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>>> arr = ndtest((3, 4)) >>> arr.describe('a', 'b0,b1 >> b01;b1,b2 >> b12') >>> arr.describe_by('b0,b1 >> b01;b1,b2 >> b12') b\statistic count mean std min 25% 50% 75% max b01 6.0 4.5 0.0 0.0 2.25 4.5 6.75 9.0 b12 6.0 5.5 0.0 1.0 3.25 5.5 7.75 10.0
The correct result should be:
b\statistic count mean std min 25% 50% 75% max b01 6.0 4.5 3.6193922141707713 0.0 1.75 4.5 7.25 9.0 b12 6.0 5.5 3.6193922141707713 1.0 2.75 5.5 8.25 10.0
For example:
>>> arr['b0,b1'].describe() statistic count mean std min 25% 50% 75% max 6.0 4.5 3.6193922141707713 0.0 1.75 4.5 7.25 9.0
I think this is related to #1118. In fact, I think these are two different symptoms for the same bug: because of the way group aggregates and axis aggregates are not done at the same time.