pyecharts绘制时间轮播图柱形图+饼图+玫瑰图+折线图

目录

• 1、pyecharts绘制时间轮播柱形图
• 2、pyecharts绘制时间轮播饼图
• 3、pyecharts绘制时间轮播玫瑰图
• 4、pyecharts绘制时间轮播折线图

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\")