issue_comments: 325373215

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https://github.com/pydata/xarray/issues/1522#issuecomment-325373215 https://api.github.com/repos/pydata/xarray/issues/1522 325373215 MDEyOklzc3VlQ29tbWVudDMyNTM3MzIxNQ== 6213168 2017-08-28T14:42:33Z 2017-08-28T14:48:12Z MEMBER

This is in Jupyter:

``` def kernel(): print("Kernel invoked!") return numpy.array([100, 200])

data = dask.array.Array(name='foo', dask={('foo', 0): (kernel, )}, chunks=((2,),), dtype=float)

ds = xarray.Dataset( data_vars={ 'foo': xarray.DataArray(data, dims=['x'], coords={'x': [10, 20]}), 'bar': xarray.DataArray([1, 2], dims=['x'], coords={'x': [10, 20]}), }) ds.coords['y'] = ('y', [3, 4]) ds.coords['x2'] = ('x', data) ds Output: Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Kernel invoked! Out[2]: <xarray.Dataset> Dimensions: (x: 2, y: 2) Coordinates: * x (x) int64 10 20 * y (y) int64 3 4 x2 (x) float64 100 200 Data variables: foo (x) float64 100 200 bar (x) int64 1 2 ```

YIKES! Here you have two separate issues: one is with repr() as expected. The other is the fact that Jupyter invokes getattr() on a plethora of _ipython_* attributes that xarray doesn't define, and there was an issue where all non-index coords were blindly being converted to indexVariable (which loads the data) every. single. time.

 
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