Python pandas.core.frame.DataFrame.idxmax() Examples

The following are 3 code examples of pandas.core.frame.DataFrame.idxmax(). 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.frame.DataFrame , or try the search function .
Example #1
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 #2
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 #3
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