Complete newb here, for asking questions on this platform as well as python development.
I was given a script and there is a line of code that works with Pandas 1.4.4, but not Pandas 2.0.0.
The line of code is:
CLEANCPM.groupby(['UNIT_NUM'])['COST'].apply(lambda x:x.cumsum())
When I force install pandas v1.4.4, the script completes without error.
When using Pandas 2.0.0, I get:
"TypeError: incompatible index of inserted column with frame index"
I created a virtual environment and installed Pandas v1.4.4. This is the version that is in the Ananconda distribution I was originally using to run this script in a Jupyter notebook.
When I tried using VSCode and installed Pandas, version 2.0.0 was installed. Then the error started.
I know enough that certain package versions are necessary and that's the point of virtual environments.
Just wondering if I should post an issue on github for this. I found similar looking issue posts, but thought they may be for older (than 1.4.4) pandas versions.
You probably shouldn't use apply+cumsum. You can directly use groupby.cumsum:
CLEANCPM.groupby(['UNIT_NUM'])['COST'].cumsum()
Unlike apply, this will handle the index differently, leaving it unchanged.
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