pandas.DataFrame.isnull

test.csv

col1,col2,col3,col4
00,01,02,03
10,11,12,13
20,21,22,23
30,31,32,33
, , ,
, ,,

example1

import pandas as pd
df = pd.read_csv("test.csv")
print(df.isnull())

#    col1   col2   col3   col4
#0  False  False  False  False
#1  False  False  False  False
#2  False  False  False  False
#3  False  False  False  False
#4   True  False  False   True
#5   True  False   True   True