issue_comments: 126810402
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/504#issuecomment-126810402 | https://api.github.com/repos/pydata/xarray/issues/504 | 126810402 | MDEyOklzc3VlQ29tbWVudDEyNjgxMDQwMg== | 5356122 | 2015-07-31T20:56:31Z | 2015-07-31T20:56:31Z | MEMBER | Right. Consider following pandas rather than numpy here: ``` In [9]: a = pd.DataFrame(np.random.randn(3, 4)) In [10]: a Out[10]: 0 1 2 3 0 -1.188669 0.055286 -0.476962 0.144261 1 1.779646 2.332629 0.326515 -0.179862 2 -0.016739 1.221892 -0.032720 -0.779563 In [11]: a[a < 0] Out[11]: 0 1 2 3 0 -1.188669 NaN -0.476962 NaN 1 NaN NaN NaN -0.179862 2 -0.016739 NaN -0.032720 -0.779563 ``` |
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