Pandas Stack Dataframes Vertically

Check the vertical stacking of DataFrames with our tutorial. Learn how to use the 'concat' function to reshape your data and efficiently combine multiple DataFrames in a vertical orientation. Streamline your data manipulation tasks and enhance your data analysis skills with Pandas.
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Data Used in the Video:
import pandas as pd
df1 = pd.DataFrame({
'Name': ['Alice', 'Bob'],
'Age': [25, 30],
'Math': [90, 88],
'Science': [88, 92],
'History': [75, 80]
})

df2 = pd.DataFrame({
'Name': ['Charlie', 'David'],
'Age': [35, 28],
'Math': [78, 92],
'Science': [85, 90],
'History': [70, 85]
})

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Get Answers to:
How do I stack DataFrames vertically in Pandas?
How to add two DataFrames vertically in Pandas?

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