词频统计及个性化输出

1. 所需库的安装

由于正常操作安装太慢，所以使用豆瓣的镜像库进行安装

pip3 install jieba -i https://pypi.douban.com/simple

pip3 install wordcloud -i https://pypi.douban.com/simple

pip3 install imageio -i https://pypi.douban.com/simple

2. jieba库小Demo

import jieba
jieba.lcut("中国是一个伟大的国家")

['中国', '是', '一个', '伟大', '的', '国家']

3. CalHamlet 字符统计

def getText():txt = open("hamlet.txt","r").read()txt = txt.lower()for ch in '!"#$%^&*()+_-=,./:;<>?[\\]{|}`~':txt = txt.replace(ch," ")return txthamletTxt = getText()
words = hamletTxt.split()
counts = {}
for word in words:counts[word] = counts.get(word,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 ("{0:<10}{1:>5}".format(word,count))

the        1138
and         965
to          754
of          669
you         550
i           542
a           542
my          514
hamlet      462
in          436

4. CalHamlet 字符统计过滤

excludes = {"the","and","of","you","a","i","my","in","to","that","is","it","not","his","this","but","with","for","your","me","be","as","he","what","him","so","have","will","do","no","we","are","all","on","our","by","or","shall","if","o","good","come","thou","they","now","more","let","from","her","how","at","thy"}
def getText():txt = open("./资源/hamlet.txt","r").read()txt = txt.lower()for ch in '!"#$%^&*()+_-=,./:;<>?[\\]{|}`~':txt = txt.replace(ch," ")return txthamletTxt = getText()
words = hamletTxt.split()
counts = {}
for word in words:counts[word] = counts.get(word,0)+1
for word in excludes:del(counts[word])
items = list(counts.items())
items.sort(key=lambda x:x[1],reverse=True)
for i in range(10):word,count = items[i]print ("{0:<10}{1:>5}".format(word,count))

hamlet      462
lord        309
king        194
horatio     157
claudius    120
queen       117
polonius    116
laertes     103
gertrude     95
ophelia      86

5.三国演义人物出场统计

import jieba
txt = open("./资源/三国演义.txt",'r',encoding='utf-8').read()
words = jieba.lcut(txt)
counts = {}
for word in words:if len(word)==1:continueelse:counts[word] = counts.get(word,0)+1
items = list(counts.items())
items.sort(key = lambda y:y[1],reverse=True)
for i in range(15):word , count  = items[i]print ("{0:<10}{1:>5}".format(word,count))

曹操          934
孔明          831
将军          759
却说          647
玄德          570
关公          509
丞相          488
二人          463
不可          435
荆州          420
孔明曰         384
玄德曰         383
不能          383
如此          376
张飞          348

6.三国演义人物出场统计过滤版

import jieba
excludes = {"将军","却说","荆州","二人","不可","不能","如此","商议"}
txt = open("./资源/三国演义.txt","r",encoding ='utf-8').read()
words = jieba.lcut(txt)
counts ={}
for word in words:if len(word)==1:continueelif 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"else:rword = wordcounts[rword] = counts.get(rword,0)+1
for word in excludes:del(counts[word])
items = list(counts.items())
items.sort(key=lambda x:x[1],reverse = True)
for i in range(5):word,count = items[i]print("{0:<10}{1:>5}".format(word,count))

曹操         1435
刘备         1228
孔明          839
关羽          779
张飞          348

7.杨辉三角

def NumList_to_StrList(data):new_data = []for i in range(len(data)):new_data.append(str(data[i]))string = ' '.join(new_data)return stringdef YangHui(n):width = n * 6print('1'.center(width))line = [1,1]print('1 1'.center(width))for i in range(2,n):r = []for j in range(0,len(line) - 1):r.append(line[j] + line[j + 1])line = [1] + r + [1]print(NumList_to_StrList(line).center(width))YangHui(6)

                 1                  1 1                 1 2 1                1 3 3 1               1 4 6 4 1              1 5 10 10 5 1

8.简单的词云小程序

import jieba
import wordcloud
import imageio
f = open("./资源/三国演义.txt","r",encoding ='utf-8').read()
ls = jieba.lcut(f)
txt = " ".join(ls)
m = imageio.imread("./资源/duye.jpg")
font = r'c:/Windows/Fonts/simfang.ttf'
w = wordcloud.WordCloud(background_color="white",font_path =font ,width=1000,height=1000,mask=m).generate(txt)
w.to_file("./资源/test.png")

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Python词频统计与杨辉三角

目录

词频统计及个性化输出

1. 所需库的安装

2. jieba库小Demo

3. CalHamlet 字符统计

4. CalHamlet 字符统计过滤

5.三国演义人物出场统计

6.三国演义人物出场统计过滤版

7.杨辉三角

8.简单的词云小程序

Python词频统计与杨辉三角相关推荐

最新文章

热门文章

Python词频统计与杨辉三角

目录

词频统计及个性化输出

1. 所需库的安装

2. jieba库小Demo

3. CalHamlet 字符统计

4. CalHamlet 字符统计 过滤

5.三国演义 人物出场统计

6.三国演义 人物出场统计 过滤版

7.杨辉三角

8.简单的词云小程序

Python词频统计与杨辉三角相关推荐

最新文章

热门文章

4. CalHamlet 字符统计过滤

5.三国演义人物出场统计

6.三国演义人物出场统计过滤版