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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
672842007 MDU6SXNzdWU2NzI4NDIwMDc= 4307 Cannot create Dataset from DataFrame containing CategoricalIndex with Intervals 55156127 open 0     2 2020-08-04T14:35:02Z 2022-04-17T18:08:10Z   CONTRIBUTOR      

What happened: Creating a Dataset from a DataFrame with a CategoricalIndex (where the categories are an IntervalIndex) raises the error: TypeError: data type not understood

What you expected to happen: I expected the output to be a Dataset object with the CategoricalIndex as one of the coordinates.

Minimal Complete Verifiable Example:

```python import pandas as pd import xarray as xr

df = pd.DataFrame({"name": list("abcdefghijk"), "age": range(11)}) df["age_group"] = pd.cut(df["age"], bins=5) df = df.set_index(["name", "age_group"])

df.to_xarray() # or xr.Dataset.from_dataframe(df) ```

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.7.5 (default, Oct 25 2019, 10:52:18) [Clang 4.0.1 (tags/RELEASE_401/final)] python-bits: 64 OS: Darwin OS-release: 19.6.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: None LOCALE: None.UTF-8 libhdf5: 1.10.4 libnetcdf: 4.6.1 xarray: 0.15.1 pandas: 1.0.3 numpy: 1.18.1 scipy: 1.4.1 netCDF4: 1.4.2 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.1.3 nc_time_axis: None PseudoNetCDF: None rasterio: 1.1.0 cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.1.3 cartopy: None seaborn: 0.9.0 numbagg: None setuptools: 46.4.0.post20200518 pip: 20.0.2 conda: 4.8.3 pytest: None IPython: 7.13.0 sphinx: None
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