You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks @joshmoore. This would be great, just a mention in routines.io.rst would be a good start.
I have opened numpy/numpy#15760 for the bigger topic of adding a nice How-To guide to the NumPy docs on how to deal with array data storage. Thoughts there on content for that How-To are very welcome.
I'm starting to put together more relative well-fleshed-out doc proposals like that for NumPy so we have more interesting documentation / educational materials work that people interested in that can engage with.
The question arose at the EOSS kickoff meeting whether it would be possible to make a suggestion for the numpy io documentation (https://numpy.org/devdocs/reference/routines.io.html) for use of zarr as a (eventually the preferred?) mechanism for persisting numpy arrays. Text is needed for the top under "Input and Output" at the top as well a block dedicated to Zarr down below. Minimally a PR against https://github.com/numpy/numpy/blob/master/doc/source/reference/routines.io.rst is needed, but there may be other locations that need cross-referencing.
cc: @rgommers @zarr-developers/core-devs
The text was updated successfully, but these errors were encountered: