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

To count just null values, you can use isnull():

In [11]:
dfd.isnull().sum()

Out[11]:
a    2
dtype: int64

Here a is the column name, and there are 2 occurrences of the null value in the column.