Get differences between two pandas DataFrames

# Import libraries
import pandas as pd
import numpy as np 

# Create sample dataframes
df1 = pd.DataFrame({'city': ['Paris', 'Lyon',  'Marseille', 'Lille', 'Strasbourg'],
                    'population': [2148000, 513300, 861635, 232741, 277270]})
df2 = df1.copy()
df2.iloc[1,1] = 0

df2

	city	population
0	Paris	2148000
1	Lyon	0
2	Marseille	861635
3	Lille	232741
4	Strasbourg	277270

Check if DataFrames are identical

# Check if dataframes are identical
df1.equals(df2)

False

Get delta rows between DataFrames

# Get rows that are different between dataframes, with `drop_duplicates()`
pd.concat([df1,df2]).drop_duplicates(keep=False)

	city	population
1	Lyon	513300
1	Lyon	0

# Get delta rows with `merge()`
df1.merge(df2, how='outer', indicator=True).loc[lambda x: x['_merge'] != "both"]

	city	population	_merge
1	Lyon	513300	left_only
5	Lyon	0	right_only

Get common rows between DataFrames

# Get common rows between dataframes
df1.merge(df2, how='inner')

	city	population
0	Paris	2148000
1	Marseille	861635
2	Lille	232741
3	Strasbourg	277270