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Python Pandas - Check if the dataframe objects are equal or not
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
Updated on: 14-Sep-2021
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