issues: 646038170
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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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| 646038170 | MDU6SXNzdWU2NDYwMzgxNzA= | 4183 | Unable to decode a date in nanoseconds | 397386 | closed | 0 | 6 | 2020-06-26T06:22:27Z | 2022-04-28T10:34:20Z | 2022-04-28T10:34:20Z | CONTRIBUTOR | What happened: If the unit of a date, is a number of nanoseconds elapsed since a reference date, xarray cannot read this dataset and throws the exception What you expected to happen: As this unit is valid in CF model, it must be decoded. Today the units that are recognized go from day to microseconds in the module Minimal Complete Verifiable Example: ```python import numpy as np import array as xr xr.DataArray( np.arange(0, 1e10, 1e9).astype("int64"), attrs=dict(units="nanoseconds since 1970-01-01")).to_netcdf("/tmp/test.nc") xr.open_dataset("/tmp/test.nc") ``` Environment: Output of <tt>xr.show_versions()</tt>INSTALLED VERSIONS ------------------ commit: None python: 3.8.3 | packaged by conda-forge | (default, Jun 1 2020, 17:43:00) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 3.10.0-957.12.2.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.7.4 xarray: 0.15.1 pandas: 1.0.4 numpy: 1.17.5 scipy: 1.4.1 netCDF4: 1.5.3 pydap: None h5netcdf: 0.8.0 h5py: 2.10.0 Nio: None zarr: 2.4.0 cftime: 1.1.3 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.18.1 distributed: 2.18.0 matplotlib: 3.2.1 cartopy: None seaborn: None numbagg: None setuptools: 47.3.1.post20200616 pip: 20.1.1 conda: 4.8.3 pytest: 5.4.3 IPython: 7.15.0 sphinx: None |
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completed | 13221727 | issue |