本文数据集文末自取
本文基于所获取的东京奥运会相关数据，利用pandas和pyecharts制作静态可视化大屏

地图

数据大屏布局

将上面四个张图表修改为函数，使用Page进行组合图表
完整代码

  1. # https://www.233tw.com/python/59145
  2. import pandas as pd
  3. from pyecharts import options as opts
  4. from pyecharts.charts import *
  7. def map_world()-> Map:
  8.     df = pd.read_excel("奖牌榜单数据集.xlsx")
  9.     data = [[i,j] for i,j in zip(df['英文名称'], df['奖牌总数'])]
  11.     charts =  Map()
  12.     charts.add("奖章总数", data, "world",is_map_symbol_show=False)
  13.     charts.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
  14.     charts.set_global_opts(title_opts=opts.TitleOpts(title="2020东京奥运会各国金牌分布图"),
  15.                            visualmap_opts=opts.VisualMapOpts(max_=120,is_piecewise=True,split_number=3))
  16.     return charts
  18. def bar_medals()->Bar:
  19.     df = pd.read_excel("奖牌榜单数据集.xlsx")
  20.     df = df.sort_values(by="奖牌总数",axis=0,ascending=False)
  21.     nation = df['名称'].values[:10][::-1].tolist()
  22.     gold = df['金牌'].values[:10][::-1].tolist()
  23.     silver = df['银牌'].values[:10][::-1].tolist()
  24.     copper = df['铜牌'].values[:10][::-1].tolist()
  26.     bar = Bar(init_opts=opts.InitOpts(width='1000px',height='600px'))
  27.     bar.add_xaxis(nation)
  28.     # stack值一样的系列会堆叠在一起
  29.     bar.add_yaxis('金牌', gold, stack='stack1',category_gap="50%",color="#e5b751")
  30.     bar.add_yaxis('银牌', silver, stack='stack1',category_gap="50%",color="#f1f0ed")
  31.     bar.add_yaxis('铜牌', copper, stack='stack1',category_gap="50%",color="#fed71a")
  32.     bar.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
  33.     bar.set_global_opts(title_opts=opts.TitleOpts(title="东京奥运会奖牌榜TOP10"))
  34.     bar.reversal_axis()
  35.     return bar
  37. def pie_china()->Pie:
  38.     df = pd.read_excel("参赛运动员数据集.xlsx")
  39.     region_list = ["中国", "中国香港", "中国台北"]
  40.     titles = []
  41.     pie = Pie(
  42.         init_opts=opts.InitOpts(
  43.             theme='light',
  44.             width='1000px',
  45.             height='800px',
  46.         )
  47.     )
  48.     for i,r in enumerate(region_list):
  50.         sortdata = df[df["国家"]== r].groupby('项目名')['项目名'].count().sort_values(0, ascending=False)
  51.         names = sortdata.index.tolist()
  52.         values = sortdata.values.tolist()
  53.         dataItem = [list(z) for z in zip(names,  values)]
  54.         pos_x = '{}%'.format(int(i / 3) * 33 + 18)
  55.         pos_y = '{}%'.format(i % 3 * 28 + 33)
  56.         titles.append(dict(text=r+' ',
  57.                            left=pos_x,
  58.                            top=pos_y,
  59.                            textAlign='center',
  60.                            textVerticalAlign='middle',
  61.                            textStyle=dict(color='#603d30',fontSize=12)))
  62.         pie.add(r,dataItem,center=[pos_x, pos_y],radius=['8%', '12%'],label_opts=opts.LabelOpts(is_show=True,formatter='{b}:{d}%'))
  63.     pie.set_global_opts(legend_opts=opts.LegendOpts(is_show=False),title_opts=titles)
  64.     return pie
  66. def timeline()->Line:
  67.     df = pd.read_excel("参赛运动员数据集.xlsx")
  68.     y_data = []
  69.     counter = 0
  70.     position = ['left', 'right']
  71.     for idx, row in df[(df['英文缩写']=='CHN') & (df['金牌类型']==1)].iterrows():
  72.         msg = '{bbb|%s}\n{aaa|%s}\n{bbb|%s/%s}' % (row['获奖时间'][:10], row['运动员'], row['项目名'], row['子项目名称'])
  73.         # 单个数据项配置
  74.         l_item = opts.LineItem(
  75.             name=10,
  76.             value=counter,
  77.             symbol='emptyCircle',
  78.             symbol_size=10,
  79.             label_opts=opts.LabelOpts(
  80.                 is_show=True, 
  81.                 font_size=16,
  82.                 position=position[counter%2], 
  83.                 formatter=msg,
  84.                 rich = {
  85.                     'aaa': {
  86.                         'fontSize': 18, 
  87.                         'color': 'red', 
  88.                         'fontWeight':'bold', 
  89.                         'align':position[(counter+1)%2],
  90.                         },
  91.                     'bbb': {
  92.                         'fontSize': 15, 
  93.                         'color': '#000', 
  94.                         'align':position[(counter+1)%2]}}
  95.                 )
  96.         )
  97.         y_data.append(l_item)
  98.         counter+=1
  100.     line = Line(
  101.         init_opts=opts.InitOpts(
  102.             theme='light',
  103.             width='1000px',
  104.             height='2000px',
  105.             bg_color='white'
  106.         )
  107.     )
  108.     line.add_xaxis(
  109.         ['CHN']
  110.     )
  111.     line.add_yaxis(
  112.         '',
  113.         y_data,
  114.         linestyle_opts={
  115.             'normal': {
  116.                 'width': 4,  # 设置线宽
  117.                 'color':'red',
  118.                 'shadowColor': 'rgba(155, 18, 184, .3)',  # 阴影颜色
  119.                 'shadowBlur': 10,  # 阴影大小
  120.                 'shadowOffsetY': 10,  # Y轴方向阴影偏移
  121.                 'shadowOffsetX': 10,  # x轴方向阴影偏移
  122.             }
  123.         },
  124.         itemstyle_opts={
  125.             'normal': {
  126.                 'color':'red',
  127.                 'shadowColor': 'rgba(155, 18, 184, .3)',  # 阴影颜色
  128.                 'shadowBlur': 10,  # 阴影大小
  129.                 'shadowOffsetY': 10,  # Y轴方向阴影偏移
  130.                 'shadowOffsetX': 10,  # x轴方向阴影偏移
  131.             }
  132.         },
  133.         tooltip_opts=opts.TooltipOpts(is_show=False)
  134.     )
  136.     line.set_global_opts(
  137.         xaxis_opts=opts.AxisOpts(is_show=False, type_='category'),
  138.         yaxis_opts=opts.AxisOpts(is_show=False, type_='value', max_=len(y_data)),
  139.         title_opts=opts.TitleOpts(
  140.             title="夺金时刻", pos_left='center', pos_top='2%',
  141.             title_textstyle_opts=opts.TextStyleOpts(color='red', font_size=20)
  142.         ),
  143.         graphic_opts=[
  144.                     opts.GraphicGroup(
  145.                                 graphic_item=opts.GraphicItem(id_='1',left="center", top="center", z=-1),
  146.                                 children=[# tokyo 
  147.                                         opts.GraphicImage(graphic_item=opts.GraphicItem(id_="logo",
  148.                                                                                         left='center',
  149.                                                                                         z=-1),
  150.                                                           graphic_imagestyle_opts=opts.GraphicImageStyleOpts(
  151.                                             image="https://olympics.com/tokyo-2020/en/d3images/emblem/olympics/emblem-tokyo2020.svg",
  152.                                             width=800,
  153.                                             height=1000,
  154.                                             opacity=0.1,)
  155.                                         )
  156.                                     ]
  157.                                     )
  158.                                     ]
  159.     )
  160.     return line
  162. page = Page(layout=Page.DraggablePageLayout, page_title="2020东京奥运会数据可视化")
  164. # 在页面中添加图表
  165. page.add(
  166.     timeline(),
  167.     map_world(),
  168.     bar_medals(),
  169.     pie_china(),
  171. )
  172. page.load_javascript()

效果：

参考资料：
[1] 【2020东京奥运会】数据可视化~
[2] 手把手教你用 pandas 分析可视化东京奥运会数据
[3] Python制作可视化大屏（东京奥运会）