(df, axis=None, skipna=None, level=None, numeric_only=None, min_count=0)
return sdc_pandas_dataframe_reduce_columns(df, name, params, ser_par)
Intel Scalable Dataframe Compiler User Guide
    ********************************************

    Pandas API: pandas.DataFrame.sum

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

    Examples
    --------
    .. literalinclude:: ../../../examples/dataframe/dataframe_sum.py
       :language: python
       :lines: 35-
       :caption: Return the sum of the values for the columns.
       :name: ex_dataframe_sum

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

    .. seealso::

        :ref:`Series.sum <pandas.Series.sum>`
            Return the sum.

        :ref:`Series.min <pandas.Series.min>`
            Return the minimum.

        :ref:`Series.max <pandas.Series.max>`
            Return the maximum.

        :ref:`Series.idxmin <pandas.Series.idxmin>`
            Return the index of the minimum.

        :ref:`Series.idxmax <pandas.Series.idxmax>`
            Return the index of the maximum.

        :ref:`DataFrame.sum <pandas.DataFrame.sum>`
            Return the sum over the requested axis.

        :ref:`DataFrame.min <pandas.DataFrame.min>`
            Return the minimum over the requested axis.

        :ref:`DataFrame.max <pandas.DataFrame.max>`
            Return the maximum over the requested axis.

        :ref:`DataFrame.idxmin <pandas.DataFrame.idxmin>`
            Return the index of the minimum over the requested axis.

        :ref:`DataFrame.idxmax <pandas.DataFrame.idxmax>`
            Return the index of the maximum over the requested axis.

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

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

    .. only:: developer

        Test: python -m sdc.runtests -k sdc.tests.test_dataframe.TestDataFrame.test_sum*
Intel Scalable Dataframe Compiler User Guide
    ********************************************
Intel Scalable Dataframe Compiler User Guide ********************************************
def sum_overload(df, axis=None, skipna=None, level=None, numeric_only=None, min_count=0):
    """
    Intel Scalable Dataframe Compiler User Guide
    ********************************************

    Pandas API: pandas.DataFrame.sum

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

    Examples
    --------
    .. literalinclude:: ../../../examples/dataframe/dataframe_sum.py
       :language: python
       :lines: 35-
       :caption: Return the sum of the values for the columns.
       :name: ex_dataframe_sum

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

    .. seealso::

        :ref:`Series.sum <pandas.Series.sum>`
            Return the sum.

        :ref:`Series.min <pandas.Series.min>`
            Return the minimum.

        :ref:`Series.max <pandas.Series.max>`
            Return the maximum.

        :ref:`Series.idxmin <pandas.Series.idxmin>`
            Return the index of the minimum.

        :ref:`Series.idxmax <pandas.Series.idxmax>`
            Return the index of the maximum.

        :ref:`DataFrame.sum <pandas.DataFrame.sum>`
            Return the sum over the requested axis.

        :ref:`DataFrame.min <pandas.DataFrame.min>`
            Return the minimum over the requested axis.

        :ref:`DataFrame.max <pandas.DataFrame.max>`
            Return the maximum over the requested axis.

        :ref:`DataFrame.idxmin <pandas.DataFrame.idxmin>`
            Return the index of the minimum over the requested axis.

        :ref:`DataFrame.idxmax <pandas.DataFrame.idxmax>`
            Return the index of the maximum over the requested axis.

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

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

    .. only:: developer

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

    name = 'sum'

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

    params = {'axis': None, 'skipna': None, 'level': None, 'numeric_only': None, 'min_count': 0}
    ser_par = {'skipna': 'skipna', 'level': 'level', 'min_count': 'min_count'}

    return sdc_pandas_dataframe_reduce_columns(df, name, params, ser_par)
def sum_overload ( df , axis = None , skipna = None , level = None , numeric_only = None , min_count = 0 ) : name = 'sum' check_type ( name , df , axis = axis , skipna = skipna , level = level , numeric_only = numeric_only , min_count = min_count ) params = { 'axis' : None , 'skipna' : None , 'level' : None , 'numeric_only' : None , 'min_count' : 0 } ser_par = { 'skipna' : 'skipna' , 'level' : 'level' , 'min_count' : 'min_count' } return sdc_pandas_dataframe_reduce_columns ( df , name , params , ser_par )