In this python pandas program, we will detect and display missing values from a DataFrame using the pandas library.
Steps to solve the program
- Import pandas library as pd.
- Create a dataframe using pd.DataFrame().
- Detect and display missing values from a DataFrame using df.isna().
- It will show True if the value is missing else False.
- Print the output.
import pandas as pd
import numpy as np
df = pd.DataFrame({'Sr.no.':[1,2,3,4],
'Name':['Alex','John','Peter','Klaus'],
'Age':[30,np.nan,29,np.nan]})
print("Original Dataframe: \n",df)
print(df.isna())
Output :
Original Dataframe:
Sr.no. Name Age
0 1 Alex 30.0
1 2 John NaN
2 3 Peter 29.0
3 4 Klaus NaN
Sr.no. Name Age
0 False False False
1 False False True
2 False False False
3 False False True