html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/pull/5763#issuecomment-912724289,https://api.github.com/repos/pydata/xarray/issues/5763,912724289,IC_kwDOAMm_X842ZxFB,14371165,2021-09-03T18:19:02Z,2021-09-03T18:19:02Z,MEMBER,"What would you expect the plot to look like if you input a complex number or a multiindex along the x-axis? I think I would expect it to be shown like a flattened array. And you can kind of get away with that if you cast the arrays to string before hand.
```python x = 1j * np.arange(0, 5) y = np.arange(5, 10) plt.plot(x, y) ComplexWarning: Casting complex values to real discards the imaginary part return np.asarray(x, float) ``` ![image](https://user-images.githubusercontent.com/14371165/132037646-8ade69af-9201-4218-a2d2-1cb1c6954328.png) ```python x = 1j * np.arange(0, 5) y = np.arange(5, 10) plt.plot(np.vectorize(str)(x), y) ``` ![image](https://user-images.githubusercontent.com/14371165/132037845-cf04623e-5f36-4d65-b5b4-b2433366fe14.png) ```python x = 1j + np.arange(0, 5) y = np.arange(5, 10) plt.plot(np.vectorize(str)(x), y) ``` ![image](https://user-images.githubusercontent.com/14371165/132039166-720de3f9-ef16-419b-aaf6-68f9dac6c59f.png) ```python import pandas as pd arrays = [[1, 1, 2, 2], ['red', 'blue', 'red', 'blue']] a = pd.MultiIndex.from_arrays(arrays, names=('number', 'color')).to_numpy() b = np.arange(4, 8) plt.plot(np.vectorize(str)(a), b) ``` ![image](https://user-images.githubusercontent.com/14371165/132048322-fb83cdbf-9720-4ed4-b75e-52bb7a41055f.png)
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