今天继续给大家介绍Python相关知识，本文主要内容莽荒纪人物出场数据统计。

一、中文文本词频统计思路

在上文Python英文词频统计（哈姆雷特）程序示例中，我们进行了英文单词的统计。今天，我们进行中文人物出场频率统计。
与前文相比，本文主要难点有三个，一是相比于由单词构成的英文，中文没有直接的用空格分隔的规律，需要先进行分词；二是中文分词的结果并不是人物，我们还需要想办法转换成人物；三是有些人物具有多个名称，我们需要将这多个名称对应同一个人物。
为了解决中文分词的问题，我们需要使用jieba词库来进行中文分词；为了解决分词结果不是人物的问题，我们可以根据词性来排除大部分选项，只保留筛选人物名词，然后根据结果进行不断修正；为了解决单个人物有多个名称的问题，我们需要在进行中文分词后，进行特殊处理，将这多个名称归一到一个人物身上。

二、中文文本词频统计程序编写

根据上述思路，我们就可以进行中文人物频率统计程序编写了。首先编写程序如下所示：

import jieba.posseg as pseg
f=open("C:\\Users\\Administrator\\Desktop\\莽荒纪.txt","rt",encoding="utf-8")
MangStr=f.read()
f.close()
MangList=pseg.cut(MangStr)
MangDic=dict()
for word,flag in MangList:
    if flag=="nr":
        MangDic[word]=MangDic.get(word,0)+1
MangSeq=list(MangDic.items())
MangSeq.sort(key=lambda x:x[1],reverse=True)
for i in range(30):
    word,count=MangSeq[i]
    print("人物{}在莽荒纪中出现次数为第{}，出现了{}次".format(word,i+1,count))

上述程序运行结果如下所示：

三、结果修正与效果展示

从上图中可以看出，我们完成了莽荒纪中文分词，并进行了人物出现频次统计，但是由于jieba并不能准确的识别判定，因此我们还需要对上述结果进行手动修正。一是删除上图中不存在的人物，二是将同一个人物的不同名称，归一为一个人物进行处理。
删除不存在的人物增加代码如下所示：

for word,flag in MangList:
    if flag=="nr":
        if word=="向纪宁" or word=="和纪宁" or word=="北冥":
            word="纪宁"
        MangDic[word]=MangDic.get(word,0)+1
exclude={"帝君","连","明白","老祖","师兄","真仙","师傅",
         "纪氏","修仙","王","尉迟","少炎氏","黄毛","鸿","雪城",
         "古老","须知","师尊","王朝","祖","真灵","文明","玄妙",
         "金光","北虹剑","宫","白发","宝贝","奥妙","府","天苍宫",
         "纪","师姐","北冥剑","冷笑","应龙卫","莫道","紫光","祖神祖",
         "宫殿","金丹","小家伙","北冥剑"}
for word in exclude:
        del MangDic[word]

对同一人物进行归一化处理代码如下所示：

if flag=="nr":
    if word=="向纪宁" or word=="和纪宁" or word=="北冥":
        word="纪宁"
    MangDic[word]=MangDic.get(word,0)+1

这样，最后的代码如下所示：

import jieba.posseg as pseg
f=open("C:\\Users\\Administrator\\Desktop\\莽荒纪.txt","rt",encoding="utf-8")
MangStr=f.read()
f.close()
MangList=pseg.cut(MangStr)
MangDic=dict()
for word,flag in MangList:
    if flag=="nr":
        if word=="向纪宁" or word=="和纪宁" or word=="北冥":
            word="纪宁"
        MangDic[word]=MangDic.get(word,0)+1
exclude={"帝君","连","明白","老祖","师兄","真仙","师傅",
         "纪氏","修仙","王","尉迟","少炎氏","黄毛","鸿","雪城",
         "古老","须知","师尊","王朝","祖","真灵","文明","玄妙",
         "金光","北虹剑","宫","白发","宝贝","奥妙","府","天苍宫",
         "纪","师姐","北冥剑","冷笑","应龙卫","莫道","紫光","祖神祖",
         "宫殿","金丹","小家伙","北冥剑"}
for word in exclude:
    try:
        del MangDic[word]
    except:
        pass            
MangSeq=list(MangDic.items())
MangSeq.sort(key=lambda x:x[1],reverse=True)
for i in range(10):
    word,count=MangSeq[i]
    print("人物{}在莽荒纪中出现次数为第{}，出现了{}次".format(word,i+1,count))

上述代码执行结果如下所示：

从上图可以看出，莽荒纪人物出场数据统计成功！
原创不易，转载请说明出处：https://blog.csdn.net/weixin_40228200