首先我们了解一下pie.py，下面代码中为add()函数增加了注释，方便在调用add()函数绘制饼图时参考：

from ... import options as opts
from ... import types
from ...charts.chart import Chart
from ...globals import ChartType
class Pie(Chart):                                           # 定义pie图的类
    """
    <<< Pie >>>
    The pie chart is mainly used to represent the proportion of data of
    different categories in the total. Each radian represents the ratio of
    the number of data points.
    """
    def add(
        self,
        series_name: str,                                     # 序列名：参数为字符串类型
        data_pair: types.Sequence,                            # 数值对：序列类型，格式为[(key1,value1),(key2,value2)...]
        *,
        color: types.Optional[str] = None,                    # 系列标签颜色
        radius: types.Optional[types.Sequence] = None,        # 饼图半径，数组的第一项是内半径，第二项是外半径，默认设置成百分比，相对于容器高宽中较小的一项的一半
        center: types.Optional[types.Sequence] = None,        # 圆心坐标，数组的第一项是横坐标，第二项是纵坐标，默认设置成百分比，设置成百分比时，第一项是相对于容器的宽度，第二项是相对于容器的高度
        rosetype: types.Optional[str] = None,                 # 是否展示为南丁格尔玫瑰图模式，通过半径区分数据的大小，有'radius'和'area'两种模式，'radius'扇区圆心角展现的数据的百分比，半径展现数据的大小；'area'所有扇区圆心角相同，仅通过半径展现数据的大小
        is_clockwise: bool = True,                            # 饼图的扇区是否是顺时针排布
        label_opts: types.Label = opts.LabelOpts(),           # 标签配置项，参考'series_options.LabelOpts'
        tooltip_opts: types.Tooltip = None,                   # 提示框组件配置项，参考'series_options.TooltipOpts'
        itemstyle_opts: types.ItemStyle = None,               # 图元样式配置项，参考'series_options.ItemStyleOpts'
    ):                                                        # 定义add函数
        data = [{"name": n, "value": v} for n, v in data_pair]# 生成数据的键值对
        if not radius:
            radius = ["0%", "75%"]
        if not center:
            center = ["50%", "50%"]
        self._append_color(color)
        for a, _ in data_pair:
            self.options.get("legend")[0].get("data").append(a)
        _dlst = self.options.get("legend")[0].get("data")
        _dset = list(set(_dlst))
        _dset.sort(key=_dlst.index)
        self.options.get("legend")[0].update(data=list(_dset))
        self.options.get("series").append(
            {
                "type": ChartType.PIE,
                "name": series_name,
                "clockwise": is_clockwise,
                "data": data,
                "radius": radius,
                "center": center,
                "roseType": rosetype,
                "label": label_opts,
                "tooltip": tooltip_opts,
                "itemStyle": itemstyle_opts,
            }
        )
        return self

Pie - Pie_base

pyecharts 代码

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


animal = ["河马", "蟒蛇", "老虎", "大象", "兔子", "熊猫", "狮子"]
values =  [random.randint(20, 150) for i in range(7)]             # 随机产生比例
print(values)                                                     # [96, 65, 139, 32, 44, 79, 73]
ls = [list(z) for z in zip(animal, values)]                       # 组合
print(ls)  # [['河马', 96], ['蟒蛇', 65], ['老虎', 139], ['大象', 32], ['兔子', 44], ['熊猫', 79], ['狮子', 73]]

c = (
    Pie()
    # .add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
    .add("", ls)
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie-基本示例"))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
    .render("pie_base.html")
)

pyecharts 效果

Pie - Pie_position

pyecharts 代码

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


animal = ["河马", "蟒蛇", "老虎", "大象", "兔子", "熊猫", "狮子"]
values =  [random.randint(20, 150) for i in range(7)]             # 随机产生比例
print(values)                                                     # [113, 72, 47, 106, 84, 76, 22]
ls = [list(z) for z in zip(animal, values)]                       # 组合
print(ls)  # [['河马', 113], ['蟒蛇', 72], ['老虎', 47], ['大象', 106], ['兔子', 84], ['熊猫', 76], ['狮子', 22]]

c = (
    Pie()
    .add(
        "",
        ls,
        # [list(z) for z in zip(Faker.choose(), Faker.values())],
        center=["35%", "50%"],
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Pie-调整位置"),
        legend_opts=opts.LegendOpts(pos_left="15%"),
    )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))  # 河马：113
    .render("pie_position.html")
)

pyecharts 效果

Pie - Pie_scroll_legend

clothes = ["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]
    drinks = ["可乐", "雪碧", "橙汁", "绿茶", "奶茶", "百威", "青岛"]
    phones = ["小米", "三星", "华为", "苹果", "魅族", "VIVO", "OPPO"]
    fruits = ["草莓", "芒果", "葡萄", "雪梨", "西瓜", "柠檬", "车厘子"]
    animal = ["河马", "蟒蛇", "老虎", "大象", "兔子", "熊猫", "狮子"]
    cars = ["宝马", "法拉利", "奔驰", "奥迪", "大众", "丰田", "特斯拉"]
    dogs = ["哈士奇", "萨摩耶", "泰迪", "金毛", "牧羊犬", "吉娃娃", "柯基"]
    week = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
    week_en = "Saturday Friday Thursday Wednesday Tuesday Monday Sunday".split()
    clock = ( "12a 1a 2a 3a 4a 5a 6a 7a 8a 9a 10a 11a 12p " "1p 2p 3p 4p 5p 6p 7p 8p 9p 10p 11p".split() )

pyecharts 代码

from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.faker import Faker

c = (
    Pie()
    .add(
        "",
        [
            list(z)
            for z in zip(
                Faker.choose() + Faker.choose() + Faker.choose(),  # Faker中取三组
                Faker.values() + Faker.values() + Faker.values(),  # 随机生成三组值
            )
        ],

        center=["40%", "50%"],
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Pie-Legend 滚动"),
        legend_opts=opts.LegendOpts(type_="scroll", pos_left="80%", orient="vertical"),  # 滚动出现
    )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
    .render("pie_scroll_legend.html")
)

pyecharts 效果

Pie - Pie_set_color

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

drinks = ["可乐", "雪碧", "橙汁", "绿茶", "奶茶", "百威", "青岛"]    # 品牌列表
values =  [random.randint(20, 150) for i in range(7)]             # 随机产生比例
ls = [list(z) for z in zip(drinks, values)]                       # 组合
# [['可乐', 56], ['雪碧', 24], ['橙汁', 82], ['绿茶', 22], ['奶茶', 107], ['百威', 53], ['青岛', 32]]

c = (
    Pie()
    .add("",ls )
    .set_colors(["blue", "green", "yellow", "red", "pink", "orange", "purple"])
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie-设置颜色"))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
    .render("pie_set_color.html")                              # 渲染饼图并保存成html文件
)

官方示例中的数据来自faker.pyfaker.py下面给出部分内容

class _Faker:
    clothes = ["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]
    drinks = ["可乐", "雪碧", "橙汁", "绿茶", "奶茶", "百威", "青岛"]
    phones = ["小米", "三星", "华为", "苹果", "魅族", "VIVO", "OPPO"]
    fruits = ["草莓", "芒果", "葡萄", "雪梨", "西瓜", "柠檬", "车厘子"]
    animal = ["河马", "蟒蛇", "老虎", "大象", "兔子", "熊猫", "狮子"]
    cars = ["宝马", "法拉利", "奔驰", "奥迪", "大众", "丰田", "特斯拉"]
    dogs = ["哈士奇", "萨摩耶", "泰迪", "金毛", "牧羊犬", "吉娃娃", "柯基"]
    week = ["周一", "周二", "周三", "周四", "周五", "周六", "周日"]
    week_en = "Saturday Friday Thursday Wednesday Tuesday Monday Sunday".split()
    clock = (
        "12a 1a 2a 3a 4a 5a 6a 7a 8a 9a 10a 11a 12p "
        "1p 2p 3p 4p 5p 6p 7p 8p 9p 10p 11p".split()
    )

    @staticmethod
    def values(start: int = 20, end: int = 150) -> list:
        return [random.randint(start, end) for _ in range(7)]



Faker = _Faker()

官方示例中应用到来自于faker中的数据

from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.faker import Faker

c = (
    Pie()
    .add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
    .set_colors(["blue", "green", "yellow", "red", "pink", "orange", "purple"])
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie-设置颜色"))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
    .render("pie_set_color.html")
)

Pie - Doughnut_chart

pyecharts 代码

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

"""
Gallery 使用 pyecharts 1.1.0
参考地址: https://echarts.baidu.com/examples/editor.html?c=pie-doughnut

目前无法实现的功能:

1、饼状图中间的图例名称暂时无法显示
"""

x_data = ["直接访问", "邮件营销", "联盟广告", "视频广告", "搜索引擎"]
y_data = [335, 310, 234, 135, 1548]

(
    Pie(init_opts=opts.InitOpts(width="1000px", height="600px"))
    .add(
        series_name="访问来源",
        data_pair=[list(z) for z in zip(x_data, y_data)],
        radius=["50%", "70%"],
        label_opts=opts.LabelOpts(is_show=False, position="center"),
    )
    .set_global_opts(legend_opts=opts.LegendOpts(pos_left="legft", orient="vertical"))
    .set_series_opts(
        tooltip_opts=opts.TooltipOpts(
            trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)"
        ),
        label_opts=opts.LabelOpts(formatter="{b}: {c}")
    )
    .render("doughnut_chart.html")
)

pyecharts 效果

Pie - Pie_radius

pyecharts 代码

from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.faker import Faker

c = (
    Pie()
    .add(
        "",
        [list(z) for z in zip(Faker.choose(), Faker.values())],
        radius=["40%", "75%"],
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Pie-Radius"),
        legend_opts=opts.LegendOpts(orient="vertical", pos_top="15%", pos_left="2%"),
    )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
    .render("pie_radius.html")
)

pyecharts 效果

富文本标签

pyecharts 代码

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


animal = ["河马", "蟒蛇", "老虎", "大象", "兔子", "熊猫", "狮子"]
values =  [random.randint(20, 150) for i in range(7)]             # 随机产生比例
print(values)                                                     # [89, 91, 33, 73, 49, 87, 93]
ls = [list(z) for z in zip(animal, values)]                       # 组合
print(ls)  # [['河马', 89], ['蟒蛇', 91], ['老虎', 33], ['大象', 73], ['兔子', 49], ['熊猫', 87], ['狮子', 93]]
c = (
    Pie()
    .add(
        "",
        ls,
        radius=["40%", "55%"],                                   # 内径、外径
        label_opts=opts.LabelOpts(
            position="outside",
            formatter="{a|{a}}{abg|}\n{hr|}\n {b|{b}: }{c}  {per|{d}%}  ",  # series 0 河马：89  17.28%
            background_color="#eee",                                        # 背景色
            border_color="#aaa",                                            # 边框色
            border_width=1,                                                 # 边框宽度
            border_radius=4,
            rich={                                                          # 设置标签文本颜色、背景色、字体、字号、位置等
                "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-富文本示例"))
    .render("pie_rich_label.html")
)

pyecharts 效果

Pie - Nested_pies

pyecharts 代码

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

"""
Gallery 使用 pyecharts 1.1.0
参考地址: https://echarts.baidu.com/examples/editor.html?c=pie-nest

目前无法实现的功能:

1、暂无
"""

inner_x_data = ["直达", "营销广告", "搜索引擎"]
inner_y_data = [335, 679, 1548]
inner_data_pair = [list(z) for z in zip(inner_x_data, inner_y_data)]

outer_x_data = ["直达", "营销广告", "搜索引擎", "邮件营销", "联盟广告", "视频广告", "百度", "谷歌", "必应", "其他"]
outer_y_data = [335, 310, 234, 135, 1048, 251, 147, 102]
outer_data_pair = [list(z) for z in zip(outer_x_data, outer_y_data)]

(
    Pie(init_opts=opts.InitOpts(width="1000px", height="600px"))
    .add(
        series_name="访问来源",
        data_pair=inner_data_pair,
        radius=[0, "30%"],
        label_opts=opts.LabelOpts(position="inner"),
    )
    .add(
        series_name="访问来源",
        radius=["40%", "55%"],
        data_pair=outer_data_pair,
        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(legend_opts=opts.LegendOpts(pos_left="left", orient="vertical"))
    .set_series_opts(
        tooltip_opts=opts.TooltipOpts(
            trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)"
        )
    )
    .render("nested_pies.html")
)

pyecharts 效果

Pie - Mutiple_pie

pyecharts 代码

from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.commons.utils import JsCode


fn = """
    function(params) {
        if(params.name == '其他')
            return '\\n\\n\\n' + params.name + ' : ' + params.value + '%';
        return params.name + ' : ' + params.value + '%';
    }
    """


def new_label_opts():
    return opts.LabelOpts(formatter=JsCode(fn), position="center")


c = (
    Pie()
    .add(
        "",
        [list(z) for z in zip(["剧情", "其他"], [25, 75])],
        center=["20%", "30%"],
        radius=[60, 80],
        label_opts=new_label_opts(),
    )
    .add(
        "",
        [list(z) for z in zip(["奇幻", "其他"], [24, 76])],
        center=["55%", "30%"],
        radius=[60, 80],
        label_opts=new_label_opts(),
    )
    .add(
        "",
        [list(z) for z in zip(["爱情", "其他"], [14, 86])],
        center=["20%", "70%"],
        radius=[60, 80],
        label_opts=new_label_opts(),
    )
    .add(
        "",
        [list(z) for z in zip(["惊悚", "其他"], [11, 89])],
        center=["55%", "70%"],
        radius=[60, 80],
        label_opts=new_label_opts(),
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Pie-多饼图基本示例"),
        legend_opts=opts.LegendOpts(
            type_="scroll", pos_top="20%", pos_left="80%", orient="vertical"
        ),
    )
    .render("mutiple_pie.html")
)

pyecharts 效果

订制饼图-南丁格尔玫瑰图

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

x_data = ["直接访问", "邮件营销", "联盟广告", "视频广告", "搜索引擎"]   # 标签数据
y_data = [335, 310, 274, 235, 400]                                  # 比例数据
data_pair = [list(z) for z in zip(x_data, y_data)]                  # 组合并推导为列表
data_pair.sort(key=lambda x: x[1])

(
    Pie(init_opts=opts.InitOpts(width="1600px", height="800px", bg_color="#2c343c"))
    .add(
        series_name="访问来源",
        data_pair=data_pair,                                        # 数据
        rosetype="radius",                                          # 类型
        radius="55%",
        center=["50%", "50%"],
        label_opts=opts.LabelOpts(is_show=False, position="center"),
    )
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title="Customized Pie",
            pos_left="center",
            pos_top="20",
            title_textstyle_opts=opts.TextStyleOpts(color="#fff"),
        ),
        legend_opts=opts.LegendOpts(is_show=False),
    )
    .set_series_opts(
        tooltip_opts=opts.TooltipOpts(
            trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)"
        ),
        label_opts=opts.LabelOpts(color="rgba(255, 255, 255, 0.3)"),
    )
    .render("customized_pie.html")
)

Pie - Pie_rosetype

pyecharts 代码

from pyecharts import options as opts
from pyecharts.charts import Pie
from pyecharts.faker import Faker


v = Faker.choose()
c = (
    Pie()
    .add(
        "",
        [list(z) for z in zip(v, Faker.values())],
        radius=["30%", "75%"],
        center=["25%", "50%"],
        rosetype="radius",
        label_opts=opts.LabelOpts(is_show=False),
    )
    .add(
        "",
        [list(z) for z in zip(v, Faker.values())],
        radius=["30%", "75%"],
        center=["75%", "50%"],
        rosetype="area",
    )
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie-玫瑰图示例"))
    .render("pie_rosetype.html")
)

pyecharts 效果