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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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1006413760 | I_kwDOAMm_X847_KfA | 5815 | Inconsistent dropping of `DatetimeIndex.freq` attribute from `DataArray`s index. | hrzn 4806678 | closed | 0 | 7 | 2021-09-24T12:28:27Z | 2023-08-23T13:41:17Z | 2023-08-23T13:41:17Z | CONTRIBUTOR | What happened: Indexing on What you expected to happen: I would expect the Minimal Complete Verifiable Example: ```python import xarray as xr import pandas as pd import numpy as np from pandas.tseries.frequencies import to_offset freq = to_offset('MS') time_index = pd.DatetimeIndex([pd.Timestamp('20130101') + i * freq for i in range(10)]) xa_orig = xr.DataArray(np.random.randn(10), dims=('time'), coords={'time': time_index}) xa_copy = xa_orig.copy() xa_sorted = xa_orig.sortby('time') Set freq on all DataArrays:xa_orig.get_index('time').freq = freq xa_copy.get_index('time').freq = freq xa_sorted.get_index('time').freq = freq Print to confirm the freq is set correctly:print(xa_orig.get_index('time').freq) print(xa_copy.get_index('time').freq) print(xa_sorted.get_index('time').freq) ``` Output (OK - as expected) ```
Now, try some indexing using Output (Not as expected:
Now, try the same using Output (Not as expected:
Anything else we need to know?: Environment: Output of <tt>xr.show_versions()</tt>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: 20.5.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: None LOCALE: (None, 'UTF-8') libhdf5: None libnetcdf: None xarray: 0.19.0 pandas: 1.2.3 numpy: 1.19.5 scipy: 1.6.2 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: 3.4.1 cartopy: None seaborn: None numbagg: None pint: None setuptools: 49.6.0.post20200814 pip: 21.1.3 conda: None pytest: None IPython: 7.22.0 sphinx: 3.2.1 |
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completed | xarray 13221727 | issue | ||||||
1128304139 | I_kwDOAMm_X85DQI4L | 6256 | Indexing a RangeIndexed' DataArray with a RangeIndex returns a deprecated Int64Index | hrzn 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
a = my_da.sel({'time': pd.RangeIndex(0,2)}) a.get_index('time')
Setting the index to the desired What did you expect to happen?I would have expected the resulting 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
Anything else we need to know?No response EnvironmentINSTALLED VERSIONScommit: 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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xarray 13221727 | issue | ||||||||
919798222 | MDU6SXNzdWU5MTk3OTgyMjI= | 5466 | `DataArray.sortby()` discards `freq` component of `DatetimeIndex` | hrzn 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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xarray 13221727 | issue |
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