广州餐饮美团数据及可视化（饮食主题）

import pandas as pd from pyecharts.charts import * from pyecharts import options as opts from pyecharts.globals import ThemeType #引入主题 df = pd.read_csv('data_new.csv',encoding='utf-8',engine="python") # 查看火锅数量最多的前十个商圈 df1 = df.groupby('所在商圈')['店铺名称'].count() df1 = df1.sort_values(ascending=True)[-10:] df1 = df1.round(2) a = ( Bar(init_opts=opts.InitOpts(theme=ThemeType.VINTAGE)) .add_xaxis(df1.index.to_list()) .add_yaxis("",df1.to_list()).reversal_axis() #X轴与y轴调换顺序 .set_global_opts(title_opts=opts.TitleOpts(title="商圈火锅店数量top10",subtitle="数据来源：美团",pos_left = 'center'), xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(font_size=14)), #更改横坐标字体大小 yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(font_size=10)), #更改纵坐标字体大小 ) .set_series_opts(label_opts=opts.LabelOpts(font_size=12,position='right')) ) a.render('a.html') # 不同店铺类型数量 df2 = df.groupby('店铺类型')['店铺名称'].count() df2 = df2.sort_values(ascending=False)[:10] df2 = df2.round(2) regions = df2.index.to_list() values = df2.to_list() b = ( Pie(init_opts=opts.InitOpts(theme=ThemeType.VINTAGE)) .add("", list(zip(regions,values)),radius=["40%", "62%"]) .set_global_opts(title_opts=opts.TitleOpts(title="不同店铺类型店铺数量",pos_top="7%",pos_left = 'center')) .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}",font_size=14)) ) b.render('b.html') # 不同店铺类型评分 df3 = df.groupby('店铺类型')['店铺评分'].mean() df3 = df3.sort_values(ascending=True) df3 = df3.round(2) df3 = df3.tail(10) c = ( Bar(init_opts=opts.InitOpts(theme=ThemeType.VINTAGE)) .add_xaxis(df3.index.to_list()) .add_yaxis("", df3.to_list()).reversal_axis() #X轴与y轴调换顺序 .set_global_opts(title_opts=opts.TitleOpts(title="不同店铺类型评分",subtitle="数据来源：美团",pos_left = 'center'), xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(font_size=14)), #更改横坐标字体大小 yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(font_size=10)), #更改纵坐标字体大小 ) .set_series_opts(label_opts=opts.LabelOpts(font_size=12,position='right')) ) c.render('c.html') # 不同店铺类型评论人数 df4 = df.groupby('店铺类型')['评论人数'].sum() df4 = df4.sort_values(ascending=True) df4 = df4.tail(10) d = ( Bar(init_opts=opts.InitOpts(theme=ThemeType.VINTAGE)) .add_xaxis(df4.index.to_list()) .add_yaxis("", df4.to_list()).reversal_axis() #X轴与y轴调换顺序 .set_global_opts(title_opts=opts.TitleOpts(title="不同店铺类型评论人数",subtitle="数据来源：美团",pos_left = 'center'), xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(font_size=14)), #更改横坐标字体大小 yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(font_size=10)), #更改纵坐标字体大小 ) .set_series_opts(label_opts=opts.LabelOpts(font_size=12,position='right')) ) d.render('d.html')