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35682274,178900142 topic-groupby 178900142 groupby should work with name=None 35682274
46768521,178900142 topic-groupby 178900142 groupby reduction sometimes collapses variables into scalars 46768521
58117200,178900142 topic-groupby 178900142 Support multi-dimensional grouped operations and group_over 58117200
58288666,178900142 topic-groupby 178900142 DataArray.groupby.apply with a generic ndarray function 58288666
58307190,178900142 topic-groupby 178900142 Cleanly apply generic ndarrays to DataArray.groupby 58307190
59572709,178900142 topic-groupby 178900142 resample method 59572709
59840149,178900142 topic-groupby 178900142 Add resample, first and last 59840149
60303760,178900142 topic-groupby 178900142 pd.Grouper support? 60303760
105442957,178900142 topic-groupby 178900142 calculate percentiles 105442957
105519744,178900142 topic-groupby 178900142 Upsampling - fill 105519744
117039129,178900142 topic-groupby 178900142 groupby very slow compared to pandas 117039129
132774456,178900142 topic-groupby 178900142 Ordered Groupby Keys 132774456
139064764,178900142 topic-groupby 178900142 Add Groupby and Rolling methods to docs 139064764
149130368,178900142 topic-groupby 178900142 "Reverse" groupby method for split/apply/combine 149130368
168272291,178900142 topic-groupby 178900142 WIP: progress toward making groupby work with multiple arguments 168272291
178200674,178900142 topic-groupby 178900142 Groupby exclude dimension 178200674
184456540,178900142 topic-groupby 178900142 groupby_bins along two dims simultaneously 184456540
208215185,178900142 topic-groupby 178900142 Groupby-like API for resampling 208215185
210651795,178900142 topic-groupby 178900142 Groupby method on larger files fails unless explicitly load data in 0.9.1 210651795
231715344,178900142 topic-groupby 178900142 changes made to coords using groupby and apply do not persist 231715344
237008177,178900142 topic-groupby 178900142 groupby should still squeeze for non-monotonic inputs 237008177
243270042,178900142 topic-groupby 178900142 Time Dimension, Big problem with methods 'groupby' and 'to_netcdf' 243270042
244016361,178900142 topic-groupby 178900142 Loss of coordinate information from groupby.apply() on a stacked object 244016361
253107677,178900142 topic-groupby 178900142 Binary operations with ds.groupby('time.dayofyear') errors out, but ds.groupby('time.month') works 253107677
257070215,178900142 topic-groupby 178900142 Grouping with multiple levels 257070215
261805282,178900142 topic-groupby 178900142 groupby doesn't work when a dimension is resized as part of apply 261805282
279883145,178900142 topic-groupby 178900142 .groupby_bins fails when data is not contained in bins 279883145
279909699,178900142 topic-groupby 178900142 Error when using .apply_ufunc with .groupby_bins 279909699
288785270,178900142 topic-groupby 178900142 groupby on dask objects doesn't handle chunks well 288785270
323839238,178900142 topic-groupby 178900142 Dataset.resample() adds time dimension to independant variables 323839238
324032926,178900142 topic-groupby 178900142 groupby beahaviour w.r.t. non principal coordinates 324032926
324272267,178900142 topic-groupby 178900142 groupby should not squeeze out dimensions 324272267
333312849,178900142 topic-groupby 178900142 why time grouping doesn't preserve chunks 333312849
334154183,178900142 topic-groupby 178900142 groupby trigging StopIteration: error when ran in loop 334154183
354298235,178900142 topic-groupby 178900142 groupby().apply() on variable with NaNs raises IndexError 354298235
354535284,178900142 topic-groupby 178900142 Resample with default argument 354535284
370183554,178900142 topic-groupby 178900142 gridding data with groupby_bins in 2 dim 370183554
373653203,178900142 topic-groupby 178900142 groupby fails on generic ndarray functions 373653203
414277715,178900142 topic-groupby 178900142 groupby with non-scalar coordinate 414277715
424538928,178900142 topic-groupby 178900142 Cannot store data after group_by 424538928
425320466,178900142 topic-groupby 178900142 Allow grouping by dask variables 425320466
441088452,178900142 topic-groupby 178900142 `groupby` does not correctly handle non-dimensional coordinate 441088452
459389883,178900142 topic-groupby 178900142 groupby on empty DataArray raises StopIteration 459389883
469633509,178900142 topic-groupby 178900142 calculating cumsums on a groupby object 469633509
490476815,178900142 topic-groupby 178900142 GroupBy of stacked dim with strings renames underlying dims 490476815
506914634,178900142 topic-groupby 178900142 Mean called on groupby object adds dimensions to undesired variables 506914634
507471865,178900142 topic-groupby 178900142 reduce() by multiple dims on groupby object  507471865
507524966,178900142 topic-groupby 178900142 groupby_bins raises ufunc 'isnan' error on 0.14.0 507524966
553930127,178900142 topic-groupby 178900142 reduce on groupby auto-adds axis argument and complains when axis argument is specified 553930127
559283550,178900142 topic-groupby 178900142 groupby drops the variable used to group 559283550
566311296,178900142 topic-groupby 178900142 Downsampling with resample generates longer time array than expected 566311296
594669577,178900142 topic-groupby 178900142 compose weighted with groupby, coarsen, resample, rolling etc. 594669577
607229563,178900142 topic-groupby 178900142 Can Resample dim be spatial and not just datetime? 607229563
706568536,178900142 topic-groupby 178900142 GroupBy.map with keep_attrs=True gives error 706568536
712217045,178900142 topic-groupby 178900142 Reimplement GroupBy.argmax 712217045
898657012,178900142 topic-groupby 178900142 Inconsistent behavior in grouby depending on the dimension order 898657012
923355397,178900142 topic-groupby 178900142 Implement weighted groupby 923355397
1001197796,178900142 topic-groupby 178900142 vectorized groupby binary ops 1001197796
1119647191,178900142 topic-groupby 178900142 [FEATURE]: Use fast path when grouping by unique monotonic decreasing variable 1119647191
1177919687,178900142 topic-groupby 178900142 make more args kw only (except 'dim') 1177919687
1236174701,178900142 topic-groupby 178900142 Update GroupBy constructor for grouping by multiple variables, dask arrays 1236174701
1244211643,178900142 topic-groupby 178900142 `restore_coord_dims=True` not work for `resample` 1244211643
1268667121,178900142 topic-groupby 178900142 Refactor GroupBy init to avoid factorization 1268667121
1318808368,178900142 topic-groupby 178900142 Bump minimum numpy version to 1.20 1318808368
1318992926,178900142 topic-groupby 178900142 groupby(multi-index level) not working correctly on a multi-indexed DataArray or DataSet 1318992926
1362683132,178900142 topic-groupby 178900142 `mean` returns empty DataArray for `groupby_bins` containing `datetime64` 1362683132
1370340170,178900142 topic-groupby 178900142 Preserve all attrs with GroupBy by default. 1370340170
1376479521,178900142 topic-groupby 178900142 Add Ellipsis typehint to reductions 1376479521
1377097243,178900142 topic-groupby 178900142 Add parse_dims func 1377097243
1390999159,178900142 topic-groupby 178900142 Fix to_index(): return multiindex level as single index 1390999159
1403614394,178900142 topic-groupby 178900142 Cumulative examples 1403614394
1419649041,178900142 topic-groupby 178900142 `groupby_bins` raises `AttributeError` when used with Dask, flox and option `labels` 1419649041
1421036686,178900142 topic-groupby 178900142 Fix binning when labels are provided. 1421036686
1421065459,178900142 topic-groupby 178900142 Save groupby codes after factorizing, pass to flox 1421065459
1445905299,178900142 topic-groupby 178900142 groupby and mean on a MultiIndex level raises ValueError 1445905299
1468671915,178900142 topic-groupby 178900142 Enable mypy warn unused ignores 1468671915
1523260646,178900142 topic-groupby 178900142 Change .groupby fastpath to work for monotonic increasing and decreasing 1523260646
1535387692,178900142 topic-groupby 178900142 Preserve `base` and `loffset` arguments in `resample` 1535387692
1550109629,178900142 topic-groupby 178900142 bump minimum versions, drop py38 1550109629
1573161497,178900142 topic-groupby 178900142 [pre-commit.ci] pre-commit autoupdate 1573161497
1593602847,178900142 topic-groupby 178900142 DatasetGroupBy.mean discards attributes on coordinate 1593602847
1600382587,178900142 topic-groupby 178900142 Introduce Grouper objects internally 1600382587
1617395129,178900142 topic-groupby 178900142 groupby_bins groups not correctly applied with built-in methods 1617395129
1630321147,178900142 topic-groupby 178900142 Set copy=False when calling pd.Series 1630321147
1642299599,178900142 topic-groupby 178900142 automatically chunk in groupby binary ops 1642299599
1642301775,178900142 topic-groupby 178900142 Automatically chunk `other` in GroupBy binary ops. 1642301775
1657036222,178900142 topic-groupby 178900142 flox performance regression for cftime resampling 1657036222
1661789758,178900142 topic-groupby 178900142 Fix typo 1661789758
1670415238,178900142 topic-groupby 178900142 groupby_bins returns data in reversed order 1670415238
1671616256,178900142 topic-groupby 178900142 Fix binning by unsorted array 1671616256
1675073096,178900142 topic-groupby 178900142 Fix groupby_bins when labels are specified 1675073096
1689364566,178900142 topic-groupby 178900142 Speed up .dt accessor by preserving Index objects. 1689364566
1689655334,178900142 topic-groupby 178900142 More `groupby` indexing problems 1689655334
1689773381,178900142 topic-groupby 178900142 Fix groupby binary ops when grouped array is subset relative to other 1689773381
1692597701,178900142 topic-groupby 178900142 Default behaviour of `min_count` wrong with flox 1692597701
1692612622,178900142 topic-groupby 178900142 Fix `min_count` behaviour with flox. 1692612622
1700678362,178900142 topic-groupby 178900142 GroupBy: Fix reducing by subset of grouper dims 1700678362
1701070898,178900142 topic-groupby 178900142 Fix .groupby(multi index level) 1701070898
1742515243,178900142 topic-groupby 178900142 Have a minimum observation keyword to Dataset.groupby() and DataArray.groupby() methods to remove bins with very few observations. 1742515243
1757661617,178900142 topic-groupby 178900142 Grouper object does not handle IndexVariable 1757661617

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