issue_comments: 655142333
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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/3813#issuecomment-655142333 | https://api.github.com/repos/pydata/xarray/issues/3813 | 655142333 | MDEyOklzc3VlQ29tbWVudDY1NTE0MjMzMw== | 8881170 | 2020-07-07T21:22:30Z | 2020-07-07T21:22:30Z | CONTRIBUTOR | FYI, this is also seen on Example:
A = xr.DataArray(np.random.rand(10, 5), dims=['time', 'space']) B = xr.DataArray(np.random.rand(10, 5), dims=['time', 'space']) A[0, 1] = np.nan B[5, 0] = np.nan xr.apply_ufunc(match_nans, A, B, input_core_dims=[['time'], ['time']], output_core_dims=[['time'], ['time']], # Try with and without vectorize. vectorize=True,) ``` |
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