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  • akrherz · 4 ✖

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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 ```

 
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   MADIS netCDF to Pandas Dataframe: ValueError: iterator is too large 152040420
513511508 https://github.com/pydata/xarray/issues/3154#issuecomment-513511508 https://api.github.com/repos/pydata/xarray/issues/3154 MDEyOklzc3VlQ29tbWVudDUxMzUxMTUwOA== akrherz 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.

 
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   pynio causes dependency conflicts in py36 CI build 470714103
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 :)

 
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   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)

 
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   MADIS netCDF to Pandas Dataframe: ValueError: iterator is too large 152040420

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