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- Plot methods · 7 ✖
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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132307937 | https://github.com/pydata/xarray/issues/185#issuecomment-132307937 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDEzMjMwNzkzNw== | clarkfitzg 5356122 | 2015-08-18T18:25:39Z | 2015-08-18T18:25:39Z | MEMBER | Closed by #466 |
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Plot methods 38109425 | |
120210790 | https://github.com/pydata/xarray/issues/185#issuecomment-120210790 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDEyMDIxMDc5MA== | clarkfitzg 5356122 | 2015-07-10T03:13:32Z | 2015-07-10T03:13:32Z | MEMBER | @shoyer good point- I hadn't yet considered that. |
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Plot methods 38109425 | |
120149412 | https://github.com/pydata/xarray/issues/185#issuecomment-120149412 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDEyMDE0OTQxMg== | shoyer 1217238 | 2015-07-09T21:30:13Z | 2015-07-09T21:30:13Z | MEMBER | something to consider: we should make sure we can handle NaNs properly (by converting to masked array). |
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Plot methods 38109425 | |
120102545 | https://github.com/pydata/xarray/issues/185#issuecomment-120102545 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDEyMDEwMjU0NQ== | clarkfitzg 5356122 | 2015-07-09T18:45:19Z | 2015-07-09T18:45:19Z | MEMBER | @nbren12 Thanks for the input! I'll add a link to that library in the docs. By the way, development is happening on this branch now: https://github.com/xray/xray/tree/feature-plotting |
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Plot methods 38109425 | |
115031906 | https://github.com/pydata/xarray/issues/185#issuecomment-115031906 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDExNTAzMTkwNg== | clarkfitzg 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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Plot methods 38109425 | |
49495814 | https://github.com/pydata/xarray/issues/185#issuecomment-49495814 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDQ5NDk1ODE0 | shoyer 1217238 | 2014-07-19T01:29:20Z | 2014-07-19T01:29:20Z | MEMBER | I would start by adding Yes, I like the cartopy API better than basemap, because you can just provide an appropriate |
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Plot methods 38109425 | |
49478124 | https://github.com/pydata/xarray/issues/185#issuecomment-49478124 | https://api.github.com/repos/pydata/xarray/issues/185 | MDEyOklzc3VlQ29tbWVudDQ5NDc4MTI0 | jhamman 2443309 | 2014-07-18T20:49:39Z | 2014-07-18T20:49:39Z | MEMBER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Plot methods 38109425 |
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