issues: 1168235330
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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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1168235330 | I_kwDOAMm_X85FodtC | 6354 | `DataArray.drop_sel()` along a MultiIndex-ed dimension drops too much data | 25489199 | open | 0 | 1 | 2022-03-14T11:21:57Z | 2023-01-17T03:40:50Z | NONE | What happened?Calling the Assuming that dimension
What did you expect to happen?I expected that at least the first call would result in a correctly dropped item along dimension It would be convenient for the second call to also work, but the analogous call to Minimal Complete Verifiable Example```Python import numpy as np import xarray as xr Create a DataArray with a MultiIndex-ed dimension:da = xr.DataArray( np.reshape(np.arange(16), (4, 4)), dims = ['azimuth', 'elevation'], coords={ 'azimuth': range(4), 'elevation': range(4), }).stack(direction=('azimuth', 'elevation')) Correctly selects a single item along 'direction'da.sel(direction=(0, 0)) Incorrectly removes all items along 'direction' where azimuth==0...da.drop_sel(direction=(0, 0)) ...but it should remove just one item, like this call:da.drop_isel(direction=0) This fails with 'ValueError: dimension 'azimuth' does not have coordinate labels':da.drop_sel(azimuth=0, elevation=0) ``` Relevant log outputNo response Anything else we need to know?No response EnvironmentINSTALLED VERSIONScommit: None python: 3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 5.10.0-8-amd64 machine: x86_64 processor: byteorder: little LC_ALL: None LANG: en_DK.UTF-8 LOCALE: ('en_DK', 'UTF-8') libhdf5: 1.10.6 libnetcdf: 4.8.1 xarray: 0.20.1 pandas: 1.4.1 numpy: 1.21.2 scipy: 1.7.3 netCDF4: 1.5.7 pydap: None h5netcdf: 999 h5py: 2.10.0 Nio: None zarr: None cftime: 1.5.1.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: None distributed: None matplotlib: 3.5.1 cartopy: None seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None setuptools: 58.0.4 pip: 21.2.4 conda: None pytest: None IPython: 8.1.1 sphinx: None |
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