Examples
Series
import numpy as np
import pandas as pd
pd.Series([True, True]).all()
pd.Series([False, True]).all()
pd.Series([]).all()
pd.Series([np.nan]).all()
pd.Series([np.nan]).all(skipna=False)
DataFrames
Create a dataframe from a dictionary.
df = pd.DataFrame({'c1': [True, True], 'c2': [True, False]})
df
Default behaviour checks if column-wise values all return True.
df.all()
Specify axis='columns' to check if row-wise values all return True.
df.all(axis='columns')
Or axis=None for whether every value is True.
df.all(axis=None)