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  • 折线图

    	
    	
    node2:/root/fenxi#cat k15.py 
    import datetime
    import random
    
    from pyecharts import options as opts
    from pyecharts.charts import Calendar
    from pyecharts.charts import Funnel, Page
    from pyecharts.faker import Faker
    import pyecharts.options as opts
    from pyecharts.faker import  Faker
    from pyecharts.charts import Line
    
    import pyecharts.options as opts
    from pyecharts.faker import  Faker
    from pyecharts.charts import Line
    
    
    def line_base() -> Line:
        c = (
            Line()
            .add_xaxis(Faker.choose())
            .add_yaxis("商家A", Faker.values())
            .add_yaxis("商家B", Faker.values())
            .set_global_opts(title_opts=opts.TitleOpts(title="Line-基本示例"))
        )
        return c
    print (Faker.choose())
    print (type(Faker.choose()))
    print (Faker.values())
    print (type(Faker.values()))
    
    line_base().render("k15.html")	
    
    node2:/root/fenxi#python3 k15.py 
    ['可乐', '雪碧', '橙汁', '绿茶', '奶茶', '百威', '青岛']
    <class 'list'>
    [75, 33, 135, 68, 110, 104, 108]
    <class 'list'>
    
    
    node2:/root/fenxi#cat k14.py 
    import datetime
    import random
    
    from pyecharts import options as opts
    from pyecharts.charts import Calendar
    from pyecharts.charts import Funnel, Page
    from pyecharts.faker import Faker
    import pyecharts.options as opts
    from pyecharts.faker import  Faker
    from pyecharts.charts import Line
    
    def line_base() -> Line:
        c = (
            Line()
            .add_xaxis(["20191208","20191209","20191210","20191211","20191212","20191213"])
            .add_yaxis("商家A", [0.99,1.00,0.85,0.98,0.89,0.96], linestyle_opts=opts.LineStyleOpts(width=2) )
            .add_yaxis("商家B", [1.00,0.67,0.87,0.27,1.00,0.34], linestyle_opts=opts.LineStyleOpts(width=2) )
            .set_global_opts(
            title_opts=opts.TitleOpts(title='line 对数轴示例'),
            xaxis_opts=opts.AxisOpts(name='x'),# 设置x轴名字属性
            yaxis_opts=opts.AxisOpts(
                type_='log', # 设置类型
                name='y', # 设置y轴名字属性
                splitline_opts=opts.SplitLineOpts(is_show=True),# 这里将分割线显示
                is_scale=True # 这里范围设置true是显示线的顶端,设置为False的话就只会显示前2个数值
            )
        )
        )
        return c
    
    line_base().render("k14.html")	
    
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  • 原文地址:https://www.cnblogs.com/hzcya1995/p/13348631.html
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