Pandas GroupBy and select rows with the minimum value in a specific column

Question

I am grouping my dataset by column A and then would like to take the minimum value in column B and the corresponding value in column C.

data = pd.DataFrame({\'A\         


        

Answer 1

I feel like you're overthinking this. Just use groupby and idxmin:

df.loc[df.groupby('A').B.idxmin()]

   A  B   C
2  1  2  10
4  2  4   4

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df.loc[df.groupby('A').B.idxmin()].reset_index(drop=True)

   A  B   C
0  1  2  10
1  2  4   4

Answer 2

Had a similar situation but with a more complex column heading (e.g. "B val") in which case this is needed:

df.loc[df.groupby('A')['B val'].idxmin()]