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id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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546084523 | https://github.com/pydata/xarray/pull/3425#issuecomment-546084523 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NjA4NDUyMw== | shoyer 1217238 | 2019-10-24T20:16:13Z | 2019-10-24T20:16:13Z | MEMBER | To verify proper escaping, we could validate the generated HTML as XML: https://stackoverflow.com/questions/13742538/how-to-validate-xml-using-python-without-third-party-libs This could be a good use case for Hypothesis. Or you could manually build a dataset with variables of every dtype. |
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546009437 | https://github.com/pydata/xarray/pull/3425#issuecomment-546009437 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NjAwOTQzNw== | shoyer 1217238 | 2019-10-24T16:57:45Z | 2019-10-24T16:57:45Z | MEMBER | Should we expand the |
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545974184 | https://github.com/pydata/xarray/pull/3425#issuecomment-545974184 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NTk3NDE4NA== | shoyer 1217238 | 2019-10-24T15:32:36Z | 2019-10-24T15:32:36Z | MEMBER | +1 for merging this turned off by default, with a plan to switch it on once we're tested it on more datasets and platforms On Thu, Oct 24, 2019 at 8:27 AM Deepak Cherian notifications@github.com wrote:
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545542742 | https://github.com/pydata/xarray/pull/3425#issuecomment-545542742 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NTU0Mjc0Mg== | shoyer 1217238 | 2019-10-23T17:06:59Z | 2019-10-23T17:06:59Z | MEMBER |
How are you measuring this? I see: ```
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545534925 | https://github.com/pydata/xarray/pull/3425#issuecomment-545534925 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NTUzNDkyNQ== | shoyer 1217238 | 2019-10-23T16:47:28Z | 2019-10-23T16:47:28Z | MEMBER | Here's what we're currently looking at!
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545219988 | https://github.com/pydata/xarray/pull/3425#issuecomment-545219988 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NTIxOTk4OA== | shoyer 1217238 | 2019-10-23T01:13:41Z | 2019-10-23T01:13:41Z | MEMBER | We probably should be careful to use |
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545205143 | https://github.com/pydata/xarray/pull/3425#issuecomment-545205143 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NTIwNTE0Mw== | shoyer 1217238 | 2019-10-22T23:59:53Z | 2019-10-23T00:02:37Z | MEMBER | I just gave this a try in Chrome / Google Colab. It's looking great! Here's the The alignment of "Dimensions" line does looks a little off -- would that be easy to fix? There's also a strange alignment thing with the three circle icon in array repr, which maybe could be moved to the right side?
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545200472 | https://github.com/pydata/xarray/pull/3425#issuecomment-545200472 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NTIwMDQ3Mg== | shoyer 1217238 | 2019-10-22T23:37:46Z | 2019-10-22T23:37:46Z | MEMBER |
You could consider running the CSS through some sort of preprocessing tool to minify it, e.g., to remove all the spaces. But my guess is that it's probably fine. It would be informative to measure the size of the output HTML encoded as UTF-8 bytes for some example datasets. For context, a simple line chart from matplotlib is ~20 KB when saved as a PNG image. Anything in that ball-park would be OK, up to perhaps a few hundred KB for really big datasets with lots of variables. |
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545113428 | https://github.com/pydata/xarray/pull/3425#issuecomment-545113428 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NTExMzQyOA== | shoyer 1217238 | 2019-10-22T19:19:20Z | 2019-10-22T19:19:20Z | MEMBER |
I don't think it would ever be expanded. The collapsed icon is just there for visual consistency. |
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544770938 | https://github.com/pydata/xarray/pull/3425#issuecomment-544770938 | https://api.github.com/repos/pydata/xarray/issues/3425 | MDEyOklzc3VlQ29tbWVudDU0NDc3MDkzOA== | shoyer 1217238 | 2019-10-22T01:15:19Z | 2019-10-22T01:15:19Z | MEMBER | This looks fantastic! Really great to have you working on this! Some specific feedback:
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