Given the following DataFrame
area point test value A 11 0 1234234 A 11 1 12341234 A 16 0 234234 A 16 1 2343 A 16 2 234234 C 4 0 234234 C 4 1 234234it would be nice if there were a way of grouping say columns area and point and comparing the value per test > 1 with the value for test - 1.
This can be done by iterating over df.groupby(['area', 'point', 'test']) and using the sorting provided by groupby() on the specified columns to compare current and previous values. However, it would be neat if this could also be done in a more Pandas-esque way using something akin to a SQL self-join.
NB request first made in pystatsmodels Google Group; was asked by Wes to create a Github issue for this.
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