issue_comments

Table actions

3 rows where issue = 218277814 and user = 4295853 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • pwolfram · 3 ✖

issue 1

  • where(..., drop=True) failure for empty mask on python 2.7 · 3 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
290507367 https://github.com/pydata/xarray/issues/1341#issuecomment-290507367 https://api.github.com/repos/pydata/xarray/issues/1341 MDEyOklzc3VlQ29tbWVudDI5MDUwNzM2Nw== pwolfram 4295853 2017-03-30T18:46:05Z 2017-03-30T18:46:05Z CONTRIBUTOR

Thanks @shoyer, the test stub is at https://github.com/pydata/xarray/pull/1342 and hopefully CI will give some more useful information.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   where(..., drop=True) failure for empty mask on python 2.7 218277814
290492243 https://github.com/pydata/xarray/issues/1341#issuecomment-290492243 https://api.github.com/repos/pydata/xarray/issues/1341 MDEyOklzc3VlQ29tbWVudDI5MDQ5MjI0Mw== pwolfram 4295853 2017-03-30T17:59:17Z 2017-03-30T17:59:17Z CONTRIBUTOR

@shoyer, is there any easy way to initialize python <xarray.DataArray (nCells: 0, nVertLevels: 10)> array([], shape=(0, 10), dtype=float64) Dimensions without coordinates: nCells, nVertLevels so that I can write a clean test for this error?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   where(..., drop=True) failure for empty mask on python 2.7 218277814
290491964 https://github.com/pydata/xarray/issues/1341#issuecomment-290491964 https://api.github.com/repos/pydata/xarray/issues/1341 MDEyOklzc3VlQ29tbWVudDI5MDQ5MTk2NA== pwolfram 4295853 2017-03-30T17:58:31Z 2017-03-30T17:58:31Z CONTRIBUTOR

The script (e.g., on 3.5) should return something like ```python In [1]: import xarray as xr

In [2]: import numpy as np

In [3]: da = xr.DataArray(np.random.rand(100,10), dims=['nCells','nVertLevels'])

In [4]: mask = xr.DataArray(np.zeros((100,), dtype='bool'), dims='nCells')

In [5]: da.where(mask, drop=True)

Out[6]: <xarray.DataArray (nCells: 0, nVertLevels: 10)> array([], shape=(0, 10), dtype=float64) Dimensions without coordinates: nCells, nVertLevels ```

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   where(..., drop=True) failure for empty mask on python 2.7 218277814

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);