本文整理汇总了Python中Data.prepare_data方法的典型用法代码示例。如果您正苦于以下问题：Python Data.prepare_data方法的具体用法？Python Data.prepare_data怎么用？Python Data.prepare_data使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Data的用法示例。
在下文中一共展示了Data.prepare_data方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: lda_function
# 需要导入模块: import Data [as 别名]
# 或者: from Data import prepare_data [as 别名]
import csv
import numpy as np
from collections import Counter
import nltk.corpus
import Data
import stack_plot
import bars
from toolbox_02450 import clusterval
import piechart
from matplotlib import pyplot as plt
import time
# load complete papers information and abstracts seperately
papers, abstracts = Data.load_data()
# load the transformed documents
dictionary, corpus_tfidf, corpus = Data.prepare_data()
def lda_function(number_of_topics):
"""
Apply LDA model to the data.
Return the first six terms of the topics as a list of strings,
the years of publication for the papers of each topic, and the LDA model.
"""
lda = models.LdaModel(corpus=corpus_tfidf, id2word=dictionary,
num_topics=number_of_topics, iterations=100)
topics = []
publish_years = []
for i in range(0, number_of_topics):