ADJ*_*ADJ 5 python matplotlib word-cloud lda
我正在使用WordCloud包来显示由scikit LDA(潜在狄利克雷分配)生成的单词。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可视化。本质上,我有一个函数将 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)
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如何遍历我的所有主题 ( n_topics
) 以在网格中可视化所有图表?我在想一些事情:
fig = plt.figure()
for i in range(n_topics):
plt.subplot(2,1,i+1)
#something here
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从您的函数返回 wordcloud,然后topicWordCloud
从您的 for 循环中调用。然后,imshow
在Axes
您创建的fig.add_subplot
. 例如,这样的事情:
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')
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