pandas.core.groupby.DataFrameGroupBy.all

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

Return whether all elements are True over requested axis

Parameters:

axis : {index (0), columns (1)} skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a Series bool_only : boolean, default None Include only boolean data. If None, will attempt to use everything, then use only boolean data

Returns:

all : Series or DataFrame (if level specified)