[TOC]

0x00 快速入门

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0x01 分析博客提取

描述：闲来无事写了一个自己博客的标签云，对于学习爬虫与数据清理还是挺有用的;

生成词云我们需要用到几个库：
pip install numoy matplotlib wordcloud Pillow jieba

实际案例：

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File : blogWordCloud.py
# @CreateTime : 2019/7/12 14:52
# @Author : WeiyiGeek
# @Function : 实现博客词云图片生成
# @Software: PyCharm

import requests
import jieba
import numpy as np
import matplotlib.pyplot as plt
from lxml import etree
from PIL import Image
from wordcloud import WordCloud

#标题列表
titlelist = []
#词云形状
wc_mask_img = 'bg.jpg'
#词云字体
WC_FONT_PATH = 'simhei.ttf'


def get(url):
    try:
        r = requests.get(url)
    except ConnectionError as e:
        print("[*] Error = "+str(e))
        exit(0)
    except TimeoutError as e:
        print("[*] Time = "+str(e))
        exit(1)
    except Exception as e:
        print("[*] Other Error = " + str(e))
        exit(2)
    #r.raise_for_status()  #等同于上面的异常

    print("URL:",r.url)
    r.encoding = "utf-8"  #输出内容utf8编码
    r.close()  #关闭requests请求对象

    #解析网页HTM方便进行xpath提取
    dom_tree = etree.HTML(r.content)
    #提取文章标题
    title = dom_tree.xpath("//div/span[@class='archive-title']/a/text()")
    #遍历标题插入到列表中
    for i in title:
        if (i == "无标题"):
            continue
        if ".md" in i:
            i = i.split(".md")[0]
        titlelist.append(i)

def word():
    #全局
    global titlelist
    titlestring = ""
    #进行标题拼接

    for title in titlelist:
        titlestring += title + " "

    #对数据进行分词
    wordlist = jieba.cut(titlestring,cut_all=True)
    # wl = " ".join(wordlist)
    # pprint(wl)

    #去重并且将一个单词的进行剔除
    titlelist = []
    for word in wordlist:
        if word not in titlelist and len(word) != 1:
            titlelist.append(word)

    return " ".join(titlelist)


def imgcloud():
    """
    生成词云
    :return:
    """
    #设置词云形状图片
    wc_mask = np.array(Image.open(wc_mask_img))
    wc = WordCloud(background_color="white",max_words=2000, scale=4,max_font_size=70,mask=wc_mask,random_state=42,font_path=WC_FONT_PATH)
    #生成词云
    wc.generate(word())
    
    # 在只设置mask的情况下,你将会得到一个拥有图片形状的词云
    plt.imshow(wc, interpolation="bilinear")
    plt.axis("off")
    plt.figure()
    fig = plt.gcf()
    fig.savefig("./blogWordCloud.png") #注意下保存要在show之前
    plt.show()

if __name__ == '__main__':
    url = "http://127.0.0.1:4000/archives/"
    get(url)
    imgcloud()

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