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8 rows where milestone = 1172685, repo = 13221727 and type = "pull" sorted by updated_at descending

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  • xarray · 8 ✖
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
95532383 MDExOlB1bGxSZXF1ZXN0NDAxNzcyNjQ= 478 Xray v0.5.2 updates shoyer 1217238 closed 0   0.5.2 1172685 0 2015-07-16T21:19:14Z 2015-07-16T21:40:23Z 2015-07-16T21:40:22Z MEMBER   0 pydata/xarray/pulls/478

Fixes #444

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    xarray 13221727 pull
95306928 MDExOlB1bGxSZXF1ZXN0NDAwNzgzNjQ= 477 Bytes attributes are decoded to strings with engine='h5netcdf' shoyer 1217238 closed 0   0.5.2 1172685 0 2015-07-15T22:49:03Z 2015-07-16T18:11:42Z 2015-07-16T18:11:42Z MEMBER   0 pydata/xarray/pulls/477

Fixes #451

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    xarray 13221727 pull
95089244 MDExOlB1bGxSZXF1ZXN0Mzk5ODMwNzY= 473 Rewrite of xray.concat shoyer 1217238 closed 0   0.5.2 1172685 0 2015-07-15T02:33:40Z 2015-07-15T21:47:14Z 2015-07-15T21:47:11Z MEMBER   0 pydata/xarray/pulls/473

Fixes #464 Fixes #438

The optional arguments concat_over and mode in xray.concat have been removed and replaced by data_vars and coords. The new arguments are both more easily understood and more robustly implemented.

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    xarray 13221727 pull
95011790 MDExOlB1bGxSZXF1ZXN0Mzk5NDg2MzA= 472 Add support for reading/writing complex numbers with h5netcdf shoyer 1217238 closed 0   0.5.2 1172685 0 2015-07-14T18:48:03Z 2015-07-14T20:24:06Z 2015-07-14T20:24:04Z MEMBER   0 pydata/xarray/pulls/472
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    xarray 13221727 pull
92528846 MDExOlB1bGxSZXF1ZXN0MzkwNDI4ODc= 450 Add xray.save_mfdataset shoyer 1217238 closed 0   0.5.2 1172685 0 2015-07-02T02:19:41Z 2015-07-06T18:41:27Z 2015-07-06T18:41:25Z MEMBER   0 pydata/xarray/pulls/450

This function allows for saving multiple datasets to disk simultaneously, which is useful when processing large datasets with dask.array. For example, to save a dataset too big to fit into memory to one file per year, we could write:

```

years, datasets = zip(*ds.groupby('time.year')) paths = ['%s.nc' % y for y in years] xray.save_mfdataset(datasets, paths) ```

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93151446 MDExOlB1bGxSZXF1ZXN0MzkyMjc5MDg= 454 Fixed bug in serializing datetime scalars shoyer 1217238 closed 0   0.5.2 1172685 0 2015-07-05T22:18:07Z 2015-07-06T04:56:53Z 2015-07-06T04:56:52Z MEMBER   0 pydata/xarray/pulls/454
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    xarray 13221727 pull
93151483 MDExOlB1bGxSZXF1ZXN0MzkyMjc5MTI= 455 Fix min/max for arrays with string or unicode types shoyer 1217238 closed 0   0.5.2 1172685 0 2015-07-05T22:18:31Z 2015-07-06T04:56:22Z 2015-07-06T04:56:20Z MEMBER   0 pydata/xarray/pulls/455

Fixes #453

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    xarray 13221727 pull
91547750 MDExOlB1bGxSZXF1ZXN0Mzg3MTk1MTI= 446 Preprocess argument for open_mfdataset and threading lock shoyer 1217238 closed 0   0.5.2 1172685 4 2015-06-28T03:33:19Z 2015-07-02T17:16:41Z 2015-06-29T18:06:54Z MEMBER   0 pydata/xarray/pulls/446

Fixes #443 Fixes #444

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    xarray 13221727 pull

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