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We are given two files and our tasks is to compare two CSV files based on their differences in Python. In this article, we will see some generally used methods for comparing two CSV files and print differences. Compare Two CSV Files for Differences in PythonBelow are some of the ways by which we can compare two CSV files for differences in Python:
file1.csv Name,Age,City
John,25,New York
Emily,30,Los Angeles
Michael,40,Chicago file2.csv Name,Age,City
John,25,New York
Michael,45,Chicago
Emma,35,San Francisco Compare Two CSV Files Using Pandas libraryIn this approach, the Python Program loads both the CSV files (‘file1.csv’ & ‘file2.csv’) into two DataFrames. Once the CSV files are loaded, the compare() method provided by Pandas allows us to efficiently identify differences between the two DataFrames by comparing each corresponding row between the two DataFrames.
Output Differences between file1 and file2:
Name Age City
self other self other self other
1 Emily Michael 30.0 45.0 Los Angeles Chicago
2 Michael Emma 40.0 35.0 Chicago San Francisco Compare Two CSV Files Using CSV ModuleIn this approach, the Python Program reads both the CSV files (‘file1.csv’ & ‘file2.csv’) using csv.reader function in reading mode. Then iterate over the rows of both CSV files and compare them.
Output Difference found: (['Emily', '30', 'Los Angeles'], ['Michael', '45', 'Chicago']) Difference found: (['Michael', '40', 'Chicago'], ['Emma', '35', 'San Francisco']) |
Reffered: https://www.geeksforgeeks.org
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Type: | Geek |
Category: | Coding |
Sub Category: | Tutorial |
Uploaded by: | Admin |
Views: | 14 |