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where author_association = "MEMBER", issue = 216621142 and user = 1217238 sorted by updated_at descending

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  • shoyer · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
288947882 https://github.com/pydata/xarray/issues/1323#issuecomment-288947882 https://api.github.com/repos/pydata/xarray/issues/1323 MDEyOklzc3VlQ29tbWVudDI4ODk0Nzg4Mg== shoyer 1217238 2017-03-24T06:58:38Z 2017-03-24T06:58:38Z MEMBER

xr.open_image(File)

What metadata would you get from images? [row, column, channel] for a typical color image? I guess this would usually follow skimage's coordinate conventions

If we added this, we would want to defer all the image reading out to an external library such as skimage, e.g., by leveraging skimage.io.imread

xr.DataArray.expand_dims(dim)

You're definitely not the first person to ask about this: http://stackoverflow.com/questions/34987972/expand-dimensions-xray

Yes, this would definitely be welcome in some form.

 
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   Image related methods 216621142

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
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CREATE INDEX [idx_issue_comments_user]
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