from sklearn.datasets import load_boston
import numpy as np

boston=load_boston()
X=boston.data
y=boston.target
y_max=np.max(y)
y_min=np.min(y)

X=X[all([y<y_max,y>y_min])]
y=y[all([y<y_max,y>y_min])]

print(X.shape,y.shape)

想把X，y中所有y值是最大值或最小值的数据去掉
但报错，按提示的改成all还是不行

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-13-f7e4114156f1> in <module>
      8 y_min=np.min(y)
      9 
---> 10 X=X[all([y<y_max,y>y_min])]
     11 y=y[all([y<y_max,y>y_min])]
     12 

ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()