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  • mancellin · 4 ✖

issue 1

  • Multi-index with categorical values · 4 ✖

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  • CONTRIBUTOR · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
598718876 https://github.com/pydata/xarray/issues/3674#issuecomment-598718876 https://api.github.com/repos/pydata/xarray/issues/3674 MDEyOklzc3VlQ29tbWVudDU5ODcxODg3Ng== mancellin 31126826 2020-03-13T13:26:38Z 2020-03-13T13:26:38Z CONTRIBUTOR

Yes, I'll give it a try.

 
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   Multi-index with categorical values 547091670
597536240 https://github.com/pydata/xarray/issues/3674#issuecomment-597536240 https://api.github.com/repos/pydata/xarray/issues/3674 MDEyOklzc3VlQ29tbWVudDU5NzUzNjI0MA== mancellin 31126826 2020-03-11T09:44:48Z 2020-03-11T09:44:48Z CONTRIBUTOR

@fujiisoup Since you implemented remove_unused_levels_categories, do you have any clue how to fix this?

 
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   Multi-index with categorical values 547091670
583065626 https://github.com/pydata/xarray/issues/3674#issuecomment-583065626 https://api.github.com/repos/pydata/xarray/issues/3674 MDEyOklzc3VlQ29tbWVudDU4MzA2NTYyNg== mancellin 31126826 2020-02-06T19:17:49Z 2020-02-06T19:17:49Z CONTRIBUTOR

Actually, after updating to version 0.15 I've found another issue in the same context. More precisely, when using a multi-index with a non-categorical repeated coordinate and a categorical coordinate:

```python import pandas as pd

i1 = pd.Series([0, 0]) cat = pd.CategoricalDtype(categories=['foo', 'bar', 'baz']) i2 = pd.Series(['foo', 'bar'], dtype=cat)

df = pd.DataFrame({'i1': i1, 'i2': i2, 'values': [1, 2]}) ds = df.set_index(['i1', 'i2']).to_xarray()

print(ds) raises the following error Traceback (most recent call last): File "/home/matthieu/test.py", line 8, in <module> ds = df.set_index(['i1', 'i2']).to_xarray() File "/opt/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py", line 2867, in to_xarray return xarray.Dataset.from_dataframe(self) File "/opt/anaconda3/lib/python3.7/site-packages/xarray/core/dataset.py", line 4555, in from_dataframe idx = remove_unused_levels_categories(dataframe.index) File "/opt/anaconda3/lib/python3.7/site-packages/xarray/core/indexes.py", line 26, in remove_unused_levels_ categories index = pd.MultiIndex.from_arrays(levels, names=index.names) File "/opt/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/multi.py", line 425, in from_arrays raise ValueError("all arrays must be same length") ValueError: all arrays must be same length `` but works fine wheni2` is not categorical.

 
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   Multi-index with categorical values 547091670
579379370 https://github.com/pydata/xarray/issues/3674#issuecomment-579379370 https://api.github.com/repos/pydata/xarray/issues/3674 MDEyOklzc3VlQ29tbWVudDU3OTM3OTM3MA== mancellin 31126826 2020-01-28T18:04:32Z 2020-01-28T18:04:32Z CONTRIBUTOR

Thank you for your work on this! I haven't found any other issue at the moment, I guess we can close this issue.

 
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   Multi-index with categorical values 547091670

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