In this python pandas program, we will count the number of missing values in each column of a DataFrame.
Steps to solve the program
- Import pandas library as pd.
- Create a dataframe using pd.DataFrame().
- Count the number of missing values in each column of a DataFrame using df.isna().sum().
- Print the output.
import pandas as pd
import numpy as np
df = pd.DataFrame({'Sr.no.':[1,2,3,4],
'Name':['Alex',np.nan,'Peter','Klaus'],
'Age':[30,np.nan,29,np.nan]})
print("Original Dataframe: \n",df)
print("Identify the columns which have at least one missing value:")
print(df.isna().sum())
Output :
Original Dataframe:
Sr.no. Name Age
0 1 Alex 30.0
1 2 NaN NaN
2 3 Peter 29.0
3 4 Klaus NaN
Identify the columns which have at least one missing value:
Sr.no. 0
Name 1
Age 2
dtype: int64