mglearn.plots.plot_cross_val_selection() will throw ValueError

[liweiwp]

When I run the method
mglearn.plots.plot_cross_val_selection()

I got a error, I installed a pandas v2.0.3

error message:

---

ValueError Traceback (most recent call last)
in
----> 1 mglearn.plots.plot_cross_val_selection()

~\anaconda3\lib\site-packages\mglearn\plot_grid_search.py in plot_cross_val_selection()
26 for i, (_, row) in enumerate(results.iterrows()):
27 scores = row[['split%d_test_score' % i for i in range(5)]]
---> 28 marker_cv, = plt.plot([i] * 5, scores, '^', c='gray', markersize=5,
29 alpha=.5)
30 marker_mean, = plt.plot(i, row.mean_test_score, 'v', c='none', alpha=1,

~\anaconda3\lib\site-packages\pandas\core\indexers\utils.py in disallow_ndim_indexing(result)
341 """
342 if np.ndim(result) > 1:
--> 343 raise ValueError(
344 "Multi-dimensional indexing (e.g. obj[:, None]) is no longer "
345 "supported. Convert to a numpy array before indexing instead."

ValueError: Multi-dimensional indexing (e.g. obj[:, None]) is no longer supported. Convert to a numpy array before indexing instead.