issue_comments: 448633729
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/pull/2618#issuecomment-448633729 | https://api.github.com/repos/pydata/xarray/issues/2618 | 448633729 | MDEyOklzc3VlQ29tbWVudDQ0ODYzMzcyOQ== | 4806877 | 2018-12-19T15:24:28Z | 2018-12-19T15:24:28Z | CONTRIBUTOR | Hmm. Do we really want a np.masked_array or do we just want an array with np.Nans in it? I prefer nans, but I guess the downside is type conversion for ints? |
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