How to Use Pandas Concat Join Inner vs Outer

In this video learn Pandas Concat Join Inner vs Outer. I will show you how to use join inner vs outer in this pandas tutorial. There is signifiant difference between pandas concat join inner vs outer.

Video Informations:
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})

df2 = pd.DataFrame({'B': [7, 8, 9], 'C': [10, 11, 12]})

join='outer': This includes all columns from both DataFrames in the result. If a column exists in one DataFrame but not in the other, it will be filled with NaN values.

join='inner': This only includes columns that have the same name in both DataFrames in the result.

Get Answers to:
What is the difference between inner join and outer join in Pandas concat?
What is the difference between concat and join in Pandas?

#pythonpandas #python #pythonprogramming

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