Pandas Stack Dataframes

Clear up any confusion surrounding stacking DataFrames with our comprehensive Pandas Stack tutorial. Learn how to effectively use the 'stack' function to reshape your data and gain a solid understanding of this crucial data manipulation technique. Enhance your data analysis skills and unlock the full potential of Pandas for handling complex datasets.
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Data Used in the Video:
import pandas as pd
df = pd.DataFrame({
'Name': ['Alice', 'Bob', 'Charlie'],
'Age': [22, 23, 24],
'Math': [90, 88, 95],
'Science': [88, 91, 89],
'History': [75, 78, 80],
'English': [85, 87, 86],
'Physics': [92, 89, 90],
'Chemistry': [78, 79, 84]
})
df
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[@physimanuel158]

Thank you brother, you explained so well and easy. I was stuck on this topic on a Datacamp course, It is on multi level indexing but i could not understand the basics but now i have through this video.