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,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,,13221727,https://github.com/pydata/xarray/pull/445, 39735619,MDExOlB1bGxSZXF1ZXN0Mzk3MzU2MTk=,466,closed,0,Feature plotting,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,,13221727,https://github.com/pydata/xarray/pull/466, 40412742,MDExOlB1bGxSZXF1ZXN0NDA0MTI3NDI=,485,closed,0,Reorganize plotting module structure and add default color map,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,,13221727,https://github.com/pydata/xarray/pull/485, 41263920,MDExOlB1bGxSZXF1ZXN0NDEyNjM5MjA=,502,closed,0,DataArray plot namespace attribute,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,,13221727,https://github.com/pydata/xarray/pull/502, 41828638,MDExOlB1bGxSZXF1ZXN0NDE4Mjg2Mzg=,518,closed,0,build local docs using matplotlib Agg backend,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,,13221727,https://github.com/pydata/xarray/pull/518, 41847648,MDExOlB1bGxSZXF1ZXN0NDE4NDc2NDg=,519,closed,0,2d plot titles,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,,13221727,https://github.com/pydata/xarray/pull/519, 42295340,MDExOlB1bGxSZXF1ZXN0NDIyOTUzNDA=,527,closed,0,faceted plots,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,,13221727,https://github.com/pydata/xarray/pull/527, 42734358,MDExOlB1bGxSZXF1ZXN0NDI3MzQzNTg=,539,closed,0,release notes for plotting,5356122,"cc @shoyer ",2015-08-18T18:50:11Z,2015-08-20T00:19:21Z,2015-08-19T18:26:50Z,2015-08-19T18:26:50Z,4d8c4f1a35236bbe312a2885697c17efc6b5a39d,,1213895,0,315a1d9ec224d99c5a64264aea28e10142eca787,9434b8e4ebb4ba9e29ca5483f9b25ecdb46a4317,MEMBER,,13221727,https://github.com/pydata/xarray/pull/539, 42962467,MDExOlB1bGxSZXF1ZXN0NDI5NjI0Njc=,543,closed,0,fixes #534- use core.formatting.format_item for slice title,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,,13221727,https://github.com/pydata/xarray/pull/543, 42993766,MDExOlB1bGxSZXF1ZXN0NDI5OTM3NjY=,544,closed,0,Tutorial,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,,13221727,https://github.com/pydata/xarray/pull/544, 43080138,MDExOlB1bGxSZXF1ZXN0NDMwODAxMzg=,547,closed,0,remove facet doc,5356122,,2015-08-21T20:55:35Z,2015-10-21T07:05:47Z,2015-08-21T20:55:43Z,2015-08-21T20:55:43Z,2a597aaf6fd7bf4298f4e557a705f0d1374cb305,,1307323,0,d741b85150de887904896b8bdd049f6fd7029941,eaeaa085540f9d98aa09616bf464ef0110a12fd9,MEMBER,,13221727,https://github.com/pydata/xarray/pull/547, 43208761,MDExOlB1bGxSZXF1ZXN0NDMyMDg3NjE=,550,closed,0,robust plot documentation,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,,1307323,0,82cc37aa2b920f1bfa96688d28f08006a8af8aa1,8847ede760cc00c712a25dced49e6dc0158be966,MEMBER,,13221727,https://github.com/pydata/xarray/pull/550, 44139573,MDExOlB1bGxSZXF1ZXN0NDQxMzk1NzM=,558,closed,0,cartopy example using real data,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,,1307323,0,79423a33f916bdd26f46e0b3de71ead930e47e65,276592cb193a7e39a7be9fc4febff8e02d3d7116,MEMBER,,13221727,https://github.com/pydata/xarray/pull/558, 44825535,MDExOlB1bGxSZXF1ZXN0NDQ4MjU1MzU=,573,closed,0,minor changes in dask docs,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,,1307323,0,477f87e01b3a76b6ee63c6347383626fb0d81802,de81fd78462cbe14263fe8be2f7d8500c0d0b4fb,MEMBER,,13221727,https://github.com/pydata/xarray/pull/573, 45327783,MDExOlB1bGxSZXF1ZXN0NDUzMjc3ODM=,581,closed,0,Convenient faceting,5356122,"Allows this syntax: ``` In [52]: t4d.plot(x='lon', y='lat', col='time', row='fourth_dim') Out[52]: ``` ![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,,1307323,0,c103dd5378ae1adae53271815cdb6bfe71c4d850,c13ee9875b31dceb505b4aead83272fbcbeef27e,MEMBER,,13221727,https://github.com/pydata/xarray/pull/581,