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Link labels_id issues_id
187608079,2616290880 plan to close 2616290880 Is there a more efficient way to convert a subset of variables to a dataframe? 187608079
197939448,2616290880 plan to close 2616290880 Document using a spawning multiprocessing pool for multiprocessing with dask 197939448
270677100,2616290880 plan to close 2616290880 Add option “engine” 270677100
316540429,2616290880 plan to close 2616290880 recommend xr.Dataset.from_dataframe(df) instead of xr.Dataset(df) for… 316540429
320838184,2616290880 plan to close 2616290880 Avoiding duplicate time coordinates when opening multiple files 320838184
336371511,2616290880 plan to close 2616290880 Add automatic chunking to open_rasterio 336371511
341321742,2616290880 plan to close 2616290880 ENH: Adapt scipy example to imageio 341321742
365367839,2616290880 plan to close 2616290880 Add 'to_iris' and 'from_iris' to methods Dataset 365367839
376389539,2616290880 plan to close 2616290880 HDF error when trying to write Dataset read with rasterio to NetCDF 376389539
377356113,2616290880 plan to close 2616290880 full_like, ones_like, zeros_like should retain subclasses 377356113
394423623,2616290880 plan to close 2616290880 Opening a file with open_mfdataset fails if dask is not installed: ModuleNotFoundError: No module named 'dask.base' 394423623
422903285,2616290880 plan to close 2616290880 to_netcdf() fails to write if input is read from netcdf3_classic 422903285
430188626,2616290880 plan to close 2616290880 Dask distributed tests fail locally 430188626
462049420,2616290880 plan to close 2616290880 Flat iteration over DataArray 462049420
529644880,2616290880 plan to close 2616290880 xr.DataArray.values fails with latest versions of netcdf4 529644880
576337745,2616290880 plan to close 2616290880 Errors using to_zarr for an s3 store 576337745
645062817,2616290880 plan to close 2616290880 Fix min_deps_check; revert to support numpy=1.14 and pandas=0.24 645062817
686608969,2616290880 plan to close 2616290880 Error when rechunking from Zarr store 686608969
730792268,2616290880 plan to close 2616290880 Writing subset of array with to_zarr 730792268
818583834,2616290880 plan to close 2616290880 implemented pad with new-indexes 818583834
863332419,2616290880 plan to close 2616290880 allow you to raise error on missing zarr chunks with open_dataset/open_zarr 863332419
879033384,2616290880 plan to close 2616290880 DataArray.clip() no longer supports the out argument 879033384
887711474,2616290880 plan to close 2616290880 Inconclusive error messages using to_zarr with regions 887711474
1060265915,2616290880 plan to close 2616290880 Memory leak with `open_zarr` default chunking option 1060265915
1068225524,2616290880 plan to close 2616290880 `xarray.open_zarr()` takes too long to lazy load when the data arrays contain a large number of Dask chunks. 1068225524
1192449540,2616290880 plan to close 2616290880 Unstacking the diagonals of a sequence of matrices raises ValueError: IndexVariable objects must be 1-dimensional 1192449540
1195659402,2616290880 plan to close 2616290880 workaround to implement groupby_bins along dimension 1195659402
1196425693,2616290880 plan to close 2616290880 2022.03.0: sphinx fails on generate documentation 1196425693
1223031600,2616290880 plan to close 2616290880 Excessive memory consumption by to_dataframe() 1223031600
1239640898,2616290880 plan to close 2616290880 make a new dimension with dataset.merge 1239640898
1282651087,2616290880 plan to close 2616290880 Losing CRS when interpolating 1282651087
1290704150,2616290880 plan to close 2616290880 to_zarr(mode='w') does not overwrite correctly/successfully when changing chunk size 1290704150
1306457778,2616290880 plan to close 2616290880 get_data or get_varibale method 1306457778
1318800553,2616290880 plan to close 2616290880 Require a pull request before merging to main 1318800553
1329407773,2616290880 plan to close 2616290880 RuntimeError: NetCDF: HDF error 1329407773
1335419018,2616290880 plan to close 2616290880 Subplots w/ xarrays 1335419018
1338173609,2616290880 plan to close 2616290880 plt.imshow() vs xarray_dataset.plot.imshow() not rendering correctly | Potential Bug 1338173609
1361989642,2616290880 plan to close 2616290880 New MultiIndex dimension behaviours 1361989642
1363366455,2616290880 plan to close 2616290880 `ffill` does not spread chunks when used with dask.array 1363366455
1374911473,2616290880 plan to close 2616290880 Xarray returns duplicate Longitude/Latitude values with sel method  1374911473
1396969695,2616290880 plan to close 2616290880 `rolling().sum()` is numerically unstable 1396969695
1399324758,2616290880 plan to close 2616290880 import xarray causes fatal python crash on windows when h5netcdf and netcdf4 are installed 1399324758
1406633320,2616290880 plan to close 2616290880 AttributeError raised when DataArray.reduce is called directly 1406633320
1429172192,2616290880 plan to close 2616290880 include/exclude lists in Dataset.expand_dims 1429172192
1437481995,2616290880 plan to close 2616290880 🐛 NetCDF4 RuntimeWarning if xarray is imported before netCDF4 1437481995
1574694462,2616290880 plan to close 2616290880 intermittent failures with h5netcdf, h5py on macos 1574694462
1630998880,2616290880 plan to close 2616290880 Tests fail to run: SystemError: initialization of _internal failed without raising an exception 1630998880
1635711704,2616290880 plan to close 2616290880 I would suggest rewriting some of the documentation, not very clear in many places 1635711704
1804983457,2616290880 plan to close 2616290880 Existing chunks not being respected on to_zarr() 1804983457
1845132891,2616290880 plan to close 2616290880 Dataset.chunk() does not overwrite encoding["chunks"]  1845132891
1858791026,2616290880 plan to close 2616290880 additional option for ```dataset.plot.quiver``` : provide control over the arrows density through the native ```xarray``` quiver API 1858791026
1871941867,2616290880 plan to close 2616290880 Failed in nopython mode pipeline (step: nopython frontend) 1871941867
1962261587,2616290880 plan to close 2616290880 Type annotations for Dataset.where and DataArray.where are wrong when subclassed 1962261587
1965161886,2616290880 plan to close 2616290880 Zarr Chunks: Too many chunks created if there is one small initial chunk. 1965161886
1966675016,2616290880 plan to close 2616290880 Type annotation compatibility with numpy ufuncs 1966675016
1975845455,2616290880 plan to close 2616290880 Segmentation fault 139 (SIGSEGV) 1975845455
1995489227,2616290880 plan to close 2616290880 Errors when assigning using `.from_pandas_multiindex` 1995489227
2001862214,2616290880 plan to close 2616290880 inplace argument for fun like drop 2001862214
2019645081,2616290880 plan to close 2616290880 Allow some notion of ordering in Dataset dims 2019645081
2041076267,2616290880 plan to close 2616290880 Make _obj_repr public 2041076267
2059035193,2616290880 plan to close 2616290880 NetCDF writing error  2059035193
2066807588,2616290880 plan to close 2616290880 ValueError: conflicting sizes for dimension in xr.open_dataset("reference://"...) VS. no error in xr.open_dataset(direct_file_path) for h5 2066807588
2109180364,2616290880 plan to close 2616290880 Wrong sum of boolean negation 2109180364
2115555965,2616290880 plan to close 2616290880 Return a 3D object alongside 1D object in apply_ufunc 2115555965
2117245042,2616290880 plan to close 2616290880 calling to_zarr inside map_blocks function results in missing values 2117245042
2188557281,2616290880 plan to close 2616290880 Opening zarr dataset with poor connection leads to NaN chunks 2188557281
2189919172,2616290880 plan to close 2616290880 numpy where argument crashes the program 2189919172
2197290853,2616290880 plan to close 2616290880 impossible to save in netcdf because of the time dimension 2197290853
2224036575,2616290880 plan to close 2616290880 Variable doesn't have an .expand_dims method 2224036575
2229440952,2616290880 plan to close 2616290880 from_array() got an unexpected keyword argument 'inline_array' 2229440952
2230680765,2616290880 plan to close 2616290880 Using the xarray.Dataset.where() function takes up a lot of memory 2230680765

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CREATE TABLE [issues_labels] (
   [labels_id] INTEGER REFERENCES [labels]([id]),
   [issues_id] INTEGER REFERENCES [issues]([id]),
   PRIMARY KEY ([issues_id], [labels_id])
);
CREATE INDEX [idx_issues_labels_issues_id]
    ON [issues_labels] ([issues_id]);
CREATE INDEX [idx_issues_labels_labels_id]
    ON [issues_labels] ([labels_id]);
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