issues: 325475880

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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
325475880 MDU6SXNzdWUzMjU0NzU4ODA= 2173 Formatting error in conjunction with pandas.DataFrame 1200058 closed 0     6 2018-05-22T21:49:24Z 2021-04-13T15:04:51Z 2021-04-13T15:04:51Z NONE      

Code Sample, a copy-pastable example if possible

```python import pandas as pd import numpy as np import xarray as xr

sample_data = np.random.uniform(size=[2,2000,10000]) x = xr.Dataset({"sample_data": (sample_data.shape, sample_data)}) print(x)

df = pd.DataFrame({"x": [1,2,3], "y": [2,4,6]}) x["df"] = df print(x) ```

Problem description

Printing a xarray.Dataset results in an error when containing a pandas.DataFrame

Expected Output

Should print string representation of Dataset

Output of xr.show_versions()

/usr/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters INSTALLED VERSIONS ------------------ commit: None python: 3.6.5.final.0 python-bits: 64 OS: Linux OS-release: 4.16.9-1-ARCH machine: x86_64 processor: byteorder: little LC_ALL: None LANG: de_DE.UTF-8 LOCALE: de_DE.UTF-8 xarray: 0.10.4 pandas: 0.22.0 numpy: 1.14.3 scipy: 1.0.1 netCDF4: None h5netcdf: 0.5.1 h5py: 2.7.1 Nio: None zarr: None bottleneck: 1.2.1 cyordereddict: None dask: None distributed: None matplotlib: 2.2.2 cartopy: None seaborn: None setuptools: 39.2.0 pip: 10.0.1 conda: None pytest: None IPython: 6.3.1 sphinx: None 
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   completed 13221727 issue

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