Sympy Plot Backends v1.2.1

What's Changed

• Added used_by_default inside default options for adaptive algorithm. This let the user decide wheter to use adaptive algorithm or uniform meshing by default for line plots.

• Fix the axis labels for the plot_complex_vector function.

• Improved a few examples in the docstring of plot_vector and plot_complex_vector.

• Fixed bug with interactive update of plot_vector inside MatplotlibBackend.

• Improvements to the code in preparation for merging this module into Sympy:

  • Small refactoring about the label generation: previously, the string and latex representations were generated at different times and in different functions. Now, they are generated simultaneously inside the __init__ method of a data series.

  • Changes in names of functions that are meant to remain private:

    • adaptive_eval -> _adaptive_eval.
    • _uniform_eval -> _uniform_eval_helper
    • uniform_eval -> _uniform_eval
    • _correct_size -> _correct_shape
    • get_points -> _get_points

Sympy Plot Backends v1.2.0

Updated requirements for conda builds.

For a full list of changes please look at: Release Notes.

Sympy Plot Backends v1.2.0

What's Changed

• Replaced the line_kw, surface_kw, image_kw, fill_kw keyword arguments with rendering_kw. This simplifies the usage between different plotting functions.

• Plot functions now accepts a new argument: rendering_kw, a dictionary of options that will be passed directly to the backend to customize the appearance. In particular:

  • Possibility to plot and customize multiple expressions with a single function call. For example, for line plots:

    plot(
      (expr1, range1 [opt], label1 [opt], rendering_kw1 [opt]),
      (expr2, range2 [opt], label2 [opt], rendering_kw2 [opt]),
      **kwargs
    )
    

  • Possibility to achieve the same result using the label and rendering_kw keyword arguments by providing lists of elements (one element for each expression). For example, for line plots:

    plot(expr1, expr2, range [opt],
        label=["label1", "label2"],
        rendering_kw=[dict(...), dict(...)],
        **kwargs
    )
    

• Interactive submodule:

  • Fixed bug with spb.interactive.create_widgets.

  • Integration of the interactive-widget plot iplot into the most important plotting functions. To activate the interactive-widget plot users need to provide the params dictionary to the plotting function. For example, to create a line interactive-widget plot:

    plot(cos(u * x), (x, -5, 5), params={u: (1, 0, 2)})
    

• Series:

  • Fixed a bug with line series when plotting complex-related function with adaptive=False.

  • Fixed bug with lambdify and modules="sympy".

  • Fixed bug with the number of discretization points of vector series.

  • Enabled support for Python's built-in sum() function, which can now be used to combine multiple plots.

• Backends:

  • Fixed a bug with MatplotlibBackend and string-valued color maps.

  • Fixed a bug with BokehBackend about the update of quivers color when using iplot.

• Updated tutorials and documentation.

Sympy Plot Backends v1.1.7

What's Changed

• Fixed bug with plot_complex_list.
• Added new tutorial about singularity-dections.

Sympy Plot Backends v1.1.6

What's Changed

• Fixed bug with label keyword argument.
• Added an error message to plot3d to improve its usability.
• Updated documentation.

Sympy Plot Backends v1.1.5

What's Changed

• Implemented line_color and surface_color: this plotting module should now be back-compatible with the current sympy.plotting.

Sympy Plot Backends v1.1.4

What's Changed

• color_func is back-compatible with sympy.plotting's
  line_color and surface_color.

Sympy Plot Backends v1.1.3

What's Changed

• Added color_func support to parametric line series.
• Improved docstring.

Sympy Plot Backends v1.1.2

What's Changed

• iplot:

  • Added servable keyword argument: servable=True will serves the application to a new browser windows,
  • Added name keyword argument: if used with servable=True it will add a title to the interactive application.

• Default settings:

  • Added servable and theme to interactive section.

• Fixed a bug when plotting lines with BokehBackend.

• Improved the way of setting the number of discretization points: n can now be a two (or three) elements tuple, which will override n1 and n2.

• It is now possible to pass a float number of discretization points, for example n=1e04.

• added label keyword argument to plot functions.

Sympy Plot Backends v1.1.1

What's Changed

• Added color_func keyword argument to:

  • plot to apply custom coloring to lines.
  • plot3d and plot3d_parametric_surface to apply custom coloring to 3D
    surfaces.
  • to accomodate color_func, ParametricSurfaceSeries.get_data() now
    returns 5 elements instead of 3.

• Added plot range to default settings.

• Implemented a custom printer for interval math to be used inside
  ImplicitSeries.

• Added plot3d_implicit to visualize implicit surfaces.

• MatplotlibBackend now uses default colorloop from plt.rcParams['axes.prop_cycle'].