df = pd.DataFrame({'Name': ['Minecraft', 'Grand Theft Auto V', 'Tetris (EA)', 'Wii Sports', 'PUBG: Battlegrounds', ], 'Genre': ['Survival,Sandbox', 'Action-adventure ...
A pivot table with intermediate and final results both by rows and by columns is already in Python. Pivot tables are an undeniably cool thing for analyzing (summarizing, aggregating) multi-category ...
Primarily started with a single excel file. Loaded that in Jupyter Notebook using Pandas. Created Pivot table with 3 important columns and all the entries. Exported that pivot table in a new Excel ...
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