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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | ||||
| 43195526 | MDExOlB1bGxSZXF1ZXN0NDMxOTU1MjY= | 549 | closed | 0 | cast DataArray name to string if not None | jhamman 2443309 | closes #533 | 2015-08-24T16:44:40Z | 2015-10-21T07:05:47Z | 2015-08-25T15:46:39Z | bc0e3f00652732f385216cde8b9ff4ce03ab9a3d | 0.6.1 1307323 | 0 | dfc2940d01797f69e5d1f5ed82c80b0b0e2402c1 | 8847ede760cc00c712a25dced49e6dc0158be966 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/549 | ||||
| 43208761 | MDExOlB1bGxSZXF1ZXN0NDMyMDg3NjE= | 550 | closed | 0 | robust plot documentation | clarkfitzg 5356122 | These are the plots that will be in the docs. ## default  ## `robust=True`  | 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 | |||
| 43302640 | MDExOlB1bGxSZXF1ZXN0NDMzMDI2NDA= | 551 | closed | 0 | raise error if dataarray.name is wrong type | jhamman 2443309 | closes #533 xref #549 | 2015-08-25T15:50:09Z | 2015-10-26T20:28:19Z | 2015-09-16T23:40:54Z | bd1bd8250f7387018f67ca6648ce338a9db28518 | 0.6.1 1307323 | 0 | 0b315eac39ad8e40cd8a6cebbec780ce8bfc3433 | 8847ede760cc00c712a25dced49e6dc0158be966 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/551 | ||||
| 43724184 | MDExOlB1bGxSZXF1ZXN0NDM3MjQxODQ= | 554 | closed | 0 | Fixes for complex numbers | shoyer 1217238 | Fixes #553 Also ensures we skip NaN when aggregating with complex dtypes. ~~Still needs release notes.~~ | 2015-08-31T00:36:57Z | 2015-10-21T07:05:47Z | 2015-09-01T20:28:51Z | 2015-09-01T20:28:50Z | b955f5816a54259bd3d67afa17581cae1d3ac2d6 | 0.6.1 1307323 | 0 | 0531c3798002dca8febc9a73fec748a179199665 | 04f4e88bbae14d8c4c8e5d7b3f866751ead90a6c | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/554 | |||
| 43724469 | MDExOlB1bGxSZXF1ZXN0NDM3MjQ0Njk= | 555 | closed | 0 | Use deterministic names for dask arrays from open_dataset | shoyer 1217238 | This will allow xray users to take advantage of dask's nascent support for caching intermediate results (https://github.com/blaze/dask/pull/502). For example: ``` In [1]: import xray In [2]: from dask.diagnostics.cache import Cache In [3]: c = Cache(5e7) In [4]: c.register() In [5]: ds = xray.open_mfdataset('/Users/shoyer/data/era-interim/2t/2014-*.nc', engine='scipy') In [6]: %time ds.sum().load() CPU times: user 2.72 s, sys: 2.7 s, total: 5.41 s Wall time: 3.85 s Out[6]: <xray.Dataset> Dimensions: () Coordinates: *empty* Data variables: t2m float64 5.338e+10 In [7]: %time ds.mean().load() CPU times: user 5.31 s, sys: 1.86 s, total: 7.17 s Wall time: 1.81 s Out[7]: <xray.Dataset> Dimensions: () Coordinates: *empty* Data variables: t2m float64 279.0 In [8]: %time ds.mean().load() CPU times: user 7.73 ms, sys: 2.73 ms, total: 10.5 ms Wall time: 8.45 ms Out[8]: <xray.Dataset> Dimensions: () Coordinates: *empty* Data variables: t2m float64 279.0 ``` Still needs docs (probably in the dask section) and a what's new item. Also, this will update the minimum required version of dask to 0.7 (which should be called out in docs). | 2015-08-31T00:50:23Z | 2015-10-21T07:05:47Z | 2015-09-14T20:33:16Z | 2015-09-14T20:33:16Z | d09478227fa908ca8d3461275d5368d8eb1898cd | 0.6.1 1307323 | 0 | 2ff6ccee78f95dfe8cf74c7820a1a8ea1a84ee5f | f26b29a2809c4bb54dae781d995afc831b7c411f | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/555 | |||
| 43724592 | MDExOlB1bGxSZXF1ZXN0NDM3MjQ1OTI= | 556 | closed | 0 | Raise an error for non-unique columns in Dataset.from_dataframe | shoyer 1217238 | Fixes #449 (also needs what's new line item) | 2015-08-31T00:55:31Z | 2015-10-21T07:05:48Z | 2015-09-01T20:40:32Z | 2015-09-01T20:40:32Z | e9761966bdef2c16d44eb14bc975e454490356a4 | 0.6.1 1307323 | 0 | 88ae779b6f1f342bb485f17d7709b243a6425c1b | 663ade6db018a0fae85fcfbce7e3f237e4f103ac | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/556 | |||
| 44139573 | MDExOlB1bGxSZXF1ZXN0NDQxMzk1NzM= | 558 | closed | 0 | cartopy example using real data | clarkfitzg 5356122 | Use the tutorial dataset for the cartopy example. Image becomes:  | 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 | |||
| 44149294 | MDExOlB1bGxSZXF1ZXN0NDQxNDkyOTQ= | 559 | closed | 0 | Fix pcolormesh plots with cartopy | shoyer 1217238 | ``` python proj = ccrs.Orthographic(central_longitude=230, central_latitude=5) fig, ax = plt.subplots(figsize=(20, 8), subplot_kw=dict(projection=proj)) x.plot.pcolormesh(ax=ax, transform=ccrs.PlateCarree()) ax.coastlines() ``` Before:  After:  | 2015-09-03T19:50:22Z | 2015-11-15T21:49:11Z | 2015-09-14T20:33:36Z | 2015-09-14T20:33:36Z | 81e5de33fcc9df8150fb13b4776af0e9c400a014 | 0.6.1 1307323 | 0 | 574e351e625fc6a7e665bca9ae81a06ec90f7986 | cb600eef08ecc0fad6373ca5ac49d6884fa57e53 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/559 | |||
| 44612048 | MDExOlB1bGxSZXF1ZXN0NDQ2MTIwNDg= | 568 | closed | 0 | Fixed bug with indexing arrays with unicode dtype | shoyer 1217238 | Previous this raised TypeError: ``` Variable(('x'), [u'tmax'])[0][()] ``` | 2015-09-09T23:16:09Z | 2015-10-21T07:05:48Z | 2015-09-10T06:11:58Z | 2015-09-10T06:11:58Z | 308d052a6d0910baab1681651884466ef76cec87 | 0.6.1 1307323 | 0 | ecff09976e38fcc96e3797a61c2fa6558b3d3dc3 | f26b29a2809c4bb54dae781d995afc831b7c411f | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/568 | |||
| 44737380 | MDExOlB1bGxSZXF1ZXN0NDQ3MzczODA= | 569 | closed | 0 | BUG: ensure xray works with pandas 0.17.0 | shoyer 1217238 | We were using some internal routines in pandas to convert object of datetime objects arrays to datetime64. Predictably, these internal routines have now changed, breaking xray. This is definitely my fault but also bad luck -- I had a guard against the internal function dissappearing, but not against the keyword arguments changing. In any case, this fix ensures forwards compatibility with the next release of pandas, which will be coming out next week. | 2015-09-11T01:12:55Z | 2015-10-21T07:05:48Z | 2015-09-11T06:23:56Z | 2015-09-11T06:23:56Z | 6c4f4f14c78ac3d0915d0c35a9bd59dad53d3f66 | 0.6.1 1307323 | 0 | 12f856363920c23336c608c56a9edfbdce14bd5c | 3d11031253d9dcc8b4e18f61e92343d41b5dc3fb | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/569 | |||
| 44738496 | MDExOlB1bGxSZXF1ZXN0NDQ3Mzg0OTY= | 570 | closed | 0 | Don't quote strings in FacetGrid titles | shoyer 1217238 | `model = foo` looks better than `model = 'foo'` or `model = u'foo'`. This is also consistent with what Seaborn does. | 2015-09-11T01:37:01Z | 2015-10-21T07:05:48Z | 2015-09-11T21:01:42Z | 2015-09-11T21:01:42Z | db465008b9649abbf2c387c846cffe250d92e0d1 | 0.6.1 1307323 | 0 | ad35bd24cb1e55716d42231a5012306e2678e55f | de81fd78462cbe14263fe8be2f7d8500c0d0b4fb | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/570 | |||
| 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 | |||
| 44983050 | MDExOlB1bGxSZXF1ZXN0NDQ5ODMwNTA= | 574 | closed | 0 | Handle global attribute with engine='pydap' more consistently | shoyer 1217238 | These should be unpacked as actual global attributes, instead of being nested dicts under keys like "GLOBAL". The netcdf4 opendap client already unpacks these attributes. | 2015-09-14T21:24:57Z | 2015-10-21T07:05:48Z | 2015-09-24T17:42:10Z | 2015-09-24T17:42:10Z | cdcc62e5b8fb1b015e90bc12fdf4c46a1d2c7cee | 0.6.1 1307323 | 0 | a0bfeb595d9ebb51177f0e60cdf0616bee332cd8 | 1136b6a4914a688353b441bc2a0b70c601f2439b | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/574 | |||
| 45105968 | MDExOlB1bGxSZXF1ZXN0NDUxMDU5Njg= | 579 | closed | 0 | Fix failing test case on i686 | shoyer 1217238 | Fixes #578 | 2015-09-15T21:38:50Z | 2015-10-21T07:07:59Z | 2015-09-15T21:43:35Z | 2015-09-15T21:43:35Z | a98ef835a405fc4debc943e18f06929075b856b5 | 0.6.1 1307323 | 0 | d7ddf08fbc9abc4e192a9313f577bb2ef41d139a | 2b6bfea2d7ba59751f96b61af90dce86086d27d3 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/579 | |||
| 45237492 | MDExOlB1bGxSZXF1ZXN0NDUyMzc0OTI= | 580 | closed | 0 | Raise an error if DataArray name is not able to be written to netCDF. | jhamman 2443309 | closes #533 xref #549, #551 | 2015-09-16T23:42:54Z | 2015-10-21T07:07:59Z | 2015-09-18T17:35:26Z | 2015-09-18T17:35:26Z | 82b2821a6099a99cd8cd564bcdc58362c3b76c58 | 0.6.1 1307323 | 0 | 2da0e7d8be49f944ef16d89e561d500cabea7782 | c13ee9875b31dceb505b4aead83272fbcbeef27e | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/580 | |||
| 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> ```  | 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 | |||
| 45435627 | MDExOlB1bGxSZXF1ZXN0NDU0MzU2Mjc= | 583 | closed | 0 | Add Python 3.5 to Travis Builds | jhamman 2443309 | 2015-09-18T18:10:06Z | 2015-10-21T07:07:59Z | 2015-09-19T16:00:53Z | 2015-09-19T16:00:53Z | 95b359633ba927bca23f0ae7a3bba9a4dc555166 | 0.6.1 1307323 | 0 | 0a11b794b58fde21d8b979f13443c96422186983 | a2a3f21e92f9f32c9c4aed3f595856df43faa199 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/583 | ||||
| 45470308 | MDExOlB1bGxSZXF1ZXN0NDU0NzAzMDg= | 584 | closed | 0 | Make where lazy if either argument is a dask array | shoyer 1217238 | `where` now uses dask instead of numpy if either the array or `other` is a dask array. Previously, if `other` was a numpy array the method was evaluated eagerly. | 2015-09-19T05:15:52Z | 2015-10-21T07:08:00Z | 2015-09-24T17:38:44Z | 2015-09-24T17:38:44Z | 6e87dc952676828533820e94bbe87c023d9219e2 | 0.6.1 1307323 | 0 | 42cd7d7569b91a22a74a51159f7d62c758174cae | a3c7f592cf94367c3b3ff0bab26215bd81c2c1d8 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/584 | |||
| 45736878 | MDExOlB1bGxSZXF1ZXN0NDU3MzY4Nzg= | 586 | closed | 0 | Fix FacetGrid.map and allow specifying size/aspect with .plot shortcut | shoyer 1217238 | cc @clarkfitzg | 2015-09-23T01:43:07Z | 2015-10-21T07:08:00Z | 2015-09-24T17:27:36Z | 2015-09-24T17:27:36Z | 61c54e96ef0007681c050d74b5f4f881734c88a1 | 0.6.1 1307323 | 0 | 7f30bf1e0e92206f56f877cdcbe656069366a323 | 9fbfc627bbaf59444ea2ada482e39d5cfee47d5e | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/586 | |||
| 45922236 | MDExOlB1bGxSZXF1ZXN0NDU5MjIyMzY= | 588 | closed | 0 | Fix assignment to the .data attribute of DataArray objects | shoyer 1217238 | 2015-09-24T16:58:56Z | 2015-10-21T07:08:00Z | 2015-09-24T19:14:32Z | 2015-09-24T19:14:32Z | 1b8c689603165ed4077b5cc6e25079675b04a5bf | 0.6.1 1307323 | 0 | a5980f06dc7a07e6ce1492e159c77f6f2d9269fe | c7ef69fd0f64962b71a6e99f519ba7f24461472c | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/588 | ||||
| 45980665 | MDExOlB1bGxSZXF1ZXN0NDU5ODA2NjU= | 589 | closed | 0 | New encoding keyword argument for to_netcdf | shoyer 1217238 | Fixes #548 In particular, it would be helpful if someone else could review the new documentation section to see if it makes sense. | 2015-09-25T06:24:53Z | 2015-10-21T07:08:00Z | 2015-10-08T01:08:52Z | 2015-10-08T01:08:51Z | 898d90ad5e78ce92d39186001c0140e26b0141ec | 0.6.1 1307323 | 0 | 0d8a19970abf80cac6b03ae0f17f291f85f2c8f1 | 4c35dcc008a064858a9c8ae11ae4e800a0ac4305 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/589 | |||
| 46347492 | MDExOlB1bGxSZXF1ZXN0NDYzNDc0OTI= | 594 | closed | 0 | Spring cleaning | jhamman 2443309 | This is basically just a style/pep cleanup. I removed a bunch of unused variables from internal modules. I should say that I'm somewhat sheepishly submitting this PR, especially after seeing [this](https://youtu.be/wf-BqAjZb8M?list=PLP1xYYjBXksOm402NpkV1Ah5TRUKiQThn) talk by Raymond Hettinger. However, since my [linter](https://atom.io/packages/linter-flake8) was constantly complaining about many of these, I figured I'd knock off all of them at once. There are quite a few line changes here but none of them should result in different behavior. | 2015-09-29T23:59:14Z | 2015-10-21T07:08:00Z | 2015-09-30T17:36:16Z | 2015-09-30T17:36:16Z | f8442801c3b1088f0231cdf2fe298e3a5c917625 | 0.6.1 1307323 | 0 | b71022b12b0f3769c5252b63edce453ed94fb201 | d704524a030aef7e2029ec43d19099143b72f653 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/594 | |||
| 46363372 | MDExOlB1bGxSZXF1ZXN0NDYzNjMzNzI= | 595 | closed | 0 | unsorted integer indexing on netCDF4 objections on disk | jhamman 2443309 | add more informative error message when unsorted integer array is used to index netCDF4 variable on disk. Closes #593 | 2015-09-30T05:43:06Z | 2015-10-21T07:08:00Z | 2015-10-02T21:41:11Z | 2015-10-02T21:41:11Z | 462170a1ad08ba5cd52e7a3f6df884f4a28fc6e4 | 0.6.1 1307323 | 0 | fcddcee53c4f505c08cf4c73df1ebc66592d9fc1 | 4c35dcc008a064858a9c8ae11ae4e800a0ac4305 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/595 | |||
| 46467643 | MDExOlB1bGxSZXF1ZXN0NDY0Njc2NDM= | 596 | closed | 0 | add landscape.yml config file | jhamman 2443309 | @shoyer - we can ignore any warnings you don't like (e.g. `dangerous-default-value`). xref #594 | 2015-09-30T22:56:36Z | 2015-10-21T07:08:00Z | 2015-10-01T18:45:31Z | 2015-10-01T18:45:31Z | 80bdee536d7b1ef542e70304de544ed82285d13e | 0.6.1 1307323 | 0 | 2d213e5d822b6d876fea9fa7e8486a056f051175 | 1ec0e3592be5e9136824144809aa763499134ec7 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/596 | |||
| 46483378 | MDExOlB1bGxSZXF1ZXN0NDY0ODMzNzg= | 598 | closed | 0 | Fix colormap for facet grid plots | jhamman 2443309 | Fixes #592 Added test to check that all subplots in facet grid have same data range and colormap. This fixes two issues present in the existing code: 1) colormap was being selected for each subplot 2) range was being selected for each subplot and colorbar was the result of only the last subplot Some sample code: ``` Python data = (np.random.random(size=(20, 25, 12)) + np.linspace(-3, 3, 12)) # range is ~ -3 to 4 da = xray.DataArray(data, dims=['x', 'y', 'time'], name='data') fg = da.plot.pcolormesh(col='time', col_wrap=4) ``` previously yielded this plot:  and now yields this plot:  | 2015-10-01T04:15:04Z | 2015-10-21T07:08:00Z | 2015-10-01T17:10:31Z | 2015-10-01T17:10:31Z | e881473120221e89608c566f55f2aa4b9e013bf3 | 0.6.1 1307323 | 0 | ca5b1cbd52ddc210bf2a016522213dbdec499c9e | 1ec0e3592be5e9136824144809aa763499134ec7 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/598 | |||
| 46577791 | MDExOlB1bGxSZXF1ZXN0NDY1Nzc3OTE= | 600 | closed | 0 | BUG: fix open_dataset with remote URIs and chunking | shoyer 1217238 | This was introduced by #555, but never made it into a release. | 2015-10-01T21:14:34Z | 2015-10-21T07:08:00Z | 2015-10-02T04:48:13Z | 2015-10-02T04:48:13Z | 7d0c521afe71cf53386c2fa431f6bc28c153143c | 0.6.1 1307323 | 0 | 8454ee377fb681f05098bdb48f359604f05786ae | 9c7bb4dd322e90e901be41f8f02395e666908072 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/600 | |||
| 46579541 | MDExOlB1bGxSZXF1ZXN0NDY1Nzk1NDE= | 601 | closed | 0 | Fix broken facet plot in docs | shoyer 1217238 | Fixes #562 Apparently matplotlib 1.3 (which is all we can use on readthedocs) has a bug when attempting to plot this data using contourf. cc @clarkfitzg | 2015-10-01T21:31:00Z | 2015-10-21T07:08:00Z | 2015-10-02T04:47:50Z | 2015-10-02T04:47:49Z | 45c8f7415167d15a0fbe0c05f4ff3e9c10fdc7fc | 0.6.1 1307323 | 0 | e6750c02910ce2fd3e63f4cd6f62d42be52d7750 | 9c7bb4dd322e90e901be41f8f02395e666908072 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/601 | |||
| 46689632 | MDExOlB1bGxSZXF1ZXN0NDY2ODk2MzI= | 604 | closed | 0 | Add subplot_kws arg to plotting interfaces | jhamman 2443309 | This argument is only used in the FacetGrid class and allows users to pass arguments to subplot constructor. The api change is a pretty simple and just accepts a single new argument (`subplot_kws`). I think we need to think about how to tweak the subplots a bit more in terms of aspect. Here's some example code that produces the plot below: ``` Python import xray import cartopy.crs as ccrs ds = xray.open_dataset('xray-data/ncep_temperature_north-america_2013-14.nc') ds.lon -= 360 lon0 = ds.lon.values.mean() dss = ds.groupby('time.season').mean('time') g = dss.air.plot.pcolormesh(col='season', col_wrap=2, transform=ccrs.PlateCarree(), subplot_kws=dict(projection=ccrs.PlateCarree(lon0))) for ax in g.axes.flat: ax.coastlines() ax.gridlines() ax.set_extent((-161.25, -28.75, 20, 40)) ```  Obviously there are some issues with the grid lines too but that may end up getting fixed by a more flexible aspect. cc @clarkfitzg closes #603 xref: https://github.com/mwaskom/seaborn/pull/320 | 2015-10-02T22:36:04Z | 2016-11-30T08:00:48Z | 2015-10-06T15:10:01Z | 2015-10-06T15:10:00Z | b5749f006c11827562f6042afc7a83f3b2ccee2a | 0.6.1 1307323 | 0 | 98946aa7cd7338b0643b738e7c1c713d6d53bc3f | 89adda5e719a2bba6231310e3726185597f9beab | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/604 | |||
| 46709838 | MDExOlB1bGxSZXF1ZXN0NDY3MDk4Mzg= | 606 | closed | 0 | example of how to use cf convention to use 2d coordinates for plotting | jhamman 2443309 | This is one idea of how to handle 2d coordinate variables. Attribute names may need to change but this is working for my application. No test written and existing roundtrip tests will likely fail on this first commit. | 2015-10-03T17:53:07Z | 2015-10-26T20:28:26Z | 2015-10-06T15:56:15Z | 5fd548404f9005bfd7431aa75ae61f31fd6c636f | 0.6.1 1307323 | 0 | c6a61bdc4340099f6b1a2e00dc3d867396e2072e | 89adda5e719a2bba6231310e3726185597f9beab | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/606 | ||||
| 46720115 | MDExOlB1bGxSZXF1ZXN0NDY3MjAxMTU= | 608 | closed | 0 | allow passing coordinate names as x and y to plot methods | jhamman 2443309 | This allows us to use coordinate names as plotting arguments for `x` and `y`. I have a test for this that isn't quite working yet. | 2015-10-04T06:15:36Z | 2015-11-15T21:50:18Z | 2015-10-09T14:21:25Z | 2015-10-09T14:21:25Z | b52f8ebea2aff0fce517601b8523db391870c2ac | 0.6.1 1307323 | 0 | e25ac4b58dbe91b933bebc06d8d081e3f0c40339 | cb4e4138fdb52078d27341dadf0feedb15e1de80 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/608 | |||
| 46833215 | MDExOlB1bGxSZXF1ZXN0NDY4MzMyMTU= | 609 | closed | 0 | Doc build fixes and better error handling | shoyer 1217238 | 2015-10-05T21:00:45Z | 2015-10-21T07:08:00Z | 2015-10-07T05:45:10Z | 2015-10-07T05:45:10Z | 5efba5cacf7f7706b197ffa66633192c5cdfce3c | 0.6.1 1307323 | 0 | f9ece3cb6fcc6925d77ba6381cd3887b8f1418ff | 89adda5e719a2bba6231310e3726185597f9beab | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/609 | ||||
| 47104188 | MDExOlB1bGxSZXF1ZXN0NDcxMDQxODg= | 612 | closed | 0 | keep coordinates encoding even when coordinates are decoded | jhamman 2443309 | fixes #610 | 2015-10-08T02:01:20Z | 2015-10-26T20:28:26Z | 2015-10-08T18:03:19Z | 2015-10-08T18:03:19Z | c63a72a821d6fc264e05b19d9af8433c4dad397b | 0.6.1 1307323 | 0 | e3508a8ee48ac1b1722df9ec1e932abd173502e7 | 0966b78003e3e25ef9d41f9e7f938bfaefeb7d22 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/612 | |||
| 47245743 | MDExOlB1bGxSZXF1ZXN0NDcyNDU3NDM= | 614 | closed | 0 | Weights calculation fails in python 2.x due to integer division | scottza 122792 | Fix seasonal means example notebook to work on Python 2.x | 2015-10-09T08:29:07Z | 2015-10-21T07:08:00Z | 2015-10-10T07:09:00Z | 2015-10-10T07:09:00Z | 9b43365eab6937245c099c840561246a0ece0008 | 0.6.1 1307323 | 0 | c35d5fe5964156cab15a249fd79ef32974f70163 | 7edd52607a031479f19a5e7426a14aef706c396f | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/614 | |||
| 47349510 | MDExOlB1bGxSZXF1ZXN0NDczNDk1MTA= | 618 | closed | 0 | numpy 1.10 compat fixes | jhamman 2443309 | fixes #617 @shoyer - can you take a look at `test_index_0d_not_a_time` and see if you can figure out why that test is failing? I couldn't sort it out. Also, we're now getting a ton of these warnings: `FutureWarning: numpy equal will not check object identity in the future. The comparison did not return the same result as suggested by the identity (`is`)) and will change.` I thought about trying to suppress the ones that come directly from xray but that seems tricky to do safely. matplotlib and numpy itself are raising the same warnings. err... | 2015-10-10T17:04:45Z | 2016-01-04T23:11:55Z | 2015-10-12T20:37:14Z | 2015-10-12T20:37:14Z | e45f0f730c879535320fa43635fb81fe9c644cd4 | 0.6.1 1307323 | 0 | 675578f982272fbf3eec99c1d3249f38397e8bdb | a2fa27004f6cac476a3dbec2fa0774716f05f198 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/618 | |||
| 47737477 | MDExOlB1bGxSZXF1ZXN0NDc3Mzc0Nzc= | 626 | closed | 0 | Update Travis-CI builds to use conda env | shoyer 1217238 | 2015-10-15T02:18:48Z | 2015-10-21T07:08:00Z | 2015-10-16T00:39:57Z | 2015-10-16T00:39:57Z | 7b1f6ec072febac1ec7ce2569a5de32c1b7bdc3e | 0.6.1 1307323 | 0 | 45be2f4bb36e621ea0e28faed60e9410f13f44a5 | 5abc994798fb773d965adccf0dd8d932357044e0 | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/626 | ||||
| 48039548 | MDExOlB1bGxSZXF1ZXN0NDgwMzk1NDg= | 629 | closed | 0 | ENH: add tolerance argument to .sel and .reindex | shoyer 1217238 | `.sel` and `.reindex` now support the `tolerance` argument for controlling nearest-neighbor selection: ``` In [5]: array = xray.DataArray([1, 2, 3], dims='x') In [6]: array.reindex(x=[0.9, 1.5], method='nearest', tolerance=0.2) Out[6]: <xray.DataArray (x: 2)> array([ 2., nan]) Coordinates: * x (x) float64 0.9 1.5 ``` This feature requires pandas v0.17 or newer. | 2015-10-19T07:44:25Z | 2015-10-21T07:08:00Z | 2015-10-21T03:47:45Z | 2015-10-21T03:47:45Z | 4c7034b5bd6e0bd5cbb2027c3b3e84d555a4fa53 | 0.6.1 1307323 | 0 | d915588c77603fa5da24f94b008140fbc309d4cd | a2fff5601f3c54849ae938e926f4fc7fd884de1d | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/629 | |||
| 48210985 | MDExOlB1bGxSZXF1ZXN0NDgyMTA5ODU= | 632 | closed | 0 | Fix a couple of minor typos | petercable 6645714 | 2015-10-20T14:48:54Z | 2015-10-21T07:08:00Z | 2015-10-20T16:58:10Z | 2015-10-20T16:58:10Z | 462a89f07df1b5e45e609c9a714e68626e3f22ca | 0.6.1 1307323 | 0 | ffb987463f471a6e5f51c6739960048102711666 | 6ea7eb2b388075cc838c5ddf0ddaa47020cfcb89 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/632 | ||||
| 48235213 | MDExOlB1bGxSZXF1ZXN0NDgyMzUyMTM= | 633 | closed | 0 | Remove all mutable arguments from functions | petercable 6645714 | http://docs.python-guide.org/en/latest/writing/gotchas/#mutable-default-arguments Not sure if you want this or not. I didn't see any cases where this was being used intentionally to store state between calls. | 2015-10-20T17:55:36Z | 2015-10-21T07:08:00Z | 2015-10-20T21:35:02Z | 2015-10-20T21:35:02Z | 9aa802d276c0e27167b938a8261d389040bf1e1e | 0.6.1 1307323 | 0 | f42079c95c2ce4388e02fb143b7eb2d47a13f381 | 5d9545eb8f5b4120379f4669d90394a9e42e9bd5 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/633 | |||
| 48296920 | MDExOlB1bGxSZXF1ZXN0NDgyOTY5MjA= | 635 | closed | 0 | Doc fixes for v0.6.1 | shoyer 1217238 | 2015-10-21T07:36:04Z | 2015-10-21T16:51:31Z | 2015-10-21T16:51:24Z | 2015-10-21T16:51:24Z | 210ca15d6ef84b3494208c2f758472a96f4c1a43 | 0.6.1 1307323 | 0 | ae5733edca83fbe3b82644e6eb570e26d4b40058 | c82791133f28e687bf5bb8af4ad64e222d3c0dab | MEMBER | xarray 13221727 | https://github.com/pydata/xarray/pull/635 |
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