In this python pandas program, we will select the missing rows using pandas library.
Steps to solve the program
- Import pandas library as pd.
- Create a dataframe using pd.DataFrame().
- Select the missing rows in the age column using df[df[‘Age’].isnull()].
- 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("Rows where age is missing:")
print(df[df['Age'].isnull()])
Output :
0 Sr.no. Name Age
0 1 Alex 30.0
1 2 John NaN
2 3 Peter 29.0
3 4 Klaus NaN
Rows where age is missing:
Sr.no. Name Age
1 2 John NaN
3 4 Klaus NaN