issue_comments: 284225363
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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/pull/1260#issuecomment-284225363 | https://api.github.com/repos/pydata/xarray/issues/1260 | 284225363 | MDEyOklzc3VlQ29tbWVudDI4NDIyNTM2Mw== | 10050469 | 2017-03-05T12:42:45Z | 2017-03-05T12:42:45Z | MEMBER | @shoyer thanks for the tips, I think that getting the lons and lats from dask is probably the most elegant method. After trying various things I am still struggling with dask, and in particular on how to apply ```python import xarray as xr import numpy as np ds = xr.DataArray(np.zeros((2, 3)), coords={'x': np.arange(3), 'y': np.arange(2)}, dims=['y', 'x']).to_dataset(name='data') non-dask versionlon, lat = np.meshgrid(ds.x, ds.y) ds['lon'] = (('y', 'x'), lon) ds['lat'] = (('y', 'x'), lat) ds.set_coords(['lon', 'lat'], inplace=True) print(ds) ``` Thanks a lot! |
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