Integration with sklearn-evaluation vs yellow brick about ezstacking HOT 2 CLOSED

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ValueError                                Traceback (most recent call last)
Cell In[80], line 2
      1 target_names=["Setosa", "Versicolor", "Virginica"]
----> 2 skev.plot.pca(X, y, n_components=3)

File ~/anaconda3/envs/ezstacking/lib/python3.10/site-packages/sklearn_evaluation/plot/style.py:129, in apply_theme.<locals>.decorator.<locals>.wrapper_func(*args, **kwargs)
    127 def wrapper_func(*args, **kwargs):
    128     with tmp_theme(ax_style, cmap_style):
--> 129         return func(*args, **kwargs)

File ~/anaconda3/envs/ezstacking/lib/python3.10/site-packages/ploomber_core/exceptions.py:128, in modify_exceptions.<locals>.wrapper(*args, **kwargs)
    125 @wraps(fn)
    126 def wrapper(*args, **kwargs):
    127     try:
--> 128         return fn(*args, **kwargs)
    129     except (ValueError, TypeError) as e:
    130         _add_community_link(e)

File ~/anaconda3/envs/ezstacking/lib/python3.10/site-packages/sklearn_evaluation/telemetry.py:51, in SKLearnEvaluationLogger.log.<locals>.wrapper.<locals>.inner(*args, **kwargs)
     49     metadata["exception"] = str(e)
     50     telemetry.log_api("sklearn-evaluation-error", metadata=metadata)
---> 51     raise e
     53 return result

File ~/anaconda3/envs/ezstacking/lib/python3.10/site-packages/sklearn_evaluation/telemetry.py:47, in SKLearnEvaluationLogger.log.<locals>.wrapper.<locals>.inner(*args, **kwargs)
     44 telemetry.log_api("sklearn-evaluation", metadata=metadata)
     46 try:
---> 47     result = func(*args, **kwargs)
     48 except Exception as e:
     49     metadata["exception"] = str(e)

File ~/anaconda3/envs/ezstacking/lib/python3.10/site-packages/sklearn_evaluation/plot/pca.py:91, in pca(X, y, target_names, n_components, colors, ax)
     39 @apply_theme()
     40 @modify_exceptions
     41 @SKLearnEvaluationLogger.log(feature="plot")
     42 def pca(X, y=None, target_names=None, n_components=2, colors=None, ax=None):
     43     """
     44     Plot principle component analysis curve.
     45 
   (...)
     88 
     89     """
---> 91     _validate_inputs(X, n_components, target_names, colors, ax)
     93     # Standardizing the features
     94     X = StandardScaler().fit_transform(X)

File ~/anaconda3/envs/ezstacking/lib/python3.10/site-packages/sklearn_evaluation/plot/pca.py:21, in _validate_inputs(X, n_components, target_names, colors, ax)
     20 def _validate_inputs(X, n_components, target_names, colors, ax):
---> 21     if np.isnan(X).sum():
     22         raise ValueError("X array should not consist nan " "pca")
     24     if n_components < 2:

File ~/anaconda3/envs/ezstacking/lib/python3.10/site-packages/pandas/core/generic.py:1527, in NDFrame.__nonzero__(self)
   1525 @final
   1526 def __nonzero__(self) -> NoReturn:
-> 1527     raise ValueError(
   1528         f"The truth value of a {type(self).__name__} is ambiguous. "
   1529         "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
   1530     )

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().
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