home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

2 rows where author_association = "NONE" and issue = 201428093 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

  • TWellman 2

issue 1

  • to_netcdf() fails to append to an existing file · 2 ✖

author_association 1

  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
336214851 https://github.com/pydata/xarray/issues/1215#issuecomment-336214851 https://api.github.com/repos/pydata/xarray/issues/1215 MDEyOklzc3VlQ29tbWVudDMzNjIxNDg1MQ== TWellman 18449985 2017-10-12T17:50:33Z 2017-10-12T17:50:33Z NONE

Thank you! I will give xarray.open_mfdataset a shot. Just one question - is this approach memory conservative? My reasoning for chunking in the first place is large file size.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  to_netcdf() fails to append to an existing file 201428093
336211794 https://github.com/pydata/xarray/issues/1215#issuecomment-336211794 https://api.github.com/repos/pydata/xarray/issues/1215 MDEyOklzc3VlQ29tbWVudDMzNjIxMTc5NA== TWellman 18449985 2017-10-12T17:39:23Z 2017-10-12T17:39:23Z NONE

Is it now possible to append to a netCDF file using xarray? I have some tabular data that is read into a dataframe in chunks from a large file. The goal is write in chunks to netCDF. If so, could someone please provide a simple code example. I am receiving an RuntimeError 'NetCDF: String match to name in use' as well. Thank you.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  to_netcdf() fails to append to an existing file 201428093

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 15.102ms · About: xarray-datasette