You can use pandas .isnull() function to find the null elements of a column in Pandas. Then, you can call the .sum() function to find the total number of null values in pandas dataframe.

The syntax for finding the total number of null values in Pandas:

df.isnull().sum()

The following syntax can be demonstrated using an example in Python:

import pandas as pd

df = pd.DataFrame({'Name': ['Steve Smith', None, None], 'Age':[32, None, 36]})
df.head()
How to find the total number of null values in pandas dataframe?

Now, finding the total number of null values in the pandas dataframe

How to find the total number of null values in pandas dataframe the click reader
df.isnull().sum()
Output of How to find the total number of null values in pandas dataframe - The Click Reader

This is how you find the total number of null values in pandas.

In Conclusion

Do you have any problems finding the total number of null values in a Pandas dataframe in Python? Let us know in the comment section below.

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