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15 rows where milestone = 799012, repo = 13221727 and type = "pull" sorted by updated_at descending
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| 44718119 | MDExOlB1bGxSZXF1ZXN0MjIxNTg1MTc= | 245 | Modular encodings (rebased) | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 7 | 2014-10-02T18:05:50Z | 2014-10-23T06:27:16Z | 2014-10-11T21:30:07Z | MEMBER | 0 | pydata/xarray/pulls/245 | This change is rebased on master and should let us pick up from #175. CC @akleeman Restructured Backends to make CF convention application more consistent. Amongst other things this includes: - EncodedDataStores which can wrap other stores and allow for modular encoding/decoding. - Trivial indices ds['x'] = ('x', np.arange(10)) are no longer stored on disk and are only created when accessed. - AbstractDataStore API change. Shouldn't effect external users. - missing_value attributes now function like _FillValue All current tests are passing (though it could use more new ones). Post rebase notes (shoyer, Oct 2, 2014): Most tests are passing, though a couple are broken: - test_roundtrip_mask_and_scale (because this change needs a fix to not break the current API) - test_roundtrip_strings_with_fill_value on TestCFEncodedDataStore (I don't entirely understand why, let's come back to it later) |
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xarray 13221727 | pull | ||||
| 46590919 | MDExOlB1bGxSZXF1ZXN0MjMyMDc4NTc= | 263 | Update docs | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-23T05:43:12Z | 2014-10-23T05:50:42Z | 2014-10-23T05:50:41Z | MEMBER | 0 | pydata/xarray/pulls/263 | {
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xarray 13221727 | pull | |||||
| 46581618 | MDExOlB1bGxSZXF1ZXN0MjMyMDI5MDc= | 262 | Fixes for pandas 0.15 | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-23T02:10:06Z | 2014-10-23T02:30:10Z | 2014-10-23T02:30:08Z | MEMBER | 0 | pydata/xarray/pulls/262 | {
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xarray 13221727 | pull | |||||
| 46477627 | MDExOlB1bGxSZXF1ZXN0MjMxMzc3NjU= | 261 | Improved broadcasting and new broadcast_arrays function | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 1 | 2014-10-22T06:43:29Z | 2014-10-22T23:44:07Z | 2014-10-22T23:44:04Z | MEMBER | 0 | pydata/xarray/pulls/261 | {
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xarray 13221727 | pull | |||||
| 46238070 | MDExOlB1bGxSZXF1ZXN0MjI5OTY0OTA= | 258 | Include test data in source distribution | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-20T07:19:07Z | 2014-10-20T07:32:05Z | 2014-10-20T07:32:03Z | MEMBER | 0 | pydata/xarray/pulls/258 | Fixes #253 |
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xarray 13221727 | pull | ||||
| 46228864 | MDExOlB1bGxSZXF1ZXN0MjI5OTE1NzA= | 257 | Fix arrays names when doing arithmetic | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-20T03:37:43Z | 2014-10-20T03:48:48Z | 2014-10-20T03:48:45Z | MEMBER | 0 | pydata/xarray/pulls/257 | Fixes #254. |
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xarray 13221727 | pull | ||||
| 46149649 | MDExOlB1bGxSZXF1ZXN0MjI5NTYxNDE= | 256 | Add DataArray.to_pandas | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-17T22:10:14Z | 2014-10-20T02:55:08Z | 2014-10-20T02:55:06Z | MEMBER | 0 | pydata/xarray/pulls/256 | Implements half of #225 We still need documentation updates, and for consistency should probably add |
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xarray 13221727 | pull | ||||
| 45939832 | MDExOlB1bGxSZXF1ZXN0MjI4Mjc4NzQ= | 252 | Add dropna method to Dataset and DataArray | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-16T01:48:32Z | 2014-10-17T20:02:24Z | 2014-10-17T20:02:22Z | MEMBER | 0 | pydata/xarray/pulls/252 | Fixes #58 |
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xarray 13221727 | pull | ||||
| 45615434 | MDExOlB1bGxSZXF1ZXN0MjI2MjkyMzg= | 251 | Encoding improvements | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-13T07:29:51Z | 2014-10-14T00:23:34Z | 2014-10-14T00:23:33Z | MEMBER | 0 | pydata/xarray/pulls/251 | Follow ups on #245. CC @akleeman (more to come) |
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xarray 13221727 | pull | ||||
| 45536594 | MDExOlB1bGxSZXF1ZXN0MjI1OTY4NTc= | 250 | Allow label based slicing with 0d data arrays | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-11T00:50:38Z | 2014-10-11T01:00:44Z | 2014-10-11T01:00:42Z | MEMBER | 0 | pydata/xarray/pulls/250 | {
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xarray 13221727 | pull | |||||
| 45401349 | MDExOlB1bGxSZXF1ZXN0MjI1MTM5Mzc= | 249 | Documentation tweaks | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-09T18:35:45Z | 2014-10-10T03:29:09Z | 2014-10-10T03:29:07Z | MEMBER | 0 | pydata/xarray/pulls/249 |
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xarray 13221727 | pull | ||||
| 45212731 | MDExOlB1bGxSZXF1ZXN0MjI0MDQ5Mzc= | 247 | add count() method for missing values to Dataset and DataArray | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-10-08T07:30:05Z | 2014-10-08T18:22:50Z | 2014-10-08T18:22:49Z | MEMBER | 0 | pydata/xarray/pulls/247 | Should work just like count on pandas objects |
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xarray 13221727 | pull | ||||
| 43662476 | MDExOlB1bGxSZXF1ZXN0MjE2NjQxNTI= | 240 | Fix indexing NaT scalars | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-09-23T18:02:25Z | 2014-09-24T01:23:39Z | 2014-09-24T01:23:38Z | MEMBER | 0 | pydata/xarray/pulls/240 | {
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xarray 13221727 | pull | |||||
| 43647191 | MDExOlB1bGxSZXF1ZXN0MjE2NTU2NTU= | 239 | Read a gzipped netcdf file | lakshmanok 1742823 | closed | 0 | 0.3.1 799012 | 2 | 2014-09-23T15:54:04Z | 2014-09-23T22:13:00Z | 2014-09-23T22:13:00Z | NONE | 0 | pydata/xarray/pulls/239 | {
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xarray 13221727 | pull | |||||
| 43568867 | MDExOlB1bGxSZXF1ZXN0MjE2MTYzMjI= | 238 | fix NaT in dataset repr | shoyer 1217238 | closed | 0 | 0.3.1 799012 | 0 | 2014-09-22T23:22:26Z | 2014-09-22T23:35:13Z | 2014-09-22T23:35:12Z | MEMBER | 0 | pydata/xarray/pulls/238 | {
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xarray 13221727 | pull |
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