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46022646 MDU6SXNzdWU0NjAyMjY0Ng== 254 order matters when doing comparisons against scalar xray objects WeatherGod 291576 closed 0   0.3.1 799012 2 2014-10-16T19:03:11Z 2014-10-23T06:43:30Z 2014-10-23T06:43:23Z CONTRIBUTOR      

Working on some bounding box extraction code, I computed a bounding box by taking mins and maxes of the coordinates from an xray object resulting in a dictionary of scalar xray objects. When comparing an xray DataArray against this scalar xray object, the order seems to matter. This results in problems down the road that wouldn't happen if I just had a scalar value instead of a scalar xray object.

```

bbox {'longitude': (<xray.DataArray 'longitude' ()> array(-102.8782), <xray.DataArray 'longitude' ()> array(-94.6244))} a = bbox['longitude'][0] <= mod['longitude'] b = mod['longitude'] <= bbox['longitude'][1] c = mod['longitude'] >= bbox['longitude'][0] a <xray.DataArray 'longitude' (longitude: 7001)> array([False, False, False, ..., True, True, True], dtype=bool) Coordinates: * longitude (longitude) bool False False False False False False False False False ... b <xray.DataArray (longitude: 7001)> array([ True, True, True, ..., False, False, False], dtype=bool) Coordinates: * longitude (longitude) float32 -129.995 -129.985 -129.975 -129.965 -129.955 ... ```

See that the "a" object has a name "longitude" while the "b" object does not. Therefore...

```

a & b Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/nas/home/broot/centos6/lib/python2.7/site-packages/xray/core/dataarray.py", line 850, in func ds = self.coords.merge(other_coords) File "/nas/home/broot/centos6/lib/python2.7/site-packages/xray/core/coordinates.py", line 122, in merge conflicts = self._merge_validate(other) File "/nas/home/broot/centos6/lib/python2.7/site-packages/xray/core/coordinates.py", line 80, in _merge_validate raise ValueError('index %r not aligned' % k) ValueError: index 'longitude' not aligned ```

But, if I use the "c" object instead which was created flipping the comparison around:

```

c * b <xray.DataArray (longitude: 7001)> array([False, False, False, ..., False, False, False], dtype=bool) Coordinates: * longitude (longitude) float32 -129.995 -129.985 -129.975 -129.965 -129.955 ...

```

everything works as expected. I have a vague idea of why this is happening, but I am not exactly sure how one should go about dealing with this. It is a similar problem elsewhere with subclassed numpy arrays. For now, I am going to have to go with the rule of keeping the xray dataarray object first, but that really isn't going to work in other places where I may not know that I am passing xray objects.

 
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   completed xarray 13221727 issue
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
29030870 MDU6SXNzdWUyOTAzMDg3MA== 58 Add a DataArray.dropna() method for removing missing values shoyer 1217238 closed 0   0.3.1 799012 0 2014-03-08T21:49:29Z 2014-10-23T04:57:36Z 2014-10-17T20:02:22Z MEMBER      

This should be patterned off of pandas.DataFrame.dropna.

 
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   completed xarray 13221727 issue
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
45948310 MDU6SXNzdWU0NTk0ODMxMA== 253 We should ship test data with the source distribution on pypi shoyer 1217238 closed 0   0.3.1 799012 0 2014-10-16T04:57:19Z 2014-10-20T07:32:03Z 2014-10-20T07:32:03Z MEMBER      

This will make it easier to test xray (e.g., with nosetests xray)

 
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   completed xarray 13221727 issue
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 Dataset.to_pandas as well.

 
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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
  • Took another pass through the quick overview and FAQ
  • Reorganized the TOC
 
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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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