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id ▼ node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
38700245 MDExOlB1bGxSZXF1ZXN0Mzg3MDAyNDU= 445 closed 0 Feature plotting clarkfitzg 5356122 Opening to get feedback as work is done here. Don't merge yet. 2015-06-27T00:29:19Z 2015-06-30T15:57:53Z 2015-06-30T15:57:16Z   4f389e9621b040dbdafae357570e7155268a6362     0 cb100f9915366eadcda820dbca567852cc4b46f1 fedd28b75ed83a73132c13d462a47b0afea76d06 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/445  
39735619 MDExOlB1bGxSZXF1ZXN0Mzk3MzU2MTk= 466 closed 0 Feature plotting clarkfitzg 5356122 Not complete, but still ready for some feedback! Docs are built here: http://xray.readthedocs.org/en/feature-plotting/plotting.html There are several TODOs around the docs and the code base. For some of these I'm requesting specific feedback. Still need to: - Handle NaN's - Informative TypeError for coords that can't be plotted 2015-07-11T00:18:51Z 2015-07-20T17:47:56Z 2015-07-20T03:19:49Z 2015-07-20T03:19:49Z fa560536cfb30f39c96b5971361bc92be43d974c     0 9a54bedee07643d7ada5f13bab64696cadbab587 b09c8a574aaf71f7567227b0edb5d71b9bede900 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/466  
40412742 MDExOlB1bGxSZXF1ZXN0NDA0MTI3NDI= 485 closed 0 Reorganize plotting module structure and add default color map clarkfitzg 5356122 Now with viridis default color map. 2015-07-21T00:45:16Z 2015-07-21T16:59:15Z 2015-07-21T16:59:15Z 2015-07-21T16:59:15Z e94fcc6401d718252d895f996243ecdb5409ecdd     0 5d7addb12ef6f21d77bf02d83629177910089f7d 68d14fdd2e730cb70f991a0f0549510e942cd0fe MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/485  
41263920 MDExOlB1bGxSZXF1ZXN0NDEyNjM5MjA= 502 closed 0 DataArray plot namespace attribute clarkfitzg 5356122 Use `DataArray.plot` attribute to access `xray.plotting` functions as methods on a DataArray. Example: `da.plot_imshow()` becomes `da.plot.imshow()`, which is equivalent to `xray.plotting.imshow(da)`. Not finished yet, but putting it up here for visibility and feedback. 2015-07-30T18:08:48Z 2015-07-31T21:23:11Z 2015-07-31T21:23:09Z 2015-07-31T21:23:09Z 90681d8b791a968c00aad3486a85f8a31f0ec599     0 fc7085e181bbc8474c954bdb77ff40fa53d8c3dc e5c3fa393a98001bce43c2e8241a83f99edb4088 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/502  
41828638 MDExOlB1bGxSZXF1ZXN0NDE4Mjg2Mzg= 518 closed 0 build local docs using matplotlib Agg backend clarkfitzg 5356122 Addresses discussion in #509. 2015-08-06T20:04:49Z 2015-08-06T20:46:43Z 2015-08-06T20:22:26Z 2015-08-06T20:22:26Z 616f26806dc2d4108cfd37d763c2c8237c169eec     0 dfa73478e339a8f2c065cfee961d0f2cbc6646af a4535b4c00dc8405e581967ac80596a82e98d57d MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/518  
41847648 MDExOlB1bGxSZXF1ZXN0NDE4NDc2NDg= 519 closed 0 2d plot titles clarkfitzg 5356122 Working on faceted plotting now. This will be helpful. It adds a title if the array came from a slice, and labels the colorbar with the variable name. ![image](https://cloud.githubusercontent.com/assets/5356122/9125954/6c30206a-3c5b-11e5-8fd7-98c7ecd2ef0e.png) 2015-08-06T23:53:00Z 2015-08-12T21:48:33Z 2015-08-12T21:48:13Z 2015-08-12T21:48:13Z 9dab56a450a2b8e82ec674debaf95783ce1e2bd0     0 2c0e0f29f7ce1d5e7b1165efd518cde55fb8e242 200aeb006781528cf6d4ca2f118d7f9257bd191b MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/519  
42295340 MDExOlB1bGxSZXF1ZXN0NDIyOTUzNDA= 527 closed 0 faceted plots clarkfitzg 5356122 Opening this to provide visibility as I work on this PR. Currently this has `x` and `y` string arguments for 2d plot working, but everything else still needs lots of work. I'll let people know when it's ready for review. 2015-08-12T22:12:12Z 2015-09-04T22:39:39Z 2015-09-04T22:39:39Z 2015-09-04T22:39:39Z 46a1dcac835e7e3094ca06395d5ee467be763a69     0 3247fdb650bcb49632792fb393ba6e3a2540fbfc 04f4e88bbae14d8c4c8e5d7b3f866751ead90a6c MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/527  
42734358 MDExOlB1bGxSZXF1ZXN0NDI3MzQzNTg= 539 closed 0 release notes for plotting clarkfitzg 5356122 cc @shoyer 2015-08-18T18:50:11Z 2015-08-20T00:19:21Z 2015-08-19T18:26:50Z 2015-08-19T18:26:50Z 4d8c4f1a35236bbe312a2885697c17efc6b5a39d   0.6 1213895 0 315a1d9ec224d99c5a64264aea28e10142eca787 9434b8e4ebb4ba9e29ca5483f9b25ecdb46a4317 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/539  
42962467 MDExOlB1bGxSZXF1ZXN0NDI5NjI0Njc= 543 closed 0 fixes #534- use core.formatting.format_item for slice title clarkfitzg 5356122 Closes #534 The `formatting` for the `__repr__` work perfectly for this. Didn't write any tests since it seems better to directly test the formatting module here. ![image](https://cloud.githubusercontent.com/assets/5356122/9392020/fe2a98c8-472e-11e5-8646-f2c95e04cb64.png) 2015-08-20T18:34:28Z 2015-08-20T20:05:25Z 2015-08-20T20:05:25Z 2015-08-20T20:05:25Z dbe098af862adcc9586e37f3a65a8f113a458dbd     0 c7fa4efca5f4113bfae5cf33ca5b8a513fd91cad 3865ff2a564ba23054b3d6f266f78a8ff70aa4a5 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/543  
42993766 MDExOlB1bGxSZXF1ZXN0NDI5OTM3NjY= 544 closed 0 Tutorial clarkfitzg 5356122 This PR adds the tutorial and real data for most of the plotting examples. Addresses #510. Still need to look through the rest of the docs for places where using real data is more valuable. I _love_ this `xray.tutorial.load_dataset` function. So helpful when trying things out- should've written it long ago. Now plotting examples look like this: ![image](https://cloud.githubusercontent.com/assets/5356122/9398918/d17bc7c4-4761-11e5-8811-3949ba599c27.png) The PR from earlier today should fix the date in the title. Question- Is this the best place to keep the tutorial.py file? 2015-08-21T00:35:37Z 2015-08-21T20:45:42Z 2015-08-21T20:45:42Z 2015-08-21T20:45:42Z 1cd74d2c63c11c23def94b839cb008d858e331ca     0 6efca0d1f43b300535f56c8109066b8527166cf2 4b69878f20033e853ab67d44788ec89defc3ed16 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/544  
43080138 MDExOlB1bGxSZXF1ZXN0NDMwODAxMzg= 547 closed 0 remove facet doc clarkfitzg 5356122   2015-08-21T20:55:35Z 2015-10-21T07:05:47Z 2015-08-21T20:55:43Z 2015-08-21T20:55:43Z 2a597aaf6fd7bf4298f4e557a705f0d1374cb305   0.6.1 1307323 0 d741b85150de887904896b8bdd049f6fd7029941 eaeaa085540f9d98aa09616bf464ef0110a12fd9 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/547  
43208761 MDExOlB1bGxSZXF1ZXN0NDMyMDg3NjE= 550 closed 0 robust plot documentation clarkfitzg 5356122 These are the plots that will be in the docs. ## default ![image](https://cloud.githubusercontent.com/assets/5356122/9449387/1d1f27e6-4a57-11e5-93cf-47f0fedcb222.png) ## `robust=True` ![image](https://cloud.githubusercontent.com/assets/5356122/9449396/32b87d0a-4a57-11e5-826e-3ee71d539edb.png) 2015-08-24T18:57:14Z 2015-10-21T07:05:47Z 2015-08-26T18:11:04Z 2015-08-26T18:11:04Z b0c8b174d363439dbea7f17fbfac52b087eb00f6   0.6.1 1307323 0 82cc37aa2b920f1bfa96688d28f08006a8af8aa1 8847ede760cc00c712a25dced49e6dc0158be966 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/550  
44139573 MDExOlB1bGxSZXF1ZXN0NDQxMzk1NzM= 558 closed 0 cartopy example using real data clarkfitzg 5356122 Use the tutorial dataset for the cartopy example. Image becomes: ![image](https://cloud.githubusercontent.com/assets/5356122/9666849/5f6e3f1e-522d-11e5-8146-d79d7b29f23d.png) 2015-09-03T18:18:17Z 2015-10-21T07:05:48Z 2015-09-03T20:16:19Z 2015-09-03T20:16:19Z fe1ce36c54aa40eb961c3266cb47d80a37834bcc   0.6.1 1307323 0 79423a33f916bdd26f46e0b3de71ead930e47e65 276592cb193a7e39a7be9fc4febff8e02d3d7116 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/558  
44825535 MDExOlB1bGxSZXF1ZXN0NDQ4MjU1MzU= 573 closed 0 minor changes in dask docs clarkfitzg 5356122 fix a couple typos 2015-09-11T20:29:17Z 2015-10-21T07:05:48Z 2015-09-11T20:41:48Z 2015-09-11T20:41:48Z 40c930ccb348fa12853c40cfd166a7ca786e3b1e   0.6.1 1307323 0 477f87e01b3a76b6ee63c6347383626fb0d81802 de81fd78462cbe14263fe8be2f7d8500c0d0b4fb MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/573  
45327783 MDExOlB1bGxSZXF1ZXN0NDUzMjc3ODM= 581 closed 0 Convenient faceting clarkfitzg 5356122 Allows this syntax: ``` In [52]: t4d.plot(x='lon', y='lat', col='time', row='fourth_dim') Out[52]: <xray.plot.facetgrid.FacetGrid at 0x1184ffcd0> ``` ![image](https://cloud.githubusercontent.com/assets/5356122/9942968/244f727a-5d33-11e5-9d59-3d58a0b7218f.png) 2015-09-17T18:56:49Z 2015-10-21T07:07:59Z 2015-09-21T19:44:42Z 2015-09-21T19:44:42Z 8f2883f0d33bb6c0e1391114346b2bec71d06720   0.6.1 1307323 0 c103dd5378ae1adae53271815cdb6bfe71c4d850 c13ee9875b31dceb505b4aead83272fbcbeef27e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/581  

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