issue_comments: 122483377
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/pull/466#issuecomment-122483377 | https://api.github.com/repos/pydata/xarray/issues/466 | 122483377 | MDEyOklzc3VlQ29tbWVudDEyMjQ4MzM3Nw== | 1217238 | 2015-07-18T04:40:38Z | 2015-07-18T04:40:38Z | MEMBER | @jhamman I'd be happy to bundle viridis with xray as the default colormap (the source code is here) -- or we could just wait a few months, at which time it will be the matplotlib default. @nbren12 Seaborn has some heuristics for picking sequential vs diverging colormaps. Possibly worth borrowing: https://github.com/mwaskom/seaborn/blob/v0.6.0/seaborn/matrix.py#L158 My inclination is to merge this on master and iterate in future PRs. There are still a few things to fix, but this is a great start. |
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