Python基础|Python基础之数字化大屏
在公司内部或前台，有时需要展示数字化看板，展示公司的业务信息。看着别的公司展示的炫酷的数字化大屏，是否很羡慕？本文以Python+flask+jQuery+eCharts，简述如何开发数字化大屏进行数据展示，仅供学习分享使用，如有不足之处，还请指正。
涉及知识点
- Python+flask开发web系统，实现数据传输。
- jQuery通过ajax技术，实现数据的异步通信，局部刷新。
- eCharts进行图表的展示（包括柱状图，折线图，地图等）。
- html+css页面布局等技术。
文章图片
页面设计 为了数据展示，将数字化大屏页面分为8个部分（标题，时间，左1，左2，中1，中2，右1，右2）如下所示：
文章图片
页面布局核心代码，如下所示：
数字化大屏 - 锐客网
某某公司数字化大屏这里是左侧边栏1
这里是左侧边栏21123
234
1345
456
累计生产
剩余生产
累计销售
累计返厂这里是右侧边栏1
这里是右侧边栏2
核心代码 后台数据
在本例中，flask做为web开发框架，提供了一个轻量级的实现web服务的功能。另本为了演示，实现了部分功能，其他则为静态数据，如下所示：
from flask import Flask
from flask import request
from flask import render_template
from flask import jsonify
import randomapp = Flask(__name__)@app.route('/main')
def main():
return render_template('main.html')@app.route('/get_c1_data', methods=['get', 'post'])
def get_c1_data():
"""获取C1数据"""
total_confirmed = random.randint(0, 10000)# 累计生产
remain_suspect = random.randint(0, 5000)# 剩余生产
total_cure = random.randint(0, 10000)# 累计销售
total_dead = random.randint(0, 200)# 累计返厂
return jsonify({"total_confirmed": total_confirmed, "remain_suspect": remain_suspect, "total_cure": total_cure,
"total_dead": total_dead})if __name__ == '__main__':
app.run()注意：jQuery进行ajax数据访问，返回的json格式的数据，所以引入flask中的jsonify模块，进行数据转换。
ajax访问
在本例中，为了实现局部刷新，采用ajax的方式进行访问，如下所示：
图表展示
在本例中，展示了多种图表，且各自独立，为了方便起见，将各个模块的图表，单独保存在js文件中。
折线图（累计趋势图）
var left1 = document.getElementById('left1');
var ec_left1 = echarts.init(left1,'dark');
var ec_left1_option;
ec_left1_option = {
title: {
text: '某某产品累计趋势',
left:'left'
},
tooltip: {
trigger: 'axis'
},
legend: {
data: ['累计生产', '剩余生产', '累计销售', '累计返厂'],
left:'right'
},
grid: {
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true
},
// toolbox: {
//feature: {
//saveAsImage: {}
//}
// },
xAxis: {
type: 'category',
boundaryGap: false,
data: ['09-24', '09-25', '09-26', '09-27', '09-28', '09-29', '09-30']
},
yAxis: {
type: 'value'
},
series: [
{
name: '累计生产',
type: 'line',
//stack: 'Total',
data: [120, 132, 101, 134, 90, 230, 210]
},
{
name: '剩余生产',
type: 'line',
//stack: 'Total',
data: [220, 182, 191, 234, 290, 330, 310]
},
{
name: '累计销售',
type: 'line',
//stack: 'Total',
data: [150, 232, 201, 154, 190, 330, 410]
},
{
name: '累计返厂',
type: 'line',
//stack: 'Total',
data: [320, 332, 301, 334, 390, 330, 320]
}
]
};
ec_left1_option && ec_left1.setOption(ec_left1_option);
折线（新增趋势图）
var left2 = document.getElementById('left2');
var ec_left2 = echarts.init(left2,'dark');
var ec_left2_option;
ec_left2_option = {
title: {
text: '某某公司产品新增趋势',
left:'left'
},
tooltip: {
trigger: 'axis'
},
legend: {
data: ['每日数量', '每日累计'],
left:'right'
},
grid: {
left: '3%',
right: '4%',
bottom: '3%',
containLabel: true
},
// toolbox: {
//feature: {
//saveAsImage: {}
//}
// },
xAxis: {
type: 'category',
boundaryGap: false,
data: ['09-24', '09-25', '09-26', '09-27', '09-28', '09-29', '09-30']
},
yAxis: {
type: 'value'
},
series: [
{
name: '每日数量',
type: 'line',
//stack: 'Total',
data: [120, 132, 101, 134, 90, 230, 210]
},
{
name: '每日累计',
type: 'line',
//stack: 'Total',
data: [320, 332, 301, 334, 390, 330, 320]
}
]
};
ec_left2_option && ec_left2.setOption(ec_left2_option);
柱状图
var right1 = document.getElementById('right1');
var ec_right1 = echarts.init(right1,'dark');
var ec_right1_option;
ec_right1_option = {
title: {
text: '非重点城市销售Top5',
left:'center'
},
xAxis: {
type: 'category',
data: ['广东', '河南', '江苏', '湖南', '河北', '沈阳', '吉林']
},
yAxis: {
type: 'value'
},
series: [
{
data: [120, 200, 150, 80, 70, 110, 130],
type: 'bar'
}
]
};
ec_right1_option && ec_right1.setOption(ec_right1_option);
圆盘转速图
var right2 = document.getElementById('right2');
var ec_right2 = echarts.init(right2,'dark');
var ec_right2_option;
ec_right2_option = {
backgroundColor: '#333',
// tooltip: {
//formatter: '{a}
{b} : {c}%'
// },
// toolbox: {
//feature: {
//restore: {},
//saveAsImage: {}
//}
// },
series: [
// left
{
name: 'gauge 0',
type: 'gauge',
min: -200,
max: 250,
startAngle: -30,
endAngle: -315,
splitNumber: 9,
radius: '35%',
center: ['21%', '55%'],
axisLine: {
lineStyle: {
color: [[1, '#AE96A6']]
}
},
splitLine: {
show: false
},
axisTick: {
show: false
},
axisLabel: {
show: false
},
anchor: {},
pointer: {
show: false
},
detail: {
show: false
},
title: {
fontSize: 8,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff',
offsetCenter: [0, '-60%']
},
progress: {
show: true,
width: 3,
itemStyle: {
color: '#fff'
}
},
data: [
{
value: 250,
name: 'km/h'
}
]
},
{
name: 'gauge 1',
type: 'gauge',
min: 0,
max: 250,
startAngle: -140,
endAngle: -305,
splitNumber: 5,
radius: '35%',
center: ['21%', '55%'],
axisLine: {
lineStyle: {
color: [[1, '#AE96A6']]
}
},
splitLine: {
distance: -7,
length: 12,
lineStyle: {
color: '#fff',
width: 4
}
},
axisTick: {
distance: -8,
length: 8,
lineStyle: {
color: '#fff',
width: 2
}
},
axisLabel: {
distance: 14,
fontSize: 10,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff'
},
anchor: {},
pointer: {
icon: 'path://M-36.5,23.9L-41,4.4c-0.1-0.4-0.4-0.7-0.7-0.7c-0.5-0.1-1.1,0.2-1.2,0.7l-4.5,19.5c0,0.1,0,0.1,0,0.2v92.3c0,0.6,0.4,1,1,1h9c0.6,0,1-0.4,1-1V24.1C-36.5,24-36.5,23.9-36.5,23.9z M-39.5,114.6h-5v-85h5V114.6z',
width: 5,
length: '40%',
offsetCenter: [0, '-58%'],
itemStyle: {
color: '#f00',
shadowColor: 'rgba(255, 0, 0)',
shadowBlur: 5,
shadowOffsetY: 2
}
},
title: {
color: '#fff',
fontSize: 14,
fontWeight: 800,
fontFamily: 'Arial',
offsetCenter: [0, 0]
},
detail: {
show: false
},
data: [
{
value: 0,
name: '当前位置：\n \n 中科路'
}
]
},
// middle
{
name: 'gauge 2',
type: 'gauge',
min: 0,
max: 8,
z: 10,
startAngle: 210,
endAngle: -30,
splitNumber: 8,
radius: '50%',
center: ['50%', '50%'],
axisLine: {
show: true,
lineStyle: {
width: 0,
color: [
[0.825, '#fff'],
[1, '#f00']
]
}
},
splitLine: {
distance: 20,
length: 15,
lineStyle: {
color: 'auto',
width: 4,
shadowColor: 'rgba(255, 255, 255, 0.5)',
shadowBlur: 15,
shadowOffsetY: -10
}
},
axisTick: {
distance: 20,
length: 8,
lineStyle: {
color: 'auto',
width: 2,
shadowColor: 'rgba(255, 255, 255)',
shadowBlur: 10,
shadowOffsetY: -10
}
},
axisLabel: {
distance: 10,
fontSize: 15,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff'
},
anchor: {},
pointer: {
icon: 'path://M-36.5,23.9L-41,4.4c-0.1-0.4-0.4-0.7-0.7-0.7c-0.5-0.1-1.1,0.2-1.2,0.7l-4.5,19.5c0,0.1,0,0.1,0,0.2v92.3c0,0.6,0.4,1,1,1h9c0.6,0,1-0.4,1-1V24.1C-36.5,24-36.5,23.9-36.5,23.9z M-39.5,114.6h-5v-85h5V114.6z',
width: 10,
offsetCenter: [0, '-10%'],
length: '75%',
itemStyle: {
color: '#f00',
shadowColor: 'rgba(255, 0, 0)',
shadowBlur: 5,
shadowOffsetY: 3
}
},
title: {
color: '#fff',
fontSize: 12,
fontWeight: 800,
fontFamily: 'Arial',
offsetCenter: [0, '-30%']
},
data: [
{
value: 0.6,
name: '1/min x 1000'
}
],
detail: {
show: false
}
},
{
name: 'gauge 3',
type: 'gauge',
min: 0,
max: 8,
z: 10,
splitNumber: 8,
radius: '50%',
axisLine: {
lineStyle: {
width: 14,
color: [[1, '#000']]
}
},
splitLine: {
show: false
},
axisTick: {
show: false
},
axisLabel: {
show: false
},
anchor: {},
pointer: {
show: false
},
title: {
show: false
},
detail: {
offsetCenter: ['25%', '50%'],
formatter: '{a|{value}}{b|km/h}',
rich: {
a: {
fontSize: 20,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff',
align: 'center',
padding: [0, 5, 0, 0]
},
b: {
fontSize: 14,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff',
padding: [0, 0, 20, 0]
}
}
},
// value is speed
data: [
{
value: 0,
name: ''
}
]
},
//right
{
name: 'gauge 4',
type: 'gauge',
min: 0,
max: 8,
startAngle: 135,
endAngle: -150,
splitNumber: 8,
radius: '35%',
center: ['79%', '55%'],
axisLine: {
lineStyle: {
color: [[1, '#AE96A6']]
}
},
splitLine: {
show: false
},
axisTick: {
show: false
},
axisLabel: {
show: false
},
anchor: {},
pointer: {
show: false
},
title: {},
detail: {
offsetCenter: ['-15%', 0],
formatter: [
'{a|00:00}',
'{a|行驶时间0:00}{b| h}',
'{a|行驶距离0.0}{b| km}',
'{a|平均耗能---}{b| 1/100km}',
'{a|平均速度---}{b| km/h}'
].join('\n'),
rich: {
a: {
fontSize: 10,
fontWeight: 800,
fontFamily: 'Arial',
lineHeight: 22,
color: '#fff',
align: 'left'
},
b: {
fontWeight: 600,
fontFamily: 'Arial',
lineHeight: 22,
color: '#fff',
align: 'left'
}
}
},
progress: {
show: true,
width: 3,
itemStyle: {
color: '#fff'
}
},
data: [
{
value: 250,
name: ''
}
]
},
{
name: 'gauge 5',
type: 'gauge',
min: 0,
max: 1,
startAngle: 125,
endAngle: 55,
splitNumber: 2,
radius: '34%',
center: ['79%', '55.3%'],
axisLine: {
lineStyle: {
width: 9,
color: [
[0.15, '#f00'],
[1, 'rgba(255, 0, 0, 0)']
]
}
},
splitLine: {
distance: -14,
length: 16,
lineStyle: {
color: '#fff',
width: 4
}
},
axisTick: {
distance: -14,
length: 10,
lineStyle: {
color: '#fff',
width: 2
}
},
axisLabel: {
distance: 12,
fontSize: 10,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff',
formatter: function (value) {
if (value =https://www.it610.com/article/== 0.5) {
return'2/4';
}
if (value =https://www.it610.com/article/== 1) {
return'4/4';
}
return value + '';
}
},
progress: {
show: true,
width: 5,
itemStyle: {
color: '#fff'
}
},
anchor: {
show: true,
itemStyle: {},
offsetCenter: ['-22%', '-57%'],
size: 18,
icon: 'path://M1.11979167,1.11111112 C1.11979167,0.497461393 1.61725306,0 2.23090279,0 L12.2309028,0 C12.8445525,1.43824153e-08 13.3420139,0.497461403 13.3420139,1.11111112 L13.3420139,10 L15.5642361,10 C16.7915356,10 17.7864583,10.9949228 17.7864583,12.2222222 L17.7864583,16.6666667 C17.7865523,17.28025 18.2839861,17.7776077 18.8975694,17.7776077 C19.5111527,17.7776077 20.0085866,17.28025 20.0086805,16.6666667 L20.0086805,8.88888888 L17.7864583,8.88888888 C17.1728086,8.88888888 16.6753472,8.3914275 16.6753472,7.77777779 L16.6753472,3.79333333 L15.6197917,2.73777777 C15.1859413,2.30392741 15.1859413,1.60051702 15.6197917,1.16666667 L15.6197917,1.16666667 C16.053642,0.732816318 16.7570524,0.732816318 17.1909028,1.16666667 L21.9053472,5.88111112 C22.1140468,6.08922811 22.2312072,6.37193273 22.2309028,6.66666667 L22.2309028,16.6666667 C22.2309028,18.5076158 20.7385186,20 18.8975695,20 C17.0566203,20 15.5642361,18.5076158 15.5642361,16.6666667 L15.5642361,12.2222222 L13.3420139,12.2222222 L13.3420139,17.7777778 L13.3420139,17.7777778 C13.9556636,17.7777778 14.453125,18.2752392 14.453125,18.8888889 L14.453125,18.8888889 C14.453125,19.5025386 13.9556636,20 13.3420139,20 L1.11979165,20 C0.506141934,20 0.00868054688,19.5025386 0.00868054687,18.8888889 L0.00868054687,18.8888889 C0.00868054688,18.2752392 0.506141934,17.7777778 1.11979165,17.7777778 L1.11979167,17.7777778 L1.11979167,1.11111112 Z M3.34201388,2.22222221 L3.34201388,8.88888888 L11.1197917,8.88888888 L11.1197917,2.22222221 L3.34201388,2.22222221 Z'
},
pointer: {
show: false
},
title: {},
detail: {
offsetCenter: ['10%', '-56%'],
formatter: '{a|831}{b| km}',
rich: {
a: {
fontSize: 15,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff'
},
b: {
fontWeight: 600,
fontFamily: 'Arial',
color: '#fff'
}
}
},
data: [
{
value: 0.85,
name: ''
}
]
},
{
name: 'gauge 6',
type: 'gauge',
min: -120,
max: -60,
startAngle: 230,
endAngle: 310,
clockwise: false,
splitNumber: 2,
radius: '35%',
center: ['79%', '55%'],
axisLine: {
lineStyle: {
color: [
[1, '#AE96A6'],
[1.1, '#f00']
]
}
},
splitLine: {
distance: -8,
length: 12,
lineStyle: {
color: '#fff',
width: 4
}
},
axisTick: {
splitNumber: 3,
length: 8,
distance: -8,
lineStyle: {
color: '#fff',
width: 2
}
},
axisLabel: {
distance: 14,
fontSize: 10,
fontWeight: 800,
fontFamily: 'Arial',
color: '#fff',
formatter: function (value) {
return -value + '';
}
},
anchor: {
show: true,
itemStyle: {},
offsetCenter: [0, '55%'],
size: 20,
icon: 'path://M-34.1-1.1L-34.1-1.1c0-0.3-0.3-0.6-0.6-0.6h-3.6v-1.5c0-0.5-0.2-0.9-0.6-1.1s-0.9-0.2-1.3,0c-0.4,0.2-0.6,0.7-0.6,1.1V7.9c0,0,0,0.1,0,0.1c-0.8,0.5-1.2,1.5-0.9,2.5c0.3,0.9,1.1,1.6,2.1,1.6c1,0,1.8-0.6,2.1-1.5c0.3-0.9,0-1.9-0.8-2.5V6.3h3.5c0.4,0,0.7-0.3,0.7-0.7l0,0c0-0.4-0.3-0.7-0.7-0.7h-3.5V2.9h3.5c0.4,0,0.7-0.3,0.7-0.7l0,0c0-0.4-0.3-0.7-0.7-0.7h-3.5v-2.1h3.6C-34.4-0.5-34.1-0.8-34.1-1.1z M-44.9,11.6c-0.7,0-1.4-0.2-2-0.6c-0.4-0.3-0.9-0.4-1.4-0.4c-0.4,0-0.9,0.2-1.2,0.4c-0.4,0.2-1.4-0.9-0.9-1.3c0.6-0.4,1.3-0.6,2-0.7c0.8,0,1.5,0.2,2.2,0.5c0.4,0.3,0.9,0.4,1.3,0.4c0.6,0,1.1-0.2,1.5-0.6s1.6,0.7,0.9,1.3S-44,11.6-44.9,11.6L-44.9,11.6z M-34.3,11.6c-0.7,0-1.4-0.3-2-0.7c-0.6-0.4,0.5-1.6,0.9-1.3s0.8,0.4,1.2,0.4c0.5,0,1-0.1,1.4-0.4c0.6-0.3,1.3-0.5,2-0.6h0c0.9,0,1.7,0.3,2.4,0.9c0.7,0.5-0.5,1.6-0.9,1.3c-0.4-0.3-1-0.6-1.5-0.6h0c-0.5,0-0.9,0.2-1.3,0.4c-0.6,0.3-1.3,0.5-2,0.6H-34.3z M-33.5,16.3c-0.7,0-1.4-0.3-1.9-0.8c-0.4-0.3-0.6-0.5-1-0.5c-0.4,0-0.7,0.2-1,0.4c-0.6,0.5-1.3,0.7-2,0.7c-0.7,0-1.4-0.3-1.9-0.8c-0.2-0.3-0.6-0.4-0.9-0.4c-0.4,0-0.7,0.1-1.1,0.5c-0.6,0.5-1.3,0.7-2.1,0.7c-0.7-0.1-1.4-0.4-1.9-0.9c-0.4-0.3-0.6-0.5-1-0.5c-0.3,0-0.6,0.2-0.9,0.4s-1.6-0.7-1.1-1.2c0.5-0.5,1.2-0.8,1.9-0.9c1-0.1,1.6,0.4,2.1,0.8c0.3,0.3,0.6,0.5,1,0.5c0.4,0,0.6-0.1,1-0.4c0.6-0.5,1.4-0.8,2.1-0.8c0.7,0,1.4,0.3,1.9,0.8c0.2,0.2,0.6,0.4,0.9,0.4c0.4,0,0.6-0.1,1-0.4c0.6-0.5,1.3-0.7,2-0.7c0.8,0,1.5,0.3,2,0.9c0.4,0.3,0.6,0.4,0.9,0.4c0.3,0,0.7-0.2,1.1-0.5c0.5-0.4,1.2-0.9,2.3-0.8c0.7,0,1.4,0.3,1.9,0.7c0.5,0.4-0.7,1.5-1,1.3s-0.6-0.4-1-0.4c-0.4,0-0.7,0.2-1.2,0.5C-32,15.9-32.7,16.2-33.5,16.3L-33.5,16.3z'
},
pointer: {
icon: 'path://M2.9,0.7L2.9,0.7c1.4,0,2.6,1.2,2.6,2.6v115c0,1.4-1.2,2.6-2.6,2.6l0,0c-1.4,0-2.6-1.2-2.6-2.6V3.3C0.3,1.9,1.4,0.7,2.9,0.7z',
width: 15,
length: '4',
offsetCenter: [0, '-90%'],
itemStyle: {
color: '#f00'
}
},
title: {},
detail: {
show: false
},
data: [
{
value: -120,
name: ''
}
]
}
]
};
ec_right2_option && ec_right2.setOption(ec_right2_option);
中国地图
// var echarts = require('echarts');
const data = https://www.it610.com/article/[
{ name:'海门', value: 9 },
{ name: '鄂尔多斯', value: 12 },
{ name: '招远', value: 12 },
{ name: '舟山', value: 12 },
{ name: '齐齐哈尔', value: 14 },
{ name: '盐城', value: 15 },
{ name: '赤峰', value: 16 },
{ name: '青岛', value: 18 },
{ name: '乳山', value: 18 },
{ name: '金昌', value: 19 },
{ name: '泉州', value: 21 },
{ name: '莱西', value: 21 },
{ name: '日照', value: 21 },
{ name: '胶南', value: 22 },
{ name: '南通', value: 23 },
{ name: '拉萨', value: 24 },
{ name: '云浮', value: 24 },
{ name: '梅州', value: 25 },
{ name: '文登', value: 25 },
{ name: '上海', value: 25 },
{ name: '攀枝花', value: 25 },
{ name: '威海', value: 25 },
{ name: '承德', value: 25 },
{ name: '厦门', value: 26 },
{ name: '汕尾', value: 26 },
{ name: '潮州', value: 26 },
{ name: '丹东', value: 27 },
{ name: '太仓', value: 27 },
{ name: '曲靖', value: 27 },
{ name: '烟台', value: 28 },
{ name: '福州', value: 29 },
{ name: '瓦房店', value: 30 },
{ name: '即墨', value: 30 },
{ name: '抚顺', value: 31 },
{ name: '玉溪', value: 31 },
{ name: '张家口', value: 31 },
{ name: '阳泉', value: 31 },
{ name: '莱州', value: 32 },
{ name: '湖州', value: 32 },
{ name: '汕头', value: 32 },
{ name: '昆山', value: 33 },
{ name: '宁波', value: 33 },
{ name: '湛江', value: 33 },
{ name: '揭阳', value: 34 },
{ name: '荣成', value: 34 },
{ name: '连云港', value: 35 },
{ name: '葫芦岛', value: 35 },
{ name: '常熟', value: 36 },
{ name: '东莞', value: 36 },
{ name: '河源', value: 36 },
{ name: '淮安', value: 36 },
{ name: '泰州', value: 36 },
{ name: '南宁', value: 37 },
{ name: '营口', value: 37 },
{ name: '惠州', value: 37 },
{ name: '江阴', value: 37 },
{ name: '蓬莱', value: 37 },
{ name: '韶关', value: 38 },
{ name: '嘉峪关', value: 38 },
{ name: '广州', value: 38 },
{ name: '延安', value: 38 },
{ name: '太原', value: 39 },
{ name: '清远', value: 39 },
{ name: '中山', value: 39 },
{ name: '昆明', value: 39 },
{ name: '寿光', value: 40 },
{ name: '盘锦', value: 40 },
{ name: '长治', value: 41 },
{ name: '深圳', value: 41 },
{ name: '珠海', value: 42 },
{ name: '宿迁', value: 43 },
{ name: '咸阳', value: 43 },
{ name: '铜川', value: 44 },
{ name: '平度', value: 44 },
{ name: '佛山', value: 44 },
{ name: '海口', value: 44 },
{ name: '江门', value: 45 },
{ name: '章丘', value: 45 },
{ name: '肇庆', value: 46 },
{ name: '大连', value: 47 },
{ name: '临汾', value: 47 },
{ name: '吴江', value: 47 },
{ name: '石嘴山', value: 49 },
{ name: '沈阳', value: 50 },
{ name: '苏州', value: 50 },
{ name: '茂名', value: 50 },
{ name: '嘉兴', value: 51 },
{ name: '长春', value: 51 },
{ name: '胶州', value: 52 },
{ name: '银川', value: 52 },
{ name: '张家港', value: 52 },
{ name: '三门峡', value: 53 },
{ name: '锦州', value: 54 },
{ name: '南昌', value: 54 },
{ name: '柳州', value: 54 },
{ name: '三亚', value: 54 },
{ name: '自贡', value: 56 },
{ name: '吉林', value: 56 },
{ name: '阳江', value: 57 },
{ name: '泸州', value: 57 },
{ name: '西宁', value: 57 },
{ name: '宜宾', value: 58 },
{ name: '呼和浩特', value: 58 },
{ name: '成都', value: 58 },
{ name: '大同', value: 58 },
{ name: '镇江', value: 59 },
{ name: '桂林', value: 59 },
{ name: '张家界', value: 59 },
{ name: '宜兴', value: 59 },
{ name: '北海', value: 60 },
{ name: '西安', value: 61 },
{ name: '金坛', value: 62 },
{ name: '东营', value: 62 },
{ name: '牡丹江', value: 63 },
{ name: '遵义', value: 63 },
{ name: '绍兴', value: 63 },
{ name: '扬州', value: 64 },
{ name: '常州', value: 64 },
{ name: '潍坊', value: 65 },
{ name: '重庆', value: 66 },
{ name: '台州', value: 67 },
{ name: '南京', value: 67 },
{ name: '滨州', value: 70 },
{ name: '贵阳', value: 71 },
{ name: '无锡', value: 71 },
{ name: '本溪', value: 71 },
{ name: '克拉玛依', value: 72 },
{ name: '渭南', value: 72 },
{ name: '马鞍山', value: 72 },
{ name: '宝鸡', value: 72 },
{ name: '焦作', value: 75 },
{ name: '句容', value: 75 },
{ name: '北京', value: 79 },
{ name: '徐州', value: 79 },
{ name: '衡水', value: 80 },
{ name: '包头', value: 80 },
{ name: '绵阳', value: 80 },
{ name: '乌鲁木齐', value: 84 },
{ name: '枣庄', value: 84 },
{ name: '杭州', value: 84 },
{ name: '淄博', value: 85 },
{ name: '鞍山', value: 86 },
{ name: '溧阳', value: 86 },
{ name: '库尔勒', value: 86 },
{ name: '安阳', value: 90 },
{ name: '开封', value: 90 },
{ name: '济南', value: 92 },
{ name: '德阳', value: 93 },
{ name: '温州', value: 95 },
{ name: '九江', value: 96 },
{ name: '邯郸', value: 98 },
{ name: '临安', value: 99 },
{ name: '兰州', value: 99 },
{ name: '沧州', value: 100 },
{ name: '临沂', value: 103 },
{ name: '南充', value: 104 },
{ name: '天津', value: 105 },
{ name: '富阳', value: 106 },
{ name: '泰安', value: 112 },
{ name: '诸暨', value: 112 },
{ name: '郑州', value: 113 },
{ name: '哈尔滨', value: 114 },
{ name: '聊城', value: 116 },
{ name: '芜湖', value: 117 },
{ name: '唐山', value: 119 },
{ name: '平顶山', value: 119 },
{ name: '邢台', value: 119 },
{ name: '德州', value: 120 },
{ name: '济宁', value: 120 },
{ name: '荆州', value: 127 },
{ name: '宜昌', value: 130 },
{ name: '义乌', value: 132 },
{ name: '丽水', value: 133 },
{ name: '洛阳', value: 134 },
{ name: '秦皇岛', value: 136 },
{ name: '株洲', value: 143 },
{ name: '石家庄', value: 147 },
{ name: '莱芜', value: 148 },
{ name: '常德', value: 152 },
{ name: '保定', value: 153 },
{ name: '湘潭', value: 154 },
{ name: '金华', value: 157 },
{ name: '岳阳', value: 169 },
{ name: '长沙', value: 175 },
{ name: '衢州', value: 177 },
{ name: '廊坊', value: 193 },
{ name: '菏泽', value: 194 },
{ name: '合肥', value: 229 },
{ name: '武汉', value: 273 },
{ name: '大庆', value: 279 }
];
const geoCoordMap = {
海门: [121.15, 31.89],
鄂尔多斯: [109.781327, 39.608266],
招远: [120.38, 37.35],
舟山: [122.207216, 29.985295],
齐齐哈尔: [123.97, 47.33],
盐城: [120.13, 33.38],
赤峰: [118.87, 42.28],
青岛: [120.33, 36.07],
乳山: [121.52, 36.89],
金昌: [102.188043, 38.520089],
泉州: [118.58, 24.93],
莱西: [120.53, 36.86],
日照: [119.46, 35.42],
胶南: [119.97, 35.88],
南通: [121.05, 32.08],
拉萨: [91.11, 29.97],
云浮: [112.02, 22.93],
梅州: [116.1, 24.55],
文登: [122.05, 37.2],
上海: [121.48, 31.22],
攀枝花: [101.718637, 26.582347],
威海: [122.1, 37.5],
承德: [117.93, 40.97],
厦门: [118.1, 24.46],
汕尾: [115.375279, 22.786211],
潮州: [116.63, 23.68],
丹东: [124.37, 40.13],
太仓: [121.1, 31.45],
曲靖: [103.79, 25.51],
烟台: [121.39, 37.52],
福州: [119.3, 26.08],
瓦房店: [121.979603, 39.627114],
即墨: [120.45, 36.38],
抚顺: [123.97, 41.97],
玉溪: [102.52, 24.35],
张家口: [114.87, 40.82],
阳泉: [113.57, 37.85],
莱州: [119.942327, 37.177017],
湖州: [120.1, 30.86],
汕头: [116.69, 23.39],
昆山: [120.95, 31.39],
宁波: [121.56, 29.86],
湛江: [110.359377, 21.270708],
揭阳: [116.35, 23.55],
荣成: [122.41, 37.16],
连云港: [119.16, 34.59],
葫芦岛: [120.836932, 40.711052],
常熟: [120.74, 31.64],
东莞: [113.75, 23.04],
河源: [114.68, 23.73],
淮安: [119.15, 33.5],
泰州: [119.9, 32.49],
南宁: [108.33, 22.84],
营口: [122.18, 40.65],
惠州: [114.4, 23.09],
江阴: [120.26, 31.91],
蓬莱: [120.75, 37.8],
韶关: [113.62, 24.84],
嘉峪关: [98.289152, 39.77313],
广州: [113.23, 23.16],
延安: [109.47, 36.6],
太原: [112.53, 37.87],
清远: [113.01, 23.7],
中山: [113.38, 22.52],
昆明: [102.73, 25.04],
寿光: [118.73, 36.86],
盘锦: [122.070714, 41.119997],
长治: [113.08, 36.18],
深圳: [114.07, 22.62],
珠海: [113.52, 22.3],
宿迁: [118.3, 33.96],
咸阳: [108.72, 34.36],
铜川: [109.11, 35.09],
平度: [119.97, 36.77],
佛山: [113.11, 23.05],
海口: [110.35, 20.02],
江门: [113.06, 22.61],
章丘: [117.53, 36.72],
肇庆: [112.44, 23.05],
大连: [121.62, 38.92],
临汾: [111.5, 36.08],
吴江: [120.63, 31.16],
石嘴山: [106.39, 39.04],
沈阳: [123.38, 41.8],
苏州: [120.62, 31.32],
茂名: [110.88, 21.68],
嘉兴: [120.76, 30.77],
长春: [125.35, 43.88],
胶州: [120.03336, 36.264622],
银川: [106.27, 38.47],
张家港: [120.555821, 31.875428],
三门峡: [111.19, 34.76],
锦州: [121.15, 41.13],
南昌: [115.89, 28.68],
柳州: [109.4, 24.33],
三亚: [109.511909, 18.252847],
自贡: [104.778442, 29.33903],
吉林: [126.57, 43.87],
阳江: [111.95, 21.85],
泸州: [105.39, 28.91],
西宁: [101.74, 36.56],
宜宾: [104.56, 29.77],
呼和浩特: [111.65, 40.82],
成都: [104.06, 30.67],
大同: [113.3, 40.12],
镇江: [119.44, 32.2],
桂林: [110.28, 25.29],
张家界: [110.479191, 29.117096],
宜兴: [119.82, 31.36],
北海: [109.12, 21.49],
西安: [108.95, 34.27],
金坛: [119.56, 31.74],
东营: [118.49, 37.46],
牡丹江: [129.58, 44.6],
遵义: [106.9, 27.7],
绍兴: [120.58, 30.01],
扬州: [119.42, 32.39],
常州: [119.95, 31.79],
潍坊: [119.1, 36.62],
重庆: [106.54, 29.59],
台州: [121.420757, 28.656386],
南京: [118.78, 32.04],
滨州: [118.03, 37.36],
贵阳: [106.71, 26.57],
无锡: [120.29, 31.59],
本溪: [123.73, 41.3],
克拉玛依: [84.77, 45.59],
渭南: [109.5, 34.52],
马鞍山: [118.48, 31.56],
宝鸡: [107.15, 34.38],
焦作: [113.21, 35.24],
句容: [119.16, 31.95],
北京: [116.46, 39.92],
徐州: [117.2, 34.26],
衡水: [115.72, 37.72],
包头: [110, 40.58],
绵阳: [104.73, 31.48],
乌鲁木齐: [87.68, 43.77],
枣庄: [117.57, 34.86],
杭州: [120.19, 30.26],
淄博: [118.05, 36.78],
鞍山: [122.85, 41.12],
溧阳: [119.48, 31.43],
库尔勒: [86.06, 41.68],
安阳: [114.35, 36.1],
开封: [114.35, 34.79],
济南: [117, 36.65],
德阳: [104.37, 31.13],
温州: [120.65, 28.01],
九江: [115.97, 29.71],
邯郸: [114.47, 36.6],
临安: [119.72, 30.23],
兰州: [103.73, 36.03],
沧州: [116.83, 38.33],
临沂: [118.35, 35.05],
南充: [106.110698, 30.837793],
天津: [117.2, 39.13],
富阳: [119.95, 30.07],
泰安: [117.13, 36.18],
诸暨: [120.23, 29.71],
郑州: [113.65, 34.76],
哈尔滨: [126.63, 45.75],
聊城: [115.97, 36.45],
芜湖: [118.38, 31.33],
唐山: [118.02, 39.63],
平顶山: [113.29, 33.75],
邢台: [114.48, 37.05],
德州: [116.29, 37.45],
济宁: [116.59, 35.38],
荆州: [112.239741, 30.335165],
宜昌: [111.3, 30.7],
义乌: [120.06, 29.32],
丽水: [119.92, 28.45],
洛阳: [112.44, 34.7],
秦皇岛: [119.57, 39.95],
株洲: [113.16, 27.83],
石家庄: [114.48, 38.03],
莱芜: [117.67, 36.19],
常德: [111.69, 29.05],
保定: [115.48, 38.85],
湘潭: [112.91, 27.87],
金华: [119.64, 29.12],
岳阳: [113.09, 29.37],
长沙: [113, 28.21],
衢州: [118.88, 28.97],
廊坊: [116.7, 39.53],
菏泽: [115.480656, 35.23375],
合肥: [117.27, 31.86],
武汉: [114.31, 30.52],
大庆: [125.03, 46.58]
};
const convertData = https://www.it610.com/article/function (data) {
var res = [];
for (var i = 0;
i < data.length;
i++) {
var geoCoord = geoCoordMap[data[i].name];
if (geoCoord) {
res.push({
name: data[i].name,
value: geoCoord.concat(data[i].value)
});
}
}
return res;
};
const ec_center_option = {
// title: {
//text:'全国主要城市空气质量 - 百度地图',
//subtext: 'data from PM25.in',
//sublink: 'http://www.pm25.in',
//left: 'center'
// },
tooltip: {
trigger: 'item'
},
bmap: {
center: [104.114129, 37.550339],
zoom: 5,
roam: true,
mapStyle: {
styleJson: [
{
featureType: 'water',
elementType: 'all',
stylers: {
color: '#d1d1d1'
}
},
{
featureType: 'land',
elementType: 'all',
stylers: {
color: '#f3f3f3'
}
},
{
featureType: 'railway',
elementType: 'all',
stylers: {
visibility: 'off'
}
},
{
featureType: 'highway',
elementType: 'all',
stylers: {
color: '#fdfdfd'
}
},
{
featureType: 'highway',
elementType: 'labels',
stylers: {
visibility: 'on'
}
},
{
featureType: 'arterial',
elementType: 'geometry',
stylers: {
color: '#fefefe'
}
},
{
featureType: 'arterial',
elementType: 'geometry.fill',
stylers: {
color: '#fefefe'
}
},
{
featureType: 'poi',
elementType: 'all',
stylers: {
visibility: 'off'
}
},
{
featureType: 'green',
elementType: 'all',
stylers: {
visibility: 'off'
}
},
{
featureType: 'subway',
elementType: 'all',
stylers: {
visibility: 'off'
}
},
{
featureType: 'manmade',
elementType: 'all',
stylers: {
color: '#d1d1d1'
}
},
{
featureType: 'local',
elementType: 'all',
stylers: {
color: '#d1d1d1'
}
},
{
featureType: 'arterial',
elementType: 'labels',
stylers: {
visibility: 'off'
}
},
{
featureType: 'boundary',
elementType: 'all',
stylers: {
color: '#fefefe'
}
},
{
featureType: 'building',
elementType: 'all',
stylers: {
color: '#d1d1d1'
}
},
{
featureType: 'label',
elementType: 'labels.text.fill',
stylers: {
color: '#999999'
}
}
]
}
},
series: [
{
name: 'pm2.5',
type: 'scatter',
coordinateSystem: 'bmap',
data: convertData(data),
symbolSize: function (val) {
return val[2] / 10;
},
encode: {
value: 2
},
label: {
formatter: '{b}',
position: 'right',
show: false
},
emphasis: {
label: {
show: true
}
}
},
{
name: 'Top 5',
type: 'effectScatter',
coordinateSystem: 'bmap',
data: convertData(
data
.sort(function (a, b) {
return b.value - a.value;
})
.slice(0, 6)
),
symbolSize: function (val) {
return val[2] / 10;
},
encode: {
value: 2
},
showEffectOn: 'render',
rippleEffect: {
brushType: 'stroke'
},
label: {
formatter: '{b}',
position: 'right',
show: true
},
itemStyle: {
shadowBlur: 10,
shadowColor: '#333'
},
emphasis: {
scale: true
},
zlevel: 1
}
]
};
// 基于准备好的dom，初始化echarts实例
var ec_center = echarts.init(document.getElementById('center2'),'dark');
ec_center_option&&ec_center.setOption(ec_center_option);
页面整体调用
数字化大屏 - 锐客网
某某公司数字化大屏这里是左侧边栏1
这里是左侧边栏21123
234
1345
456
累计生产
剩余生产
累计销售
累计返厂这里是右侧边栏1
这里是右侧边栏2
备注 本文主要是记录学习，抛砖引玉。与大家一起进步。
【Python基础|Python基础之数字化大屏】城南【作者】曾巩 【朝代】宋
雨过横塘水满堤，乱山高下路东西。
一番桃李花开尽，惟有青青草色齐。
文章图片
推荐阅读
- PMSJ寻平面设计师之现代(Hyundai）
- 太平之莲
- 闲杂“细雨”
- 七年之痒之后
- 深入理解Go之generate
- 由浅入深理解AOP
- 期刊|期刊 | 国内核心期刊之（北大核心）
- 生活随笔｜好天气下的意外之喜
- 感恩之旅第75天
- python学习之|python学习之 实现QQ自动发送消息