id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type 423742774,MDU6SXNzdWU0MjM3NDI3NzQ=,2835,Dataset.copy(deep=True) does not deepcopy .attrs,1277781,closed,0,,,12,2019-03-21T13:58:03Z,2022-09-29T16:36:52Z,2022-09-29T16:36:52Z,CONTRIBUTOR,,,,But it would be expected (at least by me) that it does.,"{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2835/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 623131373,MDU6SXNzdWU2MjMxMzEzNzM=,4087,Bug in conversion frompd.series in 0.15.1,1277781,closed,0,,,3,2020-05-22T11:04:11Z,2020-05-22T11:59:40Z,2020-05-22T11:29:46Z,CONTRIBUTOR,,,,"Bug in conversion frompd.series #### MCVE Code Sample ```python import pandas as pd import xarray as xr data3 = pd.DataFrame([(1, 2, 1), (2, 2, 1)],columns=['x', 'B', 'A']) data3 = data3.set_index(['x']) data3.rename_axis('tag', axis=1, inplace=True) data3 = data3.stack() print(data3) print(xr.DataArray.from_series(data3).sel(tag='B')) ``` #### Expected Output [2,2] #### Problem Description The same code gives the expected output in xarray 0.14.1 Also works correctly if ""tag"" dimension is properly sorted during DataFrame cretion. #### Versions
Output of xr.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.6.7 | packaged by conda-forge | (default, Jul 2 2019, 02:18:42) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.1.12-124.38.1.el7uek.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: en_US.utf8 LANG: en_US.utf8 LOCALE: en_US.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.3 xarray: 0.15.1 pandas: 0.25.0 numpy: 1.17.0 scipy: 1.3.0 netCDF4: 1.5.3 pydap: None h5netcdf: None h5py: 2.7.1 Nio: None zarr: None cftime: 1.1.3 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.16.0 distributed: None matplotlib: 3.1.1 cartopy: None seaborn: 0.9.0 numbagg: None setuptools: 46.3.1 pip: 19.2.1 conda: 4.8.3 pytest: 5.3.0 IPython: 7.7.0 sphinx: 2.1.2
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4087/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 537934462,MDU6SXNzdWU1Mzc5MzQ0NjI=,3621,""".indexes"" not updated when setting values through "".values""",1277781,closed,0,,,1,2019-12-14T16:27:27Z,2019-12-16T18:38:10Z,2019-12-16T18:38:10Z,CONTRIBUTOR,,,,"#### MCVE Code Sample ```python import xarray as xr da1 = xr.DataArray([1,2],dims=['x'],coords={'x':[0,1]}) print(da1.indexes) da1['x'].values = [1,2] print(da1.indexes) print('--------') print(da1['x']) >>> x: Int64Index([0, 1], dtype='int64', name='x') x: Int64Index([0, 1], dtype='int64', name='x') -------- array([1, 2]) Coordinates: * x (x) int32 1 2 ``` #### Expected Output ```python x: Int64Index([0, 1], dtype='int64', name='x') x: Int64Index([1, 2], dtype='int64', name='x') -------- array([1, 2]) Coordinates: * x (x) int32 1 2 ``` #### Problem Description * .indexes gets out of sync with the values stored in the array * this is unfortunate as alignment with other array is done through .indexes The issue does not occur if I a, either do not call "".indexes"" before setting the value, or b, call `da1['x'] = [1,2]` instead of `da1['x'].values = [1,2]` #### Output of ``xr.show_versions()``
INSTALLED VERSIONS ------------------ commit: None python: 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 22:01:29) [MSC v.1900 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None libhdf5: 1.10.5 libnetcdf: 4.6.3 xarray: 0.14.1 pandas: 0.25.1 numpy: 1.17.1 scipy: 1.3.1 netCDF4: 1.5.2 pydap: None h5netcdf: None h5py: 2.10.0 Nio: None zarr: None cftime: 1.0.3.4 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.4.0 distributed: 2.5.1 matplotlib: 3.1.1 cartopy: None seaborn: 0.9.0 numbagg: None setuptools: 41.2.0 pip: 19.2.3 conda: None pytest: 5.1.2 IPython: 7.8.0 sphinx: 2.2.0
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3621/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 414277715,MDU6SXNzdWU0MTQyNzc3MTU=,2786,groupby with non-scalar coordinate,1277781,closed,0,,,1,2019-02-25T19:52:29Z,2019-10-11T15:55:36Z,2019-10-11T15:55:36Z,CONTRIBUTOR,,,,"#### Code Sample ```python import numpy as np import xarray as xr def noop(da): return da def expd(da): return da.expand_dims(['A']) na=np.array([[1,2],[3,4]]) xa=xr.DataArray(na,dims=['A','B']) # This works: r1 = xa.groupby('A').apply(noop) print(""!!!!"") # This doesn't: r2 = xa.groupby('A').apply(expd) ``` #### Problem description Is this intended behavior? The reason I would need this is to be able to increase the size of each group. #### Expected Output I expect r1 to be equivalent to r2 ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2786/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue 256251595,MDU6SXNzdWUyNTYyNTE1OTU=,1563,0.8.2 incompatible with pandas 0.20.1 ?,1277781,closed,0,,,4,2017-09-08T13:19:25Z,2017-09-08T23:15:36Z,2017-09-08T20:27:06Z,CONTRIBUTOR,,,,"This issue may be related to #1386 I hope this part of the stacktrace is sufficient to demonstrate my point: File ""C:\src\validation\main\risk_reporting\data_access\db_model.py"", line 246, in get_data ds = ds.groupby('pvshort').apply(select_latest_pv) File ""C:\Anaconda2\lib\site-packages\xarray\core\common.py"", line 345, in groupby return self.groupby_cls(self, group, squeeze=squeeze) File ""C:\Anaconda2\lib\site-packages\xarray\core\groupby.py"", line 226, in __init__ unique_values, group_indices = unique_value_groups(group, sort=sort) File ""C:\Anaconda2\lib\site-packages\xarray\core\groupby.py"", line 34, in unique_value_groups inverse, values = pd.factorize(ar, sort=sort) File ""C:\Anaconda2\lib\site-packages\pandas\core\algorithms.py"", line 552, in factorize values = _ensure_arraylike(values) File ""C:\Anaconda2\lib\site-packages\pandas\core\algorithms.py"", line 166, in _ensure_arraylike values = lib.list_to_object_array(values) TypeError: Argument 'obj' has incorrect type (expected list, got DataArray) ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1563/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue