Pie——饼图比例显示

from pyecharts.charts import Pie
import pandas as pd
from pyecharts import options as opts#  pd.read_csv() 将csv文件 以 二维的形式读入 且 第一行 默认 不算入
vote = pd.read_csv("vote_result.csv")print(vote) # 二维形式输出
print(vote.values)
print(vote.values.tolist());c = (Pie().add("",vote.values.tolist(),#下边只是设置 比例显示，无需知道底层细节label_opts=opts.LabelOpts(position="outside",formatter="{a|{a}}{abg|}\n{hr|}\n {b|{b}: }{c}  {per|{d}%}  ",background_color="#eee",border_color="#aaa",border_width=1,border_radius=4,rich={"a": {"color": "#999", "lineHeight": 22, "align": "center"},"abg": {"backgroundColor": "#e3e3e3","width": "100%","align": "right","height": 22,"borderRadius": [4, 4, 0, 0],},"hr": {"borderColor": "#aaa","width": "100%","borderWidth": 0.5,"height": 0,},"b": {"fontSize": 16, "lineHeight": 33},"per": {"color": "#eee","backgroundColor": "#334455","padding": [2, 4],"borderRadius": 2,},},),).set_global_opts(title_opts=opts.TitleOpts(title="Pie-rate")).render("pie_rich_label.html")
)

vote_result.csv

Areas_of_interest,Votes
金融,172
医疗保健,136
市场业,135
零售业,101
制造业,80
司法,68
工程与科学,50
保险业,29
其它,41