Python pandas.core.nanops.nanargmax() Examples

The following are 14 code examples of pandas.core.nanops.nanargmax(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module pandas.core.nanops , or try the search function .
Example #1
Source File: base.py    From recruit with Apache License 2.0 6 votes vote down vote up 
def argmax(self, axis=None, skipna=True):
        """
        Return a ndarray of the maximum argument indexer.

        Parameters
        ----------
        axis : {None}
            Dummy argument for consistency with Series
        skipna : bool, default True

        See Also
        --------
        numpy.ndarray.argmax
        """
        nv.validate_minmax_axis(axis)
        return nanops.nanargmax(self._values, skipna=skipna)
Example #2
Source File: base.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up 
def argmax(self, axis=None, skipna=True):
        """
        Return a ndarray of the maximum argument indexer.

        Parameters
        ----------
        axis : {None}
            Dummy argument for consistency with Series
        skipna : bool, default True

        See Also
        --------
        numpy.ndarray.argmax
        """
        nv.validate_minmax_axis(axis)
        return nanops.nanargmax(self._values, skipna=skipna)
Example #3
Source File: test_nanops.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_nanargmax(self):
        with warnings.catch_warnings(record=True):
            warnings.simplefilter("ignore", RuntimeWarning)
            func = partial(self._argminmax_wrap, func=np.argmax)
            self.check_funs(nanops.nanargmax, func,
                            allow_str=False, allow_obj=False,
                            allow_date=True, allow_tdelta=True)
Example #4
Source File: test_nanops.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_nanargmax(self):
        with warnings.catch_warnings(record=True):
            func = partial(self._argminmax_wrap, func=np.argmax)
            self.check_funs(nanops.nanargmax, func,
                            allow_str=False, allow_obj=False,
                            allow_date=True, allow_tdelta=True)
Example #5
Source File: base.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def argmax(self, axis=None):
        """
        return a ndarray of the maximum argument indexer

        See also
        --------
        numpy.ndarray.argmax
        """
        return nanops.nanargmax(self.values)
Example #6
Source File: frame.py    From Computable with MIT License 5 votes vote down vote up 
def idxmax(self, axis=0, skipna=True):
        """
        Return index of first occurrence of maximum over requested axis.
        NA/null values are excluded.

        Parameters
        ----------
        axis : {0, 1}
            0 for row-wise, 1 for column-wise
        skipna : boolean, default True
            Exclude NA/null values. If an entire row/column is NA, the result
            will be first index.

        Returns
        -------
        idxmax : Series

        Notes
        -----
        This method is the DataFrame version of ``ndarray.argmax``.

        See Also
        --------
        Series.idxmax
        """
        axis = self._get_axis_number(axis)
        indices = nanops.nanargmax(self.values, axis=axis, skipna=skipna)
        index = self._get_axis(axis)
        result = [index[i] if i >= 0 else NA for i in indices]
        return Series(result, index=self._get_agg_axis(axis))
Example #7
Source File: series.py    From Computable with MIT License 5 votes vote down vote up 
def idxmax(self, axis=None, out=None, skipna=True):
        """
        Index of first occurrence of maximum of values.

        Parameters
        ----------
        skipna : boolean, default True
            Exclude NA/null values

        Returns
        -------
        idxmax : Index of minimum of values

        Notes
        -----
        This method is the Series version of ``ndarray.argmax``.

        See Also
        --------
        DataFrame.idxmax
        """
        i = nanops.nanargmax(_values_from_object(self), skipna=skipna)
        if i == -1:
            return pa.NA
        return self.index[i]

    # ndarray compat
Example #8
Source File: test_nanops.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_nanargmax(self):
        with warnings.catch_warnings(record=True):
            warnings.simplefilter("ignore", RuntimeWarning)
            func = partial(self._argminmax_wrap, func=np.argmax)
            self.check_funs(nanops.nanargmax, func,
                            allow_str=False, allow_obj=False,
                            allow_date=True, allow_tdelta=True)
Example #9
Source File: base.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def argmax(self, axis=None):
        """
        return a ndarray of the maximum argument indexer

        See also
        --------
        numpy.ndarray.argmax
        """
        return nanops.nanargmax(self.values)
Example #10
Source File: series.py    From Splunking-Crime with GNU Affero General Public License v3.0 5 votes vote down vote up 
def idxmax(self, axis=None, skipna=True, *args, **kwargs):
        """
        Index *label* of the first occurrence of maximum of values.

        Parameters
        ----------
        skipna : boolean, default True
            Exclude NA/null values. If the entire Series is NA, the result
            will be NA.

        Raises
        ------
        ValueError
            * If the Series is empty

        Returns
        -------
        idxmax : Index of maximum of values

        Notes
        -----
        This method is the Series version of ``ndarray.argmax``. This method
        returns the label of the maximum, while ``ndarray.argmax`` returns
        the position. To get the position, use ``series.values.argmax()``.

        See Also
        --------
        DataFrame.idxmax
        numpy.ndarray.argmax
        """
        skipna = nv.validate_argmax_with_skipna(skipna, args, kwargs)
        i = nanops.nanargmax(_values_from_object(self), skipna=skipna)
        if i == -1:
            return np.nan
        return self.index[i]

    # ndarray compat
Example #11
Source File: test_nanops.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_nanargmax(self):
        func = partial(self._argminmax_wrap, func=np.argmax)
        self.check_funs(nanops.nanargmax, func, allow_str=False,
                        allow_obj=False, allow_date=True, allow_tdelta=True)
Example #12
Source File: base.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def argmax(self, axis=None):
        """
        return a ndarray of the maximum argument indexer

        See also
        --------
        numpy.ndarray.argmax
        """
        return nanops.nanargmax(self.values)
Example #13
Source File: series.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def idxmax(self, axis=None, skipna=True, *args, **kwargs):
        """
        Index *label* of the first occurrence of maximum of values.

        Parameters
        ----------
        skipna : boolean, default True
            Exclude NA/null values

        Returns
        -------
        idxmax : Index of maximum of values

        Notes
        -----
        This method is the Series version of ``ndarray.argmax``. This method
        returns the label of the maximum, while ``ndarray.argmax`` returns
        the position. To get the position, use ``series.values.argmax()``.

        See Also
        --------
        DataFrame.idxmax
        numpy.ndarray.argmax
        """
        skipna = nv.validate_argmax_with_skipna(skipna, args, kwargs)
        i = nanops.nanargmax(_values_from_object(self), skipna=skipna)
        if i == -1:
            return np.nan
        return self.index[i]

    # ndarray compat
Example #14
Source File: test_nanops.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_nanargmax(self):
        with warnings.catch_warnings(record=True):
            func = partial(self._argminmax_wrap, func=np.argmax)
            self.check_funs(nanops.nanargmax, func,
                            allow_str=False, allow_obj=False,
                            allow_date=True, allow_tdelta=True)