home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

3 rows where issue = 129525746 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

  • 0.7 missing Python 3.3 conda package · 3 ✖

author_association 1

  • CONTRIBUTOR 3
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
176378833 https://github.com/pydata/xarray/issues/732#issuecomment-176378833 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjM3ODgzMw== ocefpaf 950575 2016-01-28T20:04:55Z 2016-01-28T20:04:55Z CONTRIBUTOR

I don't think it's too much to ask for one more py33 build after the rename.

Yes and no. If you want the full optional dependencies, xarray can be a little bit hard to build (with pynio support, etc). If you want just the basics then it is relatively easy.

You should make the conda package request in https://github.com/ContinuumIO/anaconda-issues/issues/635, and other continuum communication channels (mailing list, gitter, etc).

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  0.7 missing Python 3.3 conda package 129525746
176365429 https://github.com/pydata/xarray/issues/732#issuecomment-176365429 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjM2NTQyOQ== ocefpaf 950575 2016-01-28T19:40:07Z 2016-01-28T19:40:07Z CONTRIBUTOR

The use of "official release" can be confusing in this case. I believe that the latest xarray works OK in Python 3.3. But note that the project is not tested on Python 3.3 since PR https://github.com/pydata/xarray/pull/583. I believe that the official PyPI source dist will install OK in Python 3.3 BTW.

On the other hand, Continuum does seem to be abandoning Python 3.3, there are hardly new conda packages being built for it.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  0.7 missing Python 3.3 conda package 129525746
176308535 https://github.com/pydata/xarray/issues/732#issuecomment-176308535 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjMwODUzNQ== ocefpaf 950575 2016-01-28T18:04:22Z 2016-01-28T18:04:22Z CONTRIBUTOR

@richardotis any special reason for wanting a Python 3.3 version? The migration to >=3.4 is highly recommended. (And I don't think continuum and the community building stuff for Python 3.3 lately.)

If you cannot upgrade you can use this recipe to build you own Python 3.3 xarray.

If you clone the whole repo you can then type:

shell export CONDA_PY=33 export CONDA_NPY=110 # (or any other numpy version series you need 18, 19...) conda build xarray

If you issue the last command from the repo root directory conda will build dependencies for you.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  0.7 missing Python 3.3 conda package 129525746

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]);
Powered by Datasette · Queries took 245.283ms · About: xarray-datasette