Plotly.js

散点图

源代码

var xArray = [50,60,70,80,90,100,110,120,130,140,150];
var yArray = [7,8,8,9,9,9,10,11,14,14,15];

// 定义数据
var data = [{
  x: xArray,
  y: yArray,
  mode:"markers",
  type:"scatter"
}];

// 定义布局
var layout = {
  xaxis: {range: [40, 160], title: "平方米"},
  yaxis: {range: [5, 16], title: "价格（百万元）"},
  title: "房价 vs. 面积"
};

Plotly.newPlot("myPlot", data, layout);

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折线图

源代码

var xArray = [50,60,70,80,90,100,110,120,130,140,150];
var yArray = [7,8,8,9,9,9,10,11,14,14,15];

// 定义数据
var data = [{
  x: xArray,
  y: yArray,
  mode: "lines",
  type: "scatter"
}];

// 定义布局
var layout = {
  xaxis: {range: [40, 160], title: "平方米"},
  yaxis: {range: [5, 16], title: "价格（百万元）"},
  title: "房价 vs. 面积"
};

// 使用 Plotly 来显示
Plotly.newPlot("myPlot", data, layout);

点击 "运行实例" 按钮查看在线实例

线性图

源代码

var exp = "x + 17";

// 生成值
var xValues = [];
var yValues = [];
for (var x = 0; x <= 10; x += 1) {
  yValues.push(eval(exp));
  xValues.push(x);
}

// 定义数据
var data = [{
  x: xValues,
  y: yValues,
  mode: "lines"
}];

// 定义布局
var layout = {title: "y = " + exp};

// 使用 Plotly 来显示
Plotly.newPlot("myPlot", data, layout);

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多行

源代码

var exp1 = "x";
var exp2 = "1.5*x";
var exp3 = "1.5*x + 7";

// 生成值

var x1Values = [];
var x2Values = [];
var x3Values = [];
var y1Values = [];
var y2Values = [];
var y3Values = [];

for (var x = 0; x <= 10; x += 1) {
  x1Values.push(x);
  x2Values.push(x);
  x3Values.push(x);
  y1Values.push(eval(exp1));
  y2Values.push(eval(exp2));
  y3Values.push(eval(exp3));
}

// 定义数据
var data = [
  {x: x1Values, y: y1Values, mode:"lines"},
  {x: x2Values, y: y2Values, mode:"lines"},
  {x: x3Values, y: y3Values, mode:"lines"}
];

// 定义布局
var layout = {title: "[y=" + exp1 + "] [y=" + exp2 + "] [y=" + exp3 + "]"};

// 使用 Plotly 来显示
Plotly.newPlot("myPlot", data, layout);

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条形图

源代码

var xArray = ["意大利","法国","西班牙","美国","阿根廷"];
var yArray = [55, 49, 44, 24, 15];

var data = [{
  x: xArray,
  y: yArray,
  type: "bar"  }];
var layout = {title:"全球葡萄酒生产"};

Plotly.newPlot("myPlot", data, layout);

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水平条形图

源代码

var xArray = [55, 49, 44, 24, 15];
var yArray = ["意大利","法国","西班牙","美国","阿根廷"];

var data = [{
  x: xArray,
  y: yArray,
  type: "bar",
  orientation: "h"
}];

var layout = {title:"全球葡萄酒生产"};

Plotly.newPlot("myPlot", data, layout);

点击 "运行实例" 按钮查看在线实例

饼图

如需显示饼图而不是条形图，请将 x 和 y 更改为 labels 和 values ，并将 type 更改为 "pie"：

var data = [{
  labels: xArray,
  values: yArray,
  type: "pie"
}];

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甜甜圈图

如需显示甜甜圈而不是饼图，请添加一个 hole：

var data = [{
  labels: xArray,
  values: yArray,
  hole: .4,
  type: "pie"
}];

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绘制方程

源代码

var exp = "Math.sin(x)";

// 生成值
var xValues = [];
var yValues = [];
for (var x = 0; x <= 10; x += 0.1) {
  yValues.push(eval(exp));
  xValues.push(x);
}

// 使用 Plotly 来显示
var data = [{x:xValues, y:yValues, mode:"lines"}];
var layout = {title: "y = " + exp};
Plotly.newPlot("myPlot", data, layout);

点击 "运行实例" 按钮查看在线实例

点击 "运行实例" 按钮查看在线实例