'split single df column into multiple columns based on value (python) [duplicate]
I'm new to python, an am working on support scripts to help me import data from various sources. within the df are several years of daily values. I would like to split & sort the daily_cfs column into multiple separate columns based on the water_year value. Would this require groupby or would a pivot table be better?
in short I want to turn df:
into another df resembling this:
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