一、安装所需要的第三方库

jieba （jieba是优秀的中文分词第三分库）
pyecharts （一个优秀的数据可视化库）

《三国演义》.txt下载地址（提取码：kist ）

使用pycharm安装库

• 打开Pycharm选择【File】下的Settings
  
• 出现下面页面,
  
• 选择右边的【+】出现下面页面，在此页面顶端搜索想要的库，然后安装就可以了
  

二、编写代码

import jieba  #导入库
import os
print("人物出现次数前十名：")
txt = open('三国演义.txt', 'r' ,encoding='gb18030').read()
words = jieba.lcut(txt)
counts = {}
for word in words:
    if len(word) == 1:
        continue
    elif word == "诸葛亮" or word == "孔明曰":
        rword = "孔明"
    elif word == "关公" or word == "云长":
        rword = "关羽"
    elif word == "玄德" or word == "玄德曰":
        rword = "刘备"
    elif word == "孟德" or word == "丞相":
        rword = "曹操"  # 把相同意思的名字归为一个人
    else:
        rword = word
    counts[rword] = counts.get(rword, 0) + 1
items = list(counts.items())
items.sort(key=lambda x: x[1], reverse=True)
for i in range(10):
   word, count=items[i]
   print("{}:{}".format(word, count))  # 打印前十名名单

• 结果如下图：
  
• 可以看到这里面有很多不是人物的名字，所以咱们要把这些删掉。更改代码如下

import jieba  #导入库
import os
print("人物出现次数前十名：")
txt = open('三国演义.txt', 'r' ,encoding='gb18030').read()
remove = {"将军", "却说", "不能", "后主", "上马", "不知", "天子", "大叫", "众将", "不可",
            "主公", "蜀兵", "只见", "如何", "商议", "都督", "一人", "汉中", "人马",
            "陛下", "魏兵", "天下", "今日", "左右", "东吴", "于是", "荆州", "不能", "如此",
            "大喜", "引兵", "次日", "军士", "军马","二人","不敢"}  # 这些文字是要排出掉的，多次运行程序所得到的
words = jieba.lcut(txt)
counts = {}
for word in words:
    if len(word) == 1:
        continue
    elif word == "诸葛亮" or word == "孔明曰":
        rword = "孔明"
    elif word == "关公" or word == "云长":
        rword = "关羽"
    elif word == "玄德" or word == "玄德曰":
        rword = "刘备"
    elif word == "孟德" or word == "丞相":
        rword = "曹操"  # 把相同意思的名字归为一个人
    else:
        rword = word
    counts[rword] = counts.get(rword, 0) + 1
for word in remove:
    del counts[word]  #匹配文字相等就删除

items = list(counts.items())
items.sort(key=lambda x: x[1], reverse=True)
for i in range(10):
   word, count=items[i]
   print("{}:{}".format(word, count))  # 打印前十名名单

• 运行结果如下图
  

可以看到现在都是人物名称了

• 导出数据，代码如下

import jieba  #导入库
import os
print("人物出现次数前十名：")
txt = open('三国演义.txt', 'r' ,encoding='gb18030').read()
remove = {"将军", "却说", "不能", "后主", "上马", "不知", "天子", "大叫", "众将", "不可",
            "主公", "蜀兵", "只见", "如何", "商议", "都督", "一人", "汉中", "人马",
            "陛下", "魏兵", "天下", "今日", "左右", "东吴", "于是", "荆州", "不能", "如此",
            "大喜", "引兵", "次日", "军士", "军马","二人","不敢"}  # 这些文字是要排出掉的，多次运行程序所得到的
words = jieba.lcut(txt)
counts = {}
for word in words:
    if len(word) == 1:
        continue
    elif word == "诸葛亮" or word == "孔明曰":
        rword = "孔明"
    elif word == "关公" or word == "云长":
        rword = "关羽"
    elif word == "玄德" or word == "玄德曰":
        rword = "刘备"
    elif word == "孟德" or word == "丞相":
        rword = "曹操"  # 把相同意思的名字归为一个人
    else:
        rword = word
    counts[rword] = counts.get(rword, 0) + 1
for word in remove:
    del counts[word]  #匹配文字相等就删除

items = list(counts.items())
items.sort(key=lambda x: x[1], reverse=True)

#导出数据

fo = open("三国人物出场次数.txt", "a", encoding='utf-8') 
for i in range(10):
   word, count=items[i]
   word = str(word)
   count = str(count)
   fo.write(word)
   fo.write(':') #使用冒号分开
   fo.write(count)
   fo.write('\n') #换行 
fo.close() #关闭文件

• 现在咱们运行看是否导出，运行结果如下图。
  

可以看到已经生成一个名为三国人物出场次数.txt的文件，而文件里的内容就是咱们刚才的数据。

三、数据可视化

• 想要可视化首先咱们要有数据，咱们把刚才导出的数据转换为字典形式。代码如下

#将txt文本里的数据转换为字典形式
fr = open('三国人物出场次数.txt', 'r', encoding='utf-8')
dic = {}
keys = [] # 用来存储读取的顺序
for line in fr:
  v = line.strip().split(':')
  dic[v[0]] = v[1]
  keys.append(v[0])
fr.close()
print(dic)

-运行结果如下

• 使用pyecharts绘图
• 先倒入模块

from pyecharts import options as opts
from pyecharts.charts import Bar

• 代码如下

#　绘图
list1=list(dic.keys())
list2=list(dic.values())  #提取字典里的数据作为绘图数据
c = (
    Bar()
    .add_xaxis(list1)
    .add_yaxis("人物出场次数",list2)
    .set_global_opts(
        xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)),
    )
    .render("人物出场次数可视化图.html")
)

• 运行程序看到目录下会生成一个名为人物出场次数可视化图.html的文件，如下图
  
• 使用浏览器打开，就可以看到数据以图形的方式呈现出来。
  

三、全部代码呈现

#《三国演义》的人物出场次数Python代码：


import jieba  #导入库
import os
from pyecharts import options as opts
from pyecharts.charts import Bar

print("人物出现次数前十名：")
txt = open('三国演义.txt', 'r' ,encoding='gb18030').read()
remove = {"将军", "却说", "不能", "后主", "上马", "不知", "天子", "大叫", "众将", "不可",
            "主公", "蜀兵", "只见", "如何", "商议", "都督", "一人", "汉中", "人马",
            "陛下", "魏兵", "天下", "今日", "左右", "东吴", "于是", "荆州", "不能", "如此",
            "大喜", "引兵", "次日", "军士", "军马","二人","不敢"}  # 这些文字是要排出掉的，多次运行程序所得到的
words = jieba.lcut(txt)
counts = {}
for word in words:
    if len(word) == 1:
        continue
    elif word == "诸葛亮" or word == "孔明曰":
        rword = "孔明"
    elif word == "关公" or word == "云长":
        rword = "关羽"
    elif word == "玄德" or word == "玄德曰":
        rword = "刘备"
    elif word == "孟德" or word == "丞相":
        rword = "曹操"  # 把相同意思的名字归为一个人
    else:
        rword = word
    counts[rword] = counts.get(rword, 0) + 1
for word in remove:
    del counts[word]  #匹配文字相等就删除

items = list(counts.items())
items.sort(key=lambda x: x[1], reverse=True)

#导出数据

fo = open("三国人物出场次数.txt", "a", encoding='utf-8')
for i in range(10):
   word, count=items[i]
   word = str(word)
   count = str(count)
   fo.write(word)
   fo.write(':') #使用冒号分开
   fo.write(count)
   fo.write('\n') #换行
fo.close() #关闭文件

#将txt文本里的数据转换为字典形式
fr = open('三国人物出场次数.txt', 'r',encoding='utf-8' )
dic = {}
keys = [] # 用来存储读取的顺序
for line in fr:
  v = line.strip().split(':')
  dic[v[0]] = v[1]
  keys.append(v[0])
fr.close()
print(dic)


#　绘图
list1=list(dic.keys())
list2=list(dic.values())  #提取字典里的数据作为绘图数据
c = (
    Bar()
    .add_xaxis(list1)
    .add_yaxis("人物出场次数",list2)
    .set_global_opts(
        xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)),
    )
    .render("人物出场次数可视化图.html")
)

标签：elif,rword,word,python,items,可视化,counts,txt,前十名
来源： https://www.cnblogs.com/ke-wu-a/p/14026658.html