issues: 420930870

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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
420930870 MDU6SXNzdWU0MjA5MzA4NzA= 2811 concat changes variable order 5821660 closed 0     18 2019-03-14T10:11:28Z 2020-09-19T03:01:28Z 2020-09-19T03:01:28Z MEMBER      

Code Sample, a copy-pastable example if possible

A "Minimal, Complete and Verifiable Example" will make it much easier for maintainers to help you: http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports

  • Case 1: Creation of Dataset without Coordinates python data = np.zeros((2,3)) ds = xr.Dataset({'test': (['c', 'b'], data)}) print(ds.dims) ds2 = xr.concat([ds, ds], dim='c') print(ds2.dims) yields (assumed correct) output of: Frozen(SortedKeysDict({'c': 2, 'b': 3})) Frozen(SortedKeysDict({'c': 4, 'b': 3}))
  • Case 2: Creation of Dataset with Coordinates python data = np.zeros((2,3)) ds = xr.Dataset({'test': (['c', 'b'], data)}, coords={'c': (['c'], np.arange(data.shape[0])), 'b': (['b'], np.arange(data.shape[1])),}) print(ds.dims) ds2 = xr.concat([ds, ds], dim='c') print(ds2.dims) yields (assumed false) output of: Frozen(SortedKeysDict({'c': 2, 'b': 3})) Frozen(SortedKeysDict({'b': 3, 'c': 4}))

Problem description

xr.concat changes the dimension order for .dims as well as .sizes to an alphanumerically sorted representation.

Expected Output

xr.concat should not change the dimension order in any case.

Frozen(SortedKeysDict({'c': 2, 'b': 3})) Frozen(SortedKeysDict({'c': 4, 'b': 3}))

Output of xr.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.7.1 | packaged by conda-forge | (default, Nov 13 2018, 18:33:04) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.12.14-lp150.12.48-default machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: de_DE.UTF-8 LOCALE: de_DE.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.2 xarray: 0.11.3 pandas: 0.24.1 numpy: 1.16.1 scipy: 1.2.0 netCDF4: 1.4.2 pydap: None h5netcdf: 0.6.2 h5py: 2.9.0 Nio: None zarr: None cftime: 1.0.3.4 PseudonetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.2.1 cyordereddict: None dask: None distributed: None matplotlib: 3.0.2 cartopy: 0.17.0 seaborn: None setuptools: 40.8.0 pip: 19.0.2 conda: None pytest: 4.2.0 IPython: 7.2.0 sphinx: None 
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