pull_requests: 201498661

This data as json

id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
201498661 MDExOlB1bGxSZXF1ZXN0MjAxNDk4NjYx 2287 closed 0 ENH: Adapt scipy example to imageio 2089799 Hello :) I am working on multi-dimensional bioimages (3D volume / time / wavelength), but the preferred file formats in microscopy communities are TIFF and its derivatives. After some trial and errors, I have managed to piece together [(`imageio`)](https://github.com/imageio/imageio) as one of the backends. I am aware that there is `rasterio` for GeoTIFF, but consider `imageio` has decoders for other bioimage favored formats, I've still decide to give it a try. Currently, only read is possible, haven't figured out how to properly write back, since these image containers have slightly different design philosophy then netcdf format, would love to have some feedbacks or comments. If read-only is okay for review, here it is :p --- - [ ] Closes #xxxx (remove if there is no corresponding issue, which should only be the case for minor changes) - [ ] Tests added (for all bug fixes or enhancements) - [ ] Tests passed (for all non-documentation changes) - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later) 2018-07-15T13:38:21Z 2022-04-07T20:21:35Z 2022-04-07T20:21:35Z   78aca34163b97f43d59d374dd74139116f194ed2     0 76f7926b9eb5e42bc641f93cc270700e5615ee62 7bf9df9d75c40bcbf2dd28c47204529a76561a3f NONE   13221727 https://github.com/pydata/xarray/pull/2287  

Links from other tables