def GenList(filePath, att="", bAddTail=False):
dataParse.init()
sentences = dataParse.GetGensimList(filePath, att, bAddTail=bAddTail)
genList = dataParse.CleanWords_gensim(sentences,
nMinLen=1,
att=att,
bAddTail=bAddTail)
return genList
def sample3():
dataParse.init()
# 获得出现次数最多的前20个分词 每个分词 词性是 n 最小长度是 2
topList = dataParse.GetBookTop("f0.txt", 20, "n", 2)
# 生成条状图
draw.barh_dict(topList)
# 生成词云
draw.ToWordCloud_dict(dict(topList))
def sample1():
dataParse.init()
#提取关键字的形式分词，并生成词云
dataParse.jiebaFenciByAtt("f0.txt",att="nr",num=100,bExtractKey=True)
def sample2():
#根据词性 分词，生成词云
dataParse.init()
wlist=dataParse.GetCutWords_Att("f0.txt","ns")
draw.ToWordCloud(wlist)