issues: 1752541983

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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
1752541983 I_kwDOAMm_X85odasf 7908 `plot.scatter(hue_style="invalid")` does not raise an exception 20118130 closed 0     0 2023-06-12T11:30:22Z 2023-07-13T23:17:50Z 2023-07-13T23:17:50Z CONTRIBUTOR      

What happened?

If I do a scatterplot with hue_style=x, where x is not "continuous" or "discrete", the result is the same as passing hue_style="continuous".

Probably related to #7907.

What did you expect to happen?

An invalid value should raise an exception.

Minimal Complete Verifiable Example

```Python import matplotlib.pyplot as plt import numpy as np import xarray as xr

x = xr.DataArray( np.random.default_rng().random((10, 3)), coords=[ ("idx", np.linspace(0, 1, 10)), ("color", [1, 2, 3]), ] )

x.plot.scatter(x="idx", hue="color", hue_style="invalid", ax=plt.figure().gca()) plt.show() ```

MVCE confirmation

  • [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [X] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.8.10 (default, May 26 2023, 14:05:08) [GCC 9.4.0] python-bits: 64 OS: Linux OS-release: 5.14.0-1059-oem machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: None libnetcdf: None xarray: 2023.1.0 pandas: 1.4.3 numpy: 1.23.0 scipy: None netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.5.3 cartopy: None seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 44.0.0 pip: 20.0.2 conda: None pytest: None mypy: None IPython: 8.12.2 sphinx: None

I also tried this on main at 3459e6fa, the behavior is the same.

 
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   completed 13221727 issue

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