issue_comments: 229762102
This data as json
| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/891#issuecomment-229762102 | https://api.github.com/repos/pydata/xarray/issues/891 | 229762102 | MDEyOklzc3VlQ29tbWVudDIyOTc2MjEwMg== | 17951292 | 2016-06-30T19:22:43Z | 2016-06-30T19:22:43Z | NONE | Thanks, Stephan! Enjoy your vacation! For now I am processing multiple files over an opendap connection using netCDF4.MFDataset and then building a DataArray or Dataset from the variables stored within the resulting MFDataset object. This appears much faster than the process recommend here when a lot of big files are involved: http://xarray.pydata.org/en/stable/io.html (i.e., using read_netcdfs). Once a bug fix is implemented, I'll try using the dask-optimized open_mfdataset(). |
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