(df, axis=None, skipna=None, level=None, ddof=1, numeric_only=None)
return sdc_pandas_dataframe_reduce_columns(df, name, params, ser_par)
Intel Scalable Dataframe Compiler User Guide
    ********************************************

    Pandas API: pandas.DataFrame.var

    Limitations
    -----------
    Parameters ``axis``, ``level`` and ``numeric_only`` are unsupported.

    Examples
    --------
    .. literalinclude:: ../../../examples/dataframe/dataframe_var.py
       :language: python
       :lines: 35-
       :caption: Return unbiased variance over requested axis.
       :name: ex_dataframe_var

    .. command-output:: python ./dataframe/dataframe_var.py
       :cwd: ../../../examples

    .. seealso::
        :ref:`Series.std <pandas.Series.std>`
            Returns sample standard deviation over Series.
        :ref:`Series.var<pandas.Series.var>`
            Returns unbiased variance over Series.
        :ref:`DataFrame.std <pandas.DataFrame.std>`
            Returns sample standard deviation over DataFrame.

    Intel Scalable Dataframe Compiler Developer Guide
    *************************************************

    Pandas DataFrame method :meth:`pandas.DataFrame.var` implementation.

    .. only:: developer

        Test: python -m sdc.runtests -k sdc.tests.test_dataframe.TestDataFrame.test_var*
Intel Scalable Dataframe Compiler User Guide
    ********************************************
Intel Scalable Dataframe Compiler User Guide ********************************************
def var_overload(df, axis=None, skipna=None, level=None, ddof=1, numeric_only=None):
    """
    Intel Scalable Dataframe Compiler User Guide
    ********************************************

    Pandas API: pandas.DataFrame.var

    Limitations
    -----------
    Parameters ``axis``, ``level`` and ``numeric_only`` are unsupported.

    Examples
    --------
    .. literalinclude:: ../../../examples/dataframe/dataframe_var.py
       :language: python
       :lines: 35-
       :caption: Return unbiased variance over requested axis.
       :name: ex_dataframe_var

    .. command-output:: python ./dataframe/dataframe_var.py
       :cwd: ../../../examples

    .. seealso::
        :ref:`Series.std <pandas.Series.std>`
            Returns sample standard deviation over Series.
        :ref:`Series.var<pandas.Series.var>`
            Returns unbiased variance over Series.
        :ref:`DataFrame.std <pandas.DataFrame.std>`
            Returns sample standard deviation over DataFrame.

    Intel Scalable Dataframe Compiler Developer Guide
    *************************************************

    Pandas DataFrame method :meth:`pandas.DataFrame.var` implementation.

    .. only:: developer

        Test: python -m sdc.runtests -k sdc.tests.test_dataframe.TestDataFrame.test_var*
    """

    name = 'var'

    check_type(name, df, axis=axis, skipna=skipna, level=level, numeric_only=numeric_only, ddof=ddof)

    params = {'axis': None, 'skipna': None, 'level': None, 'ddof': 1, 'numeric_only': None}
    ser_par = {'skipna': 'skipna', 'level': 'level', 'ddof': 'ddof'}

    return sdc_pandas_dataframe_reduce_columns(df, name, params, ser_par)
def var_overload ( df , axis = None , skipna = None , level = None , ddof = 1 , numeric_only = None ) : name = 'var' check_type ( name , df , axis = axis , skipna = skipna , level = level , numeric_only = numeric_only , ddof = ddof ) params = { 'axis' : None , 'skipna' : None , 'level' : None , 'ddof' : 1 , 'numeric_only' : None } ser_par = { 'skipna' : 'skipna' , 'level' : 'level' , 'ddof' : 'ddof' } return sdc_pandas_dataframe_reduce_columns ( df , name , params , ser_par )