# Check for an empty dataframe using pandas: data = {'num': [1,'Nan',3,4,'NaN']} df = pd.DataFrame(data) ''' True: the DataFrame is empty False: the DataFrame contains values ''' df.empty
df_empty = pd.DataFrame({'A' : []}) df_empty.empty # True
df.empty == True