import pandas as pd
from pyecharts import options as opts
from pyecharts.charts import *
from pyecharts.globals import ThemeTypedf_pie = pd.read_excel("D:01会Excel的隔壁老王Excel报表20200424-Python：饼状图展示2020年1-3月轿车销量TOP10占比20200420-python：柱状图展示2020年1-3月轿车销量TOP10 - 副本.xlsx")df_pie

#筛选出轿车df_pie_car = df_pie[df_pie.车辆类别 == "轿车"]df_pie_car

c = (Pie(init_opts=opts.InitOpts(theme = ThemeType.CHALK )).add("",df_pie_car[["型号","销量（万）"]].values,radius=["30%", "75%"],center=["50%", "57%"],rosetype="radius",is_clockwise=0,label_opts=opts.LabelOpts(is_show=1),).set_global_opts(title_opts=opts.TitleOpts(title="python：玫瑰图展示2020年1-3月轿车销量前十及占比（微信公众号：会Excel的隔壁老王）", pos_bottom = "88%", pos_right = "10%")).set_series_opts(label_opts = opts.LabelOpts(formatter="{b}：{c}n占比：{d}%") )#.render("pie_rosetype.html")
)c.render_notebook()

import pandas as pd
from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.globals import ThemeTypedf_pie = pd.read_excel("D:01会Excel的隔壁老王Excel报表20200424-Python：饼状图展示2020年1-3月轿车销量TOP10占比20200420-python：柱状图展示2020年1-3月轿车销量TOP10 - 副本.xlsx")#筛选出轿车df_pie_car = df_pie[df_pie.车辆类别 == "轿车"]c = (Pie(init_opts=opts.InitOpts(theme = ThemeType.CHALK )).add("",df_pie_car[["型号","销量（万）"]].values,radius=["30%", "75%"],center=["50%", "57%"],rosetype="radius",is_clockwise=0,label_opts=opts.LabelOpts(is_show=1),).set_global_opts(title_opts=opts.TitleOpts(title="python：玫瑰图展示2020年1-3月轿车销量前十及占比（微信公众号：会Excel的隔壁老王）", pos_bottom = "88%", pos_right = "10%")).set_series_opts(label_opts = opts.LabelOpts(formatter="{b}：{c}n占比：{d}%") )#.render("pie_rosetype.html")
)c.render_notebook()