This is the solution of pandas course (Renaming and Combining) on Kaggle site.
1. Rename Columns
renamed = reviews.rename(columns={'region_1': 'region', 'region_2': 'locale'})
2. Rename an Index
reindexed = reviews.rename_axis('wines', axis='rows')
3. Combine Data Frames
combined_products = pd.concat([gaming_products, movie_products])
4. Combine Data Frames by Index
powerlifting_combined = powerlifting_meets.set_index("MeetID")
.join(powerlifting_competitors.set_index("MeetID"))
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