issue_comments: 115031906
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| 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/issues/185#issuecomment-115031906 | https://api.github.com/repos/pydata/xarray/issues/185 | 115031906 | MDEyOklzc3VlQ29tbWVudDExNTAzMTkwNg== | 5356122 | 2015-06-24T22:30:09Z | 2015-06-24T22:30:09Z | MEMBER | Starting on this now. Some more relevant notes: xray + matplotlib Wrap matplotlib using xray metadata wrap matplotlib methods directly but label axes with xray metadata automatically. Just like pandas plot method. Ideally, this should use plot submethods like x.plot.contourf() or x.plot_contourf(), similar to plans for pandas. Grid 2D images easily Given a 3D DataArray, "group by" one dimension on which to show the remaining 2D image for each tick. These images can simply be wrapped, as in ggplot's facet_wrap. lower priority: given an nd DataArray, facet_grid on multiple dimensions, showing 2D images on each. For API inspiration, consider seaborn’s FacetGrid. |
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