bigframes.pandas.DataFrame.all#

DataFrame.all(axis: str | int = 0, *, bool_only: bool = False) → Series[source]#

Return whether all elements are True, potentially over an axis.

Returns True unless there at least one element within a Series or along a DataFrame axis that is False or equivalent (e.g. zero or empty).

Examples:

>>> df = bpd.DataFrame({"A": [True, True], "B": [False, False]})
>>> df
        A        B
0    True    False
1    True    False

[2 rows x 2 columns]

Checking if all values in each column are True(the default behavior without an explicit axis parameter):

>>> df.all()
A     True
B    False
dtype: boolean

Checking across rows to see if all values are True:

>>> df.all(axis=1)
0    False
1    False
dtype: boolean

Parameters:

• axis ({index (0), columns (1)}) Axis for the function to be applied on. For Series this parameter is unused and defaults to 0.

• bool_only (bool. default False) Include only boolean columns.

Returns:

Series indicating if all elements are True per column.

Return type:

bigframes.pandas.Series