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Description
related to #28426 from PR #28428
from functools import partial
import pandas as pd
import numpy as np
quant50 = partial(np.percentile, q=50)
quant70 = partial(np.percentile, q=70)
test = pd.DataFrame({'col1': ['a', 'a', 'b', 'b', 'b'], 'col2': [1,2,3,4,5]})
test.groupby('col1').agg({'col2': [quant50, quant70]})
However, quant50 result is rewritten by quant70, so will get the same output on both columns.
output:
| col1 | percentile | percentile |
|---|---|---|
| a | 1.7 | 1.7 |
| b | 4.4 | 4.4 |
expected output:
| col1 | percentile | percentile |
|---|---|---|
| a | 1.5 | 1.7 |
| b | 4.0 | 4.4 |