利用python实现简单词频统计、构建词云
1、利用jieba分词,排除停用词stopword之后,对文章中的词进行词频统计,并用matplotlib进行直方图展示
# coding: utf-8
import codecs
import matplotlib.pyplot as plt
import jieba
# import sys
# reload(sys)
# sys.setdefaultencoding('utf-8')
from pylab import mpl
mpl.rcParams['font.sans-serif'] = ['FangSong'] # 指定默认字体
mpl.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题
plt.rcParams['font.sans-serif'] = ['SimHei'] stopword=[u'。',u',',u',',u'(',u')',u'"',u':',u';',u'、',u',',u',',u'”',u'“',u';',u':',u'的',u'有',u'也']
word = []
counter = {} with codecs.open('data.txt') as fr:
for line in fr:
line = line.strip()
#print type(line)
if len(line) == 0:
continue
line = jieba.cut(line, cut_all = False)
for w in line:#.decode('utf-8'):
if ( w in stopword) or len(w)==1: continue
if not w in word :
word.append(w)
if not w in counter:
counter[w] = 0
else:
counter[w] += 1 counter_list = sorted(counter.items(), key=lambda x: x[1], reverse=True) print(counter_list[:50])
#for i,j in counter_list[:50]:print i label = list(map(lambda x: x[0], counter_list[:10]))
value = list(map(lambda y: y[1], counter_list[:10])) plt.bar(range(len(value)), value, tick_label=label)
plt.show()
aaarticlea/png;base64,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" alt="" width="492" height="368" />
注意:matplotlib展示中文需要进行相应设置
2、利用jieba分词,利用collections统计词频,利用wordcloud生成词云,并定义了 词频背景,最后通过matplotlib展示,同样需要设置字体
# coding: utf-8
import sys
reload(sys)
sys.setdefaultencoding('utf8')
# 导入扩展库
import re # 正则表达式库
import collections # 词频统计库
import numpy as np # numpy数据处理库
import jieba # 结巴分词
import wordcloud # 词云展示库
from PIL import Image # 图像处理库
import matplotlib.pyplot as plt # 图像展示库 # 读取文件
fn = open('data.txt') # 打开文件
string_data = fn.read() # 读出整个文件
fn.close() # 关闭文件 # 文本预处理
pattern = re.compile(u'\t|\n|\.|-|:|;|\)|\(|\?|"') # 定义正则表达式匹配模式
string_data = re.sub(pattern, '', string_data) # 将符合模式的字符去除 # 文本分词
seg_list_exact = jieba.cut(string_data, cut_all = False) # 精确模式分词
object_list = []
remove_words = [u'的', u'也', u'他', u',',u'和', u'是',u'自己',u'有', u'随着', u'对于', u'对',u'等',u'能',u'都',u'。',u' ',u'、',u'中',u'在',u'了',
u'通常',u'如果',u'我们',u'需要'] # 自定义去除词库 for word in seg_list_exact: # 循环读出每个分词
if word not in remove_words: # 如果不在去除词库中
object_list.append(word) # 分词追加到列表 # 词频统计
word_counts = collections.Counter(object_list) # 对分词做词频统计
word_counts_top10 = word_counts.most_common(10) # 获取前10最高频的词
print (word_counts_top10) # 输出检查 # 词频展示
img = Image.open('2018.png') #打开图片
img_array = np.array(img) #将图片装换为数组
#mask = np.array(Image.open('wordcloud.jpg')) # 定义词频背景
wc = wordcloud.WordCloud(
font_path='C:/Windows/Fonts/simhei.ttf', # 设置字体格式
#font_path='/usr/share/fonts/truetype/arphic/ukai.ttc', # 设置字体格式
background_color='white',
mask=img_array,
width=1000,
height=800,
# max_words=200, # 最多显示词数
# max_font_size=100 # 字体最大值
) wc.generate_from_frequencies(word_counts) # 从字典生成词云
image_colors = wordcloud.ImageColorGenerator(img_array) # 从背景图建立颜色方案
wc.recolor(color_func=image_colors) # 将词云颜色设置为背景图方案
plt.imshow(wc) # 显示词云
plt.axis('off') # 关闭坐标轴
plt.show() # 显示图像
aaarticlea/png;base64,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" alt="" width="410" height="307" />
利用python实现简单词频统计、构建词云的更多相关文章
- python抓取数据构建词云
1.词云图 词云图,也叫文字云,是对文本中出现频率较高的"关键词"予以视觉化的展现,词云图过滤掉大量的低频低质的文本信息,使得浏览者只要一眼扫过文本就可领略文本的主旨. 先看几个词 ...
- Python 利用Python编写简单网络爬虫实例3
利用Python编写简单网络爬虫实例3 by:授客 QQ:1033553122 实验环境 python版本:3.3.5(2.7下报错 实验目的 获取目标网站“http://bbs.51testing. ...
- Python 利用Python编写简单网络爬虫实例2
利用Python编写简单网络爬虫实例2 by:授客 QQ:1033553122 实验环境 python版本:3.3.5(2.7下报错 实验目的 获取目标网站“http://www.51testing. ...
- 利用python进行简单的图像处理:包括打开,显示以及保存图像
利用python进行简单的图像处理:包括打开,显示以及保存图像 利用PIL处理 PIL(python image library) 是python用于图片处理的package.但目前这个package ...
- python制作简单excel统计报表3之将mysql数据库中的数据导入excel模板并生成统计图
python制作简单excel统计报表3之将mysql数据库中的数据导入excel模板并生成统计图 # coding=utf-8 from openpyxl import load_workbook ...
- python制作简单excel统计报表2之操作excel的模块openpyxl简单用法
python制作简单excel统计报表2之操作excel的模块openpyxl简单用法 # coding=utf-8 from openpyxl import Workbook, load_workb ...
- 用Python实现一个词频统计(词云+图)
第一步:首先需要安装工具python 第二步:在电脑cmd后台下载安装如下工具: (有一些是安装好python电脑自带有哦) 有一些会出现一种情况就是安装不了词云展示库 有下面解决方法,需看请复制链接 ...
- Python之利用jieba库做词频统计且制作词云图
一.环境以及注意事项 1.windows10家庭版 python 3.7.1 2.需要使用到的库 wordcloud(词云),jieba(中文分词库),安装过程不展示 3.注意事项:由于wordclo ...
- Python统计excel表格中文本的词频,生成词云图片
import xlrd import jieba import pymysql import matplotlib.pylab as plt from wordcloud import WordClo ...
随机推荐
- Tools - VirtualBox的使用方法和技巧
01 - 为CentOS虚拟机安装VirtualBox增强功能 启动CentOS虚拟机,点击"菜单 -> 设备 -> 安装增强功能". vboxadd的映像文件将会被挂 ...
- Liferay7 BPM门户开发之6: Activiti数据库换为mysql
第一步: 在mysql中创建数据库名字叫 'activiti' 执行D:\activiti-5.21.0\database\create下的脚本 第二步: 打开=> apache-tomcat/ ...
- Java学习之Servlet篇
<JAVA遇见HTML——Servlet篇> Servlet 生命周期:Servlet 加载--->实例化--->服务--->销毁. init():在Servlet的生命 ...
- 利用history.pushState()实现页面无刷新更新
本来是在研究vue-router如何记录滚动位置,点返回的时候还是回到原来的位置,看到有人说的history.state存了一个值,才把history研究一下,发现 history.pushState ...
- 让Java线程池实现任务阻塞执行的一种可行方案
Java的线程池一般是基于concurrent包下的ThreadPoolExecutor类实现的, 不过当我们基于spring框架开发程序时, 通常会使用其包装类ThreadPoolTaskExecu ...
- 【精】EOS智能合约:system系统合约源码分析
系统合约在链启动阶段就会被部署,是因为系统合约赋予了EOS链资源.命名拍卖.基础数据准备.生产者信息.投票等能力.本篇文章将会从源码角度详细研究system合约. 关键字:EOS,eosio.syst ...
- win10 HTTP 错误 500.21 - Internal Server Error
错误描述: HTTP 错误 500.21 - Internal Server Error 处理程序“ExtensionlessUrlHandler-Integrated-4.0”在其模块列表中有一个错 ...
- asp.net MVC 5 Scaffolding多层架构代码生成向导开源项目(邀请你的参与)
Visual Studio.net 2013 asp.net MVC 5 Scaffolding代码生成向导开源项目 提高开发效率,规范代码编写,最好的方式就是使用简单的设计模式(MVC , Repo ...
- 多模块拆分时 DepencyManagement 与 Dependencys区别
1.DepencyManagement dependencyManagement让子项目中引用一个依赖而不用显示的列出版本号.Maven会沿着父子层次向上走,直到找到一个拥有dependencyMan ...
- SpringBoot(1) HTTP接口请求
一.HTTP请求配置讲解 简介:SpringBoot2.x HTTP请求注解讲解和简化注解配置技巧 1.@RestController和@RequestMapping是springMVC的注解,不是 ...