I'm having a Pandas Dataframe and I'm doing a groupby on two columns and have a couple of aggregate functions on a column. Here is how my code looks like
df2 = df[X,Y, Z].groupby([X,Y]).agg([np.mean, np.max, np.min]).reset_index()
It find the aggregate functions on the column Z.
I need to sort by let's say min
(ie sort_values('min')
) column but it keeps complaining that 'min' column does not exist. How can I do that
Since you are generating a pd.MultiIndex, you must use a tuple in sort_values.
Try:
df2.sort_values(('Z','amin'))
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