Python Pandas program to count the NaN values in a Dataframe

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In this python pandas program, we will count the NaN values in a Dataframe using the pandas library.

Steps to solve the program
  1. Import pandas library as pd.
  2. Import NumPy library as np.
  3. Create a dataframe using pd.DataFrame().
  4. Count the NaN values in a Dataframe using df.isnull().values.sum().
  5. Print the output.
				
					import pandas as pd
import numpy as np
d = {'Sr.no.':[1,2,3,4],'Name':['Alex','John','Peter','Klaus'],'Age':[30,np.nan,29,np.nan]}
df = pd.DataFrame(d)
print(df)
print("Nan values in the dataframe: ",df.isnull().values.sum())

Output :

				
					0   Sr.no.   Name   Age
0       1   Alex  30.0
1       2   John   NaN
2       3  Peter  29.0
3       4  Klaus   NaN
Nan values in the dataframe:  2
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