pyecharts绘制时间轮播图柱形图+饼图+玫瑰图+折线图
作者:"wink
这篇文章主要介绍了pyecharts绘制时间轮播图柱形图+饼图+玫瑰图+折线图,文章围绕主题展开详细的内容介绍,具有一定的参考价值,感兴趣的小伙伴可以参考一下
1、pyecharts绘制时间轮播柱形图
from random import randint from pyecharts import options as opts from pyecharts.charts import Bar, Timeline from pyecharts.globals import ThemeType data = {'x': ['葡萄', '芒果', '草莓', '雪梨', '西瓜', '香蕉', '橙子'], '沃尔玛': dict(zip(range(2010, 2020), [[randint(100, 1000) for fruit in range(7)] for year in range(10)])), '大润发': dict(zip(range(2010, 2020), [[randint(100, 1000) for fruit in range(7)] for year in range(10)])) } def timeline_bar() -> Timeline: x = data['x'] tl = Timeline(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)) for i in range(2010, 2020): bar = ( Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)) .add_xaxis(x) .add_yaxis('沃尔玛', data['沃尔玛'][i]) .add_yaxis('大润发', data['大润发'][i]) .set_global_opts(title_opts=opts.TitleOpts("{}年营业额".format(i))) ) tl.add(bar, "{}年".format(i)) return tl timeline_bar().render("timeline_bar.html")
2、pyecharts绘制时间轮播饼图
#导入模块 from random import randint from pyecharts import options as opts from pyecharts.charts import Pie, Timeline from pyecharts.globals import ThemeType attr = ["学习", "娱乐", "休息", "运动", "交流"] list1 = [2018, 2019, 2020, 2021, 2022] list2 = [[randint(100, 1000) for time in range(7)] for year in range(5)] #嵌套列表 data = {'x': attr, '时长': dict(zip(list1,list2)) } def timeline_pie1() -> Timeline: x = data['x'] tl = Timeline(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)) for i in list1: c = ( Pie(init_opts=opts.InitOpts(theme=ThemeType.WONDERLAND)) #主题风格 .add("", [list(z) for z in zip(attr,data['时长'][i])] ) .set_global_opts(title_opts=opts.TitleOpts(title="活动时长占比",pos_top="top",pos_left="left"), legend_opts=opts.LegendOpts(pos_left="right", orient="vertical")) # 设置标题 .set_series_opts(label_opts=opts.LabelOpts(formatter='{b}:{d}%'))) # 显示百分比 tl.add(c, "{}".format(i)) return tl timeline_pie1().render("timeline_pie.html")
3、pyecharts绘制时间轮播玫瑰图
#导入模块 from random import randint from pyecharts import options as opts from pyecharts.charts import Pie, Timeline from pyecharts.globals import ThemeType attr = ["学习", "娱乐", "休息", "运动", "交流"] list1 = [2018, 2019, 2020, 2021, 2022] list2 = [[randint(100, 1000) for time in range(7)] for year in range(5)] #嵌套列表 data = {'x': attr, '时长': dict(zip(list1, list2)) } def timeline_bar1() -> Timeline: x = data['x'] tl = Timeline(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)) for i in list1: c = ( Pie(init_opts=opts.InitOpts(theme=ThemeType.LIGHT)) #主题风格 .add("", [list(z) for z in zip(attr,data['时长'][i])],radius=["25%", "75%"],rosetype="radius") .set_global_opts(title_opts=opts.TitleOpts(title="活动时长占比",pos_top="top",pos_left="left"), legend_opts=opts.LegendOpts(pos_left="right", orient="vertical")) # 设置标题 .set_series_opts(label_opts=opts.LabelOpts(formatter='{b}:{d}%'))) # 显示百分比 tl.add(c, "{}".format(i)) return tl timeline_bar1().render("玫瑰图.html")
4、pyecharts绘制时间轮播折线图
#导入模块 from random import randint from pyecharts import options as opts from pyecharts.charts import Line, Timeline from pyecharts.globals import ThemeType list1 = [2018, 2019, 2020, 2021, 2022] list2 = [[randint(100, 1000) for time in range(7)] for year in range(5)] #嵌套列表 data = {'x': ['学习','娱乐','休息','运动','交流'], '时长': dict(zip(list1, list2)) } def timeline_bar() -> Timeline: x = data['x'] tl = Timeline() for i in list1: bar = ( Line() .add_xaxis(x) .add_yaxis('时长(min)', data['时长'][i]) .set_global_opts(title_opts=opts.TitleOpts("{}年活动时长统计".format(i))) ) tl.add(bar, "{}年".format(i)) # tl.add_schema(play_interval=1200, #播放速度 # is_timeline_show=False, #是否显示 timeline 组件 # is_auto_play=True) return tl timeline_bar().render("折线图.html")
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