pyecharts 十种图形演示
首先要安装模块
conda install pyecharts
或者
pip install pyecharts
具体的echarts操作和介绍可见官网echarts，我也推荐W3Cschool，而pyecharts可以参考pyecharts官网，很详尽。
再进行下面可视化的时候，首先都会引入options
from pyecharts import options as opts
一、仪表盘
代码：
from pyecharts.charts import Gauge
def gauge_base() -> Gauge:
c = (
Gauge(init_opts=opts.InitOpts(page_title="仪表盘-演示"))
.add(
"",
[("我的进化程度", 80)],
title_label_opts=opts.LabelOpts(horizontal_align="center")
)
.set_global_opts(title_opts=opts.TitleOpts(title="仪表盘演示", pos_left="center"))
)
return c
gauge_base().render()
效果：
二、漏斗图
代码：
from pyecharts.charts import Funnel
def funner_base() -> Funnel:
c = (
Funnel(init_opts=opts.InitOpts(page_title="漏斗图-演示"))
.add(
"funnel",
[z for z in zip(["第一阶段", "第二阶段", "第三阶段"], [10, 50, 80])],
label_opts=opts.LabelOpts(position="inside")
)
.set_global_opts(title_opts=opts.TitleOpts(title="漏斗图演示", pos_left="right"))
)
return c
funner_base().render()
效果：
三、图
代码：
from pyecharts.charts import Graph
def graph_base() -> Graph:
nodes = [
opts.GraphNode(name="节点0", symbol_size=80),
opts.GraphNode(name="节点1", symbol_size=60),
opts.GraphNode(name="节点2", symbol_size=60),
opts.GraphNode(name="节点3", symbol_size=60),
opts.GraphNode(name="节点4", symbol_size=60),
opts.GraphNode(name="节点1.1", symbol_size=40),
opts.GraphNode(name="节点1.2", symbol_size=40),
opts.GraphNode(name="节点1.3", symbol_size=40),
opts.GraphNode(name="节点1.4", symbol_size=40),
opts.GraphNode(name="节点3.1", symbol_size=40),
opts.GraphNode(name="节点3.2", symbol_size=40),
opts.GraphNode(name="节点3.3", symbol_size=40),
opts.GraphNode(name="节点3.4", symbol_size=40),
opts.GraphNode(name="节点3.3.1", symbol_size=20),
opts.GraphNode(name="节点3.3.2", symbol_size=20),
opts.GraphNode(name="节点3.3.3", symbol_size=20),
opts.GraphNode(name="节点3.3.4", symbol_size=20)
]
links = [
opts.GraphLink(source="节点0", target="节点1", value=1),
opts.GraphLink(source="节点0", target="节点2", value=1),
opts.GraphLink(source="节点0", target="节点3", value=1),
opts.GraphLink(source="节点0", target="节点4", value=1),
opts.GraphLink(source="节点1", target="节点1.1", value=2),
opts.GraphLink(source="节点1", target="节点1.2", value=2),
opts.GraphLink(source="节点1", target="节点1.3", value=2),
opts.GraphLink(source="节点1", target="节点1.4", value=2),
opts.GraphLink(source="节点3", target="节点3.1", value=2),
opts.GraphLink(source="节点3", target="节点3.2", value=2),
opts.GraphLink(source="节点3", target="节点3.3", value=2),
opts.GraphLink(source="节点3", target="节点3.4", value=2),
opts.GraphLink(source="节点3.3", target="节点3.3.1", value=3),
opts.GraphLink(source="节点3.3", target="节点3.3.2", value=3),
opts.GraphLink(source="节点3.3", target="节点3.3.3", value=3),
opts.GraphLink(source="节点3.3", target="节点3.3.4", value=3),
]
c = (
Graph(init_opts=opts.InitOpts(width="1080px", height="700px", page_title="图-演示"))
.add(
"graph",
nodes,
links,
label_opts=opts.LabelOpts(position="inside"),
repulsion=2000,
is_draggable=True,
layout="force",
symbol="roundRect",
edge_label=opts.LabelOpts(
is_show=True,
position="middle",
formatter="{b} "
)
)
.set_global_opts(title_opts=opts.TitleOpts(title="图演示", pos_left="center"))
)
return c
graph_base().render()
效果：
四、水球图
代码：
from pyecharts.charts import Liquid
def liquid_base() -> Liquid:
c = (
Liquid(init_opts=opts.InitOpts(page_title="水球图-演示"))
.add(
"liquid",
[0.78],
shape="rect"
)
.set_global_opts(title_opts=opts.TitleOpts(title="水球图", pos_left="center"))
)
return c
liquid_base().render()
效果：
五、饼图
代码：
from pyecharts.charts import Pie
def pie_base() -> Pie:
c = (
Pie(init_opts=opts.InitOpts(page_title="饼图-演示"))
.add(
"pie",
[("男人购物花费", 20), ("女人购物花费", 80)],
radius=["40%", "60%"],
center=["50%", "50%"],
label_opts=opts.LabelOpts(formatter="{b}:{c}%")
)
.set_global_opts(
title_opts=opts.TitleOpts(title="饼图", pos_left="center", pos_top="10%"),
legend_opts=opts.LegendOpts(orient="vertical", pos_right="20%", pos_top="50%")
)
)
return c
pie_base().render()
效果：
六、词云图
代码：
from pyecharts.charts import WordCloud
def wcloud_base() -> WordCloud:
words = [("我",10000), ("比尔盖茨",9000), ("索罗斯",8000), ("马云",7000), ("马化腾",6000), ("史玉柱",4000), ("王传福",900), ("*大大",10000), ("徐凤年",10000), ("洪敬岩",3000), ("王初冬",2000), ("剑来",1000)]
c = (
WordCloud(init_opts=opts.InitOpts(page_title="词云图-演示"))
.add(
"wordcloud",
words,
shape="cardioid"
)
.set_global_opts(title_opts=opts.TitleOpts(title="词云图", pos_left="center"))
)
return c
wcloud_base().render()
效果：
七、柱状图
代码：
from pyecharts.charts import Bar
from pyecharts.commons.utils import JsCode
def bar_base() -> Bar:
c = (
Bar(init_opts=opts.InitOpts(page_title="柱状图-演示"))
.add_xaxis(
["现有确诊/累计确诊", "现有疑似/累计治愈", "现有重症/累计死亡"]
)
.add_yaxis(
"",
[29994, 587, 6806]
)
.add_yaxis(
"",
[80303, 47362, 2947]
)
.set_series_opts(
itemstyle_opts={
"color":JsCode("""{
type: 'linear',
x: 0,
y: 0,
x2: 0,
y2: 1,
colorStops: [
{offset: 0, color: 'red'},
{offset: 1, color: 'blue'}
],
global: false
}"""
)
}
)
.set_global_opts(
title_opts=opts.TitleOpts(title="2020年03月03日疫情实时大数据", pos_left="center"),
legend_opts=opts.LegendOpts(orient="victical", pos_right="10%", pos_top="center")
)
)
return c
bar_base().render()
效果：
八、雷达图
代码：
from pyecharts.charts import Radar
def radar_base() -> Radar:
c = (
Radar(init_opts=opts.InitOpts(page_title="雷达图-演示"))
.add_schema(
schema=[
opts.RadarIndicatorItem(name="编程水平", max_=100),
opts.RadarIndicatorItem(name="数学基本功", max_=100),
opts.RadarIndicatorItem(name="记忆力", max_=100),
opts.RadarIndicatorItem(name="理解力", max_=100),
opts.RadarIndicatorItem(name="自学能力", max_=100),
opts.RadarIndicatorItem(name="抗压能力", max_=100)
],
shape="circle"
)
.add(
"我的表现",
[[60, 65, 30, 55, 75, 70]],
areastyle_opts=opts.AreaStyleOpts(opacity=0.1)
)
.add(
"平均水平",
[[60, 60, 60, 60, 60, 60]],
linestyle_opts=opts.LineStyleOpts(width=2, color='blue')
)
.set_global_opts(
title_opts=opts.TitleOpts(title="雷达图", pos_left="center"),
legend_opts=opts.LegendOpts(pos_right="20%", pos_top="10%", orient="vectical")
)
)
return c
radar_base().render()
效果：
九、旭日图
其实就是日头爆炸图
代码：
from pyecharts.charts import Sunburst
def sunburst_base() -> Sunburst:
data = [
opts.SunburstItem(
name="数据采集",
children=[
opts.SunburstItem(name="爬虫", value=50),
opts.SunburstItem(name="交换共享", value=20),
opts.SunburstItem(name="第三方购买", value=20),
opts.SunburstItem(name="其他方式", value=10)
]
),
opts.SunburstItem(
name="数据存储",
children=[
opts.SunburstItem(name="关系型数据库", value=60),
opts.SunburstItem(name="键值存储库", value=10),
opts.SunburstItem(name="列式存储库", value=10),
opts.SunburstItem(name="面向文档数据库", value=10),
opts.SunburstItem(name="图数据库", value=10)
]
),
opts.SunburstItem(
name="数据处理",
children=[
opts.SunburstItem(name="空值填充", value=20),
opts.SunburstItem(name="异常值处理", value=20),
opts.SunburstItem(name="新增特征", value=20),
opts.SunburstItem(name="热编码", value=20),
opts.SunburstItem(name="标准化处理", value=20)
]
),
opts.SunburstItem(
name="数据统计分析",
children=[
opts.SunburstItem(name="描述性分析", value=30),
opts.SunburstItem(name="多维度统计", value=40),
opts.SunburstItem(name="对比统计", value=30)
]
),
opts.SunburstItem(
name="数据挖掘",
children=[
opts.SunburstItem(name="分类", value=30),
opts.SunburstItem(name="预测", value=30),
opts.SunburstItem(name="聚类", value=20),
opts.SunburstItem(name="回归", value=20)
]
),
opts.SunburstItem(
name="数据展示",
children=[
opts.SunburstItem(name="大屏展示", value=20),
opts.SunburstItem(name="系统页面展示", value=40),
opts.SunburstItem(name="报告展示", value=40),
]
),
opts.SunburstItem(
name="数据产品应用",
children=[
opts.SunburstItem(name="推荐系统", value=30),
opts.SunburstItem(name="翻译系统", value=20),
opts.SunburstItem(name="自动驾驶", value=15),
opts.SunburstItem(name="人脸识别", value=15),
opts.SunburstItem(name="图片识别文字", value=20)
]
)
]
c = (
Sunburst(init_opts=opts.InitOpts(page_title="旭日图-演示"))
.add(
"sunburst",
data,
radius=["20%", "85%"]
)
.set_global_opts(title_opts=opts.TitleOpts(title="旭日图", pos_left="center"))
)
return c
sunburst_base().render()
效果：
更多情况可以参考ecahrts官网或pyecharts官网，还推荐一个echarts社区，里面有很多富有创意的可视化