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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
620134014 MDU6SXNzdWU2MjAxMzQwMTQ= 4073 Error in DataArray.from_dict(data_array.to_dict()) when using pd.MultiIndex genric 13747844 open 0     4 2020-05-18T11:32:19Z 2022-06-22T16:12:34Z   NONE      

Error recovering DataArray with from_dict from what was persisted by to_dict when using pandas.MultiIndex.

MCVE Code Sample

python import pandas as pd import xarray as xr idx = pd.MultiIndex.from_arrays([[1, 2], [3, 4]], names=('one', 'two')) array = xr.DataArray([0, 1], dims='idx', coords={'idx': idx}) assert array.sel(one=1, two=3) == 0 assert array.sel(one=2, two=4) == 1 array_dict = array.to_dict() xr.DataArray.from_dict(array_dict)

Expected Output

No error.

Problem Description

ValueError: Could not convert tuple of form (dims, data[, attrs, encoding]): (('idx',), [(1, 3), (2, 4)], {}) to Variable.

Versions

python: 3.7.6 xarray: 0.15.1 pandas: 1.0.3 numpy: 1.18.4 scipy: 1.4.1 

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     xarray 13221727 issue
966669714 MDU6SXNzdWU5NjY2Njk3MTQ= 5691 MultiIndex coordinates loc/sel not working in 0.19.0 genric 13747844 closed 0     2 2021-08-11T13:00:19Z 2022-03-17T17:11:42Z 2022-03-17T17:11:42Z NONE      

What happened: TypeError: unhashable type: 'numpy.ndarray'

What you expected to happen: No error

Minimal Complete Verifiable Example: Take this for example: python import numpy as np import pandas as pd import xarray as xr midx = pd.MultiIndex.from_arrays([["R", "R", "V", "V"], [0.1, 0.2, 0.7, 0.9]], names=("band", "wn")) mda = xr.DataArray(np.random.rand(4), coords={"spec": midx}, dims="spec") mda.loc[{'band': 'R', 'wn': 0.1}]

Environment:

xarray: 0.19.0, pandas: 1.3.1, numpy: 1.21.1, 
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   completed xarray 13221727 issue

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