To find the difference between two DataFrame, you need to check for its equality. Also, check the equality of columns.
Let us create DataFrame1 with two columns −
dataFrame1 = pd.DataFrame( { "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'], "Units": [100, 150, 110, 80, 110, 90] } )
Create DataFrame2 with two columns −
dataFrame2 = pd.DataFrame( { "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'], "Units": [100, 150, 110, 80, 110, 90] } )
Check for the equality of a specific column “Units” −
dataFrame2['Units'].equals(dataFrame1['Units'])
Check for equality of both the DataFrames −
Are both the DataFrames equal?",dataFrame1.equals(dataFrame2)
Example
Following is the code −
import pandas as pd # Create DataFrame1 dataFrame1 = pd.DataFrame( { "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'], "Units": [100, 150, 110, 80, 110, 90] } ) print"DataFrame1 ...\n",dataFrame1 # Create DataFrame2 dataFrame2 = pd.DataFrame( { "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'], "Units": [100, 150, 110, 80, 110, 90] } ) print"\nDataFrame2 ...\n",dataFrame2 # check for specific column Units equality print"\nBoth the DataFrames have similar Units column? ",dataFrame2['Units'].equals(dataFrame1['Units']) # check for equality print"\nAre both the DataFrames equal? ",dataFrame1.equals(dataFrame2)
Output
This will produce the following output −
DataFrame1 ... Car Units 0 BMW 100 1 Lexus 150 2 Audi 110 3 Mustang 80 4 Bentley 110 5 Jaguar 90 DataFrame2 ... Car Units 0 BMW 100 1 Lexus 150 2 Audi 110 3 Mustang 80 4 Bentley 110 5 Jaguar 90 Both the DataFrames have similar Units column? True Are both the DataFrames equal? True