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Python – Merge two Pandas DataFrame
To merge two Pandas DataFrame, use the merge() function. Just set both the DataFrames as a parameter of the merge() function.
At first, let us import the required library with alias “pd” −
import pandas as pd
Create the 1st DataFrame −
# Create DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],"Units": [100, 150, 110, 80, 110, 90]
}
)Next, create the 2nd DataFrame −
# Create DataFrame2
dataFrame2 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Mercedes', 'Jaguar'],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
}
)Now, merge both the DataFrames using the merge() function −
mergedRes = pd.merge(dataFrame1, 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', 'Mercedes', 'Jaguar'],"Reg_Price": [7000, 1500, 5000, 8000, 9000, 6000]
}
)
print"\nDataFrame2 ...\n",dataFrame2
# merge DataFrames
mergedRes = pd.merge(dataFrame1, dataFrame2)
print"\nMerged data frame...\n", mergedResOutput
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 Reg_Price 0 BMW 7000 1 Lexus 1500 2 Audi 5000 3 Mustang 8000 4 Mercedes 9000 5 Jaguar 6000 Merged data frame... Car Units Reg_Price 0 BMW 100 7000 1 Lexus 150 1500 2 Audi 110 5000 3 Mustang 80 8000 4 Jaguar 90 6000
Updated on: 22-Sep-2021
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