issues_labels

Table actions

33 rows where labels_id = 4369228320

✎ View and edit SQL

This data as json, CSV (advanced)

Link labels_id issues_id
423742774,4369228320 regression 4369228320 Dataset.copy(deep=True) does not deepcopy .attrs 423742774
712217045,4369228320 regression 4369228320 Reimplement GroupBy.argmax 712217045
1315607023,4369228320 regression 4369228320 xarray 2022.6.0 doesn't work well with numpy 1.20 1315607023
1316423844,4369228320 regression 4369228320 RuntimeError when formatting sparse-backed DataArray in f-string 1316423844
1318826485,4369228320 regression 4369228320 Using a tuple as a sequence in DataArray.sel no longer supported? 1318826485
1318992926,4369228320 regression 4369228320 groupby(multi-index level) not working correctly on a multi-indexed DataArray or DataSet 1318992926
1319724885,4369228320 regression 4369228320 sel by slice not working for multi-index containing float-values 1319724885
1323521079,4369228320 regression 4369228320 Testing DataArray equality using built-in '==' operator leads to mutilated DataArray.attrs dictionary 1323521079
1330149534,4369228320 regression 4369228320 Alignment of dataset with MultiIndex fails after applying xr.concat  1330149534
1333514579,4369228320 regression 4369228320 Flox based groupby operations don't support `dtype` in mean method 1333514579
1347026292,4369228320 regression 4369228320 reset_index not resetting levels of MultiIndex 1347026292
1361896826,4369228320 regression 4369228320 reset multi-index to single index (level): coordinate not renamed 1361896826
1367029446,4369228320 regression 4369228320 Time-based resampling drops lat/lon coordinate metadata 1367029446
1389148779,4369228320 regression 4369228320 Broken state when using assign_coords with multiindex 1389148779
1402168223,4369228320 regression 4369228320 Concatenate using Multiindex cannot be unstacked anymore 1402168223
1412895383,4369228320 regression 4369228320 xarray 2022.10.0 much slower then 2022.6.0 1412895383
1419649041,4369228320 regression 4369228320 `groupby_bins` raises `AttributeError` when used with Dask, flox and option `labels` 1419649041
1423114234,4369228320 regression 4369228320 `xr.where(..., keep_attrs=True)` overwrites coordinate attributes 1423114234
1442443970,4369228320 regression 4369228320 REG: `nc_time_axis` not imported anymore 1442443970
1445905299,4369228320 regression 4369228320 groupby and mean on a MultiIndex level raises ValueError 1445905299
1461935127,4369228320 regression 4369228320 Scatter plot infers weird default values 1461935127
1575938277,4369228320 regression 4369228320 Dataset.where performances regression. 1575938277
1600983717,4369228320 regression 4369228320 MultiIndex coordinates do not exist updating v2022.3 to v2022.12 1600983717
1617395129,4369228320 regression 4369228320 groupby_bins groups not correctly applied with built-in methods 1617395129
1658287592,4369228320 regression 4369228320 Avoid recasting a CFTimeIndex 1658287592
1658287743,4369228320 regression 4369228320 align: Avoid reindexing when join="exact" 1658287743
1764262668,4369228320 regression 4369228320 .dt accessor returns int instead of float, resulting in misrepresentation of NaT values 1764262668
1924497392,4369228320 regression 4369228320 open_dataset with engine='zarr' changed from '2023.8.0' to '2023.9.0' 1924497392
1925758025,4369228320 regression 4369228320 time encoding fails for subdaily frequencies and `days since` 1925758025
1952952158,4369228320 regression 4369228320 Issue w/ new rollout? 'numpy._DTypeMeta' object is not subscriptable 1952952158
2016875829,4369228320 regression 4369228320 performance regression 2023.08 -> 2023.09 to_zarr from netcdf4 open_mfdataset 2016875829
2090281639,4369228320 regression 4369228320 objects remain unserializable after reset_index  2090281639
2132593768,4369228320 regression 4369228320 `.reset_index()`/`.reset_coords()` maintain MultiIndex status  2132593768

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);