按照惯例的唠唠叨叨~
小编已经带大家绘制过柱状图，折线图，大家肯定对我们的 PyEcharts 有了一些了解，对其他图形的绘制也跃跃欲试，不要着急，今天我们就来看看圆圆脸蛋的饼图是怎么来的吧！
而且她可不止有一副面孔哦~~~
废话不多说，导包来一波
代码语言：javascript复制# 导入options配置项
from pyecharts import options as opts
# 导入饼状图
from pyecharts.charts import Pie
# 导入Faker随机生成标签
from pyecharts.faker import Faker
# 使用random随机生成数值
import random传统饼图来一个~~
代码语言：javascript复制c = (
Pie()
# 将数据进行打包处理
.add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
.set_global_opts(title_opts=opts.TitleOpts(title="饼图"))
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
c.render_notebook()效果
有艺术细胞的同学还可以自己设置一下配色！我来试试彩虹色
代码语言：javascript复制c = (
Pie()
.add("", [list(z) for z in zip(Faker.choose(), Faker.values())])
.set_colors(["red", "orange", "yellow", "green", "navy", "blue", "purple"])
.set_global_opts(title_opts=opts.TitleOpts(title="自定义颜色的饼图"))
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
c.render_notebook()效果
来个玫瑰图比例差距更加明显！
代码语言：javascript复制x_data = Faker.choose()
y_data = Faker.values()
data_pair = [list(z) for z in zip(x_data, y_data)]
data_pair.sort(key=lambda x: x[1])
c=(
# 设置图片大小
Pie(init_opts=opts.InitOpts(width="1000px", height="500px"))
.add(
series_name="种类及占比",
data_pair=data_pair,
rosetype="radius",
label_opts=opts.LabelOpts(is_show=True, position="center"),
)
.set_global_opts(
title_opts=opts.TitleOpts(
title="玫瑰图",
pos_left="center",
pos_top="20",
),
legend_opts=opts.LegendOpts(is_show=True),
)
.set_series_opts(
tooltip_opts=opts.TooltipOpts(
# 设置触发显示的数据格式
trigger="item", formatter="{a} <br/>{b}: {c} ({d}%)"
),
label_opts=opts.LabelOpts(),
)
)
c.render_notebook()效果
两个玫瑰图怎么同时绘制呢？
代码语言：javascript复制v = Faker.choose()
c = (
Pie(init_opts=opts.InitOpts(width="1000px", height="500px"))
.add(
"",
[list(z) for z in zip(v, Faker.values())],
radius=["30%", "75%"],
center=["25%", "50%"],
rosetype="radius",
label_opts=opts.LabelOpts(is_show=True),
)
.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="玫瑰对比图"))
)
c.render_notebook()效果
来试一试环形图
代码语言：javascript复制c = (Pie()
.add(
"种类及占比",
[list(z) for z in zip(Faker.choose(), Faker.values())],
radius=["40%", "55%"],
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,
# 设置文字显示格式，底层逻辑较为复杂，可以将代码记下，使用时直接套用即可
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="环形图"))
)
c.render_notebook()效果
四个环形图排排坐展示一下~~
代码语言：javascript复制a=random.randint(0,100)
b=random.randint(0,100)
c=random.randint(0,100)
d=random.randint(0,100)
P = (
Pie(init_opts=opts.InitOpts(width="1000px", height="500px")
)
.add(
"",
[list(z) for z in zip(["A", "其他"], [a, 100-a])],
center=["20%", "30%"],
radius=[60, 80],
label_opts=new_label_opts(),
)
.add(
"",
[list(z) for z in zip(["B", "其他"], [b, 100-b])],
center=["55%", "30%"],
radius=[60, 80],
label_opts=new_label_opts(),
)
.add(
"",
[list(z) for z in zip(["C", "其他"], [c, 100-c])],
center=["20%", "70%"],
radius=[60, 80],
label_opts=new_label_opts(),
)
.add(
"",
[list(z) for z in zip(["D", "其他"], [d, 100-d])],
center=["55%", "70%"],
radius=[60, 80],
label_opts=new_label_opts(),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="多个环形图"),
legend_opts=opts.LegendOpts(
type_="scroll", pos_top="20%", pos_left="80%", orient="vertical"
),
)
)
P.render_notebook()
文章开头的嵌套图代码来啦~~
代码语言：javascript复制inner_x_data = Faker.choose()
inner_y_data = Faker.values()
inner_data_pair = [list(z) for z in zip(inner_x_data, inner_y_data)]
outer_x_data = Faker.choose()
outer_y_data = Faker.values()
outer_data_pair = [list(z) for z in zip(outer_x_data, outer_y_data)]
c=(
Pie(init_opts=opts.InitOpts())
.add(
series_name="种类及占比",
data_pair=inner_data_pair,
radius=[0, "30%"],
label_opts=opts.LabelOpts(position="inner"),
)
.add(
series_name="种类及占比",
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,
# 设置文字显示格式，底层逻辑较为复杂，可以将代码记下，使用时直接套用即可
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}%)"
)
)
)
c.render_notebook()可可爱爱的饼图就给大家展示完啦，感兴趣的小伙伴可以下来试一下，也期待大家做出更加精美的图和小编交流哦！
下次小编给大家带来更精彩的图表！敬请期待！
