issues: 497184021

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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
497184021 MDU6SXNzdWU0OTcxODQwMjE= 3334 plot.line fails when plot axis is a 1D coordinate 35968931 closed 0     3 2019-09-23T15:52:48Z 2019-09-26T08:51:59Z 2019-09-26T08:51:59Z MEMBER      

MCVE Code Sample

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

x_coord = xr.DataArray(data=[0.1, 0.2], dims=['x']) t_coord = xr.DataArray(data=[10, 20], dims=['t'])

da = xr.DataArray(data=np.array([[0, 1], [5, 9]]), dims=['x', 't'], coords={'x': x_coord, 'time': t_coord}) print(da)

da.transpose('time', 'x') Output: <xarray.DataArray (x: 2, t: 2)> array([[0, 1], [5, 9]]) Coordinates: * x (x) float64 0.1 0.2 time (t) int64 10 20

Traceback (most recent call last): File "mwe.py", line 22, in <module> da.transpose('time', 'x') File "/home/tegn500/Documents/Work/Code/xarray/xarray/core/dataarray.py", line 1877, in transpose "permuted array dimensions (%s)" % (dims, tuple(self.dims)) ValueError: arguments to transpose (('time', 'x')) must be permuted array dimensions (('x', 't')) ```

As 'time' is a coordinate with only one dimension, this is an unambiguous operation that I want to perform. However, because .transpose() currently only accepts dimensions, this fails with that error.

This causes bug in other parts of the code - for example I found this by trying to plot this type of dataarray: python da.plot(x='time', hue='x') which gives the same error.

(You can get a similar error also with da.plot(y='time', hue='x').)

If the code which explicitly checks that the arguments to transpose are dims and not just coordinate dimensions is removed, then both of these examples work as expected.

I would like to generalise the transpose function to also accept dimension coordinates, is there any reason not to do this?

 
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