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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 |
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784042442 | MDU6SXNzdWU3ODQwNDI0NDI= | 4796 | Use apply_ufunc for unary funcs | FabianHofmann 19226431 | open | 0 | 3 | 2021-01-12T08:56:03Z | 2022-04-18T16:31:02Z | CONTRIBUTOR | DataArray.clip() of a chunked array returns an assertion error as soon as the argument takes an chunked array. With non-chunked arrays every thing works as intended.
Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.7.9 | packaged by conda-forge | (default, Dec 9 2020, 21:08:20) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 5.4.0-60-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.3 xarray: 0.16.2 pandas: 1.2.0 numpy: 1.19.5 scipy: 1.5.0 netCDF4: 1.5.3 pydap: None h5netcdf: 0.7.4 h5py: 2.10.0 Nio: None zarr: 2.3.2 cftime: 1.0.4.2 nc_time_axis: None PseudoNetCDF: None rasterio: 1.1.0 cfgrib: None iris: None bottleneck: 1.2.1 dask: 2020.12.0 distributed: 2020.12.0 matplotlib: 3.1.3 cartopy: 0.18.0 seaborn: 0.11.0 numbagg: None pint: None setuptools: 49.2.1.post20200807 pip: 20.2.1 conda: 4.8.3 pytest: 6.0.1 IPython: 7.11.1 sphinx: 3.1.2 |
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xarray 13221727 | issue | ||||||||
830040696 | MDU6SXNzdWU4MzAwNDA2OTY= | 5024 | xr.DataArray.sum() converts string objects into unicode | FabianHofmann 19226431 | open | 0 | 0 | 2021-03-12T11:47:06Z | 2022-04-09T01:40:09Z | CONTRIBUTOR | What happened: When summing over all axes of a DataArray with strings of dtype What you expected to happen: I expected the summation would preserve the dtype, meaning the one-size DataArray would be of dtype Minimal Complete Verifiable Example:
Output
On the other hand, when summing over one dimension only, the dtype is preserved
Output:
Anything else we need to know?: The problem becomes relevant as soon as dask is used in the workflow. Dask expects the aggregated DataArray to be of dtype Probably the behavior comes from creating a new DataArray after the reduction with Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 5.4.0-66-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.16.2 pandas: 1.2.1 numpy: 1.19.5 scipy: 1.6.0 netCDF4: 1.5.5.1 pydap: None h5netcdf: 0.7.4 h5py: 3.1.0 Nio: None zarr: 2.3.2 cftime: 1.3.1 nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.0 cfgrib: None iris: None bottleneck: 1.3.2 dask: 2021.01.1 distributed: 2021.01.1 matplotlib: 3.3.3 cartopy: 0.18.0 seaborn: 0.11.1 numbagg: None pint: None setuptools: 52.0.0.post20210125 pip: 21.0 conda: 4.9.2 pytest: 6.2.2 IPython: 7.19.0 sphinx: 3.4.3 |
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xarray 13221727 | issue |
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