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42 rows where labels_id = 146501305

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Link labels_id pull_requests_id
146501305,26657336 enhancement 146501305 Variables no longer conflict if they are broadcast equal and rather are promoted to use common dimensions 26657336
146501305,26786572 enhancement 146501305 Switch to use nan-skipping aggregation functions by default and add .median() method 26786572
146501305,29500687 enhancement 146501305 Support reindexing with an optional fill method 29500687
146501305,29671328 enhancement 146501305 Cleanly apply generic ndarrays to DataArray.groupby 29671328
146501305,29759819 enhancement 146501305 Dataset.apply works if func returns like-shaped ndarrays 29759819
146501305,30742701 enhancement 146501305 Add "engine" argument and fix reading mmapped data with scipy.io.netcdf 30742701
146501305,31092718 enhancement 146501305 API: new methods {Dataset/DataArray}.swap_dims 31092718
146501305,31399492 enhancement 146501305 ENH: fillna method for Dataset, DataArray and GroupBy objects 31399492
146501305,31706895 enhancement 146501305 ENH: Add Dataset.assign and .assign_coords 31706895
146501305,31900191 enhancement 146501305 WIP: support dask.array in xray objects 31900191
146501305,33824307 enhancement 146501305 Dataset.to_array and DataArray.to_dataset methods 33824307
146501305,34407801 enhancement 146501305 Add robust retry logic when accessing remote datasets 34407801
146501305,37376969 enhancement 146501305 Add pipe method copied from pandas 37376969
146501305,44593215 enhancement 146501305 Adding a generalized 1D plotting function 44593215
146501305,46689632 enhancement 146501305 Add subplot_kws arg to plotting interfaces 46689632
146501305,70302527 enhancement 146501305 roundtrip boolean datatype 70302527
146501305,79321657 enhancement 146501305 WIP: progress toward making groupby work with multiple arguments 79321657
146501305,106592251 enhancement 146501305 Groupby-like API for resampling 106592251
146501305,112493348 enhancement 146501305 Add how=count option to resample 112493348
146501305,121379600 enhancement 146501305 Speed up `decode_cf_datetime` 121379600
146501305,122418207 enhancement 146501305 scalar_level in MultiIndex 122418207
146501305,136113206 enhancement 146501305 ENH: Support using opened netCDF4.Dataset (Fixes #1459) 136113206
146501305,136815948 enhancement 146501305 Add `pathlib.Path` support to `open_(mf)dataset` 136815948
146501305,137274781 enhancement 146501305 Automatic parallelization for dask arrays in apply_ufunc 137274781
146501305,351354928 enhancement 146501305 Strided rolling 351354928
146501305,369184294 enhancement 146501305 Implementation of polyfit and polyval 369184294
146501305,397320781 enhancement 146501305 sel along 1D non-index coordinates 397320781
146501305,399200887 enhancement 146501305 Support multiple dimensions in DataArray.argmin() and DataArray.argmax() methods 399200887
146501305,564334845 enhancement 146501305 Basic curvefit implementation 564334845
146501305,657015858 enhancement 146501305 Multi dimensional histogram (see #5400 instead) 657015858
146501305,657061829 enhancement 146501305 Multidimensional histogram 657061829
146501305,757916759 enhancement 146501305 Optional tolerance feature to isin per issue #5587 757916759
146501305,799424119 enhancement 146501305 Weighted quantile 799424119
146501305,863662656 enhancement 146501305 Drop duplicates over multiple dims, and add Dataset.drop_duplicates 863662656
146501305,906289700 enhancement 146501305 Support **kwargs form in `.chunk()` 906289700
146501305,925889142 enhancement 146501305 New inline_array kwarg for open_dataset 925889142
146501305,1024003776 enhancement 146501305 Hypothesis strategies in xarray.testing.strategies 1024003776
146501305,1044674288 enhancement 146501305 Support the new compression argument in netCDF4 > 1.6.0 1044674288
146501305,1052339012 enhancement 146501305 Generalize handling of chunked array types 1052339012
146501305,1306588555 enhancement 146501305 Add lshift and rshift operators 1306588555
146501305,1377660249 enhancement 146501305 Add errors option to curvefit 1377660249
146501305,1626847331 enhancement 146501305 Add Cumulative aggregation 1626847331

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CREATE TABLE [labels_pull_requests] (
   [labels_id] INTEGER REFERENCES [labels]([id]),
   [pull_requests_id] INTEGER REFERENCES [pull_requests]([id]),
   PRIMARY KEY ([labels_id], [pull_requests_id])
);
CREATE INDEX [idx_labels_pull_requests_pull_requests_id]
    ON [labels_pull_requests] ([pull_requests_id]);
CREATE INDEX [idx_labels_pull_requests_labels_id]
    ON [labels_pull_requests] ([labels_id]);
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