DataFrame.all(axis: Union[int, str] = 0) → Series[source]

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)

axis{0 or ‘index’}, default 0

Indicate which axis or axes should be reduced.

  • 0 / ‘index’ : reduce the index, return a Series whose index is the original column labels.



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