam/tests/test_imexamine.py index b5bd199a..897818d4 100644 --- a/imexam/tests/test_imexamine.py +++ b/imexam/tests/test_imexamine.py @@ -130,7 +130,10 @@ def test_gauss_center(): def test_radial_profile(): - """Test the radial profile function without background subtraction""" + """Test the radial profile function + No background subtraction + Cummulive pixels used + """ from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) xx, yy = np.meshgrid(np.arange(25), np.arange(25)) @@ -146,6 +149,7 @@ def test_radial_profile(): plots = Imexamine() plots.set_data(data.array) + # check the binned results plots.radial_profile_pars['pixels'][0] = False plots.radial_profile_pars['background'][0] = False @@ -163,7 +167,9 @@ def test_radial_profile(): @pytest.mark.skipif('not HAS_PHOTUTILS') def test_radial_profile_background(): - """Test the radial profile function with background subtraction""" + """Test the radial profile function + With background subtraction + Cummulative pixels """ from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) xx, yy = np.meshgrid(np.arange(25), np.arange(25)) @@ -195,7 +201,10 @@ def test_radial_profile_background(): def test_radial_profile_pixels(): - """Test the radial profile function without background subtraction""" + """Test the radial profile function + without background subtraction + with each pixel unsummed + """ from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) xx, yy = np.meshgrid(np.arange(25), np.arange(25)) diff --git a/imexam/tests/test_util.py b/imexam/tests/test_util.py index c62ecbad..1ec38fa0 100644 --- a/imexam/tests/test_util.py +++ b/imexam/tests/test_util.py @@ -4,7 +4,7 @@ """ from __future__ import (absolute_import, division, print_function, unicode_literals) -import pytest + import numpy as np from numpy.testing import assert_equal from astropy.io import fits @@ -15,7 +15,7 @@ def test_invalid_simple_fits(): - """Test for an invalid FITS hdu with no data in + """Test for an invalid simple FITS hdu with no data in the primary HDU.""" simple_fits_hdu = fits.PrimaryHDU() @@ -59,7 +59,7 @@ def test_image_and_table_extensions(): mef_fits_hdu = fits.HDUList() mef_fits_hdu.append(fits.PrimaryHDU()) extension = fits.PrimaryHDU() - + mef_fits_hdu.append(tbhdu) mef_fits_hdu.append(fits.ImageHDU(test_data_zeros, header=extension.header, From 1d653325479f4dfd7329b0c98cfc0df6149ae7d3 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Thu, 4 Oct 2018 20:57:15 -0400 Subject: [PATCH 35/44] fixed radial distance calculation and tests updated --- imexam/imexam_defpars.py | 2 +- imexam/imexamine.py | 82 +++++++++++++----------- imexam/math_helper.py | 34 +++++----- imexam/tests/test_imexamine.py | 111 ++++++++++++--------------------- 4 files changed, 104 insertions(+), 125 deletions(-) diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index e36956d6..b1c43acf 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -39,7 +39,7 @@ "func": ["Gaussian1D", "Model form to fit"], "center": [True, "Solve for center using 2d Gaussian? [bool]"], "background": [True, "Subtract background? [bool]"], - "skyrad": [5., "Background inner radius in pixels, from center of object"], + "skyrad": [10., "Background inner radius in pixels, from center of object"], "width": [5., "Background annulus width in pixels"], "magzero": [25., "magnitude zero point"], "rplot": [8., "Plotting radius in pixels"], diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 25a59682..77436d0f 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -740,7 +740,8 @@ def line_fit(self, x, y, data=None, form=None, genplot=True, fig=None, col=False # fit model to data if fitform.name is "Gaussian1D": - fitted = math_helper.fit_gauss_1d(chunk, sigma_factor=sig_factor) + xr = np.arange(len(chunk)) + fitted = math_helper.fit_gauss_1d(xr, chunk, sigma_factor=sig_factor) fitted.mean_0.value += delta_add elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(chunk, sigma_factor=sig_factor) @@ -904,6 +905,7 @@ def gauss_center(self, x, y, data=None, delta=10, sigma_factor=0): delta = int(delta) xx = int(x) yy = int(y) + self.log.info("delta xx yy: {} {} {}".format(delta,xx,yy)) # flipped from xpa chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] try: @@ -951,7 +953,7 @@ def radial_profile(self, x, y, data=None, form=None, form: string The string name of the form of the fit to use genplot: bool - Generate the plot if True, else return the fit data + Generate the plot if True, else retfurn the fit data """ pars = self.radial_profile_pars @@ -967,11 +969,15 @@ def radial_profile(self, x, y, data=None, form=None, getdata = bool(pars["getdata"][0]) center = pars["center"][0] + + # be careful with the clipping since most + # of the data will be near the low value clip_on = pars["clip"][0] if clip_on: sig_factor = pars["sigma"][0] else: sig_factor = 0 + fitplot = bool(pars["fitplot"][0]) if fitplot: @@ -980,61 +986,60 @@ def radial_profile(self, x, y, data=None, form=None, else: if form not in self._fit_models: msg = "{0:s} not supported for fitting".format(form) - self.log(msg) + self.log.info(msg) raise ValueError(msg) else: fitform = getattr(models, form) - # cut the data down to size - # make it odd if it's even + # cut the data down to size and center cutout datasize = int(pars["rplot"][0]) if datasize < 3: - print("Insufficient pixels, resetting chunk size to 3.") + self.log.info("Insufficient pixels, resetting chunk size to 3.") datasize = 3 if center: # reset delta for small arrays - delta = datasize # chunk size in pixels to find center - if delta >= len(data) / 4: - delta = delta / 2 - delta = int(delta) - + # make it odd if it's even + if ((datasize % 2) == 0): + datasize = datasize + 1 xx = int(x) yy = int(y) # flipped from xpa - data_chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] + data_chunk = data[yy - datasize:yy + datasize, + xx - datasize:xx + datasize] + amp, centerx, centery, sigmax, sigmay = self.gauss_center(xx, yy, data, delta=datasize) - amp, centerx, centery, sigmax, sigmay = self.gauss_center(xx, yy, data, delta=delta) else: centery = y centerx = x + icenterx = int(centerx) icentery = int(centery) - # fractional center - xfrac = centerx - icenterx - yfrac = centery - icentery + # fractional center, help with precision errors to 1000th pixel + xfrac = round(centerx - icenterx, 2) + yfrac = round(centery - icentery, 2) # just grab the data box centered on the object data_chunk = data[icentery - datasize:icentery + datasize, icenterx - datasize:icenterx + datasize] y, x = np.indices(data_chunk.shape) # index of all pixels - y = np.abs(y - datasize) - 0.5 + np.abs(0.5 - yfrac) - x = np.abs(x - datasize) - 0.5 + np.abs(0.5 - xfrac) - x[datasize, datasize] = 0 - y[datasize, datasize] = 0 + y = y - datasize + x = x - datasize + r = np.sqrt((x-xfrac)**2 + (y-yfrac)**2) - r = np.sqrt(x**2 + y**2) + indices = np.argsort(r.flat) # sorted indices if pars["pixels"][0]: - indices = np.argsort(r.flat) # sorted indices - flux = data_chunk.flat[indices] - radius = r.flat[indices] + flux = data_chunk.ravel()[indices] + radius = r.ravel()[indices] else: # sum the flux in integer bins - r = r.astype(np.int) - flux = np.bincount(r.ravel(), data_chunk.ravel()) + radius = r.ravel()[indices].astype(np.int) + flux = np.bincount(radius, data_chunk.ravel()[indices]) + radbc = np.bincount(radius) + flux = flux / radbc radius = np.arange(len(flux)) # Get a background measurement @@ -1061,10 +1066,8 @@ def radial_profile(self, x, y, data=None, form=None, self.log.info("Sky background negative, setting to zero") self.log.info("Background per pixel: {0:f}".format(sky_per_pix)) - if pars["pixels"][0]: - flux -= sky_per_pix - else: - flux -= np.bincount(r.ravel()) * sky_per_pix + flux -= sky_per_pix + if getdata: self.log.info("Sky per pixel: {0} using " "(rad={1}->{2})".format(sky_per_pix, @@ -1081,7 +1084,7 @@ def radial_profile(self, x, y, data=None, form=None, fline = np.linspace(0, datasize, 100) # finer sample # fit model to data if fitform.name is "Gaussian1D": - fitted = math_helper.fit_gauss_1d(flux, + fitted = math_helper.fit_gauss_1d(radius, flux, sigma_factor=sig_factor, center_at=0, weighted=True) @@ -1092,8 +1095,9 @@ def radial_profile(self, x, y, data=None, form=None, "fwhm = {2:9.3f}".format(np.max(flux), fitted.amplitude_0.value, fwhmx)) - legendx = 2 # the min datasize - legendy = fitted.amplitude_0.value / 2 + self.log.info(legend) + legendx = datasize / 2 + legendy = np.max(flux) / 2 elif fitform.name is "Moffat1D": fitted = math_helper.fit_moffat_1d(flux, @@ -1107,8 +1111,8 @@ def radial_profile(self, x, y, data=None, form=None, "fwhm = {2:9.3f}".format(np.max(flux), fitted.amplitude_0.value, mfwhm)) - legendx = 2 # the min datasize - legendy = fitted.amplitude_0.value / 2 + legendx = datasize / 2 + legendy = np.max(flux) / 2 elif fitform.name is "MexicanHat1D": fitted = math_helper.fit_mex_hat_1d(flux, @@ -1116,12 +1120,12 @@ def radial_profile(self, x, y, data=None, form=None, center_at=0, weighted=True) legend = ("Max. pix. flux = {0:9.3f}\n".format(np.max(flux))) - legendx = 2 # the min datasize + legendx = datasize / 2 legendy = np.max(flux) / 2 if fitted is None: msg = "Problem with the {0:s} fit".format(fitform.name) - self.log(msg) + self.log.info(msg) raise ValueError(msg) yfit = fitted(fline) @@ -1155,7 +1159,8 @@ def radial_profile(self, x, y, data=None, form=None, title = ("Radial Profile at ({0:d},{1:d}) with {2:s}" .format(icenterx, icentery, fitform.name)) else: - title = "Radial Profile for {0} {1}".format(icenterx, icentery) + title = "Radial Profile for {0} {1}".format(icenterx, + icentery) else: title = pars["title"][0] @@ -1645,6 +1650,7 @@ def cutout(self, x, y, data=None, size=None, fig=None): hdulist.writeto(fname) self.log.info("Cutout at ({0},{1}) saved to {2:s}".format(xx, yy, fname)) + def register(self, user_funcs): """register a new imexamine function made by the user as an option. diff --git a/imexam/math_helper.py b/imexam/math_helper.py index e9677007..1b9ee0ec 100644 --- a/imexam/math_helper.py +++ b/imexam/math_helper.py @@ -139,20 +139,22 @@ def fit_moffat_1d(data, gamma=2., alpha=1., sigma_factor=0., return results -def fit_gauss_1d(data, sigma_factor=0, center_at=None, weighted=False): +def fit_gauss_1d(radius, flux, sigma_factor=0, center_at=None, weighted=False): """Fit a 1D gaussian to the data and return the fit. Parameters ---------- - data: data array - Peak is assumed at center of array - set center_high to True and the center will - be taken at the first value - sigma: float (optional) + radius: array of float + set center_at and the center will be taken there + flux: array of float + values should correspond to radius array + sigma_factor: float (optional) If sigma>0 then sigma clipping of the data is performed at that level center_at: float or None - False by default, set to value to use as center + None by default, set to value to use as center + If the value is None, center will be set at half the + array size. weighted: bool if weighted is True, then weight the values by basic uncertainty hueristic @@ -161,17 +163,20 @@ def fit_gauss_1d(data, sigma_factor=0, center_at=None, weighted=False): ------- The fitted 1D gaussian model for the data. """ - ldata = len(data) + + if radius.shape != flux.shape: + raise ValueError("Expected same sizes for radius and flux") # guesstimate the mean + # assumes ordered radius if center_at is None: - delta = int(ldata / 2.) + delta = int(len(radius) / 2.) else: delta = center_at # assumes negligable background if weighted: - z = np.nan_to_num(1. / np.sqrt(data)) + z = np.nan_to_num(np.log(flux)) # Initialize the fitter fitter = fitting.LevMarLSQFitter() @@ -184,18 +189,17 @@ def fit_gauss_1d(data, sigma_factor=0, center_at=None, weighted=False): fit = fitter # Gaussian1D + a constant - model = (models.Gaussian1D(amplitude=data.max() - data.min(), + model = (models.Gaussian1D(amplitude=flux.max() - flux.min(), mean=delta, stddev=1.) + - models.Polynomial1D(c0=data.min(), degree=0)) + models.Polynomial1D(c0=flux.min(), degree=0)) with warnings.catch_warnings(): # Ignore model linearity warning from the fitter warnings.simplefilter('ignore') - x = np.arange(ldata) if weighted: - results = fit(model, x, data, weights=z) + results = fit(model, radius, flux, weights=z) else: - results = fit(model, x, data) + results = fit(model, radius, flux) # previous yield amp, ycenter, xcenter, sigma, offset # if sigma clipping is used, results is a tuple of data, model diff --git a/imexam/tests/test_imexamine.py b/imexam/tests/test_imexamine.py index 897818d4..4723d1b1 100644 --- a/imexam/tests/test_imexamine.py +++ b/imexam/tests/test_imexamine.py @@ -132,7 +132,7 @@ def test_gauss_center(): def test_radial_profile(): """Test the radial profile function No background subtraction - Cummulive pixels used + individual pixel results used """ from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) @@ -150,100 +150,68 @@ def test_radial_profile(): plots = Imexamine() plots.set_data(data.array) - # check the binned results - plots.radial_profile_pars['pixels'][0] = False + plots.radial_profile_pars['pixels'][0] = True plots.radial_profile_pars['background'][0] = False + plots.radial_profile_pars['clip'][0] = False rad_out, flux_out = plots.radial_profile(x0, y0, genplot=False) - good = np.where(rad_in <= np.max(rad_out)) - rad_in = rad_in[good] - flux_in = flux_in[good] + order2 = np.argsort(rad_out) + rad_out = rad_out[order2] + flux_out = flux_out[order2] - flux_in = np.bincount(rad_in.astype(np.int), flux_in) + # the radial profile is done on a smaller cutout by default + # and may have a fractional center radius calculation. This + # looks at the first few hundred data points in both arrays + assert (len(rad_out) < len(rad_in)) + good = 150 + assert_allclose(rad_in[:good], rad_out[:good], atol=1e-14) + assert_allclose(flux_in[:good], flux_out[:good], atol=1e-14) - assert_array_equal(np.arange(flux_in.size), rad_out) - assert_allclose(flux_in - flux_out, flux_out * 0, atol=1e-5) - -@pytest.mark.skipif('not HAS_PHOTUTILS') -def test_radial_profile_background(): +def test_radial_profile_cumulative(): """Test the radial profile function - With background subtraction - Cummulative pixels """ + without background subtraction + with each pixel integer binned + """ from astropy.convolution import Gaussian2DKernel - data = Gaussian2DKernel(1.5, x_size=25, y_size=25) - xx, yy = np.meshgrid(np.arange(25), np.arange(25)) + ksize = 25 + data = Gaussian2DKernel(1.5, x_size=ksize, y_size=ksize) + xx, yy = np.meshgrid(np.arange(ksize), np.arange(ksize)) x0, y0 = np.where(data.array == data.array.max()) - rad_in = np.sqrt((xx - x0)**2 + (yy - y0)**2) + rad_in = rad_in.ravel() flux_in = data.array.ravel() - order = np.argsort(rad_in) - rad_in = rad_in[order] - flux_in = flux_in[order] + indices = np.argsort(rad_in) + rad_in = rad_in[indices] + flux_in = flux_in[indices] + # now bin the radflux like we expect + rad_in = rad_in.astype(np.int) + flux_in = np.bincount(rad_in, flux_in) / np.bincount(rad_in) + rad_in = np.arange(len(flux_in)) + assert (data.array[x0, y0] == flux_in[0]) + + # check the binned results plots = Imexamine() plots.set_data(data.array) - # check the binned results plots.radial_profile_pars['pixels'][0] = False - plots.radial_profile_pars['background'][0] = True + plots.radial_profile_pars['background'][0] = False + plots.radial_profile_pars['clip'][0] = False rad_out, flux_out = plots.radial_profile(x0, y0, genplot=False) - good = np.where(rad_in <= np.max(rad_out)) - rad_in = rad_in[good] - flux_in = flux_in[good] - - flux_in = np.bincount(rad_in.astype(np.int), flux_in) + # The default measurement size is not equal + assert (len(rad_in) >= len(rad_out)) + good = [rad_in[i] for i in rad_out if rad_out[i] == rad_in[i]] - assert_array_equal(np.arange(flux_in.size), rad_out) - assert_allclose(flux_in - flux_out, flux_out * 0, atol=1e-5) - - -def test_radial_profile_pixels(): - """Test the radial profile function - without background subtraction - with each pixel unsummed - """ - from astropy.convolution import Gaussian2DKernel - data = Gaussian2DKernel(1.5, x_size=25, y_size=25) - xx, yy = np.meshgrid(np.arange(25), np.arange(25)) - x0, y0 = np.where(data.array == data.array.max()) - - rad_in = np.sqrt((xx - x0)**2 + (yy - y0)**2) - - # It's going to crop things down apparently. - plots = Imexamine() - datasize = int(plots.radial_profile_pars["rplot"][0]) - icentery = 12 - icenterx = 12 - rad_in = rad_in[icentery - datasize:icentery + datasize, - icenterx - datasize:icenterx + datasize] - flux_in = data.array[icentery - datasize:icentery + datasize, - icenterx - datasize:icenterx + datasize] - - rad_in = rad_in.ravel() - flux_in = flux_in.ravel() - - order = np.argsort(rad_in) - rad_in = rad_in[order] - flux_in = flux_in[order] - - plots.set_data(data.array) - # check the unbinned results - plots.radial_profile_pars['pixels'][0] = True - out_radius, out_flux = plots.radial_profile(x0, y0, genplot=False) - good = np.where(rad_in <= np.max(out_radius)) - rad_in = rad_in[good] - flux_in = flux_in[good] - - assert_allclose(rad_in, out_radius, 1e-7) - assert_allclose(flux_in, out_flux, 1e-7) + assert_array_equal(rad_in[good], rad_out[good]) + assert_allclose(flux_in[good], flux_out[good], atol=1e-7) @pytest.mark.skipif('not HAS_PHOTUTILS') def test_curve_of_growth(): - """Test the cog functionality.""" + """Test the curve of growth functionality.""" from astropy.convolution import Gaussian2DKernel data = Gaussian2DKernel(1.5, x_size=25, y_size=25) plots = Imexamine() @@ -252,6 +220,7 @@ def test_curve_of_growth(): rads = [1, 2, 3, 4, 5, 6, 7, 8] flux = [] + # Run the aperture phot on this to build up the expected fluxes plots.aper_phot_pars['genplot'][0] = False plots.aper_phot_pars['subsky'][0] = False From 86762b8758271ec6f3454babe7021ac871ec1b74 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 10 Oct 2018 20:39:06 -0400 Subject: [PATCH 36/44] update change log --- CHANGES.rst | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/CHANGES.rst b/CHANGES.rst index 6b5d2573..90478aa6 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,7 +1,10 @@ version 0.8.1dev (unreleased) ----------------------------- - travis and appveyor testing updates -- radial profile plot centering changed slightly to use the max brightest pixel after gauss centering +- radial profile plot centering fixed to more correctly calculate the fractional center offsets +- cumulative radial profile flux calculation should now be correct +- the fit_gauss_1d function call was changed to accept the radius and flux array so that they + could be constructed correctly for multiple circumstances - documentation updated and new simple walkthrough added - MEF fits images with IMAGE arrays in the primary HDU should be detected correctly now - now possible to give load_fits an in-memory fits object From d2217f5694c8518a03931a49a5bb00bd467f9a06 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Wed, 10 Oct 2018 20:50:38 -0400 Subject: [PATCH 37/44] minor formatting updates --- imexam/ds9_viewer.py | 2 +- imexam/imexam_defpars.py | 4 ++-- imexam/imexamine.py | 7 +++---- imexam/util.py | 3 ++- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/imexam/ds9_viewer.py b/imexam/ds9_viewer.py index 0f761e22..6abcddbe 100644 --- a/imexam/ds9_viewer.py +++ b/imexam/ds9_viewer.py @@ -1150,7 +1150,7 @@ def load_fits(self, fname, extver=None, mecube=False): XPA needs to have the absolute path to the filename so that if the DS9 window was started in another directory it can still find the - file to load. + file to load. The pathname also needs to be stripped of spaces. """ # for the viewer reference frame = self.frame() diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index b1c43acf..06512bb7 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -1,8 +1,8 @@ # Licensed under a 3-clause BSD style license - see LICENSE.rst """These are default parameters for some of the plotting functions in Imexam -Users can edit this file to set their own defaults before installation, -they could script something that resets the dictionaries themselves, +Users can edit this file to set their own defaults before installation, +they could script something that resets the dictionaries themselves, or we could create a method to let them set from a json or text file maybe """ diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 77436d0f..9f81ebd4 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -57,7 +57,7 @@ # enable display plot in iPython notebook try: from io import StringIO -except: +except ImportError: from cString import StringIO try: @@ -905,7 +905,7 @@ def gauss_center(self, x, y, data=None, delta=10, sigma_factor=0): delta = int(delta) xx = int(x) yy = int(y) - self.log.info("delta xx yy: {} {} {}".format(delta,xx,yy)) + # flipped from xpa chunk = data[yy - delta:yy + delta, xx - delta:xx + delta] try: @@ -937,7 +937,7 @@ def radial_profile(self, x, y, data=None, form=None, From the parameters Dictionary: If pixel is True, then every pixel at each radius is plotted. - If pixel is False, then the sum of all pixels at each radius is plotted + If pixel is False, then the sum of all pixels in integer bins is plotted Background may be subtracted and centering can be done with a 2D Gaussian fit. These options are read from the plot parameters dict. @@ -1650,7 +1650,6 @@ def cutout(self, x, y, data=None, size=None, fig=None): hdulist.writeto(fname) self.log.info("Cutout at ({0},{1}) saved to {2:s}".format(xx, yy, fname)) - def register(self, user_funcs): """register a new imexamine function made by the user as an option. diff --git a/imexam/util.py b/imexam/util.py index 4384d413..9df02003 100644 --- a/imexam/util.py +++ b/imexam/util.py @@ -297,6 +297,8 @@ def verify_filename(filename=None, extver=None, extname=None): """ if filename is None: print("No filename provided") + elif not isinstance(filename, str): + raise TypeError("Expected filename to be a string") else: if "[" in filename: splitstr = filename.split("[") @@ -308,5 +310,4 @@ def verify_filename(filename=None, extver=None, extname=None): extver = int(filename.split("[")[1][0]) else: shortname = os.path.abspath(filename) - return shortname, extname, extver From ba56e209479c0f73734443fc7c7c78b7d3b27bcb Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Mon, 10 Dec 2018 15:33:55 -0500 Subject: [PATCH 38/44] added cursor moves for DS9, see #152 --- CHANGES.rst | 1 + imexam/connect.py | 40 +++++++++++++++++++++++++++++----------- 2 files changed, 30 insertions(+), 11 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 90478aa6..f6ad9001 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -15,6 +15,7 @@ version 0.8.1dev (unreleased) - new options added to the aperture phot parameter set that allow users to plot the used apertures - ZScaleInterval added from astropy.virtualization to set the color range on the data for aperture photometry plot - replaced the sigma to fwhm lambda with the astropy constant for conversion +- added cursor move recognition using the arrow keys during the imexam loop, however, depending how the user has their windowing focus set, the DS9 window may loose focus, forcing them to move the cursor manually back to the window. Cursor moves are only implemented for DS9, not Ginga. version 0.8.0 (released) ------------------------ diff --git a/imexam/connect.py b/imexam/connect.py index bdbdba44..0e1267ff 100644 --- a/imexam/connect.py +++ b/imexam/connect.py @@ -232,22 +232,40 @@ def _run_imexam(self): self._check_frame() if self.window.iscube(): self._check_slice() + + # This loop now recognizes the arrow keys + # for moving the cursor in the window, it calls + # the windows cursor function. However, depending + # on how the use has their windowing focus setup + # they might loose focus on the DS9 window and have to + # move the cursor to gain focus again, is there a way + # around this? Cursor is not implemented in the ginga + # interface. try: x, y, current_key = self.readcursor() - self._check_frame() - if self.window.iscube(): - self._check_slice() - if current_key not in keys and 'q' not in current_key: - print("Invalid key") - self.exam._close_plots() + if current_key in ["Left", "Right", "Up", "Down"]: + if current_key == "Left": + x, y = x - 1, y + if current_key == "Right": + x, y = x + 1, y + if current_key == "Down": + x, y = x, y - 1 + if current_key == "Up": + x, y = x, y + 1 + self.cursor(x=x, y=y) else: - if 'q' in current_key: - current_key = None + if current_key not in keys and 'q' not in current_key: self.exam._close_plots() else: - self.exam.do_option( - x, y, current_key) - + if 'q' in current_key: + current_key = None + self.exam._close_plots() + else: + self._check_frame() + if self.window.iscube(): + self._check_slice() + self.exam.do_option( + x, y, current_key) except KeyError: print( "Invalid key, use\n: {0}".format( From 9e2dc0d370a0a2f95841e9d83e1fe12dcdabe36e Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Tue, 11 Dec 2018 21:23:47 -0500 Subject: [PATCH 39/44] added fits hdu load to ginga --- CHANGES.rst | 2 + docs/imexam/current_capability.rst | 3 +- imexam/_astropy_init.py | 2 +- imexam/connect.py | 2 +- imexam/ginga_viewer.py | 65 +++++++++++++++++++----------- imexam/imexamine.py | 11 ++--- imexam/util.py | 2 +- 7 files changed, 55 insertions(+), 32 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index f6ad9001..3e6d60e7 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,5 +1,7 @@ version 0.8.1dev (unreleased) ----------------------------- +** THIS WILL BE THE LAST VERSION THAT SUPPORT Python 2.7 ** + - travis and appveyor testing updates - radial profile plot centering fixed to more correctly calculate the fractional center offsets - cumulative radial profile flux calculation should now be correct diff --git a/docs/imexam/current_capability.rst b/docs/imexam/current_capability.rst index c85834d8..fcb96fb6 100644 --- a/docs/imexam/current_capability.rst +++ b/docs/imexam/current_capability.rst @@ -151,7 +151,8 @@ but not yet fully implemented should return an error to that affect. **load_fits**\ (fname="", extver=1, extname=None): - Load a fits image into the current frame + Load a fits image into the current frame. + fname can be a filename or a fits HDU **load_mef_as_cube**\ (filename=None): diff --git a/imexam/_astropy_init.py b/imexam/_astropy_init.py index e45aef7b..7f90e383 100644 --- a/imexam/_astropy_init.py +++ b/imexam/_astropy_init.py @@ -119,5 +119,5 @@ def test(package=None, test_path=None, args=None, plugins=None, "importing from source, this is expected.") warn(config.configuration.ConfigurationDefaultMissingWarning(wmsg)) del e - except: + except Exception: raise orig_error diff --git a/imexam/connect.py b/imexam/connect.py index 0e1267ff..39b130c8 100644 --- a/imexam/connect.py +++ b/imexam/connect.py @@ -240,7 +240,7 @@ def _run_imexam(self): # they might loose focus on the DS9 window and have to # move the cursor to gain focus again, is there a way # around this? Cursor is not implemented in the ginga - # interface. + # interface. try: x, y, current_key = self.readcursor() if current_key in ["Left", "Right", "Up", "Down"]: diff --git a/imexam/ginga_viewer.py b/imexam/ginga_viewer.py index 72a283b6..d2012962 100644 --- a/imexam/ginga_viewer.py +++ b/imexam/ginga_viewer.py @@ -563,12 +563,12 @@ def embed(self, width=600, height=650): return self.ginga_view.embed(width, height) - def load_fits(self, fname="", extver=None): + def load_fits(self, fname=None, extver=None): """Load fits image to current frame. Parameters ---------- - fname: string, optional + fname: string, FITS HDU The name of the file to be loaded. You can specify the full extension in the name, such as filename_flt.fits[sci,1] or filename_flt.fits[1] @@ -582,38 +582,57 @@ def load_fits(self, fname="", extver=None): number, not the version number associated with a name """ if fname is None: - raise ValueError("No filename provided") + raise ValueError("No filename or HDU provided") - try: - shortname, extn, extv = util.verify_filename(fname) - image = AstroImage(logger=self.logger) + if isinstance(fname, (fits.hdu.image.PrimaryHDU, fits.hdu.image.ImageHDU)): + # Simple fits, data + header + shortname = fname + extn = None + if extver is None: + extv = None + extver = 0 + + elif isinstance(fname, fits.hdu.hdulist.HDUList): + shortname = fname + extn = None + extv = extver + elif isinstance(fname, str): + shortname, extn, extv = util.verify_filename(fname) if extn is not None: - raise ValueError("Extension name given, must specify " - "the absolute extension you want") - # prefer specified over filename + raise ValueError("Extension name given, must " + "specify the absolute extension you want") + # prefer the keyword value over the extension in the name if extver is None: extver = extv - if (extv is None and extver is None): - mef_file, nextend, first_image = util.check_valid(shortname) - # if mef_file: - # extver = 1 # MEF fits - # else: - # extver = 0 # simple fits - extver = first_image # really ext number for first IMAGE + else: + raise TypeError("Expected FITS data as input") - with fits.open(shortname) as filedata: - hdu = filedata[extver] - image.load_hdu(hdu) + # safety for a valid imexam file + if ((extv is None) and (extver is None)): + mef_file, nextend, first_image = util.check_valid(shortname) + extver = first_image # the extension of the first IMAGE + image = AstroImage(logger=self.logger) + + try: + if isinstance(fname, str): + with fits.open(shortname) as filedata: + hdu = filedata[extver] + image.load_hdu(hdu) + else: + if extver: + hdu = shortname[extver] + else: + hdu = shortname + image.load_hdu(hdu) + self._set_frameinfo(fname=shortname, hdu=hdu, image=image) + self.ginga_view.set_image(image) except Exception as e: - self.logger.error("Exception opening file: {0}".format(repr(e))) + self.logger.error("Exception loading image: {0}".format(repr(e))) raise Exception(repr(e)) - self._set_frameinfo(fname=shortname, hdu=hdu, image=image) - self.ginga_view.set_image(image) - def panto_image(self, x, y): """Change to x,y physical image coordinates. diff --git a/imexam/imexamine.py b/imexam/imexamine.py index 9f81ebd4..b5c3a588 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -19,6 +19,11 @@ from __future__ import print_function, division, absolute_import +import matplotlib.pyplot as plt +# turn on interactive mode for plotting +if not plt.isinteractive(): + plt.ion() + import warnings import numpy as np import sys @@ -26,7 +31,7 @@ import tempfile from copy import deepcopy -import matplotlib.pyplot as plt + from matplotlib import get_backend from IPython.display import Image @@ -50,10 +55,6 @@ else: PY3 = True -# turn on interactive mode for plotting -if not plt.isinteractive(): - plt.ion() - # enable display plot in iPython notebook try: from io import StringIO diff --git a/imexam/util.py b/imexam/util.py index 9df02003..80a23dcd 100644 --- a/imexam/util.py +++ b/imexam/util.py @@ -205,7 +205,7 @@ def check_valid(fits_data=None): ----- Drizzled images put a table in the first extension and an image in the zero extension, so this function checks for the first occurrance - of 'IMAGE' in 'XTENSION', which is a required keyword. + of 'IMAGE' in 'XTENSION', which is a required keyword. """ log = logging.getLogger(__name__) found_image = False # Does it contain an IMAGE XTENSION From 4526223076a3dd5262df7638d6d3ee1704542e0b Mon Sep 17 00:00:00 2001 From: Brigitta Sipocz Date: Wed, 12 Dec 2018 00:34:30 -0800 Subject: [PATCH 40/44] Updated astropy-helpers to v2.0.8 --- ah_bootstrap.py | 42 ++--- astropy_helpers | 2 +- ez_setup.py | 414 ------------------------------------------------ 3 files changed, 15 insertions(+), 443 deletions(-) delete mode 100644 ez_setup.py diff --git a/ah_bootstrap.py b/ah_bootstrap.py index e55254ee..2cea5bd7 100644 --- a/ah_bootstrap.py +++ b/ah_bootstrap.py @@ -38,7 +38,6 @@ import contextlib import errno -import imp import io import locale import os @@ -46,6 +45,13 @@ import subprocess as sp import sys +__minimum_python_version__ = (2, 7) + +if sys.version_info < __minimum_python_version__: + print("ERROR: Python {} or later is required by astropy-helpers".format( + __minimum_python_version__)) + sys.exit(1) + try: from ConfigParser import ConfigParser, RawConfigParser except ImportError: @@ -66,35 +72,15 @@ # issues with either missing or misbehaving pacakges (including making sure # setuptools itself is installed): +# Check that setuptools 1.0 or later is present +from distutils.version import LooseVersion -# Some pre-setuptools checks to ensure that either distribute or setuptools >= -# 0.7 is used (over pre-distribute setuptools) if it is available on the path; -# otherwise the latest setuptools will be downloaded and bootstrapped with -# ``ez_setup.py``. This used to be included in a separate file called -# setuptools_bootstrap.py; but it was combined into ah_bootstrap.py try: - import pkg_resources - _setuptools_req = pkg_resources.Requirement.parse('setuptools>=0.7') - # This may raise a DistributionNotFound in which case no version of - # setuptools or distribute is properly installed - _setuptools = pkg_resources.get_distribution('setuptools') - if _setuptools not in _setuptools_req: - # Older version of setuptools; check if we have distribute; again if - # this results in DistributionNotFound we want to give up - _distribute = pkg_resources.get_distribution('distribute') - if _setuptools != _distribute: - # It's possible on some pathological systems to have an old version - # of setuptools and distribute on sys.path simultaneously; make - # sure distribute is the one that's used - sys.path.insert(1, _distribute.location) - _distribute.activate() - imp.reload(pkg_resources) -except: - # There are several types of exceptions that can occur here; if all else - # fails bootstrap and use the bootstrapped version - from ez_setup import use_setuptools - use_setuptools() - + import setuptools + assert LooseVersion(setuptools.__version__) >= LooseVersion('1.0') +except (ImportError, AssertionError): + print("ERROR: setuptools 1.0 or later is required by astropy-helpers") + sys.exit(1) # typing as a dependency for 1.6.1+ Sphinx causes issues when imported after # initializing submodule with ah_boostrap.py diff --git a/astropy_helpers b/astropy_helpers index 5e30a46d..231c409a 160000 --- a/astropy_helpers +++ b/astropy_helpers @@ -1 +1 @@ -Subproject commit 5e30a46dd0146a241f5c7ca8de0cc0144455b2e1 +Subproject commit 231c409a632dcbf2beae1c2dea5b843d81ede511 diff --git a/ez_setup.py b/ez_setup.py deleted file mode 100644 index 800c31ef..00000000 --- a/ez_setup.py +++ /dev/null @@ -1,414 +0,0 @@ -#!/usr/bin/env python - -""" -Setuptools bootstrapping installer. - -Maintained at https://github.com/pypa/setuptools/tree/bootstrap. - -Run this script to install or upgrade setuptools. - -This method is DEPRECATED. Check https://github.com/pypa/setuptools/issues/581 for more details. -""" - -import os -import shutil -import sys -import tempfile -import zipfile -import optparse -import subprocess -import platform -import textwrap -import contextlib - -from distutils import log - -try: - from urllib.request import urlopen -except ImportError: - from urllib2 import urlopen - -try: - from site import USER_SITE -except ImportError: - USER_SITE = None - -# 33.1.1 is the last version that supports setuptools self upgrade/installation. -DEFAULT_VERSION = "33.1.1" -DEFAULT_URL = "https://pypi.io/packages/source/s/setuptools/" -DEFAULT_SAVE_DIR = os.curdir -DEFAULT_DEPRECATION_MESSAGE = "ez_setup.py is deprecated and when using it setuptools will be pinned to {0} since it's the last version that supports setuptools self upgrade/installation, check https://github.com/pypa/setuptools/issues/581 for more info; use pip to install setuptools" - -MEANINGFUL_INVALID_ZIP_ERR_MSG = 'Maybe {0} is corrupted, delete it and try again.' - -log.warn(DEFAULT_DEPRECATION_MESSAGE.format(DEFAULT_VERSION)) - - -def _python_cmd(*args): - """ - Execute a command. - - Return True if the command succeeded. - """ - args = (sys.executable,) + args - return subprocess.call(args) == 0 - - -def _install(archive_filename, install_args=()): - """Install Setuptools.""" - with archive_context(archive_filename): - # installing - log.warn('Installing Setuptools') - if not _python_cmd('setup.py', 'install', *install_args): - log.warn('Something went wrong during the installation.') - log.warn('See the error message above.') - # exitcode will be 2 - return 2 - - -def _build_egg(egg, archive_filename, to_dir): - """Build Setuptools egg.""" - with archive_context(archive_filename): - # building an egg - log.warn('Building a Setuptools egg in %s', to_dir) - _python_cmd('setup.py', '-q', 'bdist_egg', '--dist-dir', to_dir) - # returning the result - log.warn(egg) - if not os.path.exists(egg): - raise IOError('Could not build the egg.') - - -class ContextualZipFile(zipfile.ZipFile): - - """Supplement ZipFile class to support context manager for Python 2.6.""" - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - self.close() - - def __new__(cls, *args, **kwargs): - """Construct a ZipFile or ContextualZipFile as appropriate.""" - if hasattr(zipfile.ZipFile, '__exit__'): - return zipfile.ZipFile(*args, **kwargs) - return super(ContextualZipFile, cls).__new__(cls) - - -@contextlib.contextmanager -def archive_context(filename): - """ - Unzip filename to a temporary directory, set to the cwd. - - The unzipped target is cleaned up after. - """ - tmpdir = tempfile.mkdtemp() - log.warn('Extracting in %s', tmpdir) - old_wd = os.getcwd() - try: - os.chdir(tmpdir) - try: - with ContextualZipFile(filename) as archive: - archive.extractall() - except zipfile.BadZipfile as err: - if not err.args: - err.args = ('', ) - err.args = err.args + ( - MEANINGFUL_INVALID_ZIP_ERR_MSG.format(filename), - ) - raise - - # going in the directory - subdir = os.path.join(tmpdir, os.listdir(tmpdir)[0]) - os.chdir(subdir) - log.warn('Now working in %s', subdir) - yield - - finally: - os.chdir(old_wd) - shutil.rmtree(tmpdir) - - -def _do_download(version, download_base, to_dir, download_delay): - """Download Setuptools.""" - py_desig = 'py{sys.version_info[0]}.{sys.version_info[1]}'.format(sys=sys) - tp = 'setuptools-{version}-{py_desig}.egg' - egg = os.path.join(to_dir, tp.format(**locals())) - if not os.path.exists(egg): - archive = download_setuptools(version, download_base, - to_dir, download_delay) - _build_egg(egg, archive, to_dir) - sys.path.insert(0, egg) - - # Remove previously-imported pkg_resources if present (see - # https://bitbucket.org/pypa/setuptools/pull-request/7/ for details). - if 'pkg_resources' in sys.modules: - _unload_pkg_resources() - - import setuptools - setuptools.bootstrap_install_from = egg - - -def use_setuptools( - version=DEFAULT_VERSION, download_base=DEFAULT_URL, - to_dir=DEFAULT_SAVE_DIR, download_delay=15): - """ - Ensure that a setuptools version is installed. - - Return None. Raise SystemExit if the requested version - or later cannot be installed. - """ - to_dir = os.path.abspath(to_dir) - - # prior to importing, capture the module state for - # representative modules. - rep_modules = 'pkg_resources', 'setuptools' - imported = set(sys.modules).intersection(rep_modules) - - try: - import pkg_resources - pkg_resources.require("setuptools>=" + version) - # a suitable version is already installed - return - except ImportError: - # pkg_resources not available; setuptools is not installed; download - pass - except pkg_resources.DistributionNotFound: - # no version of setuptools was found; allow download - pass - except pkg_resources.VersionConflict as VC_err: - if imported: - _conflict_bail(VC_err, version) - - # otherwise, unload pkg_resources to allow the downloaded version to - # take precedence. - del pkg_resources - _unload_pkg_resources() - - return _do_download(version, download_base, to_dir, download_delay) - - -def _conflict_bail(VC_err, version): - """ - Setuptools was imported prior to invocation, so it is - unsafe to unload it. Bail out. - """ - conflict_tmpl = textwrap.dedent(""" - The required version of setuptools (>={version}) is not available, - and can't be installed while this script is running. Please - install a more recent version first, using - 'easy_install -U setuptools'. - - (Currently using {VC_err.args[0]!r}) - """) - msg = conflict_tmpl.format(**locals()) - sys.stderr.write(msg) - sys.exit(2) - - -def _unload_pkg_resources(): - sys.meta_path = [ - importer - for importer in sys.meta_path - if importer.__class__.__module__ != 'pkg_resources.extern' - ] - del_modules = [ - name for name in sys.modules - if name.startswith('pkg_resources') - ] - for mod_name in del_modules: - del sys.modules[mod_name] - - -def _clean_check(cmd, target): - """ - Run the command to download target. - - If the command fails, clean up before re-raising the error. - """ - try: - subprocess.check_call(cmd) - except subprocess.CalledProcessError: - if os.access(target, os.F_OK): - os.unlink(target) - raise - - -def download_file_powershell(url, target): - """ - Download the file at url to target using Powershell. - - Powershell will validate trust. - Raise an exception if the command cannot complete. - """ - target = os.path.abspath(target) - ps_cmd = ( - "[System.Net.WebRequest]::DefaultWebProxy.Credentials = " - "[System.Net.CredentialCache]::DefaultCredentials; " - '(new-object System.Net.WebClient).DownloadFile("%(url)s", "%(target)s")' - % locals() - ) - cmd = [ - 'powershell', - '-Command', - ps_cmd, - ] - _clean_check(cmd, target) - - -def has_powershell(): - """Determine if Powershell is available.""" - if platform.system() != 'Windows': - return False - cmd = ['powershell', '-Command', 'echo test'] - with open(os.path.devnull, 'wb') as devnull: - try: - subprocess.check_call(cmd, stdout=devnull, stderr=devnull) - except Exception: - return False - return True -download_file_powershell.viable = has_powershell - - -def download_file_curl(url, target): - cmd = ['curl', url, '--location', '--silent', '--output', target] - _clean_check(cmd, target) - - -def has_curl(): - cmd = ['curl', '--version'] - with open(os.path.devnull, 'wb') as devnull: - try: - subprocess.check_call(cmd, stdout=devnull, stderr=devnull) - except Exception: - return False - return True -download_file_curl.viable = has_curl - - -def download_file_wget(url, target): - cmd = ['wget', url, '--quiet', '--output-document', target] - _clean_check(cmd, target) - - -def has_wget(): - cmd = ['wget', '--version'] - with open(os.path.devnull, 'wb') as devnull: - try: - subprocess.check_call(cmd, stdout=devnull, stderr=devnull) - except Exception: - return False - return True -download_file_wget.viable = has_wget - - -def download_file_insecure(url, target): - """Use Python to download the file, without connection authentication.""" - src = urlopen(url) - try: - # Read all the data in one block. - data = src.read() - finally: - src.close() - - # Write all the data in one block to avoid creating a partial file. - with open(target, "wb") as dst: - dst.write(data) -download_file_insecure.viable = lambda: True - - -def get_best_downloader(): - downloaders = ( - download_file_powershell, - download_file_curl, - download_file_wget, - download_file_insecure, - ) - viable_downloaders = (dl for dl in downloaders if dl.viable()) - return next(viable_downloaders, None) - - -def download_setuptools( - version=DEFAULT_VERSION, download_base=DEFAULT_URL, - to_dir=DEFAULT_SAVE_DIR, delay=15, - downloader_factory=get_best_downloader): - """ - Download setuptools from a specified location and return its filename. - - `version` should be a valid setuptools version number that is available - as an sdist for download under the `download_base` URL (which should end - with a '/'). `to_dir` is the directory where the egg will be downloaded. - `delay` is the number of seconds to pause before an actual download - attempt. - - ``downloader_factory`` should be a function taking no arguments and - returning a function for downloading a URL to a target. - """ - # making sure we use the absolute path - to_dir = os.path.abspath(to_dir) - zip_name = "setuptools-%s.zip" % version - url = download_base + zip_name - saveto = os.path.join(to_dir, zip_name) - if not os.path.exists(saveto): # Avoid repeated downloads - log.warn("Downloading %s", url) - downloader = downloader_factory() - downloader(url, saveto) - return os.path.realpath(saveto) - - -def _build_install_args(options): - """ - Build the arguments to 'python setup.py install' on the setuptools package. - - Returns list of command line arguments. - """ - return ['--user'] if options.user_install else [] - - -def _parse_args(): - """Parse the command line for options.""" - parser = optparse.OptionParser() - parser.add_option( - '--user', dest='user_install', action='store_true', default=False, - help='install in user site package') - parser.add_option( - '--download-base', dest='download_base', metavar="URL", - default=DEFAULT_URL, - help='alternative URL from where to download the setuptools package') - parser.add_option( - '--insecure', dest='downloader_factory', action='store_const', - const=lambda: download_file_insecure, default=get_best_downloader, - help='Use internal, non-validating downloader' - ) - parser.add_option( - '--version', help="Specify which version to download", - default=DEFAULT_VERSION, - ) - parser.add_option( - '--to-dir', - help="Directory to save (and re-use) package", - default=DEFAULT_SAVE_DIR, - ) - options, args = parser.parse_args() - # positional arguments are ignored - return options - - -def _download_args(options): - """Return args for download_setuptools function from cmdline args.""" - return dict( - version=options.version, - download_base=options.download_base, - downloader_factory=options.downloader_factory, - to_dir=options.to_dir, - ) - - -def main(): - """Install or upgrade setuptools and EasyInstall.""" - options = _parse_args() - archive = download_setuptools(**_download_args(options)) - return _install(archive, _build_install_args(options)) - -if __name__ == '__main__': - sys.exit(main()) From 6c8913159ae28c23d54f926ce033542410a30d69 Mon Sep 17 00:00:00 2001 From: Brigitta Sipocz Date: Wed, 12 Dec 2018 00:34:30 -0800 Subject: [PATCH 41/44] Updated astropy-helpers to v2.0.8 --- ah_bootstrap.py | 42 ++--- astropy_helpers | 2 +- ez_setup.py | 414 ------------------------------------------------ 3 files changed, 15 insertions(+), 443 deletions(-) delete mode 100644 ez_setup.py diff --git a/ah_bootstrap.py b/ah_bootstrap.py index e55254ee..2cea5bd7 100644 --- a/ah_bootstrap.py +++ b/ah_bootstrap.py @@ -38,7 +38,6 @@ import contextlib import errno -import imp import io import locale import os @@ -46,6 +45,13 @@ import subprocess as sp import sys +__minimum_python_version__ = (2, 7) + +if sys.version_info < __minimum_python_version__: + print("ERROR: Python {} or later is required by astropy-helpers".format( + __minimum_python_version__)) + sys.exit(1) + try: from ConfigParser import ConfigParser, RawConfigParser except ImportError: @@ -66,35 +72,15 @@ # issues with either missing or misbehaving pacakges (including making sure # setuptools itself is installed): +# Check that setuptools 1.0 or later is present +from distutils.version import LooseVersion -# Some pre-setuptools checks to ensure that either distribute or setuptools >= -# 0.7 is used (over pre-distribute setuptools) if it is available on the path; -# otherwise the latest setuptools will be downloaded and bootstrapped with -# ``ez_setup.py``. This used to be included in a separate file called -# setuptools_bootstrap.py; but it was combined into ah_bootstrap.py try: - import pkg_resources - _setuptools_req = pkg_resources.Requirement.parse('setuptools>=0.7') - # This may raise a DistributionNotFound in which case no version of - # setuptools or distribute is properly installed - _setuptools = pkg_resources.get_distribution('setuptools') - if _setuptools not in _setuptools_req: - # Older version of setuptools; check if we have distribute; again if - # this results in DistributionNotFound we want to give up - _distribute = pkg_resources.get_distribution('distribute') - if _setuptools != _distribute: - # It's possible on some pathological systems to have an old version - # of setuptools and distribute on sys.path simultaneously; make - # sure distribute is the one that's used - sys.path.insert(1, _distribute.location) - _distribute.activate() - imp.reload(pkg_resources) -except: - # There are several types of exceptions that can occur here; if all else - # fails bootstrap and use the bootstrapped version - from ez_setup import use_setuptools - use_setuptools() - + import setuptools + assert LooseVersion(setuptools.__version__) >= LooseVersion('1.0') +except (ImportError, AssertionError): + print("ERROR: setuptools 1.0 or later is required by astropy-helpers") + sys.exit(1) # typing as a dependency for 1.6.1+ Sphinx causes issues when imported after # initializing submodule with ah_boostrap.py diff --git a/astropy_helpers b/astropy_helpers index 5e30a46d..231c409a 160000 --- a/astropy_helpers +++ b/astropy_helpers @@ -1 +1 @@ -Subproject commit 5e30a46dd0146a241f5c7ca8de0cc0144455b2e1 +Subproject commit 231c409a632dcbf2beae1c2dea5b843d81ede511 diff --git a/ez_setup.py b/ez_setup.py deleted file mode 100644 index 800c31ef..00000000 --- a/ez_setup.py +++ /dev/null @@ -1,414 +0,0 @@ -#!/usr/bin/env python - -""" -Setuptools bootstrapping installer. - -Maintained at https://github.com/pypa/setuptools/tree/bootstrap. - -Run this script to install or upgrade setuptools. - -This method is DEPRECATED. Check https://github.com/pypa/setuptools/issues/581 for more details. -""" - -import os -import shutil -import sys -import tempfile -import zipfile -import optparse -import subprocess -import platform -import textwrap -import contextlib - -from distutils import log - -try: - from urllib.request import urlopen -except ImportError: - from urllib2 import urlopen - -try: - from site import USER_SITE -except ImportError: - USER_SITE = None - -# 33.1.1 is the last version that supports setuptools self upgrade/installation. -DEFAULT_VERSION = "33.1.1" -DEFAULT_URL = "https://pypi.io/packages/source/s/setuptools/" -DEFAULT_SAVE_DIR = os.curdir -DEFAULT_DEPRECATION_MESSAGE = "ez_setup.py is deprecated and when using it setuptools will be pinned to {0} since it's the last version that supports setuptools self upgrade/installation, check https://github.com/pypa/setuptools/issues/581 for more info; use pip to install setuptools" - -MEANINGFUL_INVALID_ZIP_ERR_MSG = 'Maybe {0} is corrupted, delete it and try again.' - -log.warn(DEFAULT_DEPRECATION_MESSAGE.format(DEFAULT_VERSION)) - - -def _python_cmd(*args): - """ - Execute a command. - - Return True if the command succeeded. - """ - args = (sys.executable,) + args - return subprocess.call(args) == 0 - - -def _install(archive_filename, install_args=()): - """Install Setuptools.""" - with archive_context(archive_filename): - # installing - log.warn('Installing Setuptools') - if not _python_cmd('setup.py', 'install', *install_args): - log.warn('Something went wrong during the installation.') - log.warn('See the error message above.') - # exitcode will be 2 - return 2 - - -def _build_egg(egg, archive_filename, to_dir): - """Build Setuptools egg.""" - with archive_context(archive_filename): - # building an egg - log.warn('Building a Setuptools egg in %s', to_dir) - _python_cmd('setup.py', '-q', 'bdist_egg', '--dist-dir', to_dir) - # returning the result - log.warn(egg) - if not os.path.exists(egg): - raise IOError('Could not build the egg.') - - -class ContextualZipFile(zipfile.ZipFile): - - """Supplement ZipFile class to support context manager for Python 2.6.""" - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - self.close() - - def __new__(cls, *args, **kwargs): - """Construct a ZipFile or ContextualZipFile as appropriate.""" - if hasattr(zipfile.ZipFile, '__exit__'): - return zipfile.ZipFile(*args, **kwargs) - return super(ContextualZipFile, cls).__new__(cls) - - -@contextlib.contextmanager -def archive_context(filename): - """ - Unzip filename to a temporary directory, set to the cwd. - - The unzipped target is cleaned up after. - """ - tmpdir = tempfile.mkdtemp() - log.warn('Extracting in %s', tmpdir) - old_wd = os.getcwd() - try: - os.chdir(tmpdir) - try: - with ContextualZipFile(filename) as archive: - archive.extractall() - except zipfile.BadZipfile as err: - if not err.args: - err.args = ('', ) - err.args = err.args + ( - MEANINGFUL_INVALID_ZIP_ERR_MSG.format(filename), - ) - raise - - # going in the directory - subdir = os.path.join(tmpdir, os.listdir(tmpdir)[0]) - os.chdir(subdir) - log.warn('Now working in %s', subdir) - yield - - finally: - os.chdir(old_wd) - shutil.rmtree(tmpdir) - - -def _do_download(version, download_base, to_dir, download_delay): - """Download Setuptools.""" - py_desig = 'py{sys.version_info[0]}.{sys.version_info[1]}'.format(sys=sys) - tp = 'setuptools-{version}-{py_desig}.egg' - egg = os.path.join(to_dir, tp.format(**locals())) - if not os.path.exists(egg): - archive = download_setuptools(version, download_base, - to_dir, download_delay) - _build_egg(egg, archive, to_dir) - sys.path.insert(0, egg) - - # Remove previously-imported pkg_resources if present (see - # https://bitbucket.org/pypa/setuptools/pull-request/7/ for details). - if 'pkg_resources' in sys.modules: - _unload_pkg_resources() - - import setuptools - setuptools.bootstrap_install_from = egg - - -def use_setuptools( - version=DEFAULT_VERSION, download_base=DEFAULT_URL, - to_dir=DEFAULT_SAVE_DIR, download_delay=15): - """ - Ensure that a setuptools version is installed. - - Return None. Raise SystemExit if the requested version - or later cannot be installed. - """ - to_dir = os.path.abspath(to_dir) - - # prior to importing, capture the module state for - # representative modules. - rep_modules = 'pkg_resources', 'setuptools' - imported = set(sys.modules).intersection(rep_modules) - - try: - import pkg_resources - pkg_resources.require("setuptools>=" + version) - # a suitable version is already installed - return - except ImportError: - # pkg_resources not available; setuptools is not installed; download - pass - except pkg_resources.DistributionNotFound: - # no version of setuptools was found; allow download - pass - except pkg_resources.VersionConflict as VC_err: - if imported: - _conflict_bail(VC_err, version) - - # otherwise, unload pkg_resources to allow the downloaded version to - # take precedence. - del pkg_resources - _unload_pkg_resources() - - return _do_download(version, download_base, to_dir, download_delay) - - -def _conflict_bail(VC_err, version): - """ - Setuptools was imported prior to invocation, so it is - unsafe to unload it. Bail out. - """ - conflict_tmpl = textwrap.dedent(""" - The required version of setuptools (>={version}) is not available, - and can't be installed while this script is running. Please - install a more recent version first, using - 'easy_install -U setuptools'. - - (Currently using {VC_err.args[0]!r}) - """) - msg = conflict_tmpl.format(**locals()) - sys.stderr.write(msg) - sys.exit(2) - - -def _unload_pkg_resources(): - sys.meta_path = [ - importer - for importer in sys.meta_path - if importer.__class__.__module__ != 'pkg_resources.extern' - ] - del_modules = [ - name for name in sys.modules - if name.startswith('pkg_resources') - ] - for mod_name in del_modules: - del sys.modules[mod_name] - - -def _clean_check(cmd, target): - """ - Run the command to download target. - - If the command fails, clean up before re-raising the error. - """ - try: - subprocess.check_call(cmd) - except subprocess.CalledProcessError: - if os.access(target, os.F_OK): - os.unlink(target) - raise - - -def download_file_powershell(url, target): - """ - Download the file at url to target using Powershell. - - Powershell will validate trust. - Raise an exception if the command cannot complete. - """ - target = os.path.abspath(target) - ps_cmd = ( - "[System.Net.WebRequest]::DefaultWebProxy.Credentials = " - "[System.Net.CredentialCache]::DefaultCredentials; " - '(new-object System.Net.WebClient).DownloadFile("%(url)s", "%(target)s")' - % locals() - ) - cmd = [ - 'powershell', - '-Command', - ps_cmd, - ] - _clean_check(cmd, target) - - -def has_powershell(): - """Determine if Powershell is available.""" - if platform.system() != 'Windows': - return False - cmd = ['powershell', '-Command', 'echo test'] - with open(os.path.devnull, 'wb') as devnull: - try: - subprocess.check_call(cmd, stdout=devnull, stderr=devnull) - except Exception: - return False - return True -download_file_powershell.viable = has_powershell - - -def download_file_curl(url, target): - cmd = ['curl', url, '--location', '--silent', '--output', target] - _clean_check(cmd, target) - - -def has_curl(): - cmd = ['curl', '--version'] - with open(os.path.devnull, 'wb') as devnull: - try: - subprocess.check_call(cmd, stdout=devnull, stderr=devnull) - except Exception: - return False - return True -download_file_curl.viable = has_curl - - -def download_file_wget(url, target): - cmd = ['wget', url, '--quiet', '--output-document', target] - _clean_check(cmd, target) - - -def has_wget(): - cmd = ['wget', '--version'] - with open(os.path.devnull, 'wb') as devnull: - try: - subprocess.check_call(cmd, stdout=devnull, stderr=devnull) - except Exception: - return False - return True -download_file_wget.viable = has_wget - - -def download_file_insecure(url, target): - """Use Python to download the file, without connection authentication.""" - src = urlopen(url) - try: - # Read all the data in one block. - data = src.read() - finally: - src.close() - - # Write all the data in one block to avoid creating a partial file. - with open(target, "wb") as dst: - dst.write(data) -download_file_insecure.viable = lambda: True - - -def get_best_downloader(): - downloaders = ( - download_file_powershell, - download_file_curl, - download_file_wget, - download_file_insecure, - ) - viable_downloaders = (dl for dl in downloaders if dl.viable()) - return next(viable_downloaders, None) - - -def download_setuptools( - version=DEFAULT_VERSION, download_base=DEFAULT_URL, - to_dir=DEFAULT_SAVE_DIR, delay=15, - downloader_factory=get_best_downloader): - """ - Download setuptools from a specified location and return its filename. - - `version` should be a valid setuptools version number that is available - as an sdist for download under the `download_base` URL (which should end - with a '/'). `to_dir` is the directory where the egg will be downloaded. - `delay` is the number of seconds to pause before an actual download - attempt. - - ``downloader_factory`` should be a function taking no arguments and - returning a function for downloading a URL to a target. - """ - # making sure we use the absolute path - to_dir = os.path.abspath(to_dir) - zip_name = "setuptools-%s.zip" % version - url = download_base + zip_name - saveto = os.path.join(to_dir, zip_name) - if not os.path.exists(saveto): # Avoid repeated downloads - log.warn("Downloading %s", url) - downloader = downloader_factory() - downloader(url, saveto) - return os.path.realpath(saveto) - - -def _build_install_args(options): - """ - Build the arguments to 'python setup.py install' on the setuptools package. - - Returns list of command line arguments. - """ - return ['--user'] if options.user_install else [] - - -def _parse_args(): - """Parse the command line for options.""" - parser = optparse.OptionParser() - parser.add_option( - '--user', dest='user_install', action='store_true', default=False, - help='install in user site package') - parser.add_option( - '--download-base', dest='download_base', metavar="URL", - default=DEFAULT_URL, - help='alternative URL from where to download the setuptools package') - parser.add_option( - '--insecure', dest='downloader_factory', action='store_const', - const=lambda: download_file_insecure, default=get_best_downloader, - help='Use internal, non-validating downloader' - ) - parser.add_option( - '--version', help="Specify which version to download", - default=DEFAULT_VERSION, - ) - parser.add_option( - '--to-dir', - help="Directory to save (and re-use) package", - default=DEFAULT_SAVE_DIR, - ) - options, args = parser.parse_args() - # positional arguments are ignored - return options - - -def _download_args(options): - """Return args for download_setuptools function from cmdline args.""" - return dict( - version=options.version, - download_base=options.download_base, - downloader_factory=options.downloader_factory, - to_dir=options.to_dir, - ) - - -def main(): - """Install or upgrade setuptools and EasyInstall.""" - options = _parse_args() - archive = download_setuptools(**_download_args(options)) - return _install(archive, _build_install_args(options)) - -if __name__ == '__main__': - sys.exit(main()) From 19075b398d1bc6c61423b77261975f050aaef35f Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 14 Dec 2018 11:28:40 -0500 Subject: [PATCH 42/44] remove unused function showplt --- README.rst | 23 +++++++++++++++++++++-- docs/imexam/description.rst | 2 +- docs/imexam/example5.rst | 4 ++-- imexam/imexamine.py | 10 ---------- 4 files changed, 24 insertions(+), 15 deletions(-) diff --git a/README.rst b/README.rst index 07b14d90..12e6b903 100644 --- a/README.rst +++ b/README.rst @@ -90,7 +90,9 @@ inside ~/.matplotlib/matplotlibrc: Using the Ginga HTML5 Viewer ---------------------------- -If you have installed Ginga, you can use the HTML5 viewer for image display with either a python terminal, jupyter console, qtconsole or Jypyter notebook session. If you are using a Windows machine you should install ginga to use as the viewer with this package. Make sure that you have installed the latest version, or you can download the development code here: https://github.com/ejeschke/ginga. There's also a new ginga plugin for imexam which is in the ginga repository in the experimental directory. This will load the imexam plotting and analysis library into the ginga gui framework. +If you have installed Ginga, you can use the HTML5 viewer for image display with either a jupyter console, qtconsole or Jypyter notebook session. If you are using a Windows machine you should install ginga to use as the viewer with this package. Make sure that you have installed the latest version, or you can download the development code here: https://github.com/ejeschke/ginga. + +There is also a ginga plugin for imexam which is in the ginga repository in the experimental directory. This will load the imexam plotting and analysis library into the ginga gui framework. Starting a connection to a Ginga HTML5 canvas backend for browser and Jupyter viewing: @@ -105,9 +107,26 @@ You can optionally provide a port number to which the viewer is connected as wel a=imexam.connect(viewer='ginga', port=9856) +Using imexam with DS9 +--------------------- +From a python terminal: using either the TkAGG or QT4Agg/QT5Agg backends: + +:: + import imexam + a = imexam.connect() + a.imexam() + +From an ipython terminal: using either the TkAgg or QT4Agg/QT5Agg backends. + +:: + import imexam + a = imexam.connect() + +If you are using TkAGG as the backend, in from an ipython terminal, you may need to ctrl-D out to closeout the plotting window. This should not happen if you are running TkAgg and running from a regular python terminal. + Launching multiple DS9 windows ------------------------------- +============================== You can launch multiple ds9 windows either from this package or the command line. DS9 can be used to view images and arrays from any of the python terminals, consoles or the Jupyter notebook. diff --git a/docs/imexam/description.rst b/docs/imexam/description.rst index 65039937..82089584 100644 --- a/docs/imexam/description.rst +++ b/docs/imexam/description.rst @@ -268,7 +268,7 @@ If you are having display issues, some build problems may exist with the depende backend: Qt4Agg -The package works with the Qt5Agg and notebook backends, but on occasion I've seen the matplotlib window take two cycles to update, especially inside the Jupyter notebook with inline plots, meaning you may have to hit the exam key twice for the plot to appear. This issue still needs to be worked out, if you're running into it try using the Qt4Agg backend or plotting outside the notebook and saving the figures through the imexam grab or save calls. +The package works with the Qt5Agg and notebook backends, but on occasion I've seen the matplotlib window take two cycles to update, especially inside the Jupyter notebook with inline plots, meaning you may have to hit the exam key twice for the plot to appear. This issue still needs to be worked out, if you're running into it try using the Qt4Agg backend or plotting outside the notebook and saving the figures through the imexam grab or save calls. More information about the backends for matplotlib can be found here: https://matplotlib.org/users/shell.html If you get an error about not finding the file "import" when you use the grab() function to save a copy of the DS9 window. diff --git a/docs/imexam/example5.rst b/docs/imexam/example5.rst index d4f4667b..e702c09f 100644 --- a/docs/imexam/example5.rst +++ b/docs/imexam/example5.rst @@ -25,13 +25,13 @@ These are the functions you now have access to: plots.aper_phot plots.contour_plot plots.histogram_plot plots.plot_line plots.set_colplot_pars plots.set_surface_pars plots.aperphot_def_pars plots.curve_of_growth_def_pars plots.imexam_option_funcs plots.plot_name plots.set_column_fit_pars plots.show_xy_coords - plots.aperphot_pars plots.curve_of_growth_pars plots.line_fit plots.print_options plots.set_contour_pars plots.showplt + plots.aperphot_pars plots.curve_of_growth_pars plots.line_fit plots.print_options plots.set_contour_pars plots.set_plot_name plots.colplot_def_pars plots.curve_of_growth_plot plots.line_fit_def_pars plots.register plots.set_data plots.sleep_time plots.colplot_pars plots.do_option plots.line_fit_pars plots.report_stat plots.set_histogram_pars plots.surface_def_pars plots.column_fit plots.gauss_center plots.lineplot_def_pars plots.report_stat_def_pars plots.set_line_fit_pars plots.surface_pars plots.column_fit_def_pars plots.get_options plots.lineplot_pars plots.report_stat_pars plots.set_lineplot_pars plots.surface_plot plots.column_fit_pars plots.get_plot_name plots.new_plot_window plots.reset_defpars plots.set_option_funcs plots.unlearn_all - plots.contour_def_pars plots.histogram_def_pars plots.option_descrip plots.save_figure plots.set_plot_name + plots.contour_def_pars plots.histogram_def_pars plots.option_descrip plots.save_figure plots.contour_pars plots.histogram_pars plots.plot_column plots.set_aperphot_pars plots.set_radial_pars diff --git a/imexam/imexamine.py b/imexam/imexamine.py index b5c3a588..edecb55d 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -33,7 +33,6 @@ from matplotlib import get_backend -from IPython.display import Image from astropy.io import fits from astropy.modeling import models @@ -1695,15 +1694,6 @@ def _add_user_function(cls, func): return setattr(cls, func.__name__, types.MethodType(func, None, cls)) - def showplt(self): - """Show the plot.""" - buf = StringIO.StringIO() - plt.savefig(buf, bbox_inches=0) - img = Image(data=bytes(buf.getvalue()), - format='png', embed=True) - buf.close() - return img - def set_aper_phot_pars(self, user_dict=None): """the user may supply a dictionary of par settings.""" if not user_dict: From f587d30bb585b92d21e83842e348c044b97cff6e Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 14 Dec 2018 13:01:52 -0500 Subject: [PATCH 43/44] update of readme and plotting defaults --- README.rst | 94 ++++++++++++++++++++++++---------------- imexam/imexam_defpars.py | 2 +- imexam/imexamine.py | 7 +-- 3 files changed, 61 insertions(+), 42 deletions(-) diff --git a/README.rst b/README.rst index 12e6b903..d85d000e 100644 --- a/README.rst +++ b/README.rst @@ -78,19 +78,51 @@ Try turning off the resume state: defaults write org.python.python ApplePersistenceIgnoreState NO -If you are having display issues, some build problems may exist with the dependency packages which deal with backend graphics, try setting your matplotlib backend to Qt4Agg. You can set this in your .matplotlib/matplotlibrc file. You may also want to switch your matplotlib backend to Qt if you have a mac with the default MacOS backend specified. If you don't already have matplotlibrc file in your home directory, you can download one from their documentation: http://matplotlib.org/_static/matplotlibrc + +Contributing +============ +Please open a new issue or new pull request for bugs, feedback, or new features +you would like to see. If there is an issue you would like to work on, please +leave a comment and we will be happy to assist. New contributions and +contributors are very welcome! + +New to github or open source projects? If you are unsure about where to start +or haven't used github before, please feel free to contact `@sosey`. +Want more information about how to make a contribution? Take a look at +the astropy `contributing`_ and `developer`_ documentation. + +Feedback and feature requests? Is there something missing you would like +to see? Please open an issue or send an email to `@sosey`. imexam follows the `Astropy Code of Conduct`_ and strives to provide a +welcoming community to all of our users and contributors. + + +License +======= +imexam is licensed under a 3-clause BSD style license (see the +``licenses/LICENSE.rst`` file). + +.. _AstroPy: http://www.astropy.org/ +.. _contributing: http://docs.astropy.org/en/stable/index.html#contributing +.. _developer: http://docs.astropy.org/en/stable/index.html#developer-documentation +.. _Astropy Code of Conduct: http://www.astropy.org/about.html#codeofconduct + + + +Quick Instructions +================== +If you are having display issues, and you are using TkAgg, try setting your matplotlib backend to Qt4Agg or Qt5Agg. You can set this in your .matplotlib/matplotlibrc file. You may also want to switch your matplotlib backend to Qt if you have a mac with the default MacOS backend specified. If you don't already have matplotlibrc file in your home directory, you can download one from their documentation: http://matplotlib.org/_static/matplotlibrc + :: -inside ~/.matplotlib/matplotlibrc: + inside ~/.matplotlib/matplotlibrc: backend: Qt4Agg - Using the Ginga HTML5 Viewer ---------------------------- -If you have installed Ginga, you can use the HTML5 viewer for image display with either a jupyter console, qtconsole or Jypyter notebook session. If you are using a Windows machine you should install ginga to use as the viewer with this package. Make sure that you have installed the latest version, or you can download the development code here: https://github.com/ejeschke/ginga. +If you have installed Ginga, you can use the HTML5 viewer for image display with either a jupyter console, qtconsole or Jupyter notebook session. If you are using a Windows machine you should install ginga to use as the viewer with this package. Make sure that you have installed the latest version, or you can download the development code here: https://github.com/ejeschke/ginga. There is also a ginga plugin for imexam which is in the ginga repository in the experimental directory. This will load the imexam plotting and analysis library into the ginga gui framework. @@ -98,7 +130,7 @@ Starting a connection to a Ginga HTML5 canvas backend for browser and Jupyter vi :: - a=imexam.connect(viewer='ginga') + a = imexam.connect(viewer='ginga') You can optionally provide a port number to which the viewer is connected as well: @@ -111,7 +143,9 @@ Using imexam with DS9 --------------------- From a python terminal: using either the TkAGG or QT4Agg/QT5Agg backends: + :: + import imexam a = imexam.connect() a.imexam() @@ -119,15 +153,25 @@ From a python terminal: using either the TkAGG or QT4Agg/QT5Agg backends: From an ipython terminal: using either the TkAgg or QT4Agg/QT5Agg backends. :: + import imexam a = imexam.connect() -If you are using TkAGG as the backend, in from an ipython terminal, you may need to ctrl-D out to closeout the plotting window. This should not happen if you are running TkAgg and running from a regular python terminal. +If you are using TkAGG as the backend, from an ipython terminal, you may need to ctrl-D, then select n, to closeout the plotting window. This should not happen if you are running TkAgg and running from a regular python terminal. Looking into the closeout issue with TkAgg now. +From jupyter console/qtconsole: startup with the matplotlib magics to use the backend you specified for display: + +:: + + In [1]: %matplotlib + import imexam + a = imexam.connect() + +If you are using the Qt4Agg/Qt5Agg backend with ginga, the plots will display in the console window -Launching multiple DS9 windows -============================== +Launching multiple DS9 windows +------------------------------ You can launch multiple ds9 windows either from this package or the command line. DS9 can be used to view images and arrays from any of the python terminals, consoles or the Jupyter notebook. If you launch ds9 from outside the imexam package, you need supply the name of the window to imexam, this can be done in one of 2 ways: @@ -175,7 +219,10 @@ Connecting to a DS9 window which was started from the system prompt: Examples can be found in the package documentation, online documentation, and imexam.display_help() will pull up the installed package documentation in a web browser. You can also download the examply Jupyter notebooks available in the example_notebooks directory above. -You can also just load the plotting library and NOT connect to any viewer: +You can also just load the plotting library for use without a viewer: +--------------------------------------------------------------------- +This is useful when you want to make batch plots or return information from scripts. +You can also save the lotting data returned and use it futher, or design your own plot. :: @@ -191,32 +238,3 @@ You can also just load the plotting library and NOT connect to any viewer: plots.set_data(data) plots.plot_line(35,45) - -Contributing ------------- - -Please open a new issue or new pull request for bugs, feedback, or new features -you would like to see. If there is an issue you would like to work on, please -leave a comment and we will be happy to assist. New contributions and -contributors are very welcome! - -New to github or open source projects? If you are unsure about where to start -or haven't used github before, please feel free to contact `@sosey`. -Want more information about how to make a contribution? Take a look at -the astropy `contributing`_ and `developer`_ documentation. - -Feedback and feature requests? Is there something missing you would like -to see? Please open an issue or send an email to `@sosey`. imexam follows the `Astropy Code of Conduct`_ and strives to provide a -welcoming community to all of our users and contributors. - - -License -------- - -imexam is licensed under a 3-clause BSD style license (see the -``licenses/LICENSE.rst`` file). - -.. _AstroPy: http://www.astropy.org/ -.. _contributing: http://docs.astropy.org/en/stable/index.html#contributing -.. _developer: http://docs.astropy.org/en/stable/index.html#developer-documentation -.. _Astropy Code of Conduct: http://www.astropy.org/about.html#codeofconduct diff --git a/imexam/imexam_defpars.py b/imexam/imexam_defpars.py index 06512bb7..64466c57 100644 --- a/imexam/imexam_defpars.py +++ b/imexam/imexam_defpars.py @@ -131,7 +131,7 @@ "floor": [None, "Minimum value to be contoured"], "ceiling": [None, "Maximum value to be contoured"], "ncontours": [8, "Number of contours to be drawn"], - "linestyle": ["--", "matplotlib linestyle"], + "linestyles": ["--", "matplotlib linestyle"], "label": [True, "Label major contours with their values? [bool]"], "cmap": ["viridis", "Colormap (matplotlib style) for image"], } diff --git a/imexam/imexamine.py b/imexam/imexamine.py index edecb55d..80458465 100644 --- a/imexam/imexamine.py +++ b/imexam/imexamine.py @@ -21,6 +21,7 @@ import matplotlib.pyplot as plt # turn on interactive mode for plotting +# so that plt.show becomes non-blocking if not plt.isinteractive(): plt.ion() @@ -1478,7 +1479,7 @@ def contour(self, x, y, data=None, fig=None): ax.set_ylabel(self.contour_pars["ylabel"][0]) ncont = self.contour_pars["ncontours"][0] colormap = self.contour_pars["cmap"][0] - lsty = self.contour_pars["linestyle"][0] + lsty = self.contour_pars["linestyles"][0] self.log.info("contour centered at: {0} {1}".format(x, y)) deltax = int(self.contour_pars["ncolumns"][0] / 2.) @@ -1497,9 +1498,9 @@ def contour(self, x, y, data=None, fig=None): Y, data_cut, ncont, - linewidth=.5, + linewidths=.5, colors='black', - linestyle=lsty) + linestyles=lsty) # make the filled contour ax.contourf(X, Y, data_cut, ncont, alpha=.75, cmap=colormap) if self.contour_pars["label"][0]: From 786ad462249c930595a0dd66c84a3066a77f90a0 Mon Sep 17 00:00:00 2001 From: Megan Sosey Date: Fri, 14 Dec 2018 14:42:55 -0500 Subject: [PATCH 44/44] updated changes for v0.8.1 release --- CHANGES.rst | 40 ++++++++++++++++++++-------------------- setup.py | 2 +- 2 files changed, 21 insertions(+), 21 deletions(-) diff --git a/CHANGES.rst b/CHANGES.rst index 3e6d60e7..0d2d7f3d 100644 --- a/CHANGES.rst +++ b/CHANGES.rst @@ -1,5 +1,5 @@ -version 0.8.1dev (unreleased) ------------------------------ +version 0.8.1 (2018-12-14) +-------------------------- ** THIS WILL BE THE LAST VERSION THAT SUPPORT Python 2.7 ** - travis and appveyor testing updates @@ -19,8 +19,8 @@ version 0.8.1dev (unreleased) - replaced the sigma to fwhm lambda with the astropy constant for conversion - added cursor move recognition using the arrow keys during the imexam loop, however, depending how the user has their windowing focus set, the DS9 window may loose focus, forcing them to move the cursor manually back to the window. Cursor moves are only implemented for DS9, not Ginga. -version 0.8.0 (released) ------------------------- +version 0.8.0 (2017-11-06) +-------------------------- - fixed show_xpa_commands bug sending None instead of empty string to the xpa library - fixed logic of connect method. When a target is given, do not look @@ -29,14 +29,14 @@ version 0.8.0 (released) - logic bug in ds9 class init updated to warn when user specified target doesn't exist -version 0.7.1 (released) ------------------------------ +version 0.7.1 (2017-02-06) +-------------------------- - fixed xpa bug holdout from updating for windows specific code - changed default connection type from local to inet when XPA_METHOD not specified in users environment -version 0.7.0 (released) ------------------------------ +version 0.7.0 (2017-01-19) +-------------------------- - fixed a text error in the display_help() so that now the correct version loads the documentation - Windows users can now install from source. The setup will ignore the cython and xpa necessary to build the DS9 interaction, and users will only be able to use the Ginga HTML5 window, they can also use the Imexamine() functions without any graphical interface. - Documentation updates, mostly specific information for Windows users @@ -58,8 +58,8 @@ version 0.6.4dev (unreleased) - fixed bug in fits loader for ds9 multi-extension FITS files, made load_fits() prefer the extension specified in the key rather than the image name -version 0.6.3 (released) ------------------------- +version 0.6.3 (2017-01-01) +-------------------------- - Logging was updated to fix bugs as well allow for more user control of the log files. Additionally, most prints were moved to the stdout stream handler so that users could also shut off messages to the screen - The imexamine class was updated so that analysis functions could be more easily called by external entities. This was primarily to support ginga plugins, and a new imexam plugin for ginga. - A dictionary is now returned to the user when they request information on the active DS9 windows which are available. @@ -68,14 +68,14 @@ version 0.6.3 (released) - Fixed bug with loading user specified fits extensions for both ginga and ds9 -version 0.6.2 (released) ------------------------- +version 0.6.2 (2016-08-10) +-------------------------- - Unbinned radial plots were added, bins are still an available option - documentation updates -version 0.6dev (unreleased) ---------------------------- +version 0.6.1 (2016-07-16) +-------------------------- - Ginga viewer support for images in matplotlib and QT backend removed, but replaced with HTML5 canvas viewer which is faster and simpler for users to both use and install. - replaced custom fits with astropy.modeling, enabling Gaussian2d, Gaussian1d, Moffat1D and MexicanHat1D fits for lines and centering - General bug fixes and documentation updates, including example jupyter notebooks @@ -95,18 +95,18 @@ version 0.5.3dev (unreleased) - added a radial profile plot under the r key, the curve of growth plot was moved to g -version 0.5.2 (released) ------------------------- +version 0.5.2 (2016-01-29) +-------------------------- - windows build change -version 0.5.1 (released) ------------------------ +version 0.5.1 (2016-01-29) +-------------------------- - version upgraded needed for the release on pypi so it would accept the upload -version 0.5 (released) ----------------------- +version 0.5 (2015-05-01) +------------------------ - Ginga viewer with matplotlib backend fully flushed out, this uses an event driven examination which is activated by key-press diff --git a/setup.py b/setup.py index 2fdc4cf3..cf4ed5b2 100644 --- a/setup.py +++ b/setup.py @@ -65,7 +65,7 @@ # VERSION should be PEP386 compatible (http://www.python.org/dev/peps/pep-0386) -VERSION = '0.8.1dev' +VERSION = '0.8.1' # Indicates if this version is a release version RELEASE = 'dev' not in VERSION