(self)
return hpat_pandas_series_at_impl
Intel Scalable Dataframe Compiler User Guide
    ********************************************

    Pandas API: pandas.Series.at

    Limitations
    -----------
    - This function may reveal slower performance than Pandas* on user system. Users should exercise a tradeoff
    between staying in JIT-region with that function or going back to interpreter mode.

    Examples
    --------
    .. literalinclude:: ../../../examples/series/series_at/series_at_single_result.py
       :language: python
       :lines: 27-
       :caption: With a scalar integer. Returns single value.
       :name: ex_series_at

    .. command-output:: python ./series/series_at/series_at_single_result.py
       :cwd: ../../../examples

    .. literalinclude:: ../../../examples/series/series_at/series_at_multiple_result.py
       :language: python
       :lines: 27-
       :caption: With a scalar integer. Returns multiple value.
       :name: ex_series_at

    .. command-output:: python ./series/series_at/series_at_multiple_result.py
       :cwd: ../../../examples

    .. seealso::

        :ref:`DataFrame.iat <pandas.DataFrame.iat>`
            Access a single value for a row/column pair by integer position.

        :ref:`DataFrame.loc <pandas.DataFrame.loc>`
            Access a group of rows and columns by label(s).

        :ref:`Series.at <pandas.Series.at>`
            Access a single value using a label.

    Intel Scalable Dataframe Compiler Developer Guide
    *************************************************
    Pandas Series method :meth:`pandas.Series.at` implementation.

    .. only:: developer
        Test: python -m sdc.runtests -k sdc.tests.test_series.TestSeries.test_series_at*
Intel Scalable Dataframe Compiler User Guide
    ********************************************
Intel Scalable Dataframe Compiler User Guide ********************************************
def hpat_pandas_series_at(self):
    """
    Intel Scalable Dataframe Compiler User Guide
    ********************************************

    Pandas API: pandas.Series.at

    Limitations
    -----------
    - This function may reveal slower performance than Pandas* on user system. Users should exercise a tradeoff
    between staying in JIT-region with that function or going back to interpreter mode.

    Examples
    --------
    .. literalinclude:: ../../../examples/series/series_at/series_at_single_result.py
       :language: python
       :lines: 27-
       :caption: With a scalar integer. Returns single value.
       :name: ex_series_at

    .. command-output:: python ./series/series_at/series_at_single_result.py
       :cwd: ../../../examples

    .. literalinclude:: ../../../examples/series/series_at/series_at_multiple_result.py
       :language: python
       :lines: 27-
       :caption: With a scalar integer. Returns multiple value.
       :name: ex_series_at

    .. command-output:: python ./series/series_at/series_at_multiple_result.py
       :cwd: ../../../examples

    .. seealso::

        :ref:`DataFrame.iat <pandas.DataFrame.iat>`
            Access a single value for a row/column pair by integer position.

        :ref:`DataFrame.loc <pandas.DataFrame.loc>`
            Access a group of rows and columns by label(s).

        :ref:`Series.at <pandas.Series.at>`
            Access a single value using a label.

    Intel Scalable Dataframe Compiler Developer Guide
    *************************************************
    Pandas Series method :meth:`pandas.Series.at` implementation.

    .. only:: developer
        Test: python -m sdc.runtests -k sdc.tests.test_series.TestSeries.test_series_at*
    """

    _func_name = 'Attribute at().'

    if not isinstance(self, SeriesType):
        raise TypingError('{} The object must be a pandas.series. Given: {}'.format(_func_name, self))

    def hpat_pandas_series_at_impl(self):
        return sdc.datatypes.hpat_pandas_getitem_types.series_getitem_accessor_init(self, 'at')

    return hpat_pandas_series_at_impl
def hpat_pandas_series_at ( self ) : _func_name = 'Attribute at().' if not isinstance ( self , SeriesType ) : raise TypingError ( '{} The object must be a pandas.series. Given: {}' . format ( _func_name , self ) ) def hpat_pandas_series_at_impl ( self ) : return sdc . datatypes . hpat_pandas_getitem_types . series_getitem_accessor_init ( self , 'at' ) return hpat_pandas_series_at_impl