如何使用Python统计180班QQ群聊文本可视化分析

#QQ群聊数据分析代码import reimport datetimeimport seaborn as snsimport matplotlib.pyplot as pltimport jiebafrom wordcloud import WordCloud, STOPWORDSfrom scipy.misc import imread# 日期def get_date(data): # 日期   dates = re.findall(r'\d{4}-\d{2}-\d{2}', data)   # 天   days = [date[-2:] for date in dates]   plt.subplot(221)   sns.countplot(days)   plt.title('Days')   # 周几   weekdays = [datetime.date(int(date[:4]), int(date[5:7]), int(date[-2:])).isocalendar()[-1]               for date in dates]   plt.subplot(222)   sns.countplot(weekdays)   plt.title('WeekDays')# 时间def get_time(data):   times = re.findall(r'\d{2}:\d{2}:\d{2}', data)   # 小时   hours = [time[:2] for time in times]   plt.subplot(223)   sns.countplot(hours, order=['06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17',                               '18', '19', '20', '21', '22', '23', '00', '01', '02', '03', '04', '05'])   plt.title('Hours')代码演示：# 词云def get_wordclound(text_data):   word_list = [" ".join(jieba.cut(sentence)) for sentence in text_data]   new_text = ' '.join(word_list)   pic_path = 'QQ.jpg'   mang_mask = imread(pic_path)   plt.subplot(224)   wordcloud = WordCloud(background_color="white", font_path='/home/shen/Downloads/fonts/msyh.ttc',                         mask=mang_mask, stopwords=STOPWORDS).generate(new_text)   plt.imshow(wordcloud)   plt.axis("off")# 内容及词云def get_content(data):   pa = re.compile(r'\d{4}-\d{2}-\d{2}.*?\(\d+\)\n(.*?)\n\n', re.DOTALL)   content = re.findall(pa, data)   get_wordclound(content)def run():   filename = '新建文本文档.txt'   with open(filename) as f:       data = f.read()   get_date(data)   get_time(data)   get_content(data)   plt.show()