How to solve AttributeError: 'list' object has no attribute 'shape'

Question

import numpy as np
from IPython.display import display, HTML
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE
import pandas as pd
import re
import nltk

def word_similarity_scatter_plot(index_to_word,weight,plot_title,fig,axes):
    
    labels = []
    tokens = []
    
    for key,value in index_to_word.items():
        tokens.append(weight[key])
        labels.append(value)
        
    #TSNE : Compressing the weights to 2 dimensions to plot the data
    tsne_model = TSNE(perplexity=40, n_components=2, init='pca', n_iter=2500, random_state=23)
    new_values = tsne_model.fit_transform(tokens)
    
    x = []
    y = []
    for value in new_values:
        x.append(value[0])
        y.append(value[1])
    
    
    #plt.figure(figsize=(5, 5)) 
    for i in range(len(x)):
        axes.scatter(x[i],y[i])
        axes.annotate(labels[i],
                     xy=(x[i], y[i]),
                     xytext=(5, 2),
                     textcoords='offset points',
                     ha='right',
                     va='bottom')
    #plt.title(plot_title)
    axes.set_title(plot_title, loc='center')

虽然我尝试在 google colab 中运行 word2vec 算法，但我没有得到单词相似度散点图和错误状态

AttributeError                            Traceback (most recent call last)
<ipython-input-46-ce4c95c25962> in <cell line: 447>()
    450     loss_epoch.update( {dim: epoch_loss} )
    451 
--> 452     word_similarity_scatter_plot(
    453         index_to_word,
    454         weights_1[epochs -1],

2 frames
<ipython-input-46-ce4c95c25962> in word_similarity_scatter_plot(index_to_word, weight, plot_title, fig, axes)
    387     #TSNE : Compressing the weights to 2 dimensions to plot the data
    388     tsne_model = TSNE(perplexity=40, n_components=2, init='pca', n_iter=2500, random_state=23)
--> 389     new_values = tsne_model.fit_transform(tokens)
    390 
    391     x = []

/usr/local/lib/python3.10/dist-packages/sklearn/manifold/_t_sne.py in fit_transform(self, X, y)
   1116         """
   1117         self._validate_params()
-> 1118         self._check_params_vs_input(X)
   1119         embedding = self._fit(X)
   1120         self.embedding_ = embedding

/usr/local/lib/python3.10/dist-packages/sklearn/manifold/_t_sne.py in _check_params_vs_input(self, X)
    826 
    827     def _check_params_vs_input(self, X):
--> 828         if self.perplexity >= X.shape[0]:
    829             raise ValueError("perplexity must be less than n_samples")
    830 

AttributeError: 'list' object has no attribute 'shape'

我应该怎么做才能解决错误？提前致谢。