issue_comments

Table actions

4 rows where issue = 1104213904 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

author_association 2

issue 1

  • Xarray.to_netcdf encoding option not working for complevel and shuffle · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1018098763 https://github.com/pydata/xarray/issues/6167#issuecomment-1018098763 https://api.github.com/repos/pydata/xarray/issues/6167 IC_kwDOAMm_X848rvRL chiaweh2 11950284 2022-01-21T02:12:03Z 2022-01-21T02:12:03Z NONE

@jhamman Thank you for the link! I think listing all options for encoding without explanation would already be very useful. A reference to this page or the netcdf4 page provided by @kmuehlbauer in the docstring would be very nice. I will certainly see if I can submit a PR for the document improvement if this is something the Xarray team also consider to add. Thank you again for the links and helps above from the team! 

{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Xarray.to_netcdf encoding option not working for complevel and shuffle 1104213904
1017171539 https://github.com/pydata/xarray/issues/6167#issuecomment-1017171539 https://api.github.com/repos/pydata/xarray/issues/6167 IC_kwDOAMm_X848oM5T jhamman 2443309 2022-01-20T06:53:37Z 2022-01-20T06:53:37Z MEMBER

@chiaweh2 - a PR to improve the documentation would certainly be welcome. Do you think it makes sense to add this to the docstring or to the user guide page on IO (https://xarray.pydata.org/en/stable/user-guide/io.html#chunk-based-compression)?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Xarray.to_netcdf encoding option not working for complevel and shuffle 1104213904
1013688441 https://github.com/pydata/xarray/issues/6167#issuecomment-1013688441 https://api.github.com/repos/pydata/xarray/issues/6167 IC_kwDOAMm_X848a6h5 chiaweh2 11950284 2022-01-15T14:08:04Z 2022-01-15T14:09:10Z NONE

@kmuehlbauer @mathause Sorry for reporting this as bug and thank you so much for the explanation and help changing the tag! After changing the zlib=True, it works perfectly now.

Is there a possibility of including the link or adding a brief explanation of all encoding options in https://xarray.pydata.org/en/stable/generated/xarray.Dataset.to_netcdf.html ? I think this would be most helpful! However, I understand if the team consider this as a backend related setting and would not want to put too much info on the Xarray docstring.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Xarray.to_netcdf encoding option not working for complevel and shuffle 1104213904
1013613766 https://github.com/pydata/xarray/issues/6167#issuecomment-1013613766 https://api.github.com/repos/pydata/xarray/issues/6167 IC_kwDOAMm_X848aoTG kmuehlbauer 5821660 2022-01-15T05:08:09Z 2022-01-15T05:08:09Z MEMBER

@chiaweh2 This only works if you set zlib=True. The two keywords are ignored if zlib=False. Please refer to the netcdf4-python docs https://unidata.github.io/netcdf4-python/#Dataset.createVariable. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Xarray.to_netcdf encoding option not working for complevel and shuffle 1104213904

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]);