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  • xarray · 10 ✖
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
217660739 MDExOlB1bGxSZXF1ZXN0MTEzMDQzNDI1 1336 Marks slow, flaky, and failing tests pwolfram 4295853 closed 0     13 2017-03-28T19:03:20Z 2017-04-07T04:36:08Z 2017-04-03T05:30:16Z CONTRIBUTOR   0 pydata/xarray/pulls/1336

Closes #1309

 
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     xarray 13221727 pull
218291642 MDExOlB1bGxSZXF1ZXN0MTEzNDk3NzQ1 1342 Ensures drop=True case works with empty mask pwolfram 4295853 closed 0     7 2017-03-30T18:45:34Z 2017-04-02T22:45:01Z 2017-04-02T22:43:53Z CONTRIBUTOR   0 pydata/xarray/pulls/1342

Resolves error occurring for python 2.7 for the case of where(mask, drop=True) where the mask is empty.

  • [x] closes #1341
  • [X] tests added
  • [x] tests passed
  • [x] passes git diff upstream/master | flake8 --diff
  • [x] whatsnew entry
 
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181033674 MDExOlB1bGxSZXF1ZXN0ODc5OTUzNzg= 1038 Attributes from netCDF4 intialization retained pwolfram 4295853 closed 0     26 2016-10-04T23:51:48Z 2017-03-31T03:11:07Z 2017-03-31T03:11:07Z CONTRIBUTOR   0 pydata/xarray/pulls/1038

Ensures that attrs for open_mfdataset are now retained

cc @shoyer 

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199900056 MDExOlB1bGxSZXF1ZXN0MTAwOTI5NTYz 1198 Fixes OS error arising from too many files open pwolfram 4295853 closed 0     54 2017-01-10T18:37:41Z 2017-03-23T19:21:27Z 2017-03-23T19:20:03Z CONTRIBUTOR   0 pydata/xarray/pulls/1198

Previously, DataStore did not judiciously close files, resulting in opening a large number of files that could result in an OSError related to too many files being open. This merge provides a solution for the netCDF, scipy, and h5netcdf backends.

 
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180678466 MDExOlB1bGxSZXF1ZXN0ODc3NDI5NjI= 1031 Fixes doc formating error pwolfram 4295853 closed 0     1 2016-10-03T16:00:29Z 2017-03-22T17:27:10Z 2016-10-03T16:15:19Z CONTRIBUTOR   0 pydata/xarray/pulls/1031

This fixes a typo in the what's new documentation.

 
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180717915 MDExOlB1bGxSZXF1ZXN0ODc3NzA5NTk= 1032 Fixes documentation typo pwolfram 4295853 closed 0     0 2016-10-03T18:57:21Z 2017-03-22T17:27:10Z 2016-10-03T21:03:07Z CONTRIBUTOR   0 pydata/xarray/pulls/1032

This is another really minor typo...

 
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144920646 MDExOlB1bGxSZXF1ZXN0NjQ4MDEwMTc= 812 Adds cummulative operators to API pwolfram 4295853 closed 0     14 2016-03-31T14:37:50Z 2016-10-03T21:06:26Z 2016-10-03T21:05:33Z CONTRIBUTOR   0 pydata/xarray/pulls/812

This PR will add cumsum and cumprod as discussed in https://github.com/pydata/xarray/issues/791 as well ensuring cumprod works for the API, resolving issues discussed at https://github.com/pydata/xarray/issues/807.

TO DO (dependencies) - [x] Add nancumprod and nancumsum to numpy (https://github.com/numpy/numpy/pull/7421) - [x] Add nancumprod and nancumsum to dask (https://github.com/dask/dask/pull/1077)

This PR extends infrastructure to support cumsum and cumprod (https://github.com/pydata/xarray/issues/791).

References: - https://github.com/numpy/numpy/pull/7421

cc @shoyer, @jhamman 

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153484311 MDExOlB1bGxSZXF1ZXN0NjkxNzI3NTU= 845 Fixes doc typo pwolfram 4295853 closed 0     2 2016-05-06T16:04:18Z 2016-05-07T00:35:10Z 2016-05-06T16:35:05Z CONTRIBUTOR   0 pydata/xarray/pulls/845

To entirely add or removing coordinate arrays, you can use dictionary like

to

To entirely add or remove coordinate arrays, you can use dictionary like

 
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145243134 MDExOlB1bGxSZXF1ZXN0NjQ5ODEzMzc= 815 Add drop=True option for where on Dataset and DataArray pwolfram 4295853 closed 0     21 2016-04-01T17:55:55Z 2016-04-10T00:55:47Z 2016-04-10T00:33:00Z CONTRIBUTOR   0 pydata/xarray/pulls/815

Addresses #811 to provide a Dataset and DataArray sel_where which returns a Dataset or DataArray of minimal coordinate size.

 
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142676995 MDExOlB1bGxSZXF1ZXN0NjM3MzQxODU= 800 Adds dask lock capability for backend writes pwolfram 4295853 closed 0     3 2016-03-22T14:59:56Z 2016-03-22T22:32:37Z 2016-03-22T22:32:30Z CONTRIBUTOR   0 pydata/xarray/pulls/800

This fixes an error on an asynchronous write for to_netcdf resulting in an dask.async.RuntimeError: NetCDF: HDF error

Resolves issue https://github.com/pydata/xarray/issues/793 following dask improvement at https://github.com/dask/dask/pull/1053 following advice of @shoyer.

 
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     xarray 13221727 pull

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