{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Scatter 3D\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nimport matplotlib.pyplot as plt\n\n\ndef randrange(n, vmin, vmax):\n    return (vmax - vmin) * np.random.rand(n) + vmin\n\n\nfig = plt.figure()\nax = fig.add_subplot(111, projection=\"3d\")\nn = 100\nfor c, m, zl, zh in [(\"r\", \"o\", -50, -25), (\"b\", \"^\", -30, -5)]:\n    xs = randrange(n, 23, 32)\n    ys = randrange(n, 0, 100)\n    zs = randrange(n, zl, zh)\n    ax.scatter(xs, ys, zs, c=c, marker=m)\n\nax.set_xlabel(\"X Label\")\nax.set_ylabel(\"Y Label\")\nax.set_zlabel(\"Z Label\")\n\nplt.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}