matplotnode

C++ bindings for Node.js exposing a subset of matplotlib's functionality through the CPython API. Inspired by matplotlib-cpp by lava. Useful for scientific plotting.

Requirements

• Python 2.7 (might work on Python 3, not tested yet)
• matplotlib

Usage

$ npm install matplotnode

const plt = require('matplotnode');

Bindings

• plot([x], y, ...kwargs)*
• subplot(str)
• show()
• legend()
• grid(bool active)
• save(filename)
• xlim(from, to)
• ylim(from, to)
• title(name)
• axis(axis)
• xlabel(name)
• ylabel(name)
• clf()
• cla()
• close()
• xkcd()

*See how kwargs are implemented in test.js

Example

const plt = require('matplotnode');
const x = new Array(100).fill(0).map((x, i) => i / Math.PI);

// xkcd-style plot :)
plt.xkcd();

plt.subplot("211");
plt.title('trig');
plt.plot(x, x.map(Math.sin), 'color=r', 'label=sin(x)');
plt.plot(x, x.map(Math.cos), 'color=g', 'label=cos(x)');
plt.legend();

plt.subplot("212");
plt.plot(x, x.map(Math.sin).map((t, i) => t * i), 'color=b', 'label=x * sin(x)', 'marker=o', 'linestyle=None');
plt.legend();
plt.ylim(-100, 100);

plt.save("./examples/subplot.png");

const plt = require('matplotnode');
const x = new Array(100).fill(0).map((x, i) => i / Math.PI);

plt.plot(x, x.map(Math.sin));
plt.grid(true);
plt.show();