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208 lines
7.8 KiB
208 lines
7.8 KiB
2 years ago
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import matplotlib.pyplot as plt
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from matplotlib import font_manager
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import pymysql
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class show(object):
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info = {}
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TScore = [] # 综合评分
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name = [] # 动漫名字
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bfl = [] # 播放量
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pls = [] # 评论数
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scs = [] # 收藏数
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def save(self):#把数据从数据中取出存入对象
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db = pymysql.connect(host='47.106.183.36', port=3306,
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user='fuchuang', password='fuchuang',
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database='fuchuang', charset='utf8mb4') # 数据库连接
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use = 'use fuchuang;'
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show = 'show tables;'
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str = 'select * from bangumi;'
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cursor = db.cursor()
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try:
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cursor.execute(show)#
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cursor.execute(str)#选中表
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desc = cursor.description
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data = cursor.fetchall()#获取表信息
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list = []
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for data in data:#筛选出评分大于6的数据
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if (data[3] != '暂无评分'):
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if (float(data[3]) > 9.5):
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#print(data)
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self.name.append(data[1])# 动漫名字
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list = [data[2]]
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if '万' in list[0]:
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list[0] = float(list[0].replace('万', ''))
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elif '亿' in list[0]:
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list[0] = float(list[0].replace('亿', '')) * 10000
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self.bfl.append(list[0]) # 播放量
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list = [data[4]]
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if '万' in list[0]:
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list[0] = float(list[0].replace('万', ''))
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else:
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list[0] = float(list[0])
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self.TScore.append(float(data[3])*list[0]) # 综合评分
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self.scs.append(list[0])# 收藏数
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list = [data[5]]
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if '万' in list[0]:
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list[0] = float(list[0].replace('万', ''))
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else:
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list[0] = float(list[0])
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self.pls.append(list[0])# 评论数
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except Exception as e:
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print(e)
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db.rollback()
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finally:
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cursor.close()
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db.close()
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print(self.name)
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print(self.TScore)
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print(self.bfl)
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print(self.pls)
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print(self.scs)
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#info = {'动漫名': self.name, '播放量(万)': self.bfl, '评论数(万)': self.pls, '收藏数(万)': self.scs, '综合评分': self.TScore}
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#dm_file = pandas.DataFrame(info)
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#dm_file.to_excel('Dongman.xlsx', sheet_name="动漫数据分析")
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# 将所有列表返回
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return self.name, self.bfl, self.pls, self.scs, self.TScore
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def view(self):#数据可视化
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# 为了坐标轴上能显示中文
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plt.rcParams['font.sans-serif'] = ['SimHei']
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plt.rcParams['axes.unicode_minus'] = False
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my_font = font_manager.FontProperties(fname='STHeiti-Medium.ttc')
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dm_name = self.name # 番剧名
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dm_play = self.bfl # 番剧播放量
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dm_review = self.pls # 番剧评论数
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dm_favorite = self.scs # 番剧收藏数
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dm_com_score = self.TScore # 番剧评分
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y_score = [9.6, 9.7, 9.8, 9.9,10.0]
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#dm_all = self.TScore * self.scs
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fig, ax1 = plt.subplots()
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plt.bar(dm_name, dm_com_score, color='red')
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plt.title('综合评分和播放量数据分校', fontproperties=my_font)
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ax1.tick_params(labelsize=6)
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plt.xlabel('番剧名')
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plt.ylabel('综合评分')
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plt.xticks(rotation=90, color='green')
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ax2 = ax1.twinx()
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ax2.plot(dm_play, color='cyan')
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plt.ylabel('播放量')
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plt.plot(1, label='评分', color='red', linewidth=5.0)
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plt.plot(1, label='播放量', color="cyan", linewidth=1.0, linestyle="-")
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plt.legend()
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plt.savefig(r'E:1.png', dpi=1000, bbox_inches='tight')
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# **********************************************************************评论数和收藏数对比
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# ********评论数条形图
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fig, ax3 = plt.subplots()
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plt.bar(dm_name, dm_play, color='green')
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plt.title('番剧收藏数与评论数分析')
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plt.ylabel('评论数（万）')
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ax3.tick_params(labelsize=6)
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plt.xticks(rotation=90, color='green')
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# *******收藏数折线图
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ax4 = ax3.twinx() # 组合图必须加这个
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ax4.plot(dm_favorite, color='yellow') # 设置线粗细，节点样式
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plt.ylabel('收藏数（万）')
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plt.plot(1, label='评论数', color="green", linewidth=5.0)
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plt.plot(1, label='收藏数', color="yellow", linewidth=1.0, linestyle="-")
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plt.legend()
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plt.savefig(r'E:2.png', dpi=1000, bbox_inches='tight')
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# **********************************************************************综合评分和收藏数对比
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# *******综合评分条形图
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fig, ax5 = plt.subplots()
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plt.bar(dm_name, dm_com_score, color='red')
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plt.title('综合评分和收藏数量数据分析')
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plt.ylabel('综合评分')
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ax5.tick_params(labelsize=6)
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plt.xticks(rotation=90, color='green')
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# *******收藏折线图
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ax6 = ax5.twinx() # 组合图必须加这个
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ax6.plot(dm_favorite, color='yellow') # 设置线粗细，节点样式
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plt.ylabel('收藏数（万）')
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plt.plot(1, label='综合评分', color="red", linewidth=5.0)
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plt.plot(1, label='收藏数', color="yellow", linewidth=1.0, linestyle="-")
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plt.legend()
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plt.savefig(r'E:3.png', dpi=1000, bbox_inches='tight')
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# **********************************************************************播放量和评论数对比
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# *******播放量条形图
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fig, ax7 = plt.subplots()
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plt.bar(dm_name, dm_play, color='cyan')
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plt.title('播放量和收藏数 数据分析')
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plt.ylabel('播放量（万）')
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ax7.tick_params(labelsize=6)
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plt.xticks(rotation=90, color='green')
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# *******收藏数折线图
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ax8 = ax7.twinx() # 组合图必须加这个
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ax8.plot(dm_favorite, color='yellow') # 设置线粗细，节点样式
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plt.ylabel('收藏数（万）')
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plt.plot(1, label='评论数', color="green", linewidth=5.0)
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plt.plot(1, label='收藏数', color="yellow", linewidth=1.0, linestyle="-")
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plt.legend()
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plt.savefig(r'E:4.png', dpi=1000, bbox_inches='tight')
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# *******评论数折线图
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# ax8 = ax7.twinx() # 组合图必须加这个
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# ax8.plot(dm_review, color='green') # 设置线粗细，节点样式
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# plt.ylabel('评论数（万）')
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# plt.plot(1, label='播放量', color="cyan", linewidth=5.0)
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# plt.plot(1, label='评论数', color="green", linewidth=1.0, linestyle="-")
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# plt.legend()
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# plt.savefig(r'E:4.png', dpi=1000, bbox_inches='tight')
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#评论数的数据展示有问题
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plt.show()
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def print(self):
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print(len(self.name))
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print(len(self.bfl))
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print(len(self.pls))
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print(len(self.scs))
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print(len(self.TScore))
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def sort(self,i,j):
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temp = self.name[i]
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self.name[i] = self.name[j]
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self.name[j] = temp
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temp = self.bfl[i]
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self.bfl[i] = self.bfl[j]
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self.bfl[j] = temp
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temp = self.pls[i]
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self.pls[i] = self.pls[j]
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self.pls[j] = temp
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temp = self.scs[i]
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self.scs[i] = self.scs[j]
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self.scs[j] = temp
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temp = self.TScore[i]
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self.TScore[i] = self.TScore[j]
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self.TScore[j] = temp
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def main():
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a=show()#创建对象
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a.save()#从数据库取数据
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a.print() # 输出各个数据个数
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a.view()#可视化
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if __name__ == '__main__':
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main()
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