Echart 地图实例
1.地图实例
function func_InEchart()
{ require.config({
paths: {
echarts: '../Scripts/echart2/echarts'
},
packages: [
{
name: 'BMap',
location: '../Scripts/echart2/chart',
main: 'main'
}
]
}); require(
[
'../Scripts/echart2/echarts',
'BMap',
'../Scripts/echart2/chart/map'
],
function (echarts, BMapExtension) { var bmapChart = document.getElementById('echarts-map-chart'); // 初始化地图
var BMapExt = new BMapExtension(bmapChart, BMap, echarts, {
enableMapClick: false
});
var map = BMapExt.getMap();
var container = BMapExt.getEchartsContainer(); var startPoint = {
x: 104.114129,
y: 37.550339
}; var point = new BMap.Point(startPoint.x, startPoint.y);
map.centerAndZoom(point, 5);
map.enableScrollWheelZoom(true);
// 地图自定义样式
map.setMapStyle({
styleJson: [
{
"featureType": "water",
"elementType": "all",
"stylers": {
"color": "#044161"
}
},
{
"featureType": "land",
"elementType": "all",
"stylers": {
"color": "#004981"
}
},
{
"featureType": "boundary",
"elementType": "geometry",
"stylers": {
"color": "#064f85"
}
},
{
"featureType": "railway",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "highway",
"elementType": "geometry",
"stylers": {
"color": "#004981"
}
},
{
"featureType": "highway",
"elementType": "geometry.fill",
"stylers": {
"color": "#005b96",
"lightness": 1
}
},
{
"featureType": "highway",
"elementType": "labels",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "arterial",
"elementType": "geometry",
"stylers": {
"color": "#004981"
}
},
{
"featureType": "arterial",
"elementType": "geometry.fill",
"stylers": {
"color": "#00508b"
}
},
{
"featureType": "poi",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "green",
"elementType": "all",
"stylers": {
"color": "#056197",
"visibility": "off"
}
},
{
"featureType": "subway",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "manmade",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "local",
"elementType": "all",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "arterial",
"elementType": "labels",
"stylers": {
"visibility": "off"
}
},
{
"featureType": "boundary",
"elementType": "geometry.fill",
"stylers": {
"color": "#029fd4"
}
},
{
"featureType": "building",
"elementType": "all",
"stylers": {
"color": "#1a5787"
}
},
{
"featureType": "label",
"elementType": "all",
"stylers": {
"visibility": "off"
}
}
]
}); option = {
color: ['gold', 'aqua', 'lime'],
title: {
text: '模拟迁徙',
subtext: '数据纯属虚构',
x: 'center',
textStyle: {
color: '#fff'
}
},
tooltip: {
trigger: 'item',
formatter: function (v) {
return v[1].replace(':', ' > ');
}
},
legend: {
orient: 'vertical',
x: 'left',
data: ['北京', '上海', '广州'],
selectedMode: 'single',
selected: {
'上海': false,
'广州': false
},
textStyle: {
color: '#fff'
}
},
toolbox: {
show: true,
orient: 'vertical',
x: 'right',
y: 'center',
feature: {
mark: { show: true },
dataView: { show: true, readOnly: false },
restore: { show: true },
saveAsImage: { show: true }
}
},
dataRange: {
min: 0,
max: 100,
range: {
start: 10,
end: 90
},
x: 'right',
calculable: true,
color: ['#ff3333', 'orange', 'yellow', 'lime', 'aqua'],
textStyle: {
color: '#fff'
}
},
series: [
{
name: '北京',
type: 'map',
mapType: 'none',
data: [],
geoCoord: {
'上海': [121.4648, 31.2891],
'东莞': [113.8953, 22.901],
'东营': [118.7073, 37.5513],
'中山': [113.4229, 22.478],
'临汾': [111.4783, 36.1615],
'临沂': [118.3118, 35.2936],
'丹东': [124.541, 40.4242],
'丽水': [119.5642, 28.1854],
'乌鲁木齐': [87.9236, 43.5883],
'佛山': [112.8955, 23.1097],
'保定': [115.0488, 39.0948],
'兰州': [103.5901, 36.3043],
'包头': [110.3467, 41.4899],
'北京': [116.4551, 40.2539],
'北海': [109.314, 21.6211],
'南京': [118.8062, 31.9208],
'南宁': [108.479, 23.1152],
'南昌': [116.0046, 28.6633],
'南通': [121.1023, 32.1625],
'厦门': [118.1689, 24.6478],
'台州': [121.1353, 28.6688],
'合肥': [117.29, 32.0581],
'呼和浩特': [111.4124, 40.4901],
'咸阳': [108.4131, 34.8706],
'哈尔滨': [127.9688, 45.368],
'唐山': [118.4766, 39.6826],
'嘉兴': [120.9155, 30.6354],
'大同': [113.7854, 39.8035],
'大连': [122.2229, 39.4409],
'天津': [117.4219, 39.4189],
'太原': [112.3352, 37.9413],
'威海': [121.9482, 37.1393],
'宁波': [121.5967, 29.6466],
'宝鸡': [107.1826, 34.3433],
'宿迁': [118.5535, 33.7775],
'常州': [119.4543, 31.5582],
'广州': [113.5107, 23.2196],
'廊坊': [116.521, 39.0509],
'延安': [109.1052, 36.4252],
'张家口': [115.1477, 40.8527],
'徐州': [117.5208, 34.3268],
'德州': [116.6858, 37.2107],
'惠州': [114.6204, 23.1647],
'成都': [103.9526, 30.7617],
'扬州': [119.4653, 32.8162],
'承德': [117.5757, 41.4075],
'拉萨': [91.1865, 30.1465],
'无锡': [120.3442, 31.5527],
'日照': [119.2786, 35.5023],
'昆明': [102.9199, 25.4663],
'杭州': [119.5313, 29.8773],
'枣庄': [117.323, 34.8926],
'柳州': [109.3799, 24.9774],
'株洲': [113.5327, 27.0319],
'武汉': [114.3896, 30.6628],
'汕头': [117.1692, 23.3405],
'江门': [112.6318, 22.1484],
'沈阳': [123.1238, 42.1216],
'沧州': [116.8286, 38.2104],
'河源': [114.917, 23.9722],
'泉州': [118.3228, 25.1147],
'泰安': [117.0264, 36.0516],
'泰州': [120.0586, 32.5525],
'济南': [117.1582, 36.8701],
'济宁': [116.8286, 35.3375],
'海口': [110.3893, 19.8516],
'淄博': [118.0371, 36.6064],
'淮安': [118.927, 33.4039],
'深圳': [114.5435, 22.5439],
'清远': [112.9175, 24.3292],
'温州': [120.498, 27.8119],
'渭南': [109.7864, 35.0299],
'湖州': [119.8608, 30.7782],
'湘潭': [112.5439, 27.7075],
'滨州': [117.8174, 37.4963],
'潍坊': [119.0918, 36.524],
'烟台': [120.7397, 37.5128],
'玉溪': [101.9312, 23.8898],
'珠海': [113.7305, 22.1155],
'盐城': [120.2234, 33.5577],
'盘锦': [121.9482, 41.0449],
'石家庄': [114.4995, 38.1006],
'福州': [119.4543, 25.9222],
'秦皇岛': [119.2126, 40.0232],
'绍兴': [120.564, 29.7565],
'聊城': [115.9167, 36.4032],
'肇庆': [112.1265, 23.5822],
'舟山': [122.2559, 30.2234],
'苏州': [120.6519, 31.3989],
'莱芜': [117.6526, 36.2714],
'菏泽': [115.6201, 35.2057],
'营口': [122.4316, 40.4297],
'葫芦岛': [120.1575, 40.578],
'衡水': [115.8838, 37.7161],
'衢州': [118.6853, 28.8666],
'西宁': [101.4038, 36.8207],
'西安': [109.1162, 34.2004],
'贵阳': [106.6992, 26.7682],
'连云港': [119.1248, 34.552],
'邢台': [114.8071, 37.2821],
'邯郸': [114.4775, 36.535],
'郑州': [113.4668, 34.6234],
'鄂尔多斯': [108.9734, 39.2487],
'重庆': [107.7539, 30.1904],
'金华': [120.0037, 29.1028],
'铜川': [109.0393, 35.1947],
'银川': [106.3586, 38.1775],
'镇江': [119.4763, 31.9702],
'长春': [125.8154, 44.2584],
'长沙': [113.0823, 28.2568],
'长治': [112.8625, 36.4746],
'阳泉': [113.4778, 38.0951],
'青岛': [120.4651, 36.3373],
'韶关': [113.7964, 24.7028]
}, markLine: {
smooth: true,
effect: {
show: true,
scaleSize: 1,
period: 30,
color: '#fff',
shadowBlur: 10
},
itemStyle: {
normal: {
borderWidth: 1,
lineStyle: {
type: 'solid',
shadowBlur: 10
}
}
},
data: [
[{ name: '北京' }, { name: '上海', value: 95 }],
[{ name: '北京' }, { name: '广州', value: 90 }],
[{ name: '北京' }, { name: '大连', value: 80 }],
[{ name: '北京' }, { name: '南宁', value: 70 }],
[{ name: '北京' }, { name: '南昌', value: 60 }],
[{ name: '北京' }, { name: '拉萨', value: 50 }],
[{ name: '北京' }, { name: '长春', value: 40 }],
[{ name: '北京' }, { name: '包头', value: 30 }],
[{ name: '北京' }, { name: '重庆', value: 20 }],
[{ name: '北京' }, { name: '常州', value: 10 }]
]
},
markPoint: {
symbol: 'emptyCircle',
symbolSize: function (v) {
return 10 + v / 10
},
effect: {
show: true,
shadowBlur: 0
},
itemStyle: {
normal: {
label: { show: false }
}
},
data: [
{ name: '上海', value: 95 },
{ name: '广州', value: 90 },
{ name: '大连', value: 80 },
{ name: '南宁', value: 70 },
{ name: '南昌', value: 60 },
{ name: '拉萨', value: 50 },
{ name: '长春', value: 40 },
{ name: '包头', value: 30 },
{ name: '重庆', value: 20 },
{ name: '常州', value: 10 }
]
} },
{
name: '上海',
type: 'map',
mapType: 'none',
data: [],
markLine: {
smooth: true,
effect: {
show: true,
scaleSize: 1,
period: 30,
color: '#fff',
shadowBlur: 10
},
itemStyle: {
normal: {
borderWidth: 1,
lineStyle: {
type: 'solid',
shadowBlur: 10
}
}
},
data: [
[{ name: '上海' }, { name: '包头', value: 95 }],
[{ name: '上海' }, { name: '昆明', value: 90 }],
[{ name: '上海' }, { name: '广州', value: 80 }],
[{ name: '上海' }, { name: '郑州', value: 70 }],
[{ name: '上海' }, { name: '长春', value: 60 }],
[{ name: '上海' }, { name: '重庆', value: 50 }],
[{ name: '上海' }, { name: '长沙', value: 40 }],
[{ name: '上海' }, { name: '北京', value: 30 }],
[{ name: '上海' }, { name: '丹东', value: 20 }],
[{ name: '上海' }, { name: '大连', value: 10 }]
]
},
markPoint: {
symbol: 'emptyCircle',
symbolSize: function (v) {
return 10 + v / 10
},
effect: {
show: true,
shadowBlur: 0
},
itemStyle: {
normal: {
label: { show: false }
}
},
data: [
{ name: '包头', value: 95 },
{ name: '昆明', value: 90 },
{ name: '广州', value: 80 },
{ name: '郑州', value: 70 },
{ name: '长春', value: 60 },
{ name: '重庆', value: 50 },
{ name: '长沙', value: 40 },
{ name: '北京', value: 30 },
{ name: '丹东', value: 20 },
{ name: '大连', value: 10 }
]
}
},
{
name: '广州',
type: 'map',
mapType: 'none',
data: [],
markLine: {
smooth: true,
effect: {
show: true,
scaleSize: 1,
period: 30,
color: '#fff',
shadowBlur: 10
},
itemStyle: {
normal: {
borderWidth: 1,
lineStyle: {
type: 'solid',
shadowBlur: 10
}
}
},
data: [
[{ name: '广州' }, { name: '福州', value: 95 }],
[{ name: '广州' }, { name: '太原', value: 90 }],
[{ name: '广州' }, { name: '长春', value: 80 }],
[{ name: '广州' }, { name: '重庆', value: 70 }],
[{ name: '广州' }, { name: '西安', value: 60 }],
[{ name: '广州' }, { name: '成都', value: 50 }],
[{ name: '广州' }, { name: '常州', value: 40 }],
[{ name: '广州' }, { name: '北京', value: 30 }],
[{ name: '广州' }, { name: '北海', value: 20 }],
[{ name: '广州' }, { name: '海口', value: 10 }]
]
},
markPoint: {
symbol: 'emptyCircle',
symbolSize: function (v) {
return 10 + v / 10
},
effect: {
show: true,
shadowBlur: 0
},
itemStyle: {
normal: {
label: { show: false }
}
},
data: [
{ name: '福州', value: 95 },
{ name: '太原', value: 90 },
{ name: '长春', value: 80 },
{ name: '重庆', value: 70 },
{ name: '西安', value: 60 },
{ name: '成都', value: 50 },
{ name: '常州', value: 40 },
{ name: '北京', value: 30 },
{ name: '北海', value: 20 },
{ name: '海口', value: 10 }
]
}
},
{
name: '全国',
type: 'map',
mapType: 'none',
data: [],
markLine: {
smooth: true,
symbol: ['none', 'circle'],
symbolSize: 1,
itemStyle: {
normal: {
color: '#fff',
borderWidth: 1,
borderColor: 'rgba(30,144,255,0.5)'
}
},
data: [
[{ name: '北京' }, { name: '包头' }],
[{ name: '北京' }, { name: '北海' }],
[{ name: '北京' }, { name: '广州' }],
[{ name: '北京' }, { name: '郑州' }],
[{ name: '北京' }, { name: '长春' }],
[{ name: '北京' }, { name: '长治' }],
[{ name: '北京' }, { name: '重庆' }],
[{ name: '北京' }, { name: '长沙' }],
[{ name: '北京' }, { name: '成都' }],
[{ name: '北京' }, { name: '常州' }],
[{ name: '北京' }, { name: '丹东' }],
[{ name: '北京' }, { name: '大连' }],
[{ name: '北京' }, { name: '东营' }],
[{ name: '北京' }, { name: '延安' }],
[{ name: '北京' }, { name: '福州' }],
[{ name: '北京' }, { name: '海口' }],
[{ name: '北京' }, { name: '呼和浩特' }],
[{ name: '北京' }, { name: '合肥' }],
[{ name: '北京' }, { name: '杭州' }],
[{ name: '北京' }, { name: '哈尔滨' }],
[{ name: '北京' }, { name: '舟山' }],
[{ name: '北京' }, { name: '银川' }],
[{ name: '北京' }, { name: '衢州' }],
[{ name: '北京' }, { name: '南昌' }],
[{ name: '北京' }, { name: '昆明' }],
[{ name: '北京' }, { name: '贵阳' }],
[{ name: '北京' }, { name: '兰州' }],
[{ name: '北京' }, { name: '拉萨' }],
[{ name: '北京' }, { name: '连云港' }],
[{ name: '北京' }, { name: '临沂' }],
[{ name: '北京' }, { name: '柳州' }],
[{ name: '北京' }, { name: '宁波' }],
[{ name: '北京' }, { name: '南京' }],
[{ name: '北京' }, { name: '南宁' }],
[{ name: '北京' }, { name: '南通' }],
[{ name: '北京' }, { name: '上海' }],
[{ name: '北京' }, { name: '沈阳' }],
[{ name: '北京' }, { name: '西安' }],
[{ name: '北京' }, { name: '汕头' }],
[{ name: '北京' }, { name: '深圳' }],
[{ name: '北京' }, { name: '青岛' }],
[{ name: '北京' }, { name: '济南' }],
[{ name: '北京' }, { name: '太原' }],
[{ name: '北京' }, { name: '乌鲁木齐' }],
[{ name: '北京' }, { name: '潍坊' }],
[{ name: '北京' }, { name: '威海' }],
[{ name: '北京' }, { name: '温州' }],
[{ name: '北京' }, { name: '武汉' }],
[{ name: '北京' }, { name: '无锡' }],
[{ name: '北京' }, { name: '厦门' }],
[{ name: '北京' }, { name: '西宁' }],
[{ name: '北京' }, { name: '徐州' }],
[{ name: '北京' }, { name: '烟台' }],
[{ name: '北京' }, { name: '盐城' }],
[{ name: '北京' }, { name: '珠海' }],
[{ name: '上海' }, { name: '包头' }],
[{ name: '上海' }, { name: '北海' }],
[{ name: '上海' }, { name: '广州' }],
[{ name: '上海' }, { name: '郑州' }],
[{ name: '上海' }, { name: '长春' }],
[{ name: '上海' }, { name: '重庆' }],
[{ name: '上海' }, { name: '长沙' }],
[{ name: '上海' }, { name: '成都' }],
[{ name: '上海' }, { name: '丹东' }],
[{ name: '上海' }, { name: '大连' }],
[{ name: '上海' }, { name: '福州' }],
[{ name: '上海' }, { name: '海口' }],
[{ name: '上海' }, { name: '呼和浩特' }],
[{ name: '上海' }, { name: '合肥' }],
[{ name: '上海' }, { name: '哈尔滨' }],
[{ name: '上海' }, { name: '舟山' }],
[{ name: '上海' }, { name: '银川' }],
[{ name: '上海' }, { name: '南昌' }],
[{ name: '上海' }, { name: '昆明' }],
[{ name: '上海' }, { name: '贵阳' }],
[{ name: '上海' }, { name: '兰州' }],
[{ name: '上海' }, { name: '拉萨' }],
[{ name: '上海' }, { name: '连云港' }],
[{ name: '上海' }, { name: '临沂' }],
[{ name: '上海' }, { name: '柳州' }],
[{ name: '上海' }, { name: '宁波' }],
[{ name: '上海' }, { name: '南宁' }],
[{ name: '上海' }, { name: '北京' }],
[{ name: '上海' }, { name: '沈阳' }],
[{ name: '上海' }, { name: '秦皇岛' }],
[{ name: '上海' }, { name: '西安' }],
[{ name: '上海' }, { name: '石家庄' }],
[{ name: '上海' }, { name: '汕头' }],
[{ name: '上海' }, { name: '深圳' }],
[{ name: '上海' }, { name: '青岛' }],
[{ name: '上海' }, { name: '济南' }],
[{ name: '上海' }, { name: '天津' }],
[{ name: '上海' }, { name: '太原' }],
[{ name: '上海' }, { name: '乌鲁木齐' }],
[{ name: '上海' }, { name: '潍坊' }],
[{ name: '上海' }, { name: '威海' }],
[{ name: '上海' }, { name: '温州' }],
[{ name: '上海' }, { name: '武汉' }],
[{ name: '上海' }, { name: '厦门' }],
[{ name: '上海' }, { name: '西宁' }],
[{ name: '上海' }, { name: '徐州' }],
[{ name: '上海' }, { name: '烟台' }],
[{ name: '上海' }, { name: '珠海' }],
[{ name: '广州' }, { name: '北海' }],
[{ name: '广州' }, { name: '郑州' }],
[{ name: '广州' }, { name: '长春' }],
[{ name: '广州' }, { name: '重庆' }],
[{ name: '广州' }, { name: '长沙' }],
[{ name: '广州' }, { name: '成都' }],
[{ name: '广州' }, { name: '常州' }],
[{ name: '广州' }, { name: '大连' }],
[{ name: '广州' }, { name: '福州' }],
[{ name: '广州' }, { name: '海口' }],
[{ name: '广州' }, { name: '呼和浩特' }],
[{ name: '广州' }, { name: '合肥' }],
[{ name: '广州' }, { name: '杭州' }],
[{ name: '广州' }, { name: '哈尔滨' }],
[{ name: '广州' }, { name: '舟山' }],
[{ name: '广州' }, { name: '银川' }],
[{ name: '广州' }, { name: '南昌' }],
[{ name: '广州' }, { name: '昆明' }],
[{ name: '广州' }, { name: '贵阳' }],
[{ name: '广州' }, { name: '兰州' }],
[{ name: '广州' }, { name: '拉萨' }],
[{ name: '广州' }, { name: '连云港' }],
[{ name: '广州' }, { name: '临沂' }],
[{ name: '广州' }, { name: '柳州' }],
[{ name: '广州' }, { name: '宁波' }],
[{ name: '广州' }, { name: '南京' }],
[{ name: '广州' }, { name: '南宁' }],
[{ name: '广州' }, { name: '南通' }],
[{ name: '广州' }, { name: '北京' }],
[{ name: '广州' }, { name: '上海' }],
[{ name: '广州' }, { name: '沈阳' }],
[{ name: '广州' }, { name: '西安' }],
[{ name: '广州' }, { name: '石家庄' }],
[{ name: '广州' }, { name: '汕头' }],
[{ name: '广州' }, { name: '青岛' }],
[{ name: '广州' }, { name: '济南' }],
[{ name: '广州' }, { name: '天津' }],
[{ name: '广州' }, { name: '太原' }],
[{ name: '广州' }, { name: '乌鲁木齐' }],
[{ name: '广州' }, { name: '温州' }],
[{ name: '广州' }, { name: '武汉' }],
[{ name: '广州' }, { name: '无锡' }],
[{ name: '广州' }, { name: '厦门' }],
[{ name: '广州' }, { name: '西宁' }],
[{ name: '广州' }, { name: '徐州' }],
[{ name: '广州' }, { name: '烟台' }],
[{ name: '广州' }, { name: '盐城' }]
]
}
}
]
}; var myChart = BMapExt.initECharts(container);
window.onresize = myChart.onresize;
BMapExt.setOption(option);
}
);
}
Echart 地图实例的更多相关文章
- Echart - 地图散点图(服务网点图)的实现
Echart是百度开发的一个javascript图表库,可以流程运行于pc和移动端,底层依赖轻量级的 Canvas 类库 ZRender. ECharts 提供了常规的折线图,柱状图,散点图,饼图,K ...
- 实例源码--Android高德地图实例源码
下载源码 技术要点: 1.高德地图 API的使用 2.定位 ,查询路线,公交查询等地图相关技术 3.源码带有非常详 细的中文注释 ...... 详细介绍: 1. 高德地图API的使用 本套实例采 ...
- Baidu - Echarts 地图实例测试,并绘制平滑圆弧路径
百度Echarts实例地址: http://echarts.baidu.com/examples.html 同事想做一个地图,地图上的几个点通过动态的线连接起来.但是在实例里没找到类似的. 然后仔细分 ...
- echart地图下钻
需求:展示中国地图,鼠标点击显示对应的省份 在echart的github上下载需要的 地图文件China.js,各个省份的json文件 遇到的问题:直接在浏览器打开报错,跨域问题,用webstrom打 ...
- Echart地图城市用json返回格式
用Echarts中,使用地图的series部分中展示城市如果用json返回数据的话,js不能直接用字符串使用.需要处理一下. php中的部分 json返回的数据 js中获取json信息 用ajax实现 ...
- openLayers,常见地图实例
http://openlayers.org/en/master/examples/epsg-4326.html -- 标尺 http://openlayers.org/en/master/exampl ...
- HTM L百度地图API 自定义工具地图实例
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/ ...
- 百度Echart 地图
使用百度地图做一个全国地图数据分析的功能,如下图 代码 <%@ Page Language="C#" AutoEventWireup="true" Cod ...
- 用three.js开发三维地图实例
公司要做智慧消防楼层可视化,需要用到web3d,开源的引擎中先研究了cesium三维地球,但cesium做楼层感觉是大材小用,而且体验也不好,最终选用的是功能强大.更适合小型场景的three. thr ...
随机推荐
- SQL Server无备份误删数据的恢复
在正式生产数据库中,因为客户现场管理不规范产生了一条错误数据,由于自身睡眠不佳加上客户方言表达,将编号记错,在没有备份的情况下,直接连远程数据库执行了delete操作. 由于备份设置的是每日0点,当天 ...
- Spark学习之路 (十七)Spark分区[转]
分区的概念 分区是RDD内部并行计算的一个计算单元,RDD的数据集在逻辑上被划分为多个分片,每一个分片称为分区,分区的格式决定了并行计算的粒度,而每个分区的数值计算都是在一个任务中进行的,因此任务的个 ...
- 安卓自定义View实例-----跟随手指移动的鸟
今天学习了一些安卓开发中的自定义布局,编写了简单一个实例,“跟随手指移动的鸟”,需要两张图片,背景图片和鸟的图片,鸟的图片可以在屏幕中跟随手指的移动而移动. 1.将两张图片导入到mipmap中: 2. ...
- 第十届蓝桥杯CB题目I-分析
思路分析://感谢写文博主 思路:相信大多数人和我一样在比赛的时候把这题想的太简单了_(:з」∠)_ 这题和去年的最后一题很类似,就是分类讨论,去年放在了最后一题,今年在倒数第二题,说明难度不算太难, ...
- PP: Unsupervised anomaly detection via variational auto-encoder for seasonal KPIs in web applications
Problem: unsupervised anomaly detection for seasonal KPIs in web applications. Donut: an unsupervise ...
- 【spring】jdbcTemplate之sql参数注入
demo @Repository("jdbcDao") public class JdbcTemplateDao { @Autowired private JdbcTemplate ...
- Hbase架构剖析
HBase隶属于hadoop生态系统,它参考了谷歌的BigTable建模,实现的编程语言为 Java, 建立在hdfs之上,提供高可靠性.高性能.列存储.可伸缩.实时读写的数据库系统.它仅能通过主键( ...
- win10c盘被下满文件解决办法
今天更新系统,发现一个巨坑,好不容易软件配置的环境,开始以为是病毒,重装后在弄发现还是这个问题.经过两天的亲测解决办法: win7 svchost.exe占用内存和CPU很高,电脑很卡的解决方法:ht ...
- 婴儿潮一代\千禧一代\X一代\Z一代含义
(一)婴儿潮一代 婴儿潮一代是指各国的生育高峰期.每个时期的婴儿潮一代都会给各国经济带来不小的刺激作用,但同样的当他们退休时也会给政府的养老保险带来巨大的压力. 在中国,从统计数据来看生育高峰出现在1 ...
- VUE动画Javascript钩子不生效问题记录
举例小球动画如下 <!DOCTYPE html> <html lang="en"> <head> <meta charset=" ...