DataFrame.
all
Return whether all elements are True.
Returns True unless there is at least one element within a series that is False or equivalent (e.g. zero or empty)
Indicate which axis or axes should be reduced.
0 / ‘index’ : reduce the index, return a Series whose index is the original column labels.
Examples
Create a dataframe from a dictionary.
>>> df = ps.DataFrame({ ... 'col1': [True, True, True], ... 'col2': [True, False, False], ... 'col3': [0, 0, 0], ... 'col4': [1, 2, 3], ... 'col5': [True, True, None], ... 'col6': [True, False, None]}, ... columns=['col1', 'col2', 'col3', 'col4', 'col5', 'col6'])
Default behaviour checks if column-wise values all return a boolean.
>>> df.all() col1 True col2 False col3 False col4 True col5 True col6 False dtype: bool