issues: 152040420

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
152040420 MDU6SXNzdWUxNTIwNDA0MjA= 838 MADIS netCDF to Pandas Dataframe: ValueError: iterator is too large 210858 open 0     8 2016-04-30T16:48:53Z 2020-02-21T20:32:04Z   NONE      

Getting started with xarray 0.7 (python2.7 RHEL7.2 64bit) and I am having trouble converting a MADIS produced netCDF file to a pandas Dataframe. Here's the traceback

text Traceback (most recent call last): File "test.py", line 3, in <module> df = nc.to_dataframe() File "/usr/lib/python2.7/site-packages/xarray/core/dataset.py", line 1867, in to_dataframe return self._to_dataframe(self.dims) File "/usr/lib/python2.7/site-packages/xarray/core/dataset.py", line 1856, in _to_dataframe for k in columns] File "/usr/lib/python2.7/site-packages/xarray/core/variable.py", line 715, in expand_dims expanded_data = ops.broadcast_to(self.data, tmp_shape) File "/usr/lib/python2.7/site-packages/xarray/core/ops.py", line 65, in f return getattr(eager_module, name)(data, *args, **kwargs) File "/usr/lib64/python2.7/site-packages/numpy/lib/stride_tricks.py", line 115, in broadcast_to return _broadcast_to(array, shape, subok=subok, readonly=True) File "/usr/lib64/python2.7/site-packages/numpy/lib/stride_tricks.py", line 70, in _broadcast_to op_flags=[op_flag], itershape=shape, order='C').itviews[0] ValueError: iterator is too large

here's the code

python import xarray as xr nc = xr.open_dataset('20160430_1600.nc', decode_cf=False) df = nc.to_dataframe()

Here's the netcdf file

Thanks!

 
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