issues: 679445732
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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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679445732 | MDU6SXNzdWU2Nzk0NDU3MzI= | 4341 | Computing averaged time produces wrong/incorrect time values | 13301940 | closed | 0 | 3 | 2020-08-14T23:15:01Z | 2020-08-15T20:05:23Z | 2020-08-15T20:05:23Z | MEMBER | What happened: While computing averaged time using time_bounds via What you expected to happen: Correct averaged time values Minimal Complete Verifiable Example: ```python In [1]: import xarray as xr In [2]: import numpy as np In [3]: dates = xr.cftime_range(start='0400-01', end='2101-01', freq='120Y', calendar='noleap') In [4]: bounds = xr.DataArray(np.vstack([dates[:-1], dates[1:]]).T, dims=['time', 'd2']) In [5]: bounds In [6]: bounds.mean('d2') ``` Anything else we need to know?: Environment: Output of <tt>xr.show_versions()</tt>```python INSTALLED VERSIONS ------------------ commit: None python: 3.7.8 | packaged by conda-forge | (default, Jul 23 2020, 03:54:19) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 3.10.0-1127.13.1.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.16.0 pandas: 1.1.0 numpy: 1.19.1 scipy: 1.5.2 netCDF4: 1.5.4 pydap: None h5netcdf: None h5py: 2.10.0 Nio: None zarr: 2.4.0 cftime: 1.2.1 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.22.0 distributed: 2.22.0 matplotlib: 3.3.0 cartopy: 0.18.0 seaborn: 0.10.1 numbagg: None pint: None setuptools: 49.2.1.post20200802 pip: 20.2.1 conda: None pytest: None IPython: 7.17.0 sphinx: None ``` |
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completed | 13221727 | issue |