ansi-chart/dataset.js

A lightweight and simple tool for rendering beautiful charts directly in your terminal using only ANSI-compatible ASCII characters. Create bar charts, line graphs, and more with customizable styles, all without external dependencies. Perfect for CLI appli

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.Dataset = void 0;
class Dataset {
    constructor(values) {
        if (!values)
            this.values = [];
        else
            this.values = values;
    }
    rows(indices) {
        return new Dataset(this.values.filter((r, i) => indices.includes(i)));
    }
    columns(indices) {
        return new Dataset(this.values.map((v) => v.filter((v, i) => indices.includes(i))));
    }
    row(index) {
        return this.values[index];
    }
    column(index) {
        return this.values.map((v) => v[index]);
    }
    get(row, column) {
        return this.values[row][column];
    }
    set(row, column, value) {
        this.values[row][column] = value;
    }
    append(value) {
        this.values.push(value);
        return this;
    }
    toArray() {
        return this.values;
    }
    get size() {
        return {
            rows: this.values.length,
            columns: this.values[0]?.length ?? 0,
        };
    }
    sum(column) {
        return this.column(column).reduce((acc, cur) => acc + cur);
    }
    mean(column) {
        return this._mean(this.column(column));
    }
    median(column) {
        const col = this.column(column);
        col.sort(function (a, b) {
            return a - b;
        });
        const mid = col.length / 2;
        return mid % 1 ? col[mid - 0.5] : (col[mid - 1] + col[mid]) / 2;
    }
    variance(column) {
        const col = this.column(column);
        const mean = this._mean(col);
        return this._mean(col.map(function (num) {
            return Math.pow(num - mean, 2);
        }));
    }
    standardDeviation(column) {
        return Math.sqrt(this.variance(column));
    }
    _mean(array) {
        return array.reduce((acc, cur) => acc + cur) / array.length;
    }
}
exports.Dataset = Dataset;
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