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72 rows where labels_id = 114009979

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Link labels_id issues_id
29008494,114009979 topic-pandas-like 114009979 Allow datetime.timedelta coordinates. 29008494
29030870,114009979 topic-pandas-like 114009979 Add a DataArray.dropna() method for removing missing values 29030870
29136905,114009979 topic-pandas-like 114009979 Implement DataArray.idxmax() 29136905
33559045,114009979 topic-pandas-like 114009979 Wrap bottleneck for fast moving window aggregations 33559045
33833155,114009979 topic-pandas-like 114009979 More consistent datetime conversion 33833155
35682617,114009979 topic-pandas-like 114009979 DataArray should support math with pandas.tseries.offsets objects 35682617
35956575,114009979 topic-pandas-like 114009979 Support pandas.MultIndex axes on xray objects 35956575
37840634,114009979 topic-pandas-like 114009979 DataArray.loc should accept boolean arrays 37840634
37845163,114009979 topic-pandas-like 114009979 WIP: Automatic label alignment for mathematical operations 37845163
38109425,114009979 topic-pandas-like 114009979 Plot methods 38109425
38110382,114009979 topic-pandas-like 114009979 Automatic label alignment 38110382
38700243,114009979 topic-pandas-like 114009979 Implementation of Dataset.apply method 38700243
38959339,114009979 topic-pandas-like 114009979 Allow for indexing datasets with a list of variables 38959339
39163624,114009979 topic-pandas-like 114009979 .loc and .sel support indexing with boolean arrays 39163624
39383188,114009979 topic-pandas-like 114009979 Support mathematical operators (+-*/, etc) for Dataset objects 39383188
39919261,114009979 topic-pandas-like 114009979 Should iterating over a Dataset include coordinates? 39919261
42380798,114009979 topic-pandas-like 114009979 set_index(keys, inplace=False) should be both a DataArray and Dataset method. 42380798
45212731,114009979 topic-pandas-like 114009979 add count() method for missing values to Dataset and DataArray 45212731
45939832,114009979 topic-pandas-like 114009979 Add dropna method to Dataset and DataArray 45939832
46322244,114009979 topic-pandas-like 114009979 xray should handle masked arrays properly 46322244
51070269,114009979 topic-pandas-like 114009979 Add support for attribute based variable lookups? 51070269
51780993,114009979 topic-pandas-like 114009979 Allow for pd.TimedeltaIndex and serialize it to netCDF 51780993
52444993,114009979 topic-pandas-like 114009979 Coerce arrays of datetime.datetime objects into datetime64 52444993
52798640,114009979 topic-pandas-like 114009979 Should we support attribute style setting of variables or attributes? 52798640
52799752,114009979 topic-pandas-like 114009979 Add attribute style access for variables and attributes 52799752
53308939,114009979 topic-pandas-like 114009979 Add a percentile/quantile method 53308939
53314251,114009979 topic-pandas-like 114009979 Switch to use nan-skipping aggregation functions by default and add .median() method 53314251
53719931,114009979 topic-pandas-like 114009979 Skip NA in groupby groups 53719931
56764870,114009979 topic-pandas-like 114009979 Dataset.assign and Dataset.assign_coords 56764870
57577216,114009979 topic-pandas-like 114009979 Automatic label-based alignment for math and Dataset constructor 57577216
58679397,114009979 topic-pandas-like 114009979 Unify netCDF4 and scipy backends in the public API 58679397
58857388,114009979 topic-pandas-like 114009979 Add Dataset.drop and DataArray.drop 58857388
59572709,114009979 topic-pandas-like 114009979 resample method 59572709
59720901,114009979 topic-pandas-like 114009979 add .dt and .str accessors to DataArray (like pandas.Series) 59720901
59840149,114009979 topic-pandas-like 114009979 Add resample, first and last 59840149
62585113,114009979 topic-pandas-like 114009979 ENH: fillna method for Dataset, DataArray and GroupBy objects 62585113
63634045,114009979 topic-pandas-like 114009979 ENH: Add Dataset.assign and .assign_coords 63634045
87025092,114009979 topic-pandas-like 114009979 Add pipe method copied from pandas 87025092
98250388,114009979 topic-pandas-like 114009979 Add "where" method copied from pandas 98250388
105519744,114009979 topic-pandas-like 114009979 Upsampling - fill 105519744
108479102,114009979 topic-pandas-like 114009979 Add a method .shift() for shifting coordinate labels 108479102
113499493,114009979 topic-pandas-like 114009979 add rolling_apply method or function 113499493
124573556,114009979 topic-pandas-like 114009979 TST: add test for converting 0-len Series 124573556
149229636,114009979 topic-pandas-like 114009979 WIP for transitioning from Panel docs 149229636
159536177,114009979 topic-pandas-like 114009979 Allow passing a default value (instead of ndarray) for data argument for DataArray 159536177
171077425,114009979 topic-pandas-like 114009979 sortby() or sort_index() method for Dataset and DataArray 171077425
182667672,114009979 topic-pandas-like 114009979 center=True for xarray.DataArray.rolling() 182667672
192248351,114009979 topic-pandas-like 114009979 win_type for rolling() ? 192248351
205473898,114009979 topic-pandas-like 114009979 CFTimeIndex 205473898
207584994,114009979 topic-pandas-like 114009979 Add isin method to Dataset and DataArray 207584994
207587161,114009979 topic-pandas-like 114009979 GroupBy like API for resample 207587161
208215185,114009979 topic-pandas-like 114009979 Groupby-like API for resampling 208215185
216836795,114009979 topic-pandas-like 114009979 Add how=count option to resample 216836795
230214809,114009979 topic-pandas-like 114009979 Indexing time with lists 230214809
243038175,114009979 topic-pandas-like 114009979 Fix test suite failure in TestDataset.test_sel 243038175
245624267,114009979 topic-pandas-like 114009979 lazily load dask arrays to dask data frames by calling to_dask_dataframe  245624267
251666172,114009979 topic-pandas-like 114009979 rolling requires pandas >= 0.18 251666172
260611548,114009979 topic-pandas-like 114009979 Some tests still check pandas version 260611548
265056503,114009979 topic-pandas-like 114009979 Resample / upsample behavior diverges from pandas  265056503
323765896,114009979 topic-pandas-like 114009979 add CFTimeIndex enabled date_range function 323765896
327875183,114009979 topic-pandas-like 114009979 DEPS: drop numpy < 1.12 327875183
411650684,114009979 topic-pandas-like 114009979 Applying the stack function to DataArray resulted in data type changes on coordinates 411650684
479940669,114009979 topic-pandas-like 114009979 Custom fill_value for from_dataframe/from_series 479940669
593029940,114009979 topic-pandas-like 114009979 Feature request xarray.Dataset.from_dask_dataframe 593029940
594790230,114009979 topic-pandas-like 114009979 ENH: Support more of the pandas str accessors 594790230
1361246796,114009979 topic-pandas-like 114009979 FutureWarning for pandas date_range 1361246796
1383037028,114009979 topic-pandas-like 114009979 Should Xarray have a read_csv method? 1383037028
1446967076,114009979 topic-pandas-like 114009979 Enable `origin` and `offset` arguments in `resample` 1446967076
1642700450,114009979 topic-pandas-like 114009979 sortby with multiple coords using different orders 1642700450
1970215879,114009979 topic-pandas-like 114009979 Port fix from pandas-dev/pandas#55283 to cftime resample 1970215879
2083501344,114009979 topic-pandas-like 114009979 more frequency string updates? 2083501344
2090340727,114009979 topic-pandas-like 114009979 rename "Y" freq string to "YE" (pandas parity) 2090340727

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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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