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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
2145890271 PR_kwDOAMm_X85negFY 8774 Fixing issue #8770: Improved frequency parameter logic to set it to 'D' only if periods, start, or end are None. rjavierch 46948104 closed 0     11 2024-02-21T05:48:46Z 2024-02-24T12:43:22Z 2024-02-24T12:43:19Z CONTRIBUTOR   0 pydata/xarray/pulls/8774

This Pull Request addresses the issue reported regarding the default setting of the frequency (freq) parameter in Xarray. Currently, the frequency is explicitly set to "D" by default, which may not always be appropriate behavior. The proposed improvement adjusts the logic to set the frequency to "D" only if any of the parameters (periods, start, or end) are None, providing more flexibility and aligning with expected behavior.

Changes:

Updated logic for setting the frequency parameter to consider periods, start, or end values. Added checks to ensure that the frequency is set to "D" only when necessary.

Please review and provide feedback on the proposed changes. Any suggestions for further improvements are welcome.

  • [x] Closes #8770
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    xarray 13221727 pull
2142410162 I_kwDOAMm_X85_spWy 8770 Error in xr.date_range with exactly three parameters provided. rjavierch 46948104 closed 0     2 2024-02-19T13:45:00Z 2024-02-24T12:43:20Z 2024-02-24T12:43:20Z CONTRIBUTOR      

What happened?

I was trying to create a list of a fixed number of N dates from start to end using the "periods" argument of xr.date_range.

What did you expect to happen?

To obtain a DatetimeIndex object with N period's dates between the starting date and the ending date.

Minimal Complete Verifiable Example

```Python import xarray as xr from datetime import datetime

Attempt to create a date range with exactly three parameters

xr.date_range(start=datetime(1961, 1, 1), end=datetime(1991, 1, 1), periods=3) ```

MVCE confirmation

  • [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [x] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [x] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.
  • [x] Recent environment — the issue occurs with the latest version of xarray and its dependencies.

Relevant log output

Python Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/roberto/miniconda3/envs/gs1/lib/python3.11/site-packages/xarray/coding/cftime_offsets.py", line 1225, in date_range return pd.date_range( ^^^^^^^^^^^^^^ File "/home/roberto/miniconda3/envs/gs1/lib/python3.11/site-packages/pandas/core/indexes/datetimes.py", line 1009, in date_range dtarr = DatetimeArray._generate_range( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/roberto/miniconda3/envs/gs1/lib/python3.11/site-packages/pandas/core/arrays/datetimes.py", line 400, in _generate_range raise ValueError( ValueError: Of the four parameters: start, end, periods, and freq, exactly three must be specified

Anything else we need to know?

When running:

``` import pandas as pd from datetime import datetime

pd.date_range(start=datetime(1961, 1, 1), end=datetime(1991, 1, 1), periods=2) ```

Outputs: DatetimeIndex(['1961-01-01', '1991-01-01'], dtype='datetime64[ns]', freq=None)

Environment

/home/roberto/miniconda3/envs/gs1/lib/python3.11/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.") INSTALLED VERSIONS ------------------ commit: None python: 3.11.6 | packaged by conda-forge | (main, Oct 3 2023, 10:40:35) [GCC 12.3.0] python-bits: 64 OS: Linux OS-release: 6.5.0-14-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.2 libnetcdf: 4.9.1 xarray: 2023.12.0 pandas: 2.1.4 numpy: 1.26.4 scipy: 1.12.0 netCDF4: 1.6.3 pydap: None h5netcdf: 1.3.0 h5py: 3.8.0 Nio: 1.5.5 zarr: None cftime: 1.6.3 nc_time_axis: None iris: None bottleneck: 1.3.5 dask: 2023.12.1 distributed: 2023.12.1 matplotlib: 3.8.2 cartopy: 0.22.0 seaborn: 0.13.0 numbagg: None fsspec: 2023.12.2 cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 68.2.2 pip: 23.3.2 conda: None pytest: None mypy: None IPython: 8.20.0 sphinx: None
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  completed xarray 13221727 issue

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