issues: 919798222
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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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919798222 | MDU6SXNzdWU5MTk3OTgyMjI= | 5466 | `DataArray.sortby()` discards `freq` component of `DatetimeIndex` | 4806678 | open | 0 | 0 | 2021-06-13T13:22:04Z | 2021-06-13T13:22:20Z | CONTRIBUTOR | What happened: Calling What you expected to happen: The Minimal Complete Verifiable Example: ```python import xarray as xr import numpy as np import pandas as pd ar = xr.DataArray(np.random.randn(4, 2), dims=('time', 'component'), coords={'time': pd.date_range('20130101', '20130104'), 'component': ['a', 'b']}) print(ar.get_index('time')) ar_sorted = ar.sortby('time') print(ar_sorted.get_index('time')) ``` Output for the above snippet (note how the Anything else we need to know?: Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.8.10 (default, May 19 2021, 11:01:55) [Clang 10.0.0 ] python-bits: 64 OS: Darwin OS-release: 20.3.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: None LOCALE: (None, 'UTF-8') libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.18.2 pandas: 1.2.3 numpy: 1.19.5 scipy: 1.6.2 netCDF4: 1.5.6 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.5.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: 2021.05.1 distributed: 2021.05.1 matplotlib: 3.4.1 cartopy: None seaborn: None numbagg: None pint: None setuptools: 52.0.0.post20210125 pip: 21.1.1 conda: None pytest: None IPython: 7.22.0 sphinx: None |
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13221727 | issue |