Python — Show unmatched rows from two dataframes

If you are working as a Python developer and you have to validate the existing data with new incoming datasets then it would not be an easy job for you.

For an example, you have some users data in a dataframe-1 and you have to new users data in a dataframe-2, then you have to find out all the unmatched records from dataframe-2 by comparing with dataframe-1 and report to the business for the reason of these records.

So, we are here to show you the logic to get these unmatched records from two datasets/dataframes in Python.

# pandas library for data manipulation in python
import pandas as pd
#create NaN Values in Pandas DataFrame by numpy
import numpy as np

#creating dataframe-1
df1 = pd.DataFrame({
‘Name’: [‘Ryan’,’Rosy’,’Wills’,’Tom’,’Alice’,’Volter’,’Jay’,’John’,’Ronny’],
‘Age’: [25,26,14,19,22,28,30,32,28],
‘Height’: [189.0,193.0,200.0,155.0,165.0,170.0,172.0,156.0,165.0]})

#creating dataframe-2
df2 = pd.DataFrame({
‘Name’: [‘Ryan’,’Rosy’,’Wills’,’Tom’,’Alice’,np.nan,’Jay’,’John’,’Ronny’],
‘Age’: [25,26,14,0,22,28,30,32,28],
‘Height’…