# @xutil/math
> `x-math`数学
Latest version **0.0.3** (published 2023-09-21) · MIT license · 0 weekly downloads
## Install
```sh
npm install @xutil/math
pnpm add @xutil/math
yarn add @xutil/math
bun add @xutil/math
```
## Health
**Score 20/100 (F)** — status: abandoned.
Positive: esm support; no vulnerabilities.
Warnings: low downloads; no types; pre 1.0.
Negative: abandoned; low maintenance score.
## Facts
| | |
|---|---|
| Version | 0.0.3 |
| Published | 2023-09-21 |
| First published | 2023-09-19 |
| Weekly downloads | 0 |
| License | MIT |
| TypeScript types | none |
| Module format | ESM + CommonJS |
| Dependencies | 0 |
| Unpacked size | 18.2 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| Maintainers | veserise |
## Links
- npm: https://www.npmjs.com/package/@xutil/math
- npm.io page: https://npm.io/package/@xutil/math
## Recent versions
- 0.0.3 (latest) — 2023-09-21
- 0.0.2 — 2023-09-20
- 0.0.1 — 2023-09-19
## README
# Math 数学
`x-math`数学
## 📦 安装
* 使用 npm 安装
```js
npm install @xutil/math -S
```
* HTML直接引入
```html
```
## 🎨 使用
* ESM导入使用
```js
// 全部引入
import { average } from "@xutil/math"
console.log(average(1,2,3,5,10))
// 按需引入
import XMath from "@xutil/math"
console.log(XMath.average(1,2,3,5,10))
```
* RequireJS导入使用
```js
// 全部引入
const XMath = require('@xutil/math')
console.log(XMath.average(1,2,3,5,10))
// 按需引入
const { average } = require('@xutil/math')
console.log(average(1,2,3,5,10))
```
## 方法
```js
average 求平均数
averageBy 根据条件求平均数
digitize 转化为整数
sum 求和
toSafeInteger 安全整数
pascal 帕斯卡三角
randomNumberInRange 生成数字范围内的随机数
distance 两点之间的距离
isEven 给定的数字为偶数, 则返回true, 否则为false。
```
---
_Source: https://npm.io/package/@xutil/math · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._