issue_comments

Table actions

3 rows where issue = 344631360 and user = 950575 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

  • ocefpaf · 3 ✖

issue 1

  • Behavior of filter_by_attrs() does not match netCDF4.Dataset.get_variables_by_attributes · 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
408268331 https://github.com/pydata/xarray/issues/2315#issuecomment-408268331 https://api.github.com/repos/pydata/xarray/issues/2315 MDEyOklzc3VlQ29tbWVudDQwODI2ODMzMQ== ocefpaf 950575 2018-07-26T23:44:49Z 2018-07-26T23:44:49Z CONTRIBUTOR

I can work on a PR tomorrow. Does the benefit of having the same behavior as the netCDF4 library warrant a potentially breaking change for existing code which relies on the current behavior of filter_by_attrs()?

IMO, yes.

This might need adding a new method with the same behavior as netCDF4 and keeping the existing one as is (with appropriate documentation updates).

That is up to xarray devs but I personally don't think it is necessary.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Behavior of filter_by_attrs() does not match netCDF4.Dataset.get_variables_by_attributes 344631360
408262225 https://github.com/pydata/xarray/issues/2315#issuecomment-408262225 https://api.github.com/repos/pydata/xarray/issues/2315 MDEyOklzc3VlQ29tbWVudDQwODI2MjIyNQ== ocefpaf 950575 2018-07-26T23:09:06Z 2018-07-26T23:09:06Z CONTRIBUTOR

Got it. I cannot dig into this at the moment but having both implementations working in a consistent way would be nice. Do you want to send a PR?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Behavior of filter_by_attrs() does not match netCDF4.Dataset.get_variables_by_attributes 344631360
408255439 https://github.com/pydata/xarray/issues/2315#issuecomment-408255439 https://api.github.com/repos/pydata/xarray/issues/2315 MDEyOklzc3VlQ29tbWVudDQwODI1NTQzOQ== ocefpaf 950575 2018-07-26T22:32:29Z 2018-07-26T22:32:29Z CONTRIBUTOR

it appears that this scenario was not directly contemplated.

Correct. I did not foresee that use case. Are you sure that netCDF4.Dataset.get_variables_by_attributes behaves as a logical AND? The code is virtually a copy-n-paste from there.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Behavior of filter_by_attrs() does not match netCDF4.Dataset.get_variables_by_attributes 344631360

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]);