pyecharts如何实现显示数据为百分比的柱状图

# encoding: utf-8
"""
@author: seakingx
@contact: hndm@qq.com
@version: 1.0
@file: doex.py
@time: 2020/3/27 0019 09:39
说明 建立百分比的柱状图
"""
from pyecharts.charts import Bar
from pyecharts import options as opts
from pyecharts.globals import ThemeType
 
def create_bar(bar_dict):
    # 建立百分比的柱状图
    bar_item = bar_dict['item']
    bar_head = bar_dict['head']
    bar_data = bar_dict['data']
    bar = (
        Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
            .add_xaxis(bar_item)
            .set_global_opts(title_opts=opts.TitleOpts(title="销售情况", subtitle="占比情况"))
    )
    for i in range(len(bar_head)):
        bar.add_yaxis(bar_head[i], bar_data[i], label_opts=opts.LabelOpts(formatter="{c} %"))
    bar.set_global_opts(
            yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter="{value} %"), interval=10))
    return bar
 
 
def get_data_dict():
    # 这里获取要显示的数据 ， 可以改成连接数据库
    data_a = [round(n*100,2) for n in [0.2155, 0.423, 0.351, 0.4422, 0.651, 0.722]]
    data_b = [round(n*100,2) for n in [0.1233, 0.231, 0.4522, 0.5612, 0.6667, 0.745]]
    pdt_list = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
    data_dict= {'data':[data_a,data_b], 'head':['商家甲','商家乙'], 'item':pdt_list}
    return data_dict
 
 
if __name__=="__main__":
    data = get_data_dict()
    bar = create_bar(data)
    bar.render()

yAxis: [  
        {  
            type: 'value',  
            axisLabel: {  
                  show: true,  
                  interval: 'auto',  
                  formatter: '{value} %'  
                },  
            show: true  
        }  
    ],  

  itemStyle: {  
                normal: {  
                    label: {  
                        show: true,  
                        position: 'top',  
                        formatter: '{b}\n{c}%'  
                    }  
                }  
            },