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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
88339814 MDExOlB1bGxSZXF1ZXN0Mzc2NjMwMDc= 434 One less copy when reading big-endian data with engine='scipy' shoyer 1217238 closed 0   0.5.1 1143506 0 2015-06-15T06:59:55Z 2015-06-15T07:51:44Z 2015-06-15T07:51:41Z MEMBER   0 pydata/xarray/pulls/434 
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     xarray 13221727 pull
88240870 MDExOlB1bGxSZXF1ZXN0Mzc2NDc1NDQ= 433 Assign order shoyer 1217238 closed 0   0.5.1 1143506 0 2015-06-14T20:09:04Z 2015-06-15T01:16:45Z 2015-06-15T01:16:31Z MEMBER   0 pydata/xarray/pulls/433

xray.Dataset.assign and xray.Dataset.assign_coords now assign new variables in sorted (alphabetical) order, mirroring the behavior in pandas. Previously, the order was arbitrary.

 
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     xarray 13221727 pull
87025092 MDExOlB1bGxSZXF1ZXN0MzczNzY5Njk= 429 Add pipe method copied from pandas shoyer 1217238 closed 0   0.5.1 1143506 0 2015-06-10T16:19:52Z 2015-06-11T16:45:57Z 2015-06-11T16:45:56Z MEMBER   0 pydata/xarray/pulls/429

The implementation here is directly copied from pandas: https://github.com/pydata/pandas/pull/10253

 
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     xarray 13221727 pull
85692656 MDExOlB1bGxSZXF1ZXN0MzcwODQ0MjM= 427 Fix concat for identical index variables shoyer 1217238 closed 0   0.5.1 1143506 0 2015-06-06T04:05:10Z 2015-06-07T06:03:23Z 2015-06-07T06:03:16Z MEMBER   0 pydata/xarray/pulls/427

Fixes #425

 
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     xarray 13221727 pull
85670978 MDExOlB1bGxSZXF1ZXN0MzcwODIzNjk= 426 Decode non-native endianness shoyer 1217238 closed 0   0.5.1 1143506 0 2015-06-06T01:31:14Z 2015-06-06T03:51:14Z 2015-06-06T03:51:13Z MEMBER   0 pydata/xarray/pulls/426

Fixes #416

By the way, it turns out the simple work around for this was to install netCDF4 -- only scipy.io.netcdf returns the big-endian arrays directly.

CC @bareid

 
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     xarray 13221727 pull

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