issue_comments

Table actions

3 rows where author_association = "NONE", issue = 152040420 and user = 210858 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

  • akrherz · 3 ✖

issue 1

  • MADIS netCDF to Pandas Dataframe: ValueError: iterator is too large · 3 ✖

author_association 1

  • NONE · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
589823579 https://github.com/pydata/xarray/issues/838#issuecomment-589823579 https://api.github.com/repos/pydata/xarray/issues/838 MDEyOklzc3VlQ29tbWVudDU4OTgyMzU3OQ== akrherz 210858 2020-02-21T20:32:01Z 2020-02-21T20:32:01Z NONE

Just to denote that the issue still happens today with numpy=1.18.1, xarray=0.15.0, pandas=1.0.1 ```

df = nc.to_dataframe() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/opt/miniconda3/envs/prod/lib/python3.8/site-packages/xarray/core/dataset.py", line 4465, in to_dataframe return self._to_dataframe(self.dims) File "/opt/miniconda3/envs/prod/lib/python3.8/site-packages/xarray/core/dataset.py", line 4451, in _to_dataframe data = [ File "/opt/miniconda3/envs/prod/lib/python3.8/site-packages/xarray/core/dataset.py", line 4452, in <listcomp> self._variables[k].set_dims(ordered_dims).values.reshape(-1) File "/opt/miniconda3/envs/prod/lib/python3.8/site-packages/xarray/core/variable.py", line 1345, in set_dims expanded_data = duck_array_ops.broadcast_to(self.data, tmp_shape) File "/opt/miniconda3/envs/prod/lib/python3.8/site-packages/xarray/core/duck_array_ops.py", line 47, in f return wrapped(args, *kwargs) File "<array_function internals>", line 5, in broadcast_to File "/opt/miniconda3/envs/prod/lib/python3.8/site-packages/numpy/lib/stride_tricks.py", line 182, in broadcast_to return _broadcast_to(array, shape, subok=subok, readonly=True) File "/opt/miniconda3/envs/prod/lib/python3.8/site-packages/numpy/lib/stride_tricks.py", line 125, in _broadcast_to it = np.nditer( ValueError: iterator is too large ```

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   MADIS netCDF to Pandas Dataframe: ValueError: iterator is too large 152040420
216093339 https://github.com/pydata/xarray/issues/838#issuecomment-216093339 https://api.github.com/repos/pydata/xarray/issues/838 MDEyOklzc3VlQ29tbWVudDIxNjA5MzMzOQ== akrherz 210858 2016-05-02T02:15:22Z 2016-05-02T02:15:22Z NONE

@mogismog Awesome, thanks so much for the workaround :)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   MADIS netCDF to Pandas Dataframe: ValueError: iterator is too large 152040420
216090677 https://github.com/pydata/xarray/issues/838#issuecomment-216090677 https://api.github.com/repos/pydata/xarray/issues/838 MDEyOklzc3VlQ29tbWVudDIxNjA5MDY3Nw== akrherz 210858 2016-05-02T01:37:59Z 2016-05-02T01:37:59Z NONE

I thought of something, is the issue here with the unlimited record dimension?

netcdf \20160430_1600 { dimensions: .... recNum = UNLIMITED ; // (2845 currently)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   MADIS netCDF to Pandas Dataframe: ValueError: iterator is too large 152040420

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]);