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id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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516776060 | https://github.com/pydata/xarray/issues/3034#issuecomment-516776060 | https://api.github.com/repos/pydata/xarray/issues/3034 | MDEyOklzc3VlQ29tbWVudDUxNjc3NjA2MA== | jfpiolle 11731042 | 2019-07-31T09:38:02Z | 2019-07-31T09:38:02Z | NONE | @HasanAhmadQ7 You can have attributes of type list. See for instance this code: ``` from netCDF4 import Dataset import numpy f = Dataset("example.nc","w") x = f.createDimension("x",3) vlvar = f.createVariable("test_var", numpy.int32, ("x")) here create an attribute as a listvlvar.test_attr = ["string a", "string b"] vlvar[:] = numpy.arange(3) f.close() ``` Having files with different values for the thanks for addressing this! |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
open_mfdataset fails on variable attributes with 'list' type 457874038 |
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