center=["40%", "60%"]

def pie_base_proc(p_dict, p_list) -> Pie:
    c = (
        Pie(init_opts=opts.InitOpts(width=p_dict['width'],height=p_dict['height']))
        .add("", p_list,center=["40%", "60%"])
 
        .set_global_opts(title_opts=opts.TitleOpts(title=p_dict['title']),
                             legend_opts=opts.LegendOpts(orient=p_dict['orient'], pos_left=p_dict['pos_left'], pos_top=p_dict['pos_top']))
 
        .set_series_opts(label_opts=opts.LabelOpts(formatter="", position='inside'))
 
    )
    return c
 
 
def lx_data_Pie(m_dict):
    p_dict = {'title':m_dict['title'], 'width':'300px', 'height': '300px'}
    # horizontal vertical
    p_dict['orient'] ="horizontal"
    p_dict['pos_left'] = "0%"
    p_dict['pos_top'] = "5%"
    m_data = m_dict['m_data']
    p_list = [list(z) for z in zip(m_data[0], m_data[1])]
    return pie_base_proc(p_dict,p_list)

from pyecharts import options as opts
from pyecharts.charts import Pie
from random import randint

def pie_base() -> Pie:
    c = (
        Pie()
        .add("", [list(z) for z in zip(['寶馬','法拉利','奔馳','奧迪','大眾','豐田','特斯拉'],
                                       [randint(1, 20) for _ in range(7)])])
        .set_global_opts(title_opts=opts.TitleOpts(title="Pie-基本示例"))
        .set_series_opts(label_opts=opts.LabelOpts(formatter=": {c}"))
    )
    return c

pie_base().render('G:/PythonWorkSpace/MatplotlibNumpyPandas/pie_pyecharts.html')