To check if any specific column of two DataFrames are equal or not, use the equals() method. Let us first 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', 'Mercedes', 'Jaguar'], "Units": [100, 150, 110, 80, 110, 90] } )
Check for the equality of a specific column Units −
dataFrame2['Units'].equals(dataFrame1['Units'])
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 equality print"\nAre both the DataFrame objects equal? ",dataFrame1.equals(dataFrame2) # check for specific column Units equality print"\nAre both the DataFrames have similar Units column? ",dataFrame2['Units'].equals(dataFrame1['Units'] )
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 Are both the DataFrame objects equal? True Are both the DataFrames have similar Units column? True