The code below
df = pd.DataFrame({
'A': ['a', 'b', 'a', 'b', 'b'],
'B': [1, 2, 3, 4, 8],
'C': [10, 20, 30, 40, 80]})
df[['B', 'C']].agg([min, lambda x: x.quantile(0.3), max])
returns:
| | B C |
| -------- | -------------- |
| min | 1.0 10.0 |
| <lambda> | 2.2 22.0 |
| max | 8.0 80.0 |
Question:*
Is there any way that I can name the lambda function so that the name <lambda> is replaced by sth meaningful?
somehting similar to the code written below (this is pseudo-code and is not working):
df[['B', 'C']].agg([min, def pct30(x): return x.quantile(0.3), max])
instead of:
def pct30(x):
return x.quantile(0.3)
df[['B', 'C']].agg([min, pct30, max])
to return:
| | B C |
| -------- | -------------- |
| min | 1.0 10.0 |
| pct30 | 2.2 22.0 |
| max | 8.0 80.0 |