issues: 900502141
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| 900502141 | MDU6SXNzdWU5MDA1MDIxNDE= | 5368 | ds.mean('dim') drops strings dataarrays, even when the 'dim' is not dimension of the string dataarray | 18579092 | closed | 0 | 2 | 2021-05-25T08:41:22Z | 2021-06-12T17:45:00Z | 2021-06-12T17:45:00Z | CONTRIBUTOR | What happened: I have a dataset along many dimensions, e.g. time and experiments. Some of the dataarrays only contain strings and only have the experiments as dimension. When I use What you expected to happen: I would expect that the mean on the full dataset would be similar that what happends with float dataarrays that don't contain the dimension: just return them unchanged. As shown in the minimal example attached, using ds.min produced the result I would expect. Minimal Complete Verifiable Example: Here ```python import xarray as xr da1 = xr.DataArray(['a','b']).rename('da1') print(da1, '\n') da3 = xr.DataArray([-1, -2]).rename('da3') print(da3, '\n') da2 = xr.DataArray([[0,1],[2,3]]).rename('da2') print(da2, '\n') ds = xr.merge([da1,da2,da3]) print(ds, '\n') print('mean:', ds.mean('dim_1')) print('min:', ds.min('dim_1')) ``` And the output is: ``` <xarray.DataArray 'da1' (dim_0: 2)> array(['a', 'b'], dtype='<U1') Dimensions without coordinates: dim_0 <xarray.DataArray 'da3' (dim_0: 2)> array([-1, -2]) Dimensions without coordinates: dim_0 <xarray.DataArray 'da2' (dim_0: 2, dim_1: 2)> array([[0, 1], [2, 3]]) Dimensions without coordinates: dim_0, dim_1 <xarray.Dataset> Dimensions: (dim_0: 2, dim_1: 2) Dimensions without coordinates: dim_0, dim_1 Data variables: da1 (dim_0) <U1 'a' 'b' da2 (dim_0, dim_1) int64 0 1 2 3 da3 (dim_0) int64 -1 -2 mean: <xarray.Dataset> Dimensions: (dim_0: 2) Dimensions without coordinates: dim_0 Data variables: da2 (dim_0) float64 0.5 2.5 da3 (dim_0) int64 -1 -2 min: <xarray.Dataset> Dimensions: (dim_0: 2) Dimensions without coordinates: dim_0 Data variables: da1 (dim_0) <U1 'a' 'b' da2 (dim_0) int64 0 2 da3 (dim_0) int64 -1 -2 ``` I searched in the opened issues but haven't seen any similar one. I hope I did not miss anything there nor in the doc. Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.8.5 (default, Jan 27 2021, 15:41:15) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 5.8.0-50-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.12.0 libnetcdf: 4.7.4 xarray: 0.18.0 pandas: 1.2.4 numpy: 1.20.3 scipy: 1.6.3 netCDF4: 1.5.6 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.4.1 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2021.05.0 distributed: 2021.05.0 matplotlib: 3.4.2 cartopy: 0.19.0.post1 seaborn: 0.11.1 numbagg: None pint: None setuptools: 44.0.0 pip: 20.0.2 conda: None pytest: 6.2.4 IPython: 7.23.1 sphinx: None |
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completed | 13221727 | issue |