def idxmin(self, axis=<NUM_LIT:0>, skipna=True):
axis = self._get_axis_number(axis)<EOL>indices = nanops.nanargmin(self.values, axis=axis, skipna=skipna)<EOL>index = self._get_axis(axis)<EOL>result = [index[i] if i >= <NUM_LIT:0> else np.nan for i in indices]<EOL>return Series(result, index=self._get_agg_axis(axis))<EOL>
Return index of first occurrence of minimum over requested axis.
NA/null values are excluded.

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

Returns
-------
Series
    Indexes of minima along the specified axis.

Raises
------
ValueError
    * If the row/column is empty

See Also
--------
Series.idxmin

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