issue_comments

Table actions

2 rows where issue = 192325490 and user = 1217238 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

  • shoyer · 2 ✖

issue 1

  • timedelta64[D] is always coerced to timedelta64[ns] · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
417381010 https://github.com/pydata/xarray/issues/1143#issuecomment-417381010 https://api.github.com/repos/pydata/xarray/issues/1143 MDEyOklzc3VlQ29tbWVudDQxNzM4MTAxMA== shoyer 1217238 2018-08-30T16:26:20Z 2018-08-30T16:26:20Z MEMBER

df_trans['DELTA'].dt.days should work, in both pandas in xarray.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   timedelta64[D] is always coerced to timedelta64[ns] 192325490
263642220 https://github.com/pydata/xarray/issues/1143#issuecomment-263642220 https://api.github.com/repos/pydata/xarray/issues/1143 MDEyOklzc3VlQ29tbWVudDI2MzY0MjIyMA== shoyer 1217238 2016-11-29T17:40:49Z 2016-11-29T17:40:49Z MEMBER

Interesting. Pandas always uses nanosecond precision for TimedeltaIndex but not Series: ``` In [13]: s = pandas.Series([1,2,3,4]).astype('timedelta64[D]')

In [14]: s Out[14]: 0 1 days 1 2 days 2 3 days 3 4 days dtype: timedelta64[D]

In [16]: pandas.Index(s) Out[16]: TimedeltaIndex(['1 days', '2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq=None) ```

This might actually be a pandas bug -- as far as I recall, this goes against the documented behavior.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   timedelta64[D] is always coerced to timedelta64[ns] 192325490

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]);