python数据可视化简单实例

hdzgx 2019-12-28

展开全文

# python数据可视化笔记by skyliuhc```python

#画条状图
from pyecharts import Bar
bar =Bar("example chart1","副标题")
bar.add("成绩",["高数","大物","c语言","信号与系统"],[92,88,60,85])
bar.show_config()#打印输出图表的所有配置
bar.render()
#然后去到这个代码所在的文件夹里面找到render.html点开他就有图了，下同

```
{
"title": [
{
"text": "example chart1",
"subtext": "\u526f\u6807\u9898",
"left": "auto",
"top": "auto",
"textStyle": {
"color": "#000",
"fontSize": 18
},
"subtextStyle": {
"color": "#aaa",
"fontSize": 12
}
}
],
"toolbox": {
"show": true,
"orient": "vertical",
"left": "95%",
"top": "center",
"feature": {
"saveAsImage": {
"show": true,
"title": "\u4e0b\u8f7d\u56fe\u7247"
},
"restore": {
"show": true
},
"dataView": {
"show": true
}
}
},
"series_id": 8559168,
"tooltip": {
"trigger": "item",
"triggerOn": "mousemove|click",
"axisPointer": {
"type": "line"
},
"formatter": null,
"textStyle": {
"color": "#fff",
"fontSize": 14
},
"backgroundColor": "rgba(50,50,50,0.7)",
"borderColor": "#333",
"borderWidth": 0
},
"series": [
{
"type": "bar",
"name": "\u6210\u7ee9",
"data": [
92,
88,
60,
85
],
"stack": "",
"barCategoryGap": "20%",
"label": {
"normal": {
"show": false,
"position": "top",
"textStyle": {
"color": "#000",
"fontSize": 12
},
"formatter": null
},
"emphasis": {
"show": true,
"position": null,
"textStyle": {
"color": "#fff",
"fontSize": 12
}
}
},
"markPoint": {
"data": []
},
"markLine": {
"data": []
},
"seriesId": 8559168
}
],
"legend": [
{
"data": [
"\u6210\u7ee9"
],
"selectedMode": "multiple",
"show": true,
"left": "center",
"top": "top",
"orient": "horizontal",
"textStyle": {
"fontSize": 12,
"color": "#333"
}
}
],
"backgroundColor": "#fff",
"xAxis": [
{
"name": "",
"show": true,
"nameLocation": "middle",
"nameGap": 25,
"nameTextStyle": {
"fontSize": 14
},
"axisLabel": {
"interval": "auto",
"rotate": 0,
"margin": 8,
"textStyle": {
"fontSize": 12,
"color": "#000"
}
},
"axisTick": {
"alignWithLabel": false
},
"inverse": false,
"position": null,
"boundaryGap": true,
"min": null,
"max": null,
"data": [
"\u9ad8\u6570",
"\u5927\u7269",
"c\u8bed\u8a00",
"\u4fe1\u53f7\u4e0e\u7cfb\u7edf"
],
"type": "category"
}
],
"yAxis": [
{
"name": "",
"show": true,
"nameLocation": "middle",
"nameGap": 25,
"nameTextStyle": {
"fontSize": 14
},
"axisLabel": {
"formatter": "{value} ",
"rotate": 0,
"interval": "auto",
"margin": 8,
"textStyle": {
"fontSize": 12,
"color": "#000"
}
},
"axisTick": {
"alignWithLabel": false
},
"inverse": false,
"position": null,
"boundaryGap": true,
"min": null,
"max": null,
"splitLine": {
"show": true
},
"type": "value"
}
],
"color": [
"#c23531",
"#2f4554",
"#61a0a8",
"#d48265",
"#749f83",
"#ca8622",
"#bda29a",
"#6e7074",
"#546570",
"#c4ccd3",
"#f05b72",
"#ef5b9c",
"#f47920",
"#905a3d",
"#fab27b",
"#2a5caa",
"#444693",
"#726930",
"#b2d235",
"#6d8346",
"#ac6767",
"#1d953f",
"#6950a1",
"#918597",
"#f6f5ec"
]
}

柱状图数据堆叠和三维图

```python
# encoding: utf-8
#学完上述的简单例子之后让我们再练一个比较难的例子
#这个例子涉及到一个网页显示多个图用page
from pyecharts import Bar, Scatter3D
from pyecharts import Page
page = Page()         # step 1
# bar
attr = ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar = Bar("柱状图数据堆叠示例")
bar.add("商家A", attr, v1, is_stack=True)#is_stack表示是否对叠在一起
bar.add("商家B", attr, v2, is_stack=True)
page.add(bar)         # step 2
# scatter3D
import random
data = [[random.randint(0, 100), random.randint(0, 100), random.randint(0, 100)] for _ in range(80)]
range_color = ['#313695', '#4575b4', '#74add1', '#abd9e9', '#e0f3f8', '#ffffbf',
               '#fee090', '#fdae61', '#f46d43', '#d73027', '#a50026']
scatter3D = Scatter3D("3D 散点图示例", width=1200, height=600)
scatter3D.add("", data, is_visualmap=True, visual_range_color=range_color)
page.add(scatter3D)  # step 2
page.render()        # step 3

```

标记线和标记点实例
```python

from pyecharts import Bar
bar=Bar("标记线和标记点实例")
attr=["1","2","3","4","5","6"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
bar.add("charcter1",attr,v1,mark_point=["average"])#对于charcter1标出其平均值
bar.add("charater2",attr,v2,mark_line=["min","max"])#对于charcter2标出其最大，最小
bar.render()

x轴和y轴互换
```python

from pyecharts import Bar
bar=Bar("x轴和y轴互换")
bar.add("character1",attr,v1,mark_line=["min","max"])
bar.add("character2",attr,v2,is_convert=True,mark_line=["min","max"])
bar.render('sb.html')#网页你也是可以换名字，默认是render.html
#render 的英文意思有使成为这样就不难理解这个命令了

带有涟漪特效的散点图

```python

from pyecharts import EffectScatter
v1=[10,20,30,40,50,60]
v2=[10,20,30,40,50,60]
es=EffectScatter("动态散点演示")
es.add("散点图",v1,v2)
es.render('scatter.html')

动态散点图各种图形
``python

from pyecharts import EffectScatter
es=EffectScatter("动态散点图各种图形实例")
es.add("1",[10],[10],symbol_size=10,effect_scale=3.5,effect_period=3,symbol="pin")#大头针
es.add("2",[60],[60],symbol_size=15,effect_scale=3.5,effect_period=4,symbol="rect")#矩形
es.add("3",[20],[20],symbol_size=20,effect_scale=4.5,effect_period=5,symbol="roundRect")#圆边矩形
es.add("4",[30],[30],symbol_size=15,effect_scale=5.5,effect_period=6,effect_brushtype='fill',symbol="diamond")#钻石
es.add("5",[40],[40],symbol_size=15,effect_scale=6.5,effect_period=7,symbol="arrow")#弓形
es.add("6",[50],[50],symbol_size=15,effect_scale=5.5,effect_period=8,symbol="triangle")#三角形
es.render('dynamics_catter.html')

漏斗图

```python

from pyecharts import Funnel
attr=["美女","房子","车子","事业","家人","娱乐","数码产品"]
value=[80,90,50,100,150,40,180]
funnel=Funnel("男人心漏斗图")
funnel.add("因素",attr,value,is_label_show=True,label_pos="inside",label_text_color="#fff")
funnel.render('funnerl.html')```

仪表盘

```python

from pyecharts import Gauge#(Gauge计量表)
gauge=Gauge("仪表盘实例","大作业怎么办啊啊啊")
gauge.add("大作业","进度",10.00)
gauge.render('gauge.html')

折线图
```python

from pyecharts import Line
line=Line("折线图实例","不想学习")
attr=["1","2","3","4","5","6"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
line.add("charcter1",attr,v1,mark_point=["average"])#折线连接
line.add("charater2",attr,v2,is_smooth=True,mark_line=["min","max"])#平滑的曲线
line.render('line.html')

折线-阶梯图
```python

from pyecharts import Line
line=Line("折线图——阶梯实例","就是不想学习")
attr=["1","2","3","4","5","6"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
line.add("charcter1",attr,v1,is_step=True,is_label_show=True,mark_point=["average"])#折线连接+阶梯
line.add("charater2",attr,v2,is_smooth=True,mark_line=["min","max"])#平滑的曲线
line.render('line_step.html')

```
折线-面积图

```python

from pyecharts import Line
line=Line("折线图——面积实例","老子就是不想学习")
attr=["1","2","3","4","5","6"]
v1 = [5, 20, 36, 10, 75, 90]
v2 = [10, 25, 8, 60, 20, 80]
line.add("charcter1",attr,v1,is_fill=True,line_opacity=0.2,area_opacity=0.4,area_color='yellow',is_label_show=True,)#opacity 不透明度
line.add("charater2",attr,v2,is_fill=True,line_opacity=0.8,area_opacity=0.2,area_color='green',is_smooth=True,)#平滑的曲线
line.render('line_fill.html')

```
水球图
```python

from pyecharts import Liquid
liquid=Liquid("水球图实例","我想玩吃鸡")
liquid.add("Liquid",[0.8])
liquid.render('liquid.html')

```
饼图

```python

from pyecharts import Pie
attr=["吃鸡","lol","今日头条","qq","朋友圈","不想学习的时间又不玩手机"]
v1=[1,1,1,0.5,0.3,6]
pie=Pie("饼图实例/咸鱼")
pie.add("大饼",attr,v1,is_label_show=True)
pie.render('pie.html')

```
雷达图
```python

from pyecharts import Radar
schema=[("打人",7976),("骂人",16000),("咬人",30000),("捶人",38000),("恶心人",52000),("恨人",25000)]
v1=[[4300,10000,28000,35000,50000,19000]]
v2=[[0,0,0,0,0,0]]
radar=Radar("benben和chunchun对比")
radar.config(schema)
radar.add("chunchun",v1,is_splitLine=True,label_color=['blue'],is_axisline_show=True)
radar.add("benben",v2,label_color=['red'],is_area_show=False)
radar.render('radar.html')