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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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2041076267 | I_kwDOAMm_X855qFor | 8551 | Make _obj_repr public | BENR0 12115839 | closed | 0 | 4 | 2023-12-14T07:19:16Z | 2023-12-21T16:00:52Z | 2023-12-21T16:00:52Z | NONE | What is your issue?We are using https://github.com/pydata/xarray/blob/2971994ef1dd67f44fe59e846c62b47e1e5b240b/xarray/core/formatting_html.py#L278 in the html representation of |
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1512708767 | I_kwDOAMm_X85aKhqf | 7405 | Test for variable name in coords True after xr.merge with compat="minimal" | BENR0 12115839 | closed | 0 | 2 | 2022-12-28T11:39:48Z | 2023-08-30T07:57:37Z | 2023-08-30T07:57:37Z | NONE | What happened?Merging two What did you expect to happen?The test should be Minimal Complete Verifiable Example```Python import numpy as np import xarray as xr da1 = xr.DataArray(np.zeros((2, 2)), dims=("y", "x"), name="1")
c1 = ("y", ["1", "2"]) da2 = xr.DataArray(np.zeros((2, 2)), dims=("y", "x"), name="2") c2 = ("y", ["3", "4"]) da2["c1"] = c2 xrds = xr.merge([da1, da2], compat="minimal") "c1" in xrds.coords # results to True but should be False ``` MVCE confirmation
Relevant log outputNo response Anything else we need to know?No response Environment
INSTALLED VERSIONS
------------------
commit: None
python: 3.10.5 | packaged by conda-forge | (main, Jun 14 2022, 07:06:46) [GCC 10.3.0]
python-bits: 64
OS: Linux
OS-release: 5.10.0-1049-oem
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.12.1
libnetcdf: 4.8.1
xarray: 2022.12.0
pandas: 1.4.2
numpy: 1.22.3
scipy: 1.8.0
netCDF4: 1.5.8
pydap: None
h5netcdf: 1.0.0
h5py: 3.6.0
Nio: None
zarr: 2.11.3
cftime: 1.6.0
nc_time_axis: None
PseudoNetCDF: None
rasterio: 1.2.10
cfgrib: None
iris: None
bottleneck: 1.3.5
dask: 2022.05.0
distributed: 2022.5.0
matplotlib: 3.5.2
cartopy: 0.20.2
seaborn: None
numbagg: None
fsspec: 2022.8.2
cupy: None
pint: 0.19.2
sparse: None
flox: 0.6.5
numpy_groupies: 0.9.20
setuptools: 62.2.0
pip: 22.1
conda: None
pytest: 7.1.2
mypy: None
IPython: 8.3.0
sphinx: 4.5.0
|
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completed | xarray 13221727 | issue | ||||||
762385879 | MDU6SXNzdWU3NjIzODU4Nzk= | 4682 | xr.where not preserving attributes | BENR0 12115839 | closed | 0 | 2 | 2020-12-11T14:20:20Z | 2022-01-19T19:35:41Z | 2022-01-19T19:35:41Z | NONE | What happened:
Using What you expected to happen:
Attributes should be preserved or at least there should be a choice (e.g. pass kwargs to Minimal Complete Verifiable Example: ```python import numpy as np import xarray as xr data = xr.DataArray(np.ones([10,10], dtype=np.int8)) data.attrs["attr_1"] = "test1" data.attrs["attr_2"] = "test2" data2 = xr.where(data == 1, 5, 0) ``` Anything else we need to know?: Apart from loosing attributes the dtype is not conserved. In the example the resulting DataArray has dtype np.int64 instead of np.int8. As far as I can see this might not be an xarray but a numpy problem. Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.7.8 | packaged by conda-forge | (default, Jul 31 2020, 02:25:08) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 4.14.11-041411-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: 0.16.0 pandas: 1.1.2 numpy: 1.19.1 scipy: 1.5.2 netCDF4: 1.5.4 pydap: None h5netcdf: 0.8.1 h5py: 2.10.0 Nio: None zarr: 2.4.0 cftime: 1.2.1 nc_time_axis: None PseudoNetCDF: None rasterio: 1.1.5 cfgrib: None iris: None bottleneck: None dask: 2.25.0 distributed: 2.25.0 matplotlib: 3.3.1 cartopy: 0.18.0 seaborn: None numbagg: None pint: None setuptools: 49.6.0.post20200814 pip: 20.2.3 conda: None pytest: 6.0.1 IPython: 7.18.1 sphinx: 3.2.1 |
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completed | xarray 13221727 | issue |
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