How to count nan values in a pandas DataFrame?

Question

What is the best way to account for (not a number) nan values in a pandas DataFrame?

The following code:

import numpy as np
import pandas as pd
dfd =         


        

Answer 1

dfd['a'].isnull().value_counts()

return :

• (True 695
• False 60,
• Name: a, dtype: int64)

• True : represents the null values count
• False : represent the non-null values count