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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
107050153 MDExOlB1bGxSZXF1ZXN0NDUzMjc3ODM= 581 Convenient faceting clarkfitzg 5356122 closed 0   0.6.1 1307323 7 2015-09-17T18:56:49Z 2015-10-21T07:07:59Z 2015-09-21T19:44:42Z MEMBER   0 pydata/xarray/pulls/581

Allows this syntax:

In [52]: t4d.plot(x='lon', y='lat', col='time', row='fourth_dim') Out[52]: <xray.plot.facetgrid.FacetGrid at 0x1184ffcd0>

 
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104753303 MDExOlB1bGxSZXF1ZXN0NDQxMzk1NzM= 558 cartopy example using real data clarkfitzg 5356122 closed 0   0.6.1 1307323 1 2015-09-03T18:18:17Z 2015-10-21T07:05:48Z 2015-09-03T20:16:19Z MEMBER   0 pydata/xarray/pulls/558

Use the tutorial dataset for the cartopy example. Image becomes:

 
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106088229 MDExOlB1bGxSZXF1ZXN0NDQ4MjU1MzU= 573 minor changes in dask docs clarkfitzg 5356122 closed 0   0.6.1 1307323 1 2015-09-11T20:29:17Z 2015-10-21T07:05:48Z 2015-09-11T20:41:48Z MEMBER   0 pydata/xarray/pulls/573

fix a couple typos

 
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102460779 MDExOlB1bGxSZXF1ZXN0NDMwODAxMzg= 547 remove facet doc clarkfitzg 5356122 closed 0   0.6.1 1307323 0 2015-08-21T20:55:35Z 2015-10-21T07:05:47Z 2015-08-21T20:55:43Z MEMBER   0 pydata/xarray/pulls/547 
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102866893 MDExOlB1bGxSZXF1ZXN0NDMyMDg3NjE= 550 robust plot documentation clarkfitzg 5356122 closed 0   0.6.1 1307323 7 2015-08-24T18:57:14Z 2015-10-21T07:05:47Z 2015-08-26T18:11:04Z MEMBER   0 pydata/xarray/pulls/550

These are the plots that will be in the docs.

default

robust=True

 
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100646364 MDExOlB1bGxSZXF1ZXN0NDIyOTUzNDA= 527 faceted plots clarkfitzg 5356122 closed 0     33 2015-08-12T22:12:12Z 2015-09-04T22:39:39Z 2015-09-04T22:39:39Z MEMBER   0 pydata/xarray/pulls/527

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.

 
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102268278 MDExOlB1bGxSZXF1ZXN0NDI5OTM3NjY= 544 Tutorial clarkfitzg 5356122 closed 0     1 2015-08-21T00:35:37Z 2015-08-21T20:45:42Z 2015-08-21T20:45:42Z MEMBER   0 pydata/xarray/pulls/544

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:

The PR from earlier today should fix the date in the title.

Question- Is this the best place to keep the tutorial.py file?

 
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102203048 MDExOlB1bGxSZXF1ZXN0NDI5NjI0Njc= 543 fixes #534- use core.formatting.format_item for slice title clarkfitzg 5356122 closed 0     0 2015-08-20T18:34:28Z 2015-08-20T20:05:25Z 2015-08-20T20:05:25Z MEMBER   0 pydata/xarray/pulls/543

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. 

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101724822 MDExOlB1bGxSZXF1ZXN0NDI3MzQzNTg= 539 release notes for plotting clarkfitzg 5356122 closed 0   0.6 1213895 2 2015-08-18T18:50:11Z 2015-08-20T00:19:21Z 2015-08-19T18:26:50Z MEMBER   0 pydata/xarray/pulls/539

cc @shoyer 

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99547211 MDExOlB1bGxSZXF1ZXN0NDE4NDc2NDg= 519 2d plot titles clarkfitzg 5356122 closed 0     8 2015-08-06T23:53:00Z 2015-08-12T21:48:33Z 2015-08-12T21:48:13Z MEMBER   0 pydata/xarray/pulls/519

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.

 
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99513363 MDExOlB1bGxSZXF1ZXN0NDE4Mjg2Mzg= 518 build local docs using matplotlib Agg backend clarkfitzg 5356122 closed 0     6 2015-08-06T20:04:49Z 2015-08-06T20:46:43Z 2015-08-06T20:22:26Z MEMBER   0 pydata/xarray/pulls/518

Addresses discussion in #509. 

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98228846 MDExOlB1bGxSZXF1ZXN0NDEyNjM5MjA= 502 DataArray plot namespace attribute clarkfitzg 5356122 closed 0     6 2015-07-30T18:08:48Z 2015-07-31T21:23:11Z 2015-07-31T21:23:09Z MEMBER   0 pydata/xarray/pulls/502

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.

 
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96199241 MDExOlB1bGxSZXF1ZXN0NDA0MTI3NDI= 485 Reorganize plotting module structure and add default color map clarkfitzg 5356122 closed 0     2 2015-07-21T00:45:16Z 2015-07-21T16:59:15Z 2015-07-21T16:59:15Z MEMBER   0 pydata/xarray/pulls/485

Now with viridis default color map.

 
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94417601 MDExOlB1bGxSZXF1ZXN0Mzk3MzU2MTk= 466 Feature plotting clarkfitzg 5356122 closed 0     17 2015-07-11T00:18:51Z 2015-07-20T17:47:56Z 2015-07-20T03:19:49Z MEMBER   0 pydata/xarray/pulls/466

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

 
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91391756 MDExOlB1bGxSZXF1ZXN0Mzg3MDAyNDU= 445 Feature plotting clarkfitzg 5356122 closed 0     1 2015-06-27T00:29:19Z 2015-06-30T15:57:53Z 2015-06-30T15:57:16Z MEMBER   0 pydata/xarray/pulls/445

Opening to get feedback as work is done here. Don't merge yet.

 
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