issue_comments: 1272544819
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/7146#issuecomment-1272544819 | https://api.github.com/repos/pydata/xarray/issues/7146 | 1272544819 | IC_kwDOAMm_X85L2X4z | 11075246 | 2022-10-09T13:37:57Z | 2022-10-09T14:25:51Z | NONE | It seems that we need the time variable to reproduce the problem. The following code does not fail: ``` import numpy as np import xarray as xr import pandas as pd N_TIMES=64 ds = xr.Dataset({'d1': (["T", "x", "y"], np.zeros((N_TIMES, 201,201)))}) ds.to_netcdf(path="/my_s3_fs/test_netcdf.nc", format="NETCDF4", mode="w") ``` |
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