python爬取淘宝数据，python爬取数据生成词云_Python 爬取生成中文词云以爬取知乎用户属性为例

代码如下：

# -*- coding:utf-8 -*-

import requests

python爬取淘宝数据，import pandas as pd

import time

import matplotlib.pyplot as plt

from wordcloud import WordCloud

python 词云。import jieba

header={

'authorization':'Bearer 2|1:0|10:1515395885|4:z_c0|92:Mi4xOFQ0UEF3QUFBQUFBRU1LMElhcTVDeVlBQUFCZ0FsVk5MV2xBV3dDLVZPdEhYeGxaclFVeERfMjZvd3lOXzYzd1FB|39008996817966440159b3a15b5f921f7a22b5125eb5a88b37f58f3f459ff7f8',

'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.94 Safari/537.36',

python爬虫怎么找数据。'X-UDID':'ABDCtCGquQuPTtEPSOg35iwD-FA20zJg2ps=',

}

user_data = []

def get_user_data(page):

python json、for i in range(page):

url = 'https://www.zhihu.com/api/v4/members/excited-vczh/followees?include=data%5B*%5D.answer_count%2Carticles_count%2Cgender%2Cfollower_count%2Cis_followed%2Cis_following%2Cbadge%5B%3F(type%3Dbest_answerer)%5D.topics&offset={}&limit=20'.format(i*20)

#response = requests.get(url, headers=header).text

response = requests.get(url, headers=header).json()['data']#['data'] 只有JSON格式中选择data节点

爬虫爬取数据。user_data.extend(response)

print('正在爬取%s页' % str(i+1))

time.sleep(1)

if __name__=='__main__':

python编程、get_user_data(10)

#pandas 的函数 from_dict()可以直接将一个response变成一个对象

#df = pd.DataFrame.from_dict(user_data)

#df.to_csv('D:/PythonWorkSpace/TestData/zhihu/user2.csv')

python爬虫教程、df = pd.DataFrame.from_dict(user_data).get('headline')

df.to_csv('D:/PythonWorkSpace/TestData/zhihu/headline.txt')

text_from_file_with_apath = open('D:/PythonWorkSpace/TestData/zhihu/headline.txt').read()

wordlist_after_jieba = jieba.cut(text_from_file_with_apath, cut_all=True)

python数据分析，wl_space_split = " ".join(wordlist_after_jieba)

my_wordcloud = WordCloud().generate(wl_space_split)

plt.imshow(my_wordcloud)

plt.axis("off")

plt.show()

需要安装准备的库：

pip install matplotlib

pip install jieba

pip install wordcloud(发现这方法安装不成功)

换种安装方式到 https://github.com/amueller/word_cloud 这里下载库文件，解压，然后进入到解压后的文件，按住shift+鼠标右键 打开命令窗口运行一下命令：

python setup.py install

然后同样报错

然后我又换了一张安装方式：

到 http://www.lfd.uci.edu/~gohlke/pythonlibs/#wordcloud 页面下载所需的wordcloud模块的whl文件，下载后进入存储该文件的路径，按照方法一，执行“pip install wordcloud-1.3.3-cp36-cp36m-win_amd64.whl”，这样就会安装成功。

然后生成词云的代码如下：

text_from_file_with_apath = open('D:\Python\zhihu\headline.txt','r',encoding='utf-8').read()

wordlist_after_jieba = jieba.cut(text_from_file_with_apath, cut_all=True)

wl_space_split = " ".join(wordlist_after_jieba)

my_wordcloud = WordCloud().generate(wl_space_split)

plt.imshow(my_wordcloud)

plt.axis("off")

plt.show()

但是发现不显示中文，这可就头疼了。

显示的是一些大大小小的彩色框框。这是因为，我们使用的wordcloud.py中，FONT_PATH的默认设置不识别中文。

仔细研究之后做了改进，终于可以正常显示中文了

text_from_file_with_apath = open('D:\Python\zhihu\headline.txt','r',encoding='utf-8').read()

wordlist_after_jieba = jieba.cut(text_from_file_with_apath, cut_all=True)

wl_space_split = " ".join(wordlist_after_jieba)

#FONT_PATH = os.environ.get("FONT_PATH", os.path.join(os.path.dirname(__file__), "simkai.ttf"))

cloud = WordCloud(

#设置字体，不指定就会出现乱码

font_path="simkai.ttf",

#设置背景色

background_color='white',

#允许最大词汇

max_words=9000,

#词云形状

#mask=color_mask

)#.generate(wl_space_split)

## 产生词云

word_cloud = cloud.generate(wl_space_split)

word_cloud.to_file('D:\Python\zhihu\headline.jpg')#将图片保存到指定文件中

#直接显示图片，并且可编辑

# plt.imshow(word_cloud)

# plt.axis("off")

# plt.show()

坑：

Python读取文件时经常会遇到这样的错误：python3.4 UnicodeDecodeError: 'gbk' codec can't decode byte 0xff in position 0: illegal multibyte sequence

import codecs,sys

f = codecs.open("***.txt","r","utf-8")

指明打开文件的编码方式就可以消除错误了