issue_comments

Table actions

where issue = 314670220 and user = 1217238 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

These facets timed out: author_association, issue

user 1

  • shoyer · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
384741776 https://github.com/pydata/xarray/issues/2063#issuecomment-384741776 https://api.github.com/repos/pydata/xarray/issues/2063 MDEyOklzc3VlQ29tbWVudDM4NDc0MTc3Ng== shoyer 1217238 2018-04-26T18:23:11Z 2018-04-26T18:23:11Z MEMBER

OK, so it looks like a dask.array issue. (I got runtime warnings, too, but I think those can be safely ignored.)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   test_reduce[None-True-var-True-float32-2] fails on i386 314670220
384707323 https://github.com/pydata/xarray/issues/2063#issuecomment-384707323 https://api.github.com/repos/pydata/xarray/issues/2063 MDEyOklzc3VlQ29tbWVudDM4NDcwNzMyMw== shoyer 1217238 2018-04-26T16:35:24Z 2018-04-26T18:21:40Z MEMBER

I think the following script should reproduce the issue and identify which library is the source of the issue: ``` import dask.array as da import numpy as np import pandas as pd import bottleneck

rng = np.random.RandomState(0) x = np.concatenate([rng.randn(16, 8).astype(np.float32), np.nan * np.zeros((4, 8)).astype(np.float32)])

print('numpy', np.nanvar(x)) print('dask', da.nanvar(da.from_array(x, 4)).compute()) print('pandas', pd.Series(x.ravel()).var(ddof=0)) print('bottleneck', bottleneck.nanvar(x)) ```

On my laptop, this prints: numpy 1.0792575 dask 1.0792574 pandas 1.0792568922042847 bottleneck 1.0792568922042847

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   test_reduce[None-True-var-True-float32-2] fails on i386 314670220
381651113 https://github.com/pydata/xarray/issues/2063#issuecomment-381651113 https://api.github.com/repos/pydata/xarray/issues/2063 MDEyOklzc3VlQ29tbWVudDM4MTY1MTExMw== shoyer 1217238 2018-04-16T15:44:05Z 2018-04-16T15:44:05Z MEMBER

Thanks for the report. This is likely an upstream bug but I can help direct this to the appropriate place.

Can you please share the output of xarray.show_versions()? At least, which versions (if any) of bottleneck, numpy and pandas do you have installed?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   test_reduce[None-True-var-True-float32-2] fails on i386 314670220

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]);