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Classe « DataFrame »

Méthode pandas.DataFrame.idxmin

Signature de la méthode idxmin

def idxmin(self, axis: 'Axis' = 0, skipna: 'bool' = True, numeric_only: 'bool' = False) -> 'Series' 

Description

help(DataFrame.idxmin)

    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
        The axis to use. 0 or 'index' for row-wise, 1 or 'columns' for column-wise.
    skipna : bool, default True
        Exclude NA/null values. If an entire row/column is NA, the result
        will be NA.
    numeric_only : bool, default False
        Include only `float`, `int` or `boolean` data.

        .. versionadded:: 1.5.0

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

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

    See Also
    --------
    Series.idxmin : Return index of the minimum element.

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

    Examples
    --------
    Consider a dataset containing food consumption in Argentina.

    >>> df = pd.DataFrame({'consumption': [10.51, 103.11, 55.48],
    ...                     'co2_emissions': [37.2, 19.66, 1712]},
    ...                   index=['Pork', 'Wheat Products', 'Beef'])

    >>> df
                    consumption  co2_emissions
    Pork                  10.51         37.20
    Wheat Products       103.11         19.66
    Beef                  55.48       1712.00

    By default, it returns the index for the minimum value in each column.

    >>> df.idxmin()
    consumption                Pork
    co2_emissions    Wheat Products
    dtype: object

    To return the index for the minimum value in each row, use ``axis="columns"``.

    >>> df.idxmin(axis="columns")
    Pork                consumption
    Wheat Products    co2_emissions
    Beef                consumption
    dtype: object

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