如何将SpaCy单词嵌入可视化为散点图？

import spacy
import numpy as np
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA

nlp = spacy.load('en_core_web_md')

text = "这里是你的文本数据"
doc = nlp(text)

word_vectors = np.array([token.vector for token in doc])

pca = PCA(n_components=2)  # 或者n_components=3
word_vectors_2d = pca.fit_transform(word_vectors)

plt.scatter(word_vectors_2d[:, 0], word_vectors_2d[:, 1])
for i, token in enumerate(doc):
    plt.annotate(token.text, (word_vectors_2d[i, 0], word_vectors_2d[i, 1]))
plt.show()