Christopher Whelan

@sebasv Sorry for the lack of response here, I've had significantly less bandwidth this year. I believe it's possible to match numpy's output while also being faster. I have some...

Seems straightforward enough. I'm trying to pin down the exact casting behavior of the old `scipy.stats.ss()` (seeing some discrepancies with `hypothesis` fuzz testing), but once that's nailed down a `nanss`...

@parmar652 Could you fill out the requested bug details (eg, what OS and python version this is)?

To be honest, I hadn't considered it. Are you looking to avoid a pandas dependency or see this as a way to get more performance?

Okay, thanks for clarifying. I'll keep this open in case someone would like to try out PRs in this vein, but probably won't take a more serious look at this...

@kefirbandi Absolutely would be considered given it's already in our API and there's no real equivalent in `numpy`. I'd suggest benchmarking any solution you have against `pandas` and make sure...

Could you please provide exact versions of each of those dependencies, as well as the operating system?

@ArasAzimi Thank you, I will attempt to reproduce locally.

@thor-kiessling Thanks for opening this issue! I've admittedly not used numba recently - could you provide a few example snippets you think should work and I'll try to debug from...

I believe this is simple to fix, thanks for reporting!