Truth.idxmin

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Truth.idxmin#

missionbio.demultiplex.dna.truth.Truth.idxmin

Truth.idxmin(axis: Union[str, int] = 0, skipna: bool = True, numeric_only: bool = False) → Series#

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.

skipnabool, default True

Exclude NA/null values. If an entire row/column is NA, the result will be NA.

numeric_onlybool, default False

Include only float, int or boolean data.

New in version 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

< Class Truth

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