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How to do left outer join exclusion in pandas

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to do left outer join exclusion in pandas in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to do left outer join exclusion in pandas?

  1. How to do left outer join exclusion in pandas?

    I think it would go something like the examples in: Pandas left outer join multiple dataframes on multiple columns

  2. do left outer join exclusion in pandas

    I think it would go something like the examples in: Pandas left outer join multiple dataframes on multiple columns

Method 1

df = pd.merge(dfA, dfB, on=['a','b'], how="outer", indicator=True)
df = df[df['_merge'] == 'left_only']

One liner :

df = pd.merge(dfA, dfB, on=['a','b'], how="outer", indicator=True
              ).query('_merge=="left_only"')

Method 2

I think it would go something like the examples in: Pandas left outer join multiple dataframes on multiple columns

dfe = pd.merge(dFA, dFB, how='left', on=['a','b'], indicator=True)
dfe[dfe[_merge] == 'left_only']

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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