JS数据可视化实验报告——平行坐标、散点图矩阵、点线链接式(javascript)_眼里进沙子好疼的博客-CSDN博客
接上一篇博客的课程实验报告
1.平行坐标图
话不多说，直接上效果图 
接下来附上源码
html
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<title>平行坐标图</title>
<!-- echarts.js -->
<script src="https://cdn.staticfile.org/echarts/4.3.0/echarts.min.js"></script>
</head>
<body>
<div id="main" style="width: 1200px;height:800px"></div>
<script src="./平行坐标.js"></script>
</body>
</html>
js
var myChart = echarts.init(document.getElementById('main'));
//引入数据——北京
var dataBJ = [
[1,55,9,56,0.46,18,6,"良"],
[2,25,11,21,0.65,34,9,"优"],
[3,56,7,63,0.3,14,5,"良"],
[4,33,7,29,0.33,16,6,"优"],
[5,42,24,44,0.76,40,16,"优"],
[6,82,58,90,1.77,68,33,"良"],
[7,74,49,77,1.46,48,27,"良"],
[8,78,55,80,1.29,59,29,"良"],
[9,267,216,280,4.8,108,64,"重度污染"],
[10,185,127,216,2.52,61,27,"中度污染"],
[11,39,19,38,0.57,31,15,"优"],
[12,41,11,40,0.43,21,7,"优"],
[13,64,38,74,1.04,46,22,"良"],
[14,108,79,120,1.7,75,41,"轻度污染"],
[15,108,63,116,1.48,44,26,"轻度污染"],
[16,33,6,29,0.34,13,5,"优"],
[17,94,66,110,1.54,62,31,"良"],
[18,186,142,192,3.88,93,79,"中度污染"],
[19,57,31,54,0.96,32,14,"良"],
[20,22,8,17,0.48,23,10,"优"],
[21,39,15,36,0.61,29,13,"优"],
[22,94,69,114,2.08,73,39,"良"],
[23,99,73,110,2.43,76,48,"良"],
[24,31,12,30,0.5,32,16,"优"],
[25,42,27,43,1,53,22,"优"],
[26,154,117,157,3.05,92,58,"中度污染"],
[27,234,185,230,4.09,123,69,"重度污染"],
[28,160,120,186,2.77,91,50,"中度污染"],
[29,134,96,165,2.76,83,41,"轻度污染"],
[30,52,24,60,1.03,50,21,"良"],
[31,46,5,49,0.28,10,6,"优"]
];
//引入数据——广州
var dataGZ = [
[1,26,37,27,1.163,27,13,"优"],
[2,85,62,71,1.195,60,8,"良"],
[3,78,38,74,1.363,37,7,"良"],
[4,21,21,36,0.634,40,9,"优"],
[5,41,42,46,0.915,81,13,"优"],
[6,56,52,69,1.067,92,16,"良"],
[7,64,30,28,0.924,51,2,"良"],
[8,55,48,74,1.236,75,26,"良"],
[9,76,85,113,1.237,114,27,"良"],
[10,91,81,104,1.041,56,40,"良"],
[11,84,39,60,0.964,25,11,"良"],
[12,64,51,101,0.862,58,23,"良"],
[13,70,69,120,1.198,65,36,"良"],
[14,77,105,178,2.549,64,16,"良"],
[15,109,68,87,0.996,74,29,"轻度污染"],
[16,73,68,97,0.905,51,34,"良"],
[17,54,27,47,0.592,53,12,"良"],
[18,51,61,97,0.811,65,19,"良"],
[19,91,71,121,1.374,43,18,"良"],
[20,73,102,182,2.787,44,19,"良"],
[21,73,50,76,0.717,31,20,"良"],
[22,84,94,140,2.238,68,18,"良"],
[23,93,77,104,1.165,53,7,"良"],
[24,99,130,227,3.97,55,15,"良"],
[25,146,84,139,1.094,40,17,"轻度污染"],
[26,113,108,137,1.481,48,15,"轻度污染"],
[27,81,48,62,1.619,26,3,"良"],
[28,56,48,68,1.336,37,9,"良"],
[29,82,92,174,3.29,0,13,"良"],
[30,106,116,188,3.628,101,16,"轻度污染"],
[31,118,50,0,1.383,76,11,"轻度污染"]
];
//引入数据——上海
var dataSH = [
[1,91,45,125,0.82,34,23,"良"],
[2,65,27,78,0.86,45,29,"良"],
[3,83,60,84,1.09,73,27,"良"],
[4,109,81,121,1.28,68,51,"轻度污染"],
[5,106,77,114,1.07,55,51,"轻度污染"],
[6,109,81,121,1.28,68,51,"轻度污染"],
[7,106,77,114,1.07,55,51,"轻度污染"],
[8,89,65,78,0.86,51,26,"良"],
[9,53,33,47,0.64,50,17,"良"],
[10,80,55,80,1.01,75,24,"良"],
[11,117,81,124,1.03,45,24,"轻度污染"],
[12,99,71,142,1.1,62,42,"良"],
[13,95,69,130,1.28,74,50,"良"],
[14,116,87,131,1.47,84,40,"轻度污染"],
[15,108,80,121,1.3,85,37,"轻度污染"],
[16,134,83,167,1.16,57,43,"轻度污染"],
[17,79,43,107,1.05,59,37,"良"],
[18,71,46,89,0.86,64,25,"良"],
[19,97,71,113,1.17,88,31,"良"],
[20,84,57,91,0.85,55,31,"良"],
[21,87,63,101,0.9,56,41,"良"],
[22,104,77,119,1.09,73,48,"轻度污染"],
[23,87,62,100,1,72,28,"良"],
[24,168,128,172,1.49,97,56,"中度污染"],
[25,65,45,51,0.74,39,17,"良"],
[26,39,24,38,0.61,47,17,"优"],
[27,39,24,39,0.59,50,19,"优"],
[28,93,68,96,1.05,79,29,"良"],
[29,188,143,197,1.66,99,51,"中度污染"],
[30,174,131,174,1.55,108,50,"中度污染"],
[31,187,143,201,1.39,89,53,"中度污染"]
];
//定义每列的列名
var schema = [
{name: 'date', index: 0, text: '日期'},
{name: 'AQIindex', index: 1, text: 'AQI'},
{name: 'PM25', index: 2, text: 'PM2.5'},
{name: 'PM10', index: 3, text: 'PM10'},
{name: 'CO', index: 4, text: ' CO'},
{name: 'NO2', index: 5, text: 'NO2'},
{name: 'SO2', index: 6, text: 'SO2'},
{name: '等级', index: 7, text: '等级'}
];
//定义线条类型
var lineStyle = {
normal: {
width: 1,
opacity: 1
}
};
//定义标签
option = {
backgroundColor: '#333',
legend: {
bottom: 30,
data: ['北京', '上海', '广州'],
itemGap: 20,
textStyle: {
color: '#fff',
fontSize: 14
}
},
tooltip: {
padding: 10,
backgroundColor: '#222',
borderColor: '#777',
borderWidth: 1,
formatter: function (obj) {
var value = obj[0].value;
return '<div style="border-bottom: 3px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 10px;margin-bottom: 10px">'
+ obj[0].seriesName + ' ' + value[0] + '日期：'
+ value[7]
+ '</div>'
+ schema[1].text + '：' + value[1] + '<br>'
+ schema[2].text + '：' + value[2] + '<br>'
+ schema[3].text + '：' + value[3] + '<br>'
+ schema[4].text + '：' + value[4] + '<br>'
+ schema[5].text + '：' + value[5] + '<br>'
+ schema[6].text + '：' + value[6] + '<br>';
}
},
parallelAxis: [
{dim: 0, name: schema[0].text, inverse: true, max: 31, nameLocation: 'start'},
{dim: 1, name: schema[1].text},
{dim: 2, name: schema[2].text},
{dim: 3, name: schema[3].text},
{dim: 4, name: schema[4].text},
{dim: 5, name: schema[5].text},
{dim: 6, name: schema[6].text},
{dim: 7, name: schema[7].text,
type: 'category', data: ['优', '良', '轻度污染', '中度污染', '重度污染', '严重污染']}
],
visualMap: {
show: true,
min: 0,
max: 150,
dimension: 2,
inRange: {
color: ['#d94e5d','#eac736','#50a3ba'].reverse(),
}
},
parallel: {
left: '3%',
right: '8%',
bottom: 100,
parallelAxisDefault: {
type: 'value',
name: 'AQI指数',
nameLocation: 'end',
nameGap: 20,
nameTextStyle: {
color: '#fff',
fontSize: 15
},
axisLine: {
lineStyle: {
color: '#aaa'
}
},
axisTick: {
lineStyle: {
color: '#777'
}
},
splitLine: {
show: false
},
axisLabel: {
color: '#fff'
}
}
},
series: [
{
name: '北京',
type: 'parallel',
lineStyle: lineStyle,
data: dataBJ
},
{
name: '上海',
type: 'parallel',
lineStyle: lineStyle,
data: dataSH
},
{
name: '广州',
type: 'parallel',
lineStyle: lineStyle,
data: dataGZ
}
]
};
myChart.setOption(option);
2.散点图矩阵
效果图
html
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>散点图矩阵</title>
<!-- 引入 echarts.js -->
<script src="https://cdn.staticfile.org/echarts/4.3.0/echarts.min.js"></script>
</head>
<body>
<div id="main" style="width: 1000px;height:1000px;"></div>
<script src="./散点图矩阵.js"></script>
</body>
</html>
js
var myChart = echarts.init(document.getElementById('main'));
//导入数据
var rawData = [
[55,9,56,0.46,18,6,"良", "北京"],
[25,11,21,0.65,34,9,"优", "北京"],
[56,7,63,0.3,14,5,"良", "北京"],
[33,7,29,0.33,16,6,"优", "北京"],
[42,24,44,0.76,40,16,"优", "北京"],
[82,58,90,1.77,68,33,"良", "北京"],
[74,49,77,1.46,48,27,"良", "北京"],
[78,55,80,1.29,59,29,"良", "北京"],
[267,216,280,4.8,108,64,"重度", "北京"],
[185,127,216,2.52,61,27,"中度", "北京"],
[39,19,38,0.57,31,15,"优", "北京"],
[41,11,40,0.43,21,7,"优", "北京"],
[64,38,74,1.04,46,22,"良", "北京"],
[108,79,120,1.7,75,41,"轻度", "北京"],
[108,63,116,1.48,44,26,"轻度", "北京"],
[33,6,29,0.34,13,5,"优", "北京"],
[94,66,110,1.54,62,31,"良", "北京"],
[186,142,192,3.88,93,79,"中度", "北京"],
[57,31,54,0.96,32,14,"良", "北京"],
[22,8,17,0.48,23,10,"优", "北京"],
[39,15,36,0.61,29,13,"优", "北京"],
[94,69,114,2.08,73,39,"良", "北京"],
[99,73,110,2.43,76,48,"良", "北京"],
[31,12,30,0.5,32,16,"优", "北京"],
[42,27,43,1,53,22,"优", "北京"],
[154,117,157,3.05,92,58,"中度", "北京"],
[234,185,230,4.09,123,69,"重度", "北京"],
[160,120,186,2.77,91,50,"中度", "北京"],
[134,96,165,2.76,83,41,"轻度", "北京"],
[52,24,60,1.03,50,21,"良", "北京"],
[46,5,49,0.28,10,6,"优", "北京"],
[26,37,27,1.163,27,13,"优", "广州"],
[85,62,71,1.195,60,8,"良", "广州"],
[78,38,74,1.363,37,7,"良", "广州"],
[21,21,36,0.634,40,9,"优", "广州"],
[41,42,46,0.915,81,13,"优", "广州"],
[56,52,69,1.067,92,16,"良", "广州"],
[64,30,28,0.924,51,2,"良", "广州"],
[55,48,74,1.236,75,26,"良", "广州"],
[76,85,113,1.237,114,27,"良", "广州"],
[91,81,104,1.041,56,40,"良", "广州"],
[84,39,60,0.964,25,11,"良", "广州"],
[64,51,101,0.862,58,23,"良", "广州"],
[70,69,120,1.198,65,36,"良", "广州"],
[77,105,178,2.549,64,16,"良", "广州"],
[109,68,87,0.996,74,29,"轻度", "广州"],
[73,68,97,0.905,51,34,"良", "广州"],
[54,27,47,0.592,53,12,"良", "广州"],
[51,61,97,0.811,65,19,"良", "广州"],
[91,71,121,1.374,43,18,"良", "广州"],
[73,102,182,2.787,44,19,"良", "广州"],
[73,50,76,0.717,31,20,"良", "广州"],
[84,94,140,2.238,68,18,"良", "广州"],
[93,77,104,1.165,53,7,"良", "广州"],
[99,130,227,3.97,55,15,"良", "广州"],
[146,84,139,1.094,40,17,"轻度", "广州"],
[113,108,137,1.481,48,15,"轻度", "广州"],
[81,48,62,1.619,26,3,"良", "广州"],
[56,48,68,1.336,37,9,"良", "广州"],
[82,92,174,3.29,0,13,"良", "广州"],
[106,116,188,3.628,101,16,"轻度", "广州"],
[118,50,0,1.383,76,11,"轻度", "广州"],
[91,45,125,0.82,34,23,"良", "上海"],
[65,27,78,0.86,45,29,"良", "上海"],
[83,60,84,1.09,73,27,"良", "上海"],
[109,81,121,1.28,68,51,"轻度", "上海"],
[106,77,114,1.07,55,51,"轻度", "上海"],
[109,81,121,1.28,68,51,"轻度", "上海"],
[106,77,114,1.07,55,51,"轻度", "上海"],
[89,65,78,0.86,51,26,"良", "上海"],
[53,33,47,0.64,50,17,"良", "上海"],
[80,55,80,1.01,75,24,"良", "上海"],
[117,81,124,1.03,45,24,"轻度", "上海"],
[99,71,142,1.1,62,42,"良", "上海"],
[95,69,130,1.28,74,50,"良", "上海"],
[116,87,131,1.47,84,40,"轻度", "上海"],
[108,80,121,1.3,85,37,"轻度", "上海"],
[134,83,167,1.16,57,43,"轻度", "上海"],
[79,43,107,1.05,59,37,"良", "上海"],
[71,46,89,0.86,64,25,"良", "上海"],
[97,71,113,1.17,88,31,"良", "上海"],
[84,57,91,0.85,55,31,"良", "上海"],
[87,63,101,0.9,56,41,"良", "上海"],
[104,77,119,1.09,73,48,"轻度", "上海"],
[87,62,100,1,72,28,"良", "上海"],
[168,128,172,1.49,97,56,"中度", "上海"],
[65,45,51,0.74,39,17,"良", "上海"],
[39,24,38,0.61,47,17,"优", "上海"],
[39,24,39,0.59,50,19,"优", "上海"],
[93,68,96,1.05,79,29,"良", "上海"],
[188,143,197,1.66,99,51,"中度", "上海"],
[174,131,174,1.55,108,50,"中度", "上海"],
[187,143,201,1.39,89,53,"中度", "上海"]
];
//定义每行每列间隙大小
var CATEGORY_DIM_COUNT = 6;
var GAP = 3;
var BASE_LEFT = 5;
var BASE_TOP = 10;
//定义图表位置
var GRID_WIDTH = (100 - BASE_LEFT - GAP) / CATEGORY_DIM_COUNT - GAP;
var GRID_HEIGHT = (100 - BASE_TOP - GAP) / CATEGORY_DIM_COUNT - GAP;
//定义散点图矩阵中的点的带下
var CATEGORY_DIM = 7;
var SYMBOL_SIZE = 3;
function retrieveScatterData(data, dimX, dimY) {
var result = [];
for (var i = 0; i < data.length; i++) {
var item = [data[i][dimX], data[i][dimY]];
item[CATEGORY_DIM] = data[i][CATEGORY_DIM];
result.push(item);
}
return result;
}
function generateGrids(option) {
var index = 0;
for (var i = 0; i < CATEGORY_DIM_COUNT; i++) {
for (var j = 0; j < CATEGORY_DIM_COUNT; j++) {
if (CATEGORY_DIM_COUNT - i >= CATEGORY_DIM_COUNT+1) {
continue;
}
option.grid.push({
left: BASE_LEFT + i * (GRID_WIDTH + GAP) + '%',
top: BASE_TOP + j * (GRID_HEIGHT + GAP) + '%',
width: GRID_WIDTH + '%',
height: GRID_HEIGHT + '%'
});
option.brush.xAxisIndex && option.brush.xAxisIndex.push(index);
option.brush.yAxisIndex && option.brush.yAxisIndex.push(index);
option.xAxis.push({
splitNumber: 3,
position: 'top',
axisLine: {
show: j === 0,
onZero: false
},
axisTick: {
show: j === 0,
inside: true
},
axisLabel: {
show: j === 0
},
type: 'value',
gridIndex: index,
scale: true
});
option.yAxis.push({
splitNumber: 3,
position: 'right',
axisLine: {
show: i === CATEGORY_DIM_COUNT - 1,
onZero: false
},
axisTick: {
show: i === CATEGORY_DIM_COUNT - 1,
inside: true
},
axisLabel: {
show: i === CATEGORY_DIM_COUNT - 1
},
type: 'value',
gridIndex: index,
scale: true
});
option.series.push({
type: 'scatter',
symbolSize: SYMBOL_SIZE,
xAxisIndex: index,
yAxisIndex: index,
data: retrieveScatterData(rawData, i, j)
});
option.visualMap.seriesIndex.push(option.series.length - 1);
index++;
}
}
}
var option = {
animation: false,
brush: {
brushLink: 'all',
xAxisIndex: [],
yAxisIndex: [],
inBrush: {
opacity: 1
}
},
visualMap: {
type: 'piecewise',
categories: ["北京", "上海", "广州"],
dimension: CATEGORY_DIM,
orient: 'horizontal',
top: 10,
left: 'center',
inRange: {
color: ['#c23531','#2f4554', '#61a0a8']
},
outOfRange: {
color: '#ddd'
},
seriesIndex: [0]
},
tooltip: {
trigger: 'item'
},
parallel: {
bottom: '10%',
left: '5%',
height: '31%',
width: '55%',
parallelAxisDefault: {
type: 'value',
name: 'AQI指数',
nameLocation: 'end',
nameGap: 20,
splitNumber: 3,
nameTextStyle: {
fontSize: 14
},
axisLine: {
lineStyle: {
color: '#555'
}
},
axisTick: {
lineStyle: {
color: '#555'
}
},
splitLine: {
show: false
},
axisLabel: {
color: '#555'
}
}
},
grid: [],
xAxis: [],
yAxis: [],
series: [
{
name: 'parallel',
type: 'parallel',
smooth: true,
lineStyle: {
width: 40,
opacity: 0.3
},
data: rawData
}
]
};
generateGrids(option);
myChart.setOption(option);
3.点线链接式
效果图
html
<!DOCTYPE HTML>
<html>
<head>
<title>点线链接式</title>
<meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1">
<meta http-equiv="x-ua-compatible" content="ie=edge">
<link rel="icon" href="https://static.jianshukeji.com/hcode/images/favicon.ico">
<style>
#container {
min-width: 400px;
max-width: 800px;
margin: 0 auto;
}
</style>
<script src="https://code.highcharts.com.cn/highcharts/highcharts.js"></script>
<script src="https://code.highcharts.com.cn/highcharts/modules/exporting.js"></script>
<script src="https://code.highcharts.com.cn/highcharts/modules/oldie.js"></script>
<script src="https://code.highcharts.com.cn/highcharts/modules/networkgraph.js"></script>
</head>
<body>
<div id="container"></div>
<script src="./点线链接式.js"></script>
</body>
</html>
js
Highcharts.addEvent(
Highcharts.seriesTypes.networkgraph,
'afterSetOptions',
function (e) {
var colors = Highcharts.getOptions().colors,
i = 0,
nodes = {};
e.options.data.forEach(function (link) {
if (link[0] === 'Proto Indo-European') {
nodes['Proto Indo-European'] = {
id: 'Proto Indo-European',
marker: {
radius: 20
}
};
nodes[link[1]] = {
id: link[1],
marker: {
radius: 10
},
color: colors[i++]
};
} else if (nodes[link[0]] && nodes[link[0]].color) {
nodes[link[1]] = {
id: link[1],
color: nodes[link[0]].color
};
}
});
e.options.nodes = Object.keys(nodes).map(function (id) {
return nodes[id];
});
}
);
Highcharts.chart('container', {
chart: {
type: 'networkgraph',
height: '100%'
},
title: {
text: '点线链接式'
},
plotOptions: {
networkgraph: {
keys: ['from', 'to'],
layoutAlgorithm: {
enableSimulation: true
}
}
},
series: [{
dataLabels: {
enabled: true
},
data: [
['Proto Indo-European', 'Balto-Slavic'],
['Proto Indo-European', 'Germanic'],
['Proto Indo-European', 'Celtic'],
['Proto Indo-European', 'Italic'],
['Proto Indo-European', 'Hellenic'],
['Proto Indo-European', 'Anatolian'],
['Proto Indo-European', 'Indo-Iranian'],
['Proto Indo-European', 'Tocharian'],
['Indo-Iranian', 'Dardic'],
['Indo-Iranian', 'Indic'],
['Indo-Iranian', 'Iranian'],
['Iranian', 'Old Persian'],
['Old Persian', 'Middle Persian'],
['Indic', 'Sanskrit'],
['Italic', 'Osco-Umbrian'],
['Italic', 'Latino-Faliscan'],
['Latino-Faliscan', 'Latin'],
['Celtic', 'Brythonic'],
['Celtic', 'Goidelic'],
['Germanic', 'North Germanic'],
['Germanic', 'West Germanic'],
['Germanic', 'East Germanic'],
['North Germanic', 'Old Norse'],
['North Germanic', 'Old Swedish'],
['North Germanic', 'Old Danish'],
['West Germanic', 'Old English'],
['West Germanic', 'Old Frisian'],
['West Germanic', 'Old Dutch'],
['West Germanic', 'Old Low German'],
['West Germanic', 'Old High German'],
['Old Norse', 'Old Icelandic'],
['Old Norse', 'Old Norwegian'],
['Old Norwegian', 'Middle Norwegian'],
['Old Swedish', 'Middle Swedish'],
['Old Danish', 'Middle Danish'],
['Old English', 'Middle English'],
['Old Dutch', 'Middle Dutch'],
['Old Low German', 'Middle Low German'],
['Old High German', 'Middle High German'],
['Balto-Slavic', 'Baltic'],
['Balto-Slavic', 'Slavic'],
['Slavic', 'East Slavic'],
['Slavic', 'West Slavic'],
['Slavic', 'South Slavic'],
['Proto Indo-European', 'Phrygian'],
['Proto Indo-European', 'Armenian'],
['Proto Indo-European', 'Albanian'],
['Proto Indo-European', 'Thracian'],
['Tocharian', 'Tocharian A'],
['Tocharian', 'Tocharian B'],
['Anatolian', 'Hittite'],
['Anatolian', 'Palaic'],
['Anatolian', 'Luwic'],
['Anatolian', 'Lydian'],
['Iranian', 'Balochi'],
['Iranian', 'Kurdish'],
['Iranian', 'Pashto'],
['Iranian', 'Sogdian'],
['Old Persian', 'Pahlavi'],
['Middle Persian', 'Persian'],
['Hellenic', 'Greek'],
['Dardic', 'Dard'],
['Sanskrit', 'Sindhi'],
['Sanskrit', 'Romani'],
['Sanskrit', 'Urdu'],
['Sanskrit', 'Hindi'],
['Sanskrit', 'Bihari'],
['Sanskrit', 'Assamese'],
['Sanskrit', 'Bengali'],
['Sanskrit', 'Marathi'],
['Sanskrit', 'Gujarati'],
['Sanskrit', 'Punjabi'],
['Sanskrit', 'Sinhalese'],
['Osco-Umbrian', 'Umbrian'],
['Osco-Umbrian', 'Oscan'],
['Latino-Faliscan', 'Faliscan'],
['Latin', 'Portugese'],
['Latin', 'Spanish'],
['Latin', 'French'],
['Latin', 'Romanian'],
['Latin', 'Italian'],
['Latin', 'Catalan'],
['Latin', 'Franco-Provençal'],
['Latin', 'Rhaeto-Romance'],
['Brythonic', 'Welsh'],
['Brythonic', 'Breton'],
['Brythonic', 'Cornish'],
['Brythonic', 'Cuymbric'],
['Goidelic', 'Modern Irish'],
['Goidelic', 'Scottish Gaelic'],
['Goidelic', 'Manx'],
['East Germanic', 'Gothic'],
['Middle Low German', 'Low German'],
['Middle High German', '(High) German'],
['Middle High German', 'Yiddish'],
['Middle English', 'English'],
['Middle Dutch', 'Hollandic'],
['Middle Dutch', 'Flemish'],
['Middle Dutch', 'Dutch'],
['Middle Dutch', 'Limburgish'],
['Middle Dutch', 'Brabantian'],
['Middle Dutch', 'Rhinelandic'],
['Old Frisian', 'Frisian'],
['Middle Danish', 'Danish'],
['Middle Swedish', 'Swedish'],
['Middle Norwegian', 'Norwegian'],
['Old Norse', 'Faroese'],
['Old Icelandic', 'Icelandic'],
['Baltic', 'Old Prussian'],
['Baltic', 'Lithuanian'],
['Baltic', 'Latvian'],
['West Slavic', 'Polish'],
['West Slavic', 'Slovak'],
['West Slavic', 'Czech'],
['West Slavic', 'Wendish'],
['East Slavic', 'Bulgarian'],
['East Slavic', 'Old Church Slavonic'],
['East Slavic', 'Macedonian'],
['East Slavic', 'Serbo-Croatian'],
['East Slavic', 'Slovene'],
['South Slavic', 'Russian'],
['South Slavic', 'Ukrainian'],
['South Slavic', 'Belarusian'],
['South Slavic', 'Rusyn']
]
}]
});
**我的分享就结束啦~
如果代码部分有什么问题，可以评论区留言~**
原网址: 访问
创建于: 2023-01-12 16:32:22
目录: default
标签: 无
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