tess

Results 80 issues of tess

some great ideas @bmcdonald3 had for improving #3094! This involves an optimization and improving user experience by not requiring them to set a flag > Null flag was a good...

performance

I discovered this when working with dataframes containing segarrays since the recent change in df indexing (see https://github.com/Bears-R-Us/arkouda/pull/3109) has changed what is returned ```python >>> test_df = ak.DataFrame({'test': ak.SegArray(ak.arange(10), ak.arange(10))})...

bug

per a user: > Hey all! It's come to my attention that a few times new Arkouda installers find this page first: https://pypi.org/project/arkouda/ and attempt those installation instructions which are...

Add `exponential` and `standard_exponential` to our random number generators Relevant numpy docs: - [numpy.random.Generator.standard_exponential](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.standard_exponential.html) - [numpy.random.Generator.exponential](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.exponential.html)

enhancement

This has debug info for issue #3366, since I'm unable to reproduce this locally Apparently it's failing on the nightly machine even in single locale mode. This make me think...

Right now our implementation of `standard_normal` does a [box-muller transform](https://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform), but numpy uses the [Ziggurat algorithm](https://en.wikipedia.org/wiki/Ziggurat_algorithm). Ziggurat algorithm's wikipedia page says: > Nevertheless, the algorithm is computationally much faster than...

Update our chapel tutorial to make sure everything still runs as expected and update the explanation of copy aggregation

Doc enhancement

add `multivariate_normal` to random number generators Relevant docs: [numpy.random.Generator.multivariate_normal](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.multivariate_normal.html)

add lognormal to random number generators Relevant docs: [numpy.random.Generator.lognormal](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.lognormal.html)

add logistic to random number generators Relevant docs: [numpy.random.Generator.logistic](https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.logistic.html)