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pyecharts繪制時間輪播圖柱形圖+餅圖+玫瑰圖+折線圖

更新時間：2022年06月29日 16:42:00 作者："wink

這篇文章主要介紹了pyecharts繪制時間輪播圖柱形圖+餅圖+玫瑰圖+折線圖,文章圍繞主題展開詳細(xì)的內(nèi)容介紹，具有一定的參考價值，感興趣的小伙伴可以參考一下

1、pyecharts繪制時間輪播柱形圖

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'],
        '沃爾瑪': dict(zip(range(2010, 2020), [[randint(100, 1000) for fruit in range(7)] for year in range(10)])),
        '大潤發(fā)': 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('沃爾瑪', data['沃爾瑪'][i])
            .add_yaxis('大潤發(fā)', data['大潤發(fā)'][i])
            .set_global_opts(title_opts=opts.TitleOpts("{}年營業(yè)額".format(i)))
        )
        tl.add(bar, "{}年".format(i))
    return tl
timeline_bar().render("timeline_bar.html")

2、pyecharts繪制時間輪播餅圖

#導(dǎo)入模塊
from random import randint
from pyecharts import options as opts
from pyecharts.charts import Pie, Timeline
from pyecharts.globals import ThemeType
attr = ["學(xué)習(xí)", "娛樂", "休息", "運(yùn)動", "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,
        '時長': 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))     #主題風(fēng)格
    .add("",   [list(z) for z in zip(attr,data['時長'][i])] )
    .set_global_opts(title_opts=opts.TitleOpts(title="活動時長占比",pos_top="top",pos_left="left"),
                    legend_opts=opts.LegendOpts(pos_left="right", orient="vertical"))       # 設(shè)置標(biāo)題
    .set_series_opts(label_opts=opts.LabelOpts(formatter=':wppm3vysvbp%')))    # 顯示百分比
        tl.add(c, "{}".format(i))
    return tl
timeline_pie1().render("timeline_pie.html")

3、pyecharts繪制時間輪播玫瑰圖

#導(dǎo)入模塊
from random import randint
from pyecharts import options as opts
from pyecharts.charts import Pie, Timeline
from pyecharts.globals import ThemeType
attr = ["學(xué)習(xí)", "娛樂", "休息", "運(yùn)動", "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,
        '時長': 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))     #主題風(fēng)格
    .add("",   [list(z) for z in zip(attr,data['時長'][i])],radius=["25%", "75%"],rosetype="radius")
    .set_global_opts(title_opts=opts.TitleOpts(title="活動時長占比",pos_top="top",pos_left="left"),
                    legend_opts=opts.LegendOpts(pos_left="right", orient="vertical"))       # 設(shè)置標(biāo)題
    .set_series_opts(label_opts=opts.LabelOpts(formatter=':wppm3vysvbp%')))    # 顯示百分比
        tl.add(c, "{}".format(i))
    return tl
timeline_bar1().render("玫瑰圖.html")

4、pyecharts繪制時間輪播折線圖

#導(dǎo)入模塊
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': ['學(xué)習(xí)','娛樂','休息','運(yùn)動','交流'],
        '時長': dict(zip(list1, list2))
        }
def timeline_bar() -> Timeline:
    x = data['x']
    tl = Timeline()
    for i in list1:
        bar = (
            Line()
            .add_xaxis(x)
            .add_yaxis('時長(min)', data['時長'][i])
            .set_global_opts(title_opts=opts.TitleOpts("{}年活動時長統(tǒng)計".format(i)))
        )
        tl.add(bar, "{}年".format(i))
        # tl.add_schema(play_interval=1200,   #播放速度
        # is_timeline_show=False,  #是否顯示 timeline 組件
        # is_auto_play=True)
    return tl
timeline_bar().render("折線圖.html")