(资料图片仅供参考)

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")

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