Check if DataFrame Objects are Equal in Python Pandas

To check if the DataFrame objects are equal, use the equals() method. At first, let us create DataFrame1 with two columns −

dataFrame1 = pd.DataFrame(
   {
      "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
      "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
   }
)

Create DataFrame2 with two columns 

dataFrame2 = pd.DataFrame(
   {
      "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
      "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]

   }
)

To check if the DataFrame objects are equals, use the equals() method

dataFrame1.equals(dataFrame2)

Example

Following is the code

import pandas as pd

# Create DataFrame1
dataFrame1 = pd.DataFrame(
   {
      "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
      "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
   }
)

print"DataFrame1 ...\n",dataFrame1

# Create DataFrame2
dataFrame2 = pd.DataFrame(
   {
      "Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
      "Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]

   }
)

print"\nDataFrame2 ...\n",dataFrame2

# check for equality
print"\nAre both the DataFrame objects equal? ",dataFrame1.equals(dataFrame2)

Output

This will produce the following output

DataFrame1 ...
       Car   Reg_Price
0      BMW        7000
1    Lexus        1500
2     Audi        5000
3  Mustang        8000
4  Bentley        9000
5   Jaguar        6000

DataFrame2 ...
       Car   Reg_Price
0      BMW        7000
1    Lexus        1500
2     Audi        5000
3  Mustang        8000
4  Bentley        9000
5   Jaguar        6000

Are both the DataFrame objects equal? True