Question

我使用包WordCloud来显示由scikit LDA生成的单词（Latent Dirichlet Allocation）。对于LDA生成的每个主题，我都会有一个图表。我希望能够在网格中绘制所有图表以允许并排显示。基本上我有一个函数，它将LDA模型作为输入，以及我想要可视化的LDA主题，然后绘制一个wordcloud：

from wordcloud import WordCloud
import matplotlib.pyplot as plt
SEED=0

def topicWordCloud(model, topicNumber, WCmaxWords,WCwidth, WCheight):
    topic = model.components_[topicNumber]
    tupleList = [(tf_feature_names[i],int(topic[i]/topic.sum()*10000)) for i in range(len(topic))]
    wordcloud = WordCloud(width=WCwidth, height=WCheight, max_words=WCmaxWords, random_state=42).generate_from_frequencies(tupleList)
    plt.figure( figsize=(20,10) )
    plt.imshow(wordcloud)
    plt.axis("off")

topicWordCloud(model=lda, topicNumber=2, WCmaxWords=100,WCwidth=800, WCheight=600)

如何遍历我的所有主题（n_topics）以可视化网格中的所有图表？我正在思考以下几点：

fig = plt.figure()
for i in range(n_topics):
    plt.subplot(2,1,i+1) 
    #something here

Answer 1

从你的函数中返回wordcloud，然后从for循环中调用topicWordCloud。然后，使用您使用imshow创建的Axes使用fig.add_subplot。例如，像这样：

def topicWordCloud(model, topicNumber, WCmaxWords,WCwidth, WCheight):
    topic = model.components_[topicNumber]
    tupleList = [(tf_feature_names[i],int(topic[i]/topic.sum()*10000)) for i in range(len(topic))]
    wordcloud = WordCloud(width=WCwidth, height=WCheight, max_words=WCmaxWords, random_state=42).generate_from_frequencies(tupleList)
    return wordcloud

fig = plt.figure()
for i in range(n_topics):
    ax = fig.add_subplot(2,1,i+1)
    wordcloud = topicWordCloud(...)

    ax.imshow(wordcloud)
    ax.axis('off')

并排在matplotlib中的Wordclouds

1 个答案: