Pandas Stack All Levels

Explore Pandas' 'stack' function to the fullest. Learn how to stack all levels of your multi-indexed DataFrames to streamline your data transformation tasks. This tutorial simplifies complex data structures and equips you with valuable Pandas skills for more advanced data analysis
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Data Used in the Video:
import pandas as pd
df = pd.DataFrame({
('2023', 'Q1', 'Sales'): [100, 150, 120],
('2023', 'Q1', 'Expenses'): [50, 60, 55],
('2023', 'Q2', 'Sales'): [130, 180, 140],
('2023', 'Q2', 'Expenses'): [60, 70, 65],
})
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Get Answers to:
How do I stack all columns into one panda?
What does stack () do in Pandas?

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