issues: 94966000
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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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94966000 | MDU6SXNzdWU5NDk2NjAwMA== | 471 | Read NetCDF files with multiple values in missing_value attribute | 1050278 | closed | 0 | 5 | 2015-07-14T14:58:56Z | 2015-07-22T21:33:41Z | 2015-07-22T21:33:41Z | CONTRIBUTOR | For certain data, for example NEXRAD Level 2 data, the NetCDF Java library will set the missing_value attribute for multiple variables in the produced NetCDF to a vector containing multiple variables. Currently loading these files in xray raises a ValueError in the Netcdf4-python returns a NumPy masked array with all values in the missing_value vector to np.ma.masked, xray may want to copy this model by replacing these elements with NaN. Another option is to raise an more appropriate error indicating that these files are not supported as vector missing_value attributes do not seem to meet a strict reading of section 2.5.1 of the CF conventions. I can provide an example file if desired. |
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completed | 13221727 | issue |