blob: f4c055db6569136d13f0cb28b4665824cf27a424 [file] [log] [blame]
/*
title: Heatmap - 20K data
category: heatmap
titleCN: 热力图 - 2w 数据
difficulty: 2
*/
let noise = getNoiseHelper();
let xData: number[] = [];
let yData: number[] = [];
noise.seed(Math.random());
function generateData(theta: number, min: number, max: number) {
let data: number[][] = [];
for (let i = 0; i <= 200; i++) {
for (let j = 0; j <= 100; j++) {
// let x = (max - min) * i / 200 + min;
// let y = (max - min) * j / 100 + min;
data.push([i, j, noise.perlin2(i / 40, j / 20) + 0.5]);
// data.push([i, j, normalDist(theta, x) * normalDist(theta, y)]);
}
xData.push(i);
}
for (let j = 0; j < 100; j++) {
yData.push(j);
}
return data;
}
let data = generateData(2, -5, 5);
option = {
tooltip: {},
xAxis: {
type: 'category',
data: xData
},
yAxis: {
type: 'category',
data: yData
},
visualMap: {
min: 0,
max: 1,
calculable: true,
realtime: false,
inRange: {
color: [
'#313695',
'#4575b4',
'#74add1',
'#abd9e9',
'#e0f3f8',
'#ffffbf',
'#fee090',
'#fdae61',
'#f46d43',
'#d73027',
'#a50026'
]
}
},
series: [
{
name: 'Gaussian',
type: 'heatmap',
data: data,
emphasis: {
itemStyle: {
borderColor: '#333',
borderWidth: 1
}
},
progressive: 1000,
animation: false
}
]
};
///////////////////////////////////////////////////////////////////////////
// perlin noise helper from https://github.com/josephg/noisejs
///////////////////////////////////////////////////////////////////////////
function getNoiseHelper() {
class Grad {
x: number;
y: number;
z: number;
constructor(x: number, y: number, z: number) {
this.x = x;
this.y = y;
this.z = z;
}
dot2(x: number, y: number) {
return this.x * x + this.y * y;
}
dot3(x: number, y: number, z: number) {
return this.x * x + this.y * y + this.z * z;
}
}
const grad3 = [
new Grad(1, 1, 0),
new Grad(-1, 1, 0),
new Grad(1, -1, 0),
new Grad(-1, -1, 0),
new Grad(1, 0, 1),
new Grad(-1, 0, 1),
new Grad(1, 0, -1),
new Grad(-1, 0, -1),
new Grad(0, 1, 1),
new Grad(0, -1, 1),
new Grad(0, 1, -1),
new Grad(0, -1, -1)
];
const p = [
151, 160, 137, 91, 90, 15, 131, 13, 201, 95, 96, 53, 194, 233, 7, 225, 140,
36, 103, 30, 69, 142, 8, 99, 37, 240, 21, 10, 23, 190, 6, 148, 247, 120,
234, 75, 0, 26, 197, 62, 94, 252, 219, 203, 117, 35, 11, 32, 57, 177, 33,
88, 237, 149, 56, 87, 174, 20, 125, 136, 171, 168, 68, 175, 74, 165, 71,
134, 139, 48, 27, 166, 77, 146, 158, 231, 83, 111, 229, 122, 60, 211, 133,
230, 220, 105, 92, 41, 55, 46, 245, 40, 244, 102, 143, 54, 65, 25, 63, 161,
1, 216, 80, 73, 209, 76, 132, 187, 208, 89, 18, 169, 200, 196, 135, 130,
116, 188, 159, 86, 164, 100, 109, 198, 173, 186, 3, 64, 52, 217, 226, 250,
124, 123, 5, 202, 38, 147, 118, 126, 255, 82, 85, 212, 207, 206, 59, 227,
47, 16, 58, 17, 182, 189, 28, 42, 223, 183, 170, 213, 119, 248, 152, 2, 44,
154, 163, 70, 221, 153, 101, 155, 167, 43, 172, 9, 129, 22, 39, 253, 19, 98,
108, 110, 79, 113, 224, 232, 178, 185, 112, 104, 218, 246, 97, 228, 251, 34,
242, 193, 238, 210, 144, 12, 191, 179, 162, 241, 81, 51, 145, 235, 249, 14,
239, 107, 49, 192, 214, 31, 181, 199, 106, 157, 184, 84, 204, 176, 115, 121,
50, 45, 127, 4, 150, 254, 138, 236, 205, 93, 222, 114, 67, 29, 24, 72, 243,
141, 128, 195, 78, 66, 215, 61, 156, 180
];
// To remove the need for index wrapping, double the permutation table length
let perm = new Array(512);
let gradP = new Array(512);
// This isn't a very good seeding function, but it works ok. It supports 2^16
// different seed values. Write something better if you need more seeds.
function seed(seed: number) {
if (seed > 0 && seed < 1) {
// Scale the seed out
seed *= 65536;
}
seed = Math.floor(seed);
if (seed < 256) {
seed |= seed << 8;
}
for (let i = 0; i < 256; i++) {
let v;
if (i & 1) {
v = p[i] ^ (seed & 255);
} else {
v = p[i] ^ ((seed >> 8) & 255);
}
perm[i] = perm[i + 256] = v;
gradP[i] = gradP[i + 256] = grad3[v % 12];
}
}
seed(0);
// ##### Perlin noise stuff
function fade(t: number) {
return t * t * t * (t * (t * 6 - 15) + 10);
}
function lerp(a: number, b: number, t: number) {
return (1 - t) * a + t * b;
}
// 2D Perlin Noise
function perlin2(x: number, y: number) {
// Find unit grid cell containing point
let X = Math.floor(x),
Y = Math.floor(y);
// Get relative xy coordinates of point within that cell
x = x - X;
y = y - Y;
// Wrap the integer cells at 255 (smaller integer period can be introduced here)
X = X & 255;
Y = Y & 255;
// Calculate noise contributions from each of the four corners
let n00 = gradP[X + perm[Y]].dot2(x, y);
let n01 = gradP[X + perm[Y + 1]].dot2(x, y - 1);
let n10 = gradP[X + 1 + perm[Y]].dot2(x - 1, y);
let n11 = gradP[X + 1 + perm[Y + 1]].dot2(x - 1, y - 1);
// Compute the fade curve value for x
let u = fade(x);
// Interpolate the four results
return lerp(lerp(n00, n10, u), lerp(n01, n11, u), fade(y));
}
return {
seed,
perlin2
};
}
export {};