issue_comments: 375010010
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/2004#issuecomment-375010010 | https://api.github.com/repos/pydata/xarray/issues/2004 | 375010010 | MDEyOklzc3VlQ29tbWVudDM3NTAxMDAxMA== | 1217238 | 2018-03-21T16:38:59Z | 2018-03-21T16:38:59Z | MEMBER | Here's a simpler case that gets at the essence of the problem: ```python import xarray as xr import numpy as np source = xr.DataArray(np.zeros((100, 12000)), dims=['time', 'x']) source.to_netcdf('test.nc', format='NETCDF4') reopened = xr.open_dataarray('test.nc') %time reopened[::1, ::1].compute() CPU times: user 1.35 ms, sys: 6.77 ms, total: 8.12 ms%time reopened[::1, ::10].compute() CPU times: user 371 ms, sys: 1.33 s, total: 1.7 s``` |
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