issue_comments: 609850841
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/3941#issuecomment-609850841 | https://api.github.com/repos/pydata/xarray/issues/3941 | 609850841 | MDEyOklzc3VlQ29tbWVudDYwOTg1MDg0MQ== | 30388627 | 2020-04-06T15:04:23Z | 2020-04-06T15:04:23Z | NONE | @dcherian Excellent solution! If we upgrade this to 3d array and sum by ``` import xarray as xr import numpy as np x = 2 y = 2 z = 3 data = np.arange(xyz).reshape(z, y, x) input arraya = xr.DataArray(data, dims=['z', 'y', 'x']) start_index arraysindex = xr.DataArray(np.full_like(a[0, ...], 0), dims=['y', 'x']) end_index arrayeindex = xr.DataArray(np.full_like(a[0, ...], 1), dims=['y', 'x']) ``` |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
594900245 |