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  • Zac-HD · 1 ✖

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  • xr.cov() and xr.corr() · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
633336577 https://github.com/pydata/xarray/pull/4089#issuecomment-633336577 https://api.github.com/repos/pydata/xarray/issues/4089 MDEyOklzc3VlQ29tbWVudDYzMzMzNjU3Nw== Zac-HD 12229877 2020-05-25T01:39:49Z 2020-05-25T08:29:16Z CONTRIBUTOR

Also, I don't think there is a hypothesis.extra.xarray module, yet. Any comments on that, @Zac-HD?

Not yet, though I'm interested in collaborations to write one!

Our existing Numpy + Pandas integrations, along with the st.builds() and @st.composite strategies, make it reasonably straightforward-if-tedious to compose the objects you want in exquisite detail... the real challenge is to design a clean high-level API which lets you control only the parts you care about. Plausibly we have to let go of that last part to make this work, and just point people at the low-level tools if high-level isn't working.

This third-party module is unidiomatic in that it doesn't have the API design above, but I believe it works. rdturnermtl has a history of great features; we eventually got idiomatic high-performance gufunc shapes upstream and I'm confident we'll get Xarray support eventually too... and sooner if there are people who can help design it :smile:

Just \@-mention me again if this comes up, or I won't be notified.

 
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   xr.cov() and xr.corr() 623751213

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