0.8.1

0.8.1 adds an experimental NUMBAGG_FASTMATH env var option (thanks @frazane) which increases performance in some routines at the cost of minor inaccuracy. Feel free to provide feedback in an issue if you find this helpful (or unhelpful!). There's also a change for numpy 2.0 compatibility (thanks @mathause), and some internal improvements.

0.8.0

0.8.0 includes nanmedian, a wrapper of nanquantile with one quantile of 0.5.

0.7.2

0.7.2 raises an error if values outside [0, 1] are passed to nanquantile

0.7.1

0.7.1 removes a stray print statement from the code. Thanks to @mathause for raising and fixing the issue.

0.7.0

0.7.0 adds a ddof argument to std & var aggregation & grouping functions. Internally, there are lots of new benchmarks, which are more clearly presented in the Readme, and added some initial property tests.

0.6.8

0.6.8 contains mostly internal changes — the initial benchmarking approach is expanded to all functions and displayed in the new Readme. The same framework is now used to test all functions. We also ensure the functions don't emit warnings when handling expected inputs in our tests.

0.6.7

0.6.7 removes the temporary patch for the int8 issues we experienced previously in grouping functions, replacing it with something more robust. Specifically, when there are a very large number of items in a group and labels has a very small dtype, labels is cast to a higher dtype.

0.6.6

Following closely on the heels of 0.6.5, 0.6.6 works around another rare but serious bug with int8 types. We now coerce all int8 label arrays to int16.

Many thanks to @dcherian for the report.

0.6.5

0.6.5 works around a rare but serious bug — when a labels array with int8 type is used in a group function, numbagg can return an incorrect result. The bug requires the array to be a specific size. The currently implemented solution is a workaround rather than an understanding of the underlying issue. Check out #211 for more details.

0.6.4

0.6.4 fixes a small bug — the value for the window argument for rolling methods couldn't be equal to the axis length.