pandas.DataFrame.all

DataFrame.all(axis=None, bool_only=None, skipna=True, level=None, **kwargs)

Return whether all elements are True over requested axis. %(na_action)s

Parameters:

axis : {0, 1}

0 for row-wise, 1 for column-wise

skipna : boolean, default True

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

level : int, default None

If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a DataFrame

bool_only : boolean, default None

Only include boolean data.

Returns:

any : Series (or DataFrame if level specified)