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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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1318369110 | I_kwDOAMm_X85OlLdW | 6828 | xarray.DataArray.str.cat() doesn't work on chunked data | tbloch1 34276374 | open | 0 | 3 | 2022-07-26T14:58:16Z | 2023-01-17T18:36:14Z | NONE | What happened?I was trying to concatenate some DataArrays of strings, and it kept just returning the first DataArray without any changes. What did you expect to happen?I was expecting it to just provide the strings, concatenated together with the spearator between them. Minimal Complete Verifiable Example```Python da = xr.DataArray( np.zeros((2, 2)).astype(str), coords={'x':np.arange(2), 'y': np.arange(2)}, dims=['x', 'y']) dac = da.chunk() print((da == dac).values.all()) print((da.str.cat(da, sep='--') == dac.str.cat(dac, sep='--')).values.all()) print((da.str.cat(da, sep='--') == dac.compute().str.cat(dac.compute(), sep='--')).values.all())
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Relevant log outputNo response Anything else we need to know?No response Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.8.10 (default, Mar 15 2022, 12:22:08)
[GCC 9.4.0]
python-bits: 64
OS: Linux
OS-release: 5.11.0-27-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: C.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.2
libnetcdf: 4.9.0
xarray: 2022.3.0
pandas: 1.4.2
numpy: 1.22.4
scipy: 1.8.1
netCDF4: 1.6.0
pydap: None
h5netcdf: 1.0.1
h5py: 3.6.0
Nio: None
zarr: 2.11.3
cftime: 1.6.1
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.10
cfgrib: None
iris: None
bottleneck: None
dask: 2022.7.0
distributed: None
matplotlib: 3.5.2
cartopy: None
seaborn: None
numbagg: None
fsspec: 2022.5.0
cupy: None
pint: None
sparse: None
setuptools: 62.3.2
pip: 22.1.2
conda: None
pytest: None
IPython: 8.3.0
sphinx: None
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xarray 13221727 | issue |
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