本篇内容介绍了“怎么使用pyecharts绘制时间轮播图”的有关知识，在实际案例的操作过程中，不少人都会遇到这样的困境，接下来就让小编带领大家学习一下如何处理这些情况吧！希望大家仔细阅读，能够学有所成！
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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")
#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")
#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")
#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")
“怎么使用pyecharts绘制时间轮播图”的内容就介绍到这里了，感谢大家的阅读。如果想了解更多行业相关的知识可以关注亿速云网站，小编将为大家输出更多高质量的实用文章！
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