diff --git a/adding-procedures.html b/adding-procedures.html index a228076a..7862385a 100644 --- a/adding-procedures.html +++ b/adding-procedures.html @@ -4,7 +4,7 @@ - Contributing new methods — saspy 5.100.3 documentation + Contributing new methods — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
- 5.100.3 + 5.100.4
diff --git a/advanced-topics.html b/advanced-topics.html index ed875297..49370e1a 100644 --- a/advanced-topics.html +++ b/advanced-topics.html @@ -4,7 +4,7 @@ - Advanced topics — saspy 5.100.3 documentation + Advanced topics — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
- 5.100.3 + 5.100.4
diff --git a/api.html b/api.html index 17acc8a6..abc42a29 100644 --- a/api.html +++ b/api.html @@ -4,7 +4,7 @@ - API Reference — saspy 5.100.3 documentation + API Reference — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
- 5.100.3 + 5.100.4
@@ -603,19 +603,19 @@

SAS Session Object
-assigned_librefs() → list
+assigned_librefs() → list

This method returns the list of currently assigned librefs

-cat(path) → str
+cat(path) → str

Like Linux ‘cat’ - open and print the contents of a file

-dataframe2sasdata(df: DataFrame, table: str = '_df', libref: str = '', results: str = '', keep_outer_quotes: bool = False, embedded_newlines: bool = True, LF: str = '\x01', CR: str = '\x02', colsep: str = '\x03', colrep: str = ' ', datetimes: dict = {}, outfmts: dict = {}, labels: dict = {}, outdsopts: dict = {}, encode_errors=None, char_lengths=None, **kwargs) → SASdata
+dataframe2sasdata(df: DataFrame, table: str = '_df', libref: str = '', results: str = '', keep_outer_quotes: bool = False, embedded_newlines: bool = True, LF: str = '\x01', CR: str = '\x02', colsep: str = '\x03', colrep: str = ' ', datetimes: dict = {}, outfmts: dict = {}, labels: dict = {}, outdsopts: dict = {}, encode_errors=None, char_lengths=None, **kwargs) → SASdata

This method imports a Pandas DataFrame to a SAS Data Set, returning the SASdata object for the new Data Set.

Also note that DataFrame indexes (row label) are not transferred over as columns, as they aren’t actualy in df.columns. You can simpley use df.reset_index() before this method and df.set_index() after to have the index be a column which @@ -679,7 +679,7 @@

SAS Session Object
-datasets(libref: str = '') → str
+datasets(libref: str = '') → str

This method is used to query a libref. The results show information about the libref including members.

Parameters:
@@ -693,7 +693,7 @@

SAS Session Object
-df2sd(df: DataFrame, table: str = '_df', libref: str = '', results: str = '', keep_outer_quotes: bool = False, embedded_newlines: bool = True, LF: str = '\x01', CR: str = '\x02', colsep: str = '\x03', colrep: str = ' ', datetimes: dict = {}, outfmts: dict = {}, labels: dict = {}, outdsopts: dict = {}, encode_errors=None, char_lengths=None, **kwargs) → SASdata
+df2sd(df: DataFrame, table: str = '_df', libref: str = '', results: str = '', keep_outer_quotes: bool = False, embedded_newlines: bool = True, LF: str = '\x01', CR: str = '\x02', colsep: str = '\x03', colrep: str = ' ', datetimes: dict = {}, outfmts: dict = {}, labels: dict = {}, outdsopts: dict = {}, encode_errors=None, char_lengths=None, **kwargs) → SASdata

This is an alias for ‘dataframe2sasdata’. Why type all that?

Also note that DataFrame indexes (row label) are not transferred over as columns, as they aren’t actualy in df.columns. You can simpley use df.reset_index() before this method and df.set_index() after to have the index be a column which @@ -701,7 +701,7 @@

SAS Session Object
Parameters:
    -

  • df – pandas.DataFrame Pandas DataFrame to import to a SAS Data Set

    • +

  • df – pandas.DataFrame Pandas DataFrame to import to a SAS Data Set

  • table – the name of the SAS Data Set to create

  • libref – the libref for the SAS Data Set being created. Defaults to WORK, or USER if assigned

  • results – format of results, SASsession.results is default, PANDAS, HTML or TEXT are the alternatives

    • @@ -761,7 +761,7 @@

    SAS Session Object
    -df_char_lengths(df: DataFrame, encode_errors=None, char_lengths=None, **kwargs) → dict
    +df_char_lengths(df: DataFrame, encode_errors=None, char_lengths=None, **kwargs) → dict

    This is a utility method for df2sd, use to get the character columns lengths from a DataFrame to use to create a SAS data set. This can be called by the user and the returned dict can be passed in to df2sd via the char_lengths= option. For big DataFrames, this can take a long time, so this can be used to do it once, @@ -769,7 +769,7 @@

    SAS Session Object
    Parameters:
      -

    • df – pandas.DataFrame Pandas DataFrames to import to a SAS Data Set

      • +

    • df – pandas.DataFrame Pandas DataFrames to import to a SAS Data Set

    • encode_errors – ‘fail’, ‘replace’ - default is to ‘fail’, other choice is to ‘replace’ invalid chars with the replacement char. This is only when calculating byte lengths, which is dependent upon the value of char_lengths=. When calculating char lengths, this parameter is ignored in this method (encoding is deferred to the data transfer step in df2sd).

    • char_lengths –

      How to determine (and declare) lengths for CHAR variables in the output SAS data set SAS declares lenghts in bytes, not characters, so multibyte encodings require more bytes per character (BPC)

        @@ -789,7 +789,7 @@

        SAS Session Object
        -dirlist(path) → list
        +dirlist(path) → list

        This method returns the directory list for the path specified where SAS is running

@@ -802,7 +802,7 @@

SAS Session Object
-download(localfile: str, remotefile: str, overwrite: bool = True, **kwargs)
+download(localfile: str, remotefile: str, overwrite: bool = True, **kwargs)

This method downloads a remote file from the SAS servers file system.

Parameters:
@@ -827,7 +827,7 @@

SAS Session Object
-exist(table: str, libref: str = '') → bool
+exist(table: str, libref: str = '') → bool

Does the SAS data set currently exist

Parameters:
@@ -840,14 +840,14 @@

SAS Session Object

Boolean True it the Data Set exists and False if it does not

Return type:
-

bool

+

bool

-file_copy(source_path, dest_path, fileref: str = '_spfinf', quiet: bool = False) → dict
+file_copy(source_path, dest_path, fileref: str = '_spfinf', quiet: bool = False) → dict

This method copies one external file to another on the SAS server side

Parameters:
@@ -866,7 +866,7 @@

SAS Session Object
-file_delete(filepath, fileref: str = '_spfinfo', quiet: bool = False) → dict
+file_delete(filepath, fileref: str = '_spfinfo', quiet: bool = False) → dict

This method deletes an external file or directory on the SAS server side

Parameters:
@@ -884,14 +884,14 @@

SAS Session Object
-file_info(filepath, results: str = 'dict', fileref: str = '_spfinfo', quiet: bool = False) → dict
+file_info(filepath, results: str = 'dict', fileref: str = '_spfinfo', quiet: bool = False) → dict

This method returns a dictionary containing the file attributes for the file name provided

If you would like a Pandas DataFrame returned instead of a dictionary, specify results=’pandas’

-lastlog() → str
+lastlog() → str

This method is used to get the LOG from the most recetly executed submit() method. That is either a user submitted submit() or internally submitted by any saspy method. This is just a convenience over the saslog() method, to just see the LOG for the last code that was submitted instead of the @@ -901,14 +901,14 @@

SAS Session Object

SAS log (partial)

Return type:
-

str

+

str

-lib_path(libref: str) → list
+lib_path(libref: str) → list
Parameters:

libref – the libref to get the path from

@@ -921,14 +921,14 @@

SAS Session Object
-list_tables(libref: str = 'work', results: str = 'list') → list
+list_tables(libref: str = 'work', results: str = 'list') → list

This method returns a list of tuples containing MEMNAME, MEMTYPE of members in the library of memtype data or view

If you would like a Pandas DataFrame returned instead of a list, specify results=’pandas’

-read_csv(file: str, table: str = '_csv', libref: str = '', results: str = '', opts: Optional[dict] = None) → SASdata
+read_csv(file: str, table: str = '_csv', libref: str = '', results: str = '', opts: Optional[dict] = None) → SASdata
Parameters:
    @@ -947,7 +947,7 @@

    SAS Session Object
    -sasdata(table: str, libref: str = '', results: str = '', dsopts: Optional[dict] = None) → SASdata
    +sasdata(table: str, libref: str = '', results: str = '', dsopts: Optional[dict] = None) → SASdata

    Method to define an existing SAS dataset so that it can be accessed via SASPy

    Parameters:
    @@ -986,7 +986,7 @@

    SAS Session Object
    -sasdata2dataframe(table: str, libref: str = '', dsopts: Optional[dict] = None, method: str = 'MEMORY', **kwargs) → DataFrame
    +sasdata2dataframe(table: str, libref: str = '', dsopts: Optional[dict] = None, method: str = 'MEMORY', **kwargs) → DataFrame

    This method exports the SAS Data Set to a Pandas DataFrame, returning the DataFrame object.

    Parameters:
    @@ -1072,7 +1072,7 @@

    SAS Session Object
    -sasdata2parquet(parquet_file_path: str, table: str, libref: str = '', dsopts: Optional[dict] = None, pa_parquet_kwargs=None, pa_pandas_kwargs=None, partitioned=False, partition_size_mb=128, chunk_size_mb=4, coerce_timestamp_errors=True, static_columns: Optional[list] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → None
    +sasdata2parquet(parquet_file_path: str, table: str, libref: str = '', dsopts: Optional[dict] = None, pa_parquet_kwargs=None, pa_pandas_kwargs=None, partitioned=False, partition_size_mb=128, chunk_size_mb=4, coerce_timestamp_errors=True, static_columns: Optional[list] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → None

    This method exports the SAS Data Set to a Parquet file. This is a user contributed method created to work around data sets that are too large to be able to reside in a data frame; not enough memory for Python to have it in Pandas. So, this writes the data out to a parquet file so it can be instantiated back in Python using Arrow.

    @@ -1141,7 +1141,7 @@

    SAS Session Object
    -saslib(libref: str, engine: str = ' ', path: Union[str, list] = '', options: str = ' ', prompt: Optional[dict] = None) → str
    +saslib(libref: str, engine: str = ' ', path: Union[str, list] = '', options: str = ' ', prompt: Optional[dict] = None) → str
    Parameters:
      @@ -1160,14 +1160,14 @@

      SAS Session Object
      -saslog() → str
      +saslog() → str

      This method is used to get the current, full contents of the SASLOG

      Returns:

      SAS log

      Return type:
      -

      str

      +

      str

    @@ -1232,7 +1232,7 @@

    SAS Session Object
    -sd2df(table: str, libref: str = '', dsopts: Optional[dict] = None, method: str = 'MEMORY', **kwargs) → DataFrame
    +sd2df(table: str, libref: str = '', dsopts: Optional[dict] = None, method: str = 'MEMORY', **kwargs) → DataFrame

    This is an alias for ‘sasdata2dataframe’. Why type all that?

    Parameters:
    @@ -1318,7 +1318,7 @@

    SAS Session Object
    -sd2df_CSV(table: str, libref: str = '', dsopts: Optional[dict] = None, tempfile: Optional[str] = None, tempkeep: bool = False, opts: Optional[dict] = None, **kwargs) → DataFrame
    +sd2df_CSV(table: str, libref: str = '', dsopts: Optional[dict] = None, tempfile: Optional[str] = None, tempkeep: bool = False, opts: Optional[dict] = None, **kwargs) → DataFrame

    This is an alias for ‘sasdata2dataframe’ specifying method=’CSV’. Why type all that?

    Parameters:
    @@ -1398,7 +1398,7 @@

    SAS Session Object
    -sd2df_DISK(table: str, libref: str = '', dsopts: Optional[dict] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → DataFrame
    +sd2df_DISK(table: str, libref: str = '', dsopts: Optional[dict] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → DataFrame

    This is an alias for ‘sasdata2dataframe’ specifying method=’DISK’. Why type all that?

    Parameters:
    @@ -1472,7 +1472,7 @@

    SAS Session Object
    -sd2pq(parquet_file_path: str, table: str, libref: str = '', dsopts: Optional[dict] = None, pa_parquet_kwargs=None, pa_pandas_kwargs=None, partitioned=False, partition_size_mb=128, chunk_size_mb=4, coerce_timestamp_errors=True, static_columns: Optional[list] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → None
    +sd2pq(parquet_file_path: str, table: str, libref: str = '', dsopts: Optional[dict] = None, pa_parquet_kwargs=None, pa_pandas_kwargs=None, partitioned=False, partition_size_mb=128, chunk_size_mb=4, coerce_timestamp_errors=True, static_columns: Optional[list] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → None

    This method exports the SAS Data Set to a Parquet file. This is an alias for sasdata2parquet. This is a user contributed method created to work around data sets that are too large to be able to reside in a data frame; not enough memory for Python to have it in Pandas. So, this writes the data out to a parquet file so it can be instantiated back in Python using Arrow.

    @@ -1533,7 +1533,7 @@

    SAS Session Object
    -set_batch(batch: bool)
    +set_batch(batch: bool)

    This method sets the batch attribute for the SASsession object; it stays in effect until changed. For methods that just display results like SASdata object methods (head, tail, hist, series, etc.) and SASresult object results, you can set ‘batch’ to true to get the results back directly so you @@ -1552,7 +1552,7 @@

    SAS Session Object
    -set_results(results: str)
    +set_results(results: str)

    This method set the results attribute for the SASsession object; it stays in effect till changed

    Parameters:
    @@ -1562,20 +1562,20 @@

    SAS Session Object

    string of the return type

    Return type:
    -

    str

    +

    str

    -sil(life=None, rate=None, amount=None, payment=None, out: Optional[object] = None, out_summary: Optional[object] = None)
    +sil(life=None, rate=None, amount=None, payment=None, out: Optional[object] = None, out_summary: Optional[object] = None)

    Alias for simple_interest_loan

    -simple_interest_loan(life=None, rate=None, amount=None, payment=None, out: Optional[object] = None, out_summary: Optional[object] = None)
    +simple_interest_loan(life=None, rate=None, amount=None, payment=None, out: Optional[object] = None, out_summary: Optional[object] = None)

    Calculate the amortization schedule of a simple interest load given 3 of the 4 variables You must specify 3 of the for variables, to solve for the 4th.

    @@ -1595,7 +1595,7 @@

    SAS Session Object
    -submit(code: str, results: str = '', prompt: Optional[dict] = None, printto=False, **kwargs) → dict
    +submit(code: str, results: str = '', prompt: Optional[dict] = None, printto=False, **kwargs) → dict

    This method is used to submit any SAS code. It returns the Log and Listing as a python dictionary.

    Parameters:
    @@ -1650,13 +1650,13 @@

    SAS Session Object
    -submitLOG(code, results: str = '', prompt: Optional[dict] = None, printto=False, **kwargs)
    +submitLOG(code, results: str = '', prompt: Optional[dict] = None, printto=False, **kwargs)

    This method is a convenience wrapper around the submit() method. It executes the submit then prints the LOG that was returned.

    -submitLST(code, results: str = '', prompt: Optional[dict] = None, method: Optional[str] = None, printto=False, **kwargs)
    +submitLST(code, results: str = '', prompt: Optional[dict] = None, method: Optional[str] = None, printto=False, **kwargs)

    This method is a convenience wrapper around the submit() method. It executes the submit then renders the LST that was returned, as either HTML or TEXT, depending upon results. The method= parameter allows you to adjust what gets returned to suit your needs.

    @@ -1671,7 +1671,7 @@

    SAS Session Object
    -symexist(name: str)
    +symexist(name: str)
    Parameters:

    name – [required] name of the macro varable to check for existence

    @@ -1684,7 +1684,7 @@

    SAS Session Object
    -symget(name: str, outtype=None)
    +symget(name: str, outtype=None)
    Parameters:
      @@ -1697,7 +1697,7 @@

      SAS Session Object
      -symput(name: str, value, quoting='NRBQUOTE')
      +symput(name: str, value, quoting='NRBQUOTE')
      Parameters:
        @@ -1711,7 +1711,7 @@

        SAS Session Object
        -teach_me_SAS(nosub: bool)
        +teach_me_SAS(nosub: bool)
        Parameters:

        nosub – bool. True means don’t submit the code, print it out so I can see what the SAS code would be. False means run normally - submit the code.

        @@ -1721,7 +1721,7 @@

        SAS Session Object
        -upload(localfile: str, remotefile: str, overwrite: bool = True, permission: str = '', **kwargs)
        +upload(localfile: str, remotefile: str, overwrite: bool = True, permission: str = '', **kwargs)

        This method uploads a local file to the SAS servers file system.

        Parameters:
        @@ -1741,7 +1741,7 @@

        SAS Session Object
        -validvarname(df: DataFrame, version: str = 'v7') → DataFrame
        +validvarname(df: DataFrame, version: str = 'v7') → DataFrame

        Creates a copy of a DataFrame with SAS compatible column names. The version= parameter allows you to choose the compatability setting to use.

        @@ -1775,7 +1775,7 @@

        SAS Session Object
        -write_csv(file: str, table: str, libref: str = '', dsopts: Optional[dict] = None, opts: Optional[dict] = None) → str
        +write_csv(file: str, table: str, libref: str = '', dsopts: Optional[dict] = None, opts: Optional[dict] = None) → str
        Parameters:
          @@ -1829,7 +1829,7 @@

          SAS Session Object

          -class saspy.sasdata.SASdata(sassession, libref, table, results='', dsopts: Optional[dict] = None)
          +class saspy.sasdata.SASdata(sassession, libref, table, results='', dsopts: Optional[dict] = None)

          Overview

          The SASdata object is a reference to a SAS Data Set or View. It is used to access data that exists in the SAS session. You create a SASdata object by using the sasdata() method of the SASsession object.

          @@ -1866,7 +1866,7 @@

          SAS Data Object
          -add_vars(vars: dict, out: Optional[object] = None, **kwargs)
          +add_vars(vars: dict, out: Optional[object] = None, **kwargs)

          Copy table to itesf, or to ‘out=’ table and add any vars if you want

          Parameters:
          @@ -1895,7 +1895,7 @@

          SAS Data Object
          -append(data, force: bool = False)
          +append(data, force: bool = False)

          Append ‘data’ to this SAS Data Set. data can either be another SASdataobject or a Pandas DataFrame, in which case dataframe2sasdata(data) will be run for you to load the data into a SAS data Set which will then be appended to this data set.

          @@ -1914,7 +1914,7 @@

          SAS Data Object
          -assessModel(target: str, prediction: str, nominal: bool = True, event: str = '', **kwargs)
          +assessModel(target: str, prediction: str, nominal: bool = True, event: str = '', **kwargs)

          This method will calculate assessment measures using the SAS AA_Model_Eval Macro used for SAS Enterprise Miner. Not all datasets can be assessed. This is designed for scored data that includes a target and prediction columns TODO: add code example of build, score, and then assess

          @@ -1936,7 +1936,7 @@

          SAS Data Object
          -bar(var: str, title: str = '', label: str = '') → object
          +bar(var: str, title: str = '', label: str = '') → object

          This method requires a character column (use the contents method to see column types) and generates a bar chart.

          @@ -2009,7 +2009,7 @@

          SAS Data Object
          -heatmap(x: str, y: str, options: str = '', title: str = '', label: str = '') → object
          +heatmap(x: str, y: str, options: str = '', title: str = '', label: str = '') → object

          Documentation link: http://support.sas.com/documentation/cdl/en/grstatproc/67909/HTML/default/viewer.htm#n0w12m4cn1j5c6n12ak64u1rys4w.htm

          Parameters:
          @@ -2029,7 +2029,7 @@

          SAS Data Object
          -hist(var: str, title: str = '', label: str = '') → object
          +hist(var: str, title: str = '', label: str = '') → object

          This method requires a numeric column (use the contents method to see column types) and generates a histogram.

          Parameters:
          @@ -2047,7 +2047,7 @@

          SAS Data Object
          -impute(vars: dict, replace: bool = False, prefix: str = 'imp_', out: Optional[SASdata] = None) → SASdata
          +impute(vars: dict, replace: bool = False, prefix: str = 'imp_', out: Optional[SASdata] = None) → SASdata

          Imputes missing values for a SASdata object.

          Parameters:
          @@ -2088,7 +2088,7 @@

          SAS Data Object
          -modify(formats: Optional[dict] = None, informats: Optional[dict] = None, label: Optional[str] = None, renamevars: Optional[dict] = None, labelvars: Optional[dict] = None)
          +modify(formats: Optional[dict] = None, informats: Optional[dict] = None, label: Optional[str] = None, renamevars: Optional[dict] = None, labelvars: Optional[dict] = None)

          Modify a table, setting formats, informats or changing the data set name itself or renaming variables or adding labels to variables

          Parameters:
          @@ -2108,7 +2108,7 @@

          SAS Data Object
          -obs(force: bool = False) → int
          +obs(force: bool = False) → int
          Parameters:

          force – if nobs isn’t availble, set to True to force it to be calculated; may take time

          @@ -2121,7 +2121,7 @@

          SAS Data Object
          -partition(var: str = '', fraction: float = 0.7, seed: int = 9878, kfold: int = 1, out: Optional[SASdata] = None, singleOut: bool = True) → object
          +partition(var: str = '', fraction: float = 0.7, seed: int = 9878, kfold: int = 1, out: Optional[SASdata] = None, singleOut: bool = True) → object

          Partition a sas data object using SRS sampling or if a variable is specified then stratifying with respect to that variable

          @@ -2143,7 +2143,7 @@

          SAS Data Object
          -rename(name: Optional[str] = None)
          +rename(name: Optional[str] = None)

          Rename this data set

          Parameters:
          @@ -2157,7 +2157,7 @@

          SAS Data Object
          -scatter(x: str, y: list, title: str = '') → object
          +scatter(x: str, y: list, title: str = '') → object

          This method plots a scatter of x,y coordinates. You can provide a list of y columns for multiple line plots.

          Parameters:
          @@ -2175,7 +2175,7 @@

          SAS Data Object
          -score(file: str = '', code: str = '', out: Optional[SASdata] = None) → SASdata
          +score(file: str = '', code: str = '', out: Optional[SASdata] = None) → SASdata

          This method is meant to update a SAS Data object with a model score file.

          Parameters:
          @@ -2193,7 +2193,7 @@

          SAS Data Object
          -series(x: str, y: list, title: str = '') → object
          +series(x: str, y: list, title: str = '') → object

          This method plots a series of x,y coordinates. You can provide a list of y columns for multiple line plots.

          Parameters:
          @@ -2211,7 +2211,7 @@

          SAS Data Object
          -set_results(results: str)
          +set_results(results: str)

          This method set the results attribute for the SASdata object; it stays in effect till changed results - set the default result type for this SASdata object. ‘Pandas’ or ‘HTML’ or ‘TEXT’.

          @@ -2226,7 +2226,7 @@

          SAS Data Object
          -sort(by: str, out: object = '', **kwargs) → SASdata
          +sort(by: str, out: object = '', **kwargs) → SASdata

          Sort the SAS Data Set

          Parameters:
          @@ -2270,7 +2270,7 @@

          SAS Data Object
          -to_csv(file: str, opts: Optional[dict] = None) → str
          +to_csv(file: str, opts: Optional[dict] = None) → str

          This method will export a SAS Data Set to a file in CSV format.

          Parameters:
          @@ -2297,7 +2297,7 @@

          SAS Data Object
          -to_df(method: str = 'MEMORY', **kwargs) → DataFrame
          +to_df(method: str = 'MEMORY', **kwargs) → DataFrame

          Export this SAS Data Set to a Pandas Data Frame

          Parameters:
          @@ -2347,7 +2347,7 @@

          SAS Data Object
          -to_df_CSV(tempfile: Optional[str] = None, tempkeep: bool = False, opts: Optional[dict] = None, **kwargs) → DataFrame
          +to_df_CSV(tempfile: Optional[str] = None, tempkeep: bool = False, opts: Optional[dict] = None, **kwargs) → DataFrame

          This is an alias for ‘to_df’ specifying method=’CSV’.

          Parameters:
          @@ -2397,7 +2397,7 @@

          SAS Data Object
          -to_df_DISK(rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → DataFrame
          +to_df_DISK(rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → DataFrame

          This is an alias for ‘to_df’ specifying method=’DISK’.

          Parameters:
          @@ -2441,7 +2441,7 @@

          SAS Data Object
          -to_frame(**kwargs) → DataFrame
          +to_frame(**kwargs) → DataFrame

          This is just an alias for to_df()

          Parameters:
          @@ -2458,7 +2458,7 @@

          SAS Data Object
          -to_json(pretty: bool = False, sastag: bool = False, **kwargs) → str
          +to_json(pretty: bool = False, sastag: bool = False, **kwargs) → str

          Export this SAS Data Set to a JSON Object PROC JSON documentation: http://go.documentation.sas.com/?docsetId=proc&docsetVersion=9.4&docsetTarget=p06hstivs0b3hsn1cb4zclxukkut.htm&locale=en

          @@ -2477,7 +2477,7 @@

          SAS Data Object
          -to_pq(parquet_file_path: str, pa_parquet_kwargs=None, pa_pandas_kwargs=None, partitioned=False, partition_size_mb=128, chunk_size_mb=4, coerce_timestamp_errors=True, static_columns: Optional[list] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → None
          +to_pq(parquet_file_path: str, pa_parquet_kwargs=None, pa_pandas_kwargs=None, partitioned=False, partition_size_mb=128, chunk_size_mb=4, coerce_timestamp_errors=True, static_columns: Optional[list] = None, rowsep: str = '\x01', colsep: str = '\x02', rowrep: str = ' ', colrep: str = ' ', **kwargs) → None

          This method exports the SAS Data Set to a Parquet file. This is an alias for sasdata2parquet.

          Parameters:
          @@ -2528,7 +2528,7 @@

          SAS Data Object
          -top(var: str, n: int = 10, order: str = 'freq', title: str = '') → object
          +top(var: str, n: int = 10, order: str = 'freq', title: str = '') → object

          Return the most commonly occuring items (levels)

          Parameters:
          @@ -2547,7 +2547,7 @@

          SAS Data Object
          -where(where: str) → SASdata
          +where(where: str) → SASdata

          This method returns a clone of the SASdata object, with the where attribute set. The original SASdata object is not affected.

          Parameters:
          diff --git a/configuration.html b/configuration.html index 41871ccd..6902c74e 100644 --- a/configuration.html +++ b/configuration.html @@ -4,7 +4,7 @@ - Configuration — saspy 5.100.3 documentation + Configuration — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/genindex.html b/genindex.html index 6baa04ae..df68ddf8 100644 --- a/genindex.html +++ b/genindex.html @@ -3,7 +3,7 @@ - Index — saspy 5.100.3 documentation + Index — saspy 5.100.4 documentation @@ -35,7 +35,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/getting-started.html b/getting-started.html index f3218ffd..04fbe070 100644 --- a/getting-started.html +++ b/getting-started.html @@ -4,7 +4,7 @@ - Getting started — saspy 5.100.3 documentation + Getting started — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/index.html b/index.html index 710d0e8f..5511e838 100644 --- a/index.html +++ b/index.html @@ -4,7 +4,7 @@ - SASPy — saspy 5.100.3 documentation + SASPy — saspy 5.100.4 documentation @@ -37,7 +37,7 @@ saspy
          - 5.100.3 + 5.100.4
          @@ -409,7 +409,7 @@ https://user-images.githubusercontent.com/17710182/171252212-4af121a6-72d9-4234-b6cf-2a0d31eb8bf7.png

          SASPy

          -

          Date: Sep 11, 2024 Version: 5.100.3

          +

          Date: Oct 28, 2024 Version: 5.100.4

          Source Repository: http://github.com/sassoftware/saspy

          Issues and Ideas: https://github.com/sassoftware/saspy/issues

          Example Repo: https://github.com/sassoftware/saspy-examples

          diff --git a/install.html b/install.html index a63e933a..5d652701 100644 --- a/install.html +++ b/install.html @@ -4,7 +4,7 @@ - Installation — saspy 5.100.3 documentation + Installation — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/license.html b/license.html index 66ca2f2c..bd3bd347 100644 --- a/license.html +++ b/license.html @@ -4,7 +4,7 @@ - License — saspy 5.100.3 documentation + License — saspy 5.100.4 documentation @@ -37,7 +37,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/limitations.html b/limitations.html index 434a481e..37fb6e54 100644 --- a/limitations.html +++ b/limitations.html @@ -4,7 +4,7 @@ - Limitations, restrictions and work arounds — saspy 5.100.3 documentation + Limitations, restrictions and work arounds — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/py-modindex.html b/py-modindex.html index 8700ef53..de00a404 100644 --- a/py-modindex.html +++ b/py-modindex.html @@ -3,7 +3,7 @@ - Python Module Index — saspy 5.100.3 documentation + Python Module Index — saspy 5.100.4 documentation @@ -42,7 +42,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/search.html b/search.html index 117e688b..69658414 100644 --- a/search.html +++ b/search.html @@ -3,7 +3,7 @@ - Search — saspy 5.100.3 documentation + Search — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
          - 5.100.3 + 5.100.4
          diff --git a/troubleshooting.html b/troubleshooting.html index 8ff8a0cb..8407e981 100644 --- a/troubleshooting.html +++ b/troubleshooting.html @@ -4,7 +4,7 @@ - Troubleshooting — saspy 5.100.3 documentation + Troubleshooting — saspy 5.100.4 documentation @@ -38,7 +38,7 @@ saspy
          - 5.100.3 + 5.100.4