Maximum occuring value in each group of group by in pandas

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I want the maximum number of transactions by each customer to a single merchant so I grouped the table by cid after that I am taking the number of times transactions is done by value_counts() which gives repeatition count but how can i get only max values for each cid out of it.

What I have tried:

Python

df.groupby('cid')['merchant'].value_counts()

Posted 29-Sep-21 9:32am

Ashutosh sharma Sep2021

Updated 9-Nov-21 1:52am

PIEBALDconsult

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Ashutosh sharma Sep2021 29-Sep-21 15:33pm

df.groupby('cid')['merchant'].value_counts().head(1) is not working

Patrice T 29-Sep-21 15:46pm

Use Improve question to update your question.
So that everyone can pay attention to this information.

Richard MacCutchan 30-Sep-21 4:37am

You need to show the structure of the datatable, and your code.

Richard MacCutchan 30-Sep-21 4:44am

Try:

df.groupby('cid')['merchant'].max()

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