issues: 1128304139

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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
1128304139 I_kwDOAMm_X85DQI4L 6256 Indexing a RangeIndexed' DataArray with a RangeIndex returns a deprecated Int64Index 4806678 open 0     2 2022-02-09T09:55:06Z 2022-02-21T21:28:57Z   CONTRIBUTOR      

What happened?

First, apology if this is not actually a bug - I'm not too sure of what the intended behaviour should be. But I find this counter-intuitive.

When indexing a DataArray that is indexed using a RangeIndex, the resulting index is an Int64Index: ```python my_da.get_index('time')

RangeIndex(start=0, stop=100, step=1, name='time')

a = my_da.sel({'time': pd.RangeIndex(0,2)}) a.get_index('time')

Int64Index([0, 1], dtype='int64', name='time') ```

Setting the index to the desired RangeIndex using assign_coords() then works. But I find it a bit problematic that sel() returns an Int64Index even when used with a RangeIndex. Also because Int64Index has been recently deprecated in Pandas 1.4.

What did you expect to happen?

I would have expected the resulting DataArray to be indexed with the same RangeIndex used in sel().

Minimal Complete Verifiable Example

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

my_da = xr.DataArray(np.random.rand(100,), dims=('time'), coords={'time': pd.RangeIndex(0, 100)})

print(my_da.get_index('time')) a = my_da.sel({'time': pd.RangeIndex(0,2)}) print(a.get_index('time')) ```

Relevant log output

python RangeIndex(start=0, stop=100, step=1, name='time') Int64Index([0, 1], dtype='int64', name='time')

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS

commit: None python: 3.8.5 (default, Sep 4 2020, 02:22:02) [Clang 10.0.0 ] python-bits: 64 OS: Darwin OS-release: 20.6.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: None LOCALE: (None, 'UTF-8') libhdf5: None libnetcdf: None

xarray: 0.20.2 pandas: 1.4.0 numpy: 1.22.1 scipy: 1.7.3 netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.5.1 cartopy: None seaborn: None numbagg: None fsspec: 2021.11.1 cupy: None pint: None sparse: None setuptools: 59.5.0 pip: 21.3.1 conda: None pytest: 6.2.5 IPython: 8.0.1 sphinx: 4.3.2

 
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