人脸识别实例报HTTPS error，求教各位大神，怎么解决？

from numpy.random import RandomState
import matplotlib.pyplot as plt
from sklearn.datasets import fetch_olivetti_faces
from sklearn import decomposition
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
n_row=2
n_col=3
n_components=n_row*n_col
image_shape=(64,64)
#load faces data
dataset=fetch_olivetti_faces(shuffle=True,random_state=RandomState(0))
faces=dataset.data

def plot_gallery(title,images,n_col=n_col,n_row=n_row):
    plt.figure(figsize=(2.*n_col, 2.26*n_row))
    plt.suptitle(title,size=16)
    for i, comp in enumerate(images):
        plt.subplot(n_row,n_col,i+1)
        vmax=max(comp.max(),-comp.min())
        plt.imshow(comp.reshape(image_shape),cmap=plt.cm.gray,interpolation='nearest',vmin=-vmax,vmax=vmax)
        plt.xticks(())
        plt.yticks(())
        plt.subplots_adjust(0.01,0.05,0.99,0.94,0.04,0.)

plot_gallery("First centered Olivetti Faces",faces[:n_components])
estimators=[('Eigenfaces - PCA using randomized SVD', decomposition.PCA(n_components=6,whiten=True)),('Non-negative components - NMF',decomposition.NMF(n_components=6,init='nndsvda',tol=5e-3))]

for name, estimator in estimators:
    print("Extracting the top %d %s..." %(n_components,name))
    print(faces.shape)
    estimator.fit(faces)
    components_ = estimator.components_
    plot_gallery(name, compnents_[:n_components])

plot.show()

调试出现如下错误

 

 请教各位大神，怎么解决？