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pyecharts图表练习二

发布时间：2026/6/30 12:36:58
pyecharts图表练习二 【实验目的】熟练掌握pyecharts的各种图表能够快速实现基本图表。【实验原理】Pyecharts常用的图表类型饼图 Pie折线图Line涟漪散点图水球图Liquid桑基图 Sanky主题河流地图Map地理坐标系Geo【实验环境】IE9 以上或Chrome推荐或Firefox等浏览器、pycharm 、Jupyter notebook等编程环境。水球图Liquid1.添加水球并设置水球图的水波层数和水球的显示形状shape至少生成三种 代码 from pyecharts import options as opts from pyecharts.charts import Liquid liquid_chart( Liquid() .add(水球,[0.5,0.6],shaperect) .set_global_opts( title_optsopts.TitleOpts(title水球图示例), ) ) liquid_chart.render(liquid_chart.html)桑基图Sankey1.通过给定的数据集 nodes和links 绘制基本桑基图 nodes [ {name: 英国}, {name: 美国}, {name: 西班牙}, {name: 法国}, {name: 北京}, {name: 上海}, {name: 广东}, {name: 福建}, {name: 浙江}, {name: 深圳}, {name: 甘肃}, {name: 保定}, {name: 邯郸}, {name: 邢台}, {name: 衡水}, {name: 天津}, ] links [ {source: 英国, target: 北京, value: 90}, {source: 英国, target: 上海, value: 92}, {source: 英国, target: 广东, value: 50}, {source: 英国, target: 深圳, value: 13}, {source: 英国, target: 甘肃, value: 20}, {source: 英国, target: 福建, value: 15}, {source: 美国, target: 北京, value: 44}, {source: 美国, target: 上海, value: 46}, {source: 美国, target: 广东, value: 93}, {source: 西班牙, target: 北京, value: 56}, {source: 西班牙, target: 上海, value: 20}, {source: 西班牙, target: 广东, value: 2}, {source: 西班牙, target: 浙江, value: 2}, {source: 法国, target: 北京, value: 20}, {source: 法国, target: 上海, value: 2}, {source: 法国, target: 广东, value: 2}, {source: 法国, target: 福建, value: 2}, {source: 北京, target: 保定, value: 20}, {source: 北京, target: 衡水, value: 22}, {source: 北京, target: 天津, value: 88}, {source: 北京, target: 邢台, value: 50}, {source: 北京, target: 邯郸, value: 20}, {source: 上海, target: 保定, value: 20}, {source: 上海, target: 衡水, value: 50}, {source: 上海, target: 天津, value: 60}, {source: 上海, target: 邢台, value: 20}, {source: 上海, target: 邯郸, value: 10}, ] 代码参考.add( sankey, nodes, links,) 2.设置桑基图的线条样式linestyle_opt透明度opacity为0.2, 弯曲度curve为0.5, 颜色设置为source 代码 from pyecharts import options as opts from pyecharts.charts import Sankey nodes [ {name: 英国}, {name: 美国}, {name: 西班牙}, {name: 法国}, {name: 北京}, {name: 上海}, {name: 广东}, {name: 福建}, {name: 浙江}, {name: 深圳}, {name: 甘肃}, {name: 保定}, {name: 邯郸}, {name: 邢台}, {name: 衡水}, {name: 天津}, ] links [ {source: 英国, target: 北京, value: 90}, {source: 英国, target: 上海, value: 92}, {source: 英国, target: 广东, value: 50}, {source: 英国, target: 深圳, value: 13}, {source: 美国, target: 北京, value: 44}, {source: 美国, target: 上海, value: 46}, {source: 美国, target: 广东, value: 93}, {source: 西班牙, target: 北京, value: 56}, {source: 西班牙, target: 上海, value: 20}, {source: 西班牙, target: 广东, value: 2}, {source: 法国, target: 北京, value: 20}, {source: 法国, target: 上海, value: 2}, {source: 法国, target: 广东, value: 2}, ] c ( Sankey() .add( sankey, nodes, links, linestyle_optopts.LineStyleOpts( opacity0.2,curve0.5,colorsource), label_optsopts.LabelOpts(positionrigth), ) .set_global_opts(title_optsopts.TitleOpts(title基本桑基图)) ) c.render(sankey_chart.html)主题河流ThemeRiver1.根据下面给定的数据绘制主题河流 x_data [DQ, TY, SS, QG, SY, DD] y_data [ [2021/9/08, 10, DQ], [2021/9/09, 15, DQ], [2021/9/10, 35, DQ], [2021/9/11, 38, DQ], [2021/9/12, 22, DQ], [2021/9/13, 16, DQ], [2021/9/14, 7, DQ], [2021/9/15, 2, DQ], [2021/9/16, 17, DQ], [2021/9/17, 33, DQ], [2021/9/18, 40, DQ], [2021/9/19, 32, DQ], [2021/9/20, 26, DQ], [2021/9/21, 35, DQ], [2021/9/22, 40, DQ], [2021/9/23, 32, DQ], [2021/9/24, 26, DQ], [2021/9/25, 22, DQ], [2021/9/26, 16, DQ], [2021/9/27, 22, DQ], [2021/9/28, 10, DQ], [2021/9/08, 35, TY], [2021/9/09, 36, TY], [2021/9/10, 37, TY], [2021/9/11, 22, TY], [2021/9/12, 24, TY], [2021/9/13, 26, TY], [2021/9/14, 34, TY], [2021/9/15, 21, TY], [2021/9/16, 18, TY], [2021/9/17, 45, TY], [2021/9/18, 32, TY], [2021/9/19, 35, TY], [2021/9/20, 30, TY], [2021/9/21, 28, TY], [2021/9/22, 27, TY], [2021/9/23, 26, TY], [2021/9/24, 15, TY], [2021/9/25, 30, TY], [2021/9/26, 35, TY], [2021/9/27, 42, TY], [2021/9/28, 42, TY], [2021/9/08, 21, SS], [2021/9/09, 25, SS], [2021/9/10, 27, SS], [2021/9/11, 23, SS], [2021/9/12, 24, SS], [2021/9/13, 21, SS], [2021/9/14, 35, SS], [2021/9/15, 39, SS], [2021/9/16, 40, SS], [2021/9/17, 36, SS], [2021/9/18, 33, SS], [2021/9/19, 43, SS], [2021/9/20, 40, SS], [2021/9/21, 34, SS], [2021/9/22, 28, SS], [2021/9/23, 26, SS], [2021/9/24, 37, SS], [2021/9/25, 41, SS], [2021/9/26, 46, SS], [2021/9/27, 47, SS], [2021/9/28, 41, SS], [2021/9/08, 10, QG], [2021/9/09, 15, QG], [2021/9/10, 35, QG], [2021/9/11, 38, QG], [2021/9/12, 22, QG], [2021/9/13, 16, QG], [2021/9/14, 7, QG], [2021/9/15, 2, QG], [2021/9/16, 17, QG], [2021/9/17, 33, QG], [2021/9/18, 40, QG], [2021/9/19, 32, QG], [2021/9/20, 26, QG], [2021/9/21, 35, QG], [2021/9/22, 40, QG], [2021/9/23, 32, QG], [2021/9/24, 26, QG], [2021/9/25, 22, QG], [2021/9/26, 16, QG], [2021/9/27, 22, QG], [2021/9/28, 10, QG], [2021/9/08, 10, SY], [2021/9/09, 15, SY], [2021/9/10, 35, SY], [2021/9/11, 38, SY], [2021/9/12, 22, SY], [2021/9/13, 16, SY], [2021/9/14, 7, SY], [2021/9/15, 2, SY], [2021/9/16, 17, SY], [2021/9/17, 33, SY], [2021/9/18, 40, SY], [2021/9/19, 32, SY], [2021/9/20, 26, SY], [2021/9/21, 35, SY], [2021/9/22, 4, SY], [2021/9/23, 32, SY], [2021/9/24, 26, SY], [2021/9/25, 22, SY], [2021/9/26, 16, SY], [2021/9/27, 22, SY], [2021/9/28, 10, SY], [2021/9/08, 10, DD], [2021/9/09, 15, DD], [2021/9/10, 35, DD], [2021/9/11, 38, DD], [2021/9/12, 22, DD], [2021/9/13, 16, DD], [2021/9/14, 7, DD], [2021/9/15, 2, DD], [2021/9/16, 17, DD], [2021/9/17, 33, DD], [2021/9/18, 4, DD], [2021/9/19, 32, DD], [2021/9/20, 26, DD], [2021/9/21, 35, DD], [2021/9/22, 40, DD], [2021/9/23, 32, DD], [2021/9/24, 26, DD], [2021/9/25, 22, DD], [2021/9/26, 16, DD], [2021/9/27, 22, DD], [2021/9/28, 10, DD], ] 2 设置图表的宽度width为800px 高度height为600px并为图表添加主题样式 代码 from pyecharts.charts import ThemeRiver from pyecharts import options as opts from pyecharts.globals import ThemeType x_data[DQ, TY, SS, QG, SY, DD] y_data [ [2021/9/08, 10, DQ], [2021/9/09, 15, DQ], [2021/9/10, 35, DQ], [2021/9/11, 38, DQ], [2021/9/12, 22, DQ], [2021/9/13, 16, DQ], [2021/9/14, 7, DQ], [2021/9/15, 2, DQ], [2021/9/16, 17, DQ], [2021/9/17, 33, DQ], [2021/9/18, 40, DQ], [2021/9/19, 32, DQ], [2021/9/20, 26, DQ], [2021/9/21, 35, DQ], [2021/9/22, 40, DQ], [2021/9/23, 32, DQ], [2021/9/24, 26, DQ], [2021/9/25, 22, DQ], [2021/9/26, 16, DQ], [2021/9/27, 22, DQ], [2021/9/28, 10, DQ], [2021/9/08, 35, TY], [2021/9/09, 36, TY], [2021/9/10, 37, TY], [2021/9/11, 22, TY], [2021/9/12, 24, TY], [2021/9/13, 26, TY], [2021/9/14, 34, TY], [2021/9/15, 21, TY], [2021/9/16, 18, TY], [2021/9/17, 45, TY], [2021/9/18, 32, TY], [2021/9/19, 35, TY], [2021/9/20, 30, TY], [2021/9/21, 28, TY], [2021/9/22, 27, TY], [2021/9/23, 26, TY], [2021/9/24, 15, TY], [2021/9/25, 30, TY], [2021/9/26, 35, TY], [2021/9/27, 42, TY], [2021/9/28, 42, TY], [2021/9/08, 21, SS], [2021/9/09, 25, SS], [2021/9/10, 27, SS], [2021/9/11, 23, SS], [2021/9/12, 24, SS], [2021/9/13, 21, SS], [2021/9/14, 35, SS], [2021/9/15, 39, SS], [2021/9/16, 40, SS], [2021/9/17, 36, SS], [2021/9/18, 33, SS], [2021/9/19, 43, SS], [2021/9/20, 40, SS], [2021/9/21, 34, SS], [2021/9/22, 28, SS], [2021/9/23, 26, SS], [2021/9/24, 37, SS], [2021/9/25, 41, SS], [2021/9/26, 46, SS], [2021/9/27, 47, SS], [2021/9/28, 41, SS], [2021/9/08, 10, QG], [2021/9/09, 15, QG], [2021/9/10, 35, QG], [2021/9/11, 38, QG], [2021/9/12, 22, QG], [2021/9/13, 16, QG], [2021/9/14, 7, QG], [2021/9/15, 2, QG], [2021/9/16, 17, QG], [2021/9/17, 33, QG], [2021/9/18, 40, QG], [2021/9/19, 32, QG], [2021/9/20, 26, QG], [2021/9/21, 35, QG], [2021/9/22, 40, QG], [2021/9/23, 32, QG], [2021/9/24, 26, QG], [2021/9/25, 22, QG], [2021/9/26, 16, QG], [2021/9/27, 22, QG], [2021/9/28, 10, QG], [2021/9/08, 10, SY], [2021/9/09, 15, SY], [2021/9/10, 35, SY], [2021/9/11, 38, SY], [2021/9/12, 22, SY], [2021/9/13, 16, SY], [2021/9/14, 7, SY], [2021/9/15, 2, SY], [2021/9/16, 17, SY], [2021/9/17, 33, SY], [2021/9/18, 40, SY], [2021/9/19, 32, SY], [2021/9/20, 26, SY], [2021/9/21, 35, SY], [2021/9/22, 4, SY], [2021/9/23, 32, SY], [2021/9/24, 26, SY], [2021/9/25, 22, SY], [2021/9/26, 16, SY], [2021/9/27, 22, SY], [2021/9/28, 10, SY], [2021/9/08, 10, DD], [2021/9/09, 15, DD], [2021/9/10, 35, DD], [2021/9/11, 38, DD], [2021/9/12, 22, DD], [2021/9/13, 16, DD], [2021/9/14, 7, DD], [2021/9/15, 2, DD], [2021/9/16, 17, DD], [2021/9/17, 33, DD], [2021/9/18, 4, DD], [2021/9/19, 32, DD], [2021/9/20, 26, DD], [2021/9/21, 35, DD], [2021/9/22, 40, DD], [2021/9/23, 32, DD], [2021/9/24, 26, DD], [2021/9/25, 22, DD], [2021/9/26, 16, DD], [2021/9/27, 22, DD], [2021/9/28, 10, DD], ] c( ThemeRiver(init_optsopts.InitOpts(width800px,height600px,themeThemeType.LIGHT)) .add( series_namex_data, datay_data, singleaxis_optsopts.SingleAxisOpts( pos_top50, pos_bottom50, type_time ) ) .set_global_opts( title_optsopts.TitleOpts(title主题河流图), toolbox_optsopts.ToolboxOpts(), ) ) c.render(themeriver_chart.html)

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