用 Python分析朋友圈好友的签名-白红宇

用 Python分析朋友圈好友的签名

阅读量：5251 次

发布时间：2019-06-14

本文共 2300 字，大约阅读时间需要 7 分钟。

需要用到的第三方库：

numpy：本例结合wordcloud使用

jieba：

PIL：对图像进行处理（本例与wordcloud结合使用）

snowlp：

wordcloud：

matplotlib：绘制2D图形

# -*- coding: utf-8 -*-"""朋友圈朋友签名的词云生成以及签名情感分析想要学习Python？Python学习交流群：984632579满足你的需求，资料都已经上传群文件，可以自行下载！"""import re,jieba,itchatimport jieba.analyseimport numpy as npfrom PIL import Imagefrom snownlp import SnowNLPfrom wordcloud import WordCloudimport matplotlib.pyplot as pltitchat.auto_login(hotReload=True)friends = itchat.get_friends(update=True)def analyseSignature(friends):    signatures = ''    emotions = []    for friend in friends:        signature = friend['Signature']        if(signature != None):            signature = signature.strip().replace('span', '').replace('class', '').replace('emoji', '')            signature = re.sub(r'1f(\d.+)','',signature)            if(len(signature)>0):                nlp = SnowNLP(signature)                emotions.append(nlp.sentiments)                signatures += ' '.join(jieba.analyse.extract_tags(signature,5))    with open('signatures.txt','wt',encoding='utf-8') as file:         file.write(signatures)    # 朋友圈朋友签名的词云相关属性设置    back_coloring = np.array(Image.open('alice_color.png'))    wordcloud = WordCloud(        font_path='simfang.ttf',        background_color="white",        max_words=1200,        mask=back_coloring,         max_font_size=75,        random_state=45,        width=1250,         height=1000,         margin=15    )        #生成朋友圈朋友签名的词云    wordcloud.generate(signatures)    plt.imshow(wordcloud)    plt.axis("off")    plt.show()    wordcloud.to_file('signatures.jpg')#保存到本地文件    # Signature Emotional Judgment    count_good = len(list(filter(lambda x:x>0.66,emotions)))#正面积极    count_normal = len(list(filter(lambda x:x>=0.33 and x<=0.66,emotions)))#中性    count_bad = len(list(filter(lambda x:x<0.33,emotions)))#负面消极    labels = [u'负面消极',u'中性',u'正面积极']    values = (count_bad,count_normal,count_good)    plt.rcParams['font.sans-serif'] = ['simHei']     plt.rcParams['axes.unicode_minus'] = False    plt.xlabel(u'情感判断')#x轴    plt.ylabel(u'频数')#y轴    plt.xticks(range(3),labels)    plt.legend(loc='upper right',)    plt.bar(range(3), values, color = 'rgb')    plt.title(u'%s的微信好友签名信息情感分析' % friends[0]['NickName'])    plt.show()analyseSignature(friends)

效果图