cudf.Index.min#

Index.min(axis=0, skipna=True, numeric_only=False, **kwargs)[source]#

Return the minimum of the values in the DataFrame.

Parameters:

axis: {index (0), columns(1)}: Axis for the function to be applied on.
skipna: bool, default True: Exclude NA/null values when computing the result.
numeric_only: bool, default False: If True, includes only float, int, boolean columns. If False, will raise error in-case there are non-numeric columns.

Returns:

Series

Examples

>>> import cudf
>>> df = cudf.DataFrame({'a': [1, 2, 3, 4], 'b': [7, 8, 9, 10]})
>>> min_series = df.min()
>>> min_series
a    1
b    7
dtype: int64
>>> min_series.min()
1

Pandas Compatibility Note

pandas.DataFrame.min(), pandas.Series.min()

Parameters currently not supported are level, numeric_only.