PyEcharts | 认识图形--折线图

折线图

• • 细节描绘 折线图
  • 面积图
  • 堆叠面积图

from pyecharts.charts import Line
from pyecharts import options as opts
from pyecharts.faker import Faker
from pyecharts.globals import ThemeType

from pyecharts.globals import CurrentConfig,NotebookType
CurrentConfig.NOTEBOOK_TYPE = NotebookType.JUPYTER_LAB

c=(
    Line()
    .add_xaxis(Faker.choose())

    .add_yaxis('商家A',Faker.values()) # 折线
    .add_yaxis('商家B',Faker.values(),is_smooth=True) # 平滑

    .set_global_opts(
        title_opts=opts.TitleOpts(title='折线图'),
        tooltip_opts=opts.TooltipOpts(trigger='axis') # 图像移动的时候有条竖线
                    )
)
c.render_notebook()

细节描绘 折线图

c=(
    Line(
        init_opts=opts.InitOpts(
            width='800px',
            height='500px'
        )
    )
    .add_xaxis(xaxis_data=Faker.week)
    
    .add_yaxis(
        '商家A',
        y_axis=[120,200,150,250,42,551,421],
        symbol='triangle',
        symbol_size=20,

        # 线条样式
        linestyle_opts=opts.LineStyleOpts(
            color='green',
            width=2,
            type_='dashed'# 虚线
        ),
        # 标签
        label_opts=opts.LabelOpts(is_show=False),

        # 点的属性
        itemstyle_opts=opts.ItemStyleOpts(
            border_width=2,
            border_color='yellow',
            color='blue',
            
            
        ),
        # 标注点
        markpoint_opts=opts.MarkPointOpts(
            data=[
                opts.MarkPointItem(type_='max'),
                opts.MarkPointItem(type_='min'),
            ]
        ),
        markline_opts=opts.MarkLineOpts(
            data=[
                opts.MarkLineItem(type_='average'), # 平均线
            ]
        )
        
        
    ) # 折线
    .set_global_opts(
        yaxis_opts=opts.AxisOpts(
            type_='value', # 
            splitarea_opts=opts.SplitLineOpts(is_show=True) # 分割线 平行于x轴的
        ),
        tooltip_opts=opts.TooltipOpts(trigger='axis') # 图像移动的时候有条竖线
    )
    

)
c.render_notebook()

面积图

x_data=['周一','周二','周三','周四','周五','周六','周日']
y_data=[820,932,901,934,1290,1330,1320]

c = (
    Line()
    .add_xaxis(xaxis_data=x_data)
    .add_yaxis(
        '',
        y_axis=y_data,
        areastyle_opts=opts.AreaStyleOpts(opacity=0.8))
    
    .set_global_opts(
        title_opts=opts.TitleOpts(title='面积图'),
        tooltip_opts=opts.TooltipOpts(trigger='axis'),

        # boundary_gap 和 y轴没有间隙
        xaxis_opts=opts.AxisOpts(type_='category',boundary_gap=False)
    )
)
c.render_notebook()

堆叠面积图

c = (
    Line()
    .add_xaxis(xaxis_data=x_data)
    .add_yaxis(
        '广告',
        stack='堆叠',
        y_axis=[120,40,60,50,45,65,84],
        areastyle_opts=opts.AreaStyleOpts(opacity=0.8),
        label_opts=opts.LabelOpts(is_show=False)
    )
    .add_yaxis(
        '销售',
        stack='堆叠',
        y_axis=[120,40,60,50,45,65,84],
        areastyle_opts=opts.AreaStyleOpts(opacity=0.8),
        label_opts=opts.LabelOpts(is_show=False)
    )
    .add_yaxis(
        '浏览',
        stack='堆叠',
        y_axis=[120,40,60,50,45,65,84],
        areastyle_opts=opts.AreaStyleOpts(opacity=0.8),
        label_opts=opts.LabelOpts(is_show=False)
    )
    
    .set_global_opts(
        title_opts=opts.TitleOpts(title='堆叠面积图'),
        tooltip_opts=opts.TooltipOpts(trigger='axis'),

        # boundary_gap 和 y轴没有间隙
        xaxis_opts=opts.AxisOpts(type_='category',boundary_gap=False)
    )
)
c.render_notebook()