def min(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs):
        """Perform min across the DataFrame.

        Args:
            axis (int): The axis to take the min on.
            skipna (bool): True to skip NA values, false otherwise.

        Returns:
            The min of the DataFrame.
        """
        axis = self._get_axis_number(axis) if axis is not None else 0
        data = self._validate_dtypes_min_max(axis, numeric_only)
        return data._reduce_dimension(
            data._query_compiler.min(
                axis=axis,
                skipna=skipna,
                level=level,
                numeric_only=numeric_only,
                **kwargs
            )
        )
def min ( self , axis = None , skipna = None , level = None , numeric_only = None , ** kwargs ) : axis = self . _get_axis_number ( axis ) if axis is not None else 0 data = self . _validate_dtypes_min_max ( axis , numeric_only ) return data . _reduce_dimension ( data . _query_compiler . min ( axis = axis , skipna = skipna , level = level , numeric_only = numeric_only , ** kwargs ) )
Perform min across the DataFrame.

        Args:
            axis (int): The axis to take the min on.
            skipna (bool): True to skip NA values, false otherwise.

        Returns:
            The min of the DataFrame.