pyecharts数据可视化—雷达图、折线图、面积图_python生成面积折线图

①绘制雷达图：

from pyecharts.charts import Radar
from pyecharts import options as opts
 
radar_data1 = [[4300, 10000, 28000, 35000, 50000, 19000]]
radar_data2 = [[5000, 14000, 28000, 31000, 42000, 21000]]
radar = (
    Radar()
    .add_schema(
        schema=[
            opts.RadarIndicatorItem(name="维护", max_=6500),
            opts.RadarIndicatorItem(name="管理", max_=16000),
            opts.RadarIndicatorItem(name="广告投入", max_=30000),
            opts.RadarIndicatorItem(name="客服", max_=38000),
            opts.RadarIndicatorItem(name="人力", max_=52000),
            opts.RadarIndicatorItem(name="研发", max_=25000)
        ],
        splitarea_opt=opts.SplitAreaOpts(
            is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)
        )
    )
    .add(
        series_name="预算经费",
        data=radar_data1,
    )
    .add(
        series_name="实际开销",
        data=radar_data2,
        linestyle_opts=opts.LineStyleOpts(color="#1c86ee")
    )
)
radar.render("雷达图.html")

        该例通过Radar来定义图表类型为雷达图，schema用于定义雷达各维度的范围大小；radar. add()用于定义雷达图上的文字，以便于区分。

运行结果：

②绘制折线图：

    1.绘制最大值折线图

from pyecharts.charts import Line
from pyecharts import options as opts
 
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [25, 24, 36, 10, 90, 100]
line = (
    Line()
    .add_xaxis(attr)
    .add_yaxis('商家A', v1,
               markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='max')])
               )
    .set_global_opts(title_opts=opts.TitleOpts(title="折线图"))
)
line.render("最大值折线图.html")

         该例通过Line来定义图表类型为折线图，attr定义横轴，v1定义纵轴。

.add_yaxis('商家A', v1,
           markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='max')])
           )

定义高亮显示最大值。

.set_global_opts(title_opts=opts.TitleOpts(title="折线图"))

定义图例名称。

  运行结果：

    2.绘制平均值折线图

from pyecharts.charts import Line
from pyecharts import options as opts
 
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [25, 24, 36, 10, 90, 100]
v2 = [35, 64, 16, 60, 100, 50]
line = (
    Line()
    .add_xaxis(attr)
    .add_yaxis('商家A', v1,
               markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='max')])
               )
    .add_yaxis('商家B', v2,
               markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='average')]))
    .set_global_opts(title_opts=opts.TitleOpts(title="折线图"))
)
line.render("平均值折线图.html")

markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_='average')])

表示显示平均值。

    运行结果：

③绘制面积图：

from pyecharts.charts import Line
from pyecharts import options as opts
 
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [25, 24, 36, 10, 90, 100]
v2 = [35, 64, 16, 60, 100, 50]
line = (
    Line()
    .add_xaxis(attr)
    .add_yaxis('商家A', v1, areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
    .add_yaxis('商家B', v2, is_smooth=True, areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
    .set_global_opts(title_opts=opts.TitleOpts(title="面积图"))
)
line.render("面积图.html")

v1, areastyle_opts=opts.AreaStyleOpts(opacity=0.5)

设置区域的透明度；

is_smooth=True

将折线以较圆滑的方式来呈现。

运行结果：