html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/838#issuecomment-589823579,https://api.github.com/repos/pydata/xarray/issues/838,589823579,MDEyOklzc3VlQ29tbWVudDU4OTgyMzU3OQ==,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}",,152040420
https://github.com/pydata/xarray/issues/3154#issuecomment-513511508,https://api.github.com/repos/pydata/xarray/issues/3154,513511508,MDEyOklzc3VlQ29tbWVudDUxMzUxMTUwOA==,210858,2019-07-21T01:31:18Z,2019-07-21T01:31:18Z,NONE,"I am not an expert, but will chime in.  Verify that you have `conda-forge` before the `defaults` channel and that you have `strict` channel priority enabled.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,470714103
https://github.com/pydata/xarray/issues/838#issuecomment-216093339,https://api.github.com/repos/pydata/xarray/issues/838,216093339,MDEyOklzc3VlQ29tbWVudDIxNjA5MzMzOQ==,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}",,152040420
https://github.com/pydata/xarray/issues/838#issuecomment-216090677,https://api.github.com/repos/pydata/xarray/issues/838,216090677,MDEyOklzc3VlQ29tbWVudDIxNjA5MDY3Nw==,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}",,152040420