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[Solved] Solution for SpecificationError: nested renamer is not supported while agg() along with groupby()

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Solution for SpecificationError: nested renamer is not supported while agg() along with groupby() in Python. So Here I am Explain to you all the possible solutions here.

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

How Solution for SpecificationError: nested renamer is not supported while agg() along with groupby() Error Occurs?

Today I get the following error Solution for SpecificationError: nested renamer is not supported while agg() along with groupby() in Python.

How To Solve Solution for SpecificationError: nested renamer is not supported while agg() along with groupby() Error ?

  1. How To Solve Solution for SpecificationError: nested renamer is not supported while agg() along with groupby() Error ?

    To Solve Solution for SpecificationError: nested renamer is not supported while agg() along with groupby() Error I have tried alll the solutions and turned out to be the error with the name. If your column name has some inbuilt keywords such as “in”, “is”,etc., It is throwing error. In my case, My column name is “Points in Polygon” and I have resolved the issue by renaming the column to “Points”

Solution 1

This error also happens if a column specified in the aggregation function dict does not exist in the dataframe:

In [190]: group = pd.DataFrame([[1, 2]], columns=['A', 'B']).groupby('A')
In [195]: group.agg({'B': 'mean'})
Out[195]: 
   B
A   
1  2

In [196]: group.agg({'B': 'mean', 'non-existing-column': 'mean'})
...
SpecificationError: nested renamer is not supported

Solution 2

Do you get the same error if you change

temp['total'] = pd.DataFrame(project_data.groupby(col1)[col2].agg({'total':'count'})).reset_index()['total']

to

temp['total'] = project_data.groupby(col1)[col2].agg(total=('total','count')).reset_index()['total']

Solution 3

I have tried alll the solutions and turned out to be the error with the name. If your column name has some inbuilt keywords such as “in”, “is”,etc., It is throwing error. In my case, My column name is “Points in Polygon” and I have resolved the issue by renaming the column to “Points”

Summery

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

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