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  1. {
  2.  "cells": [
  3.   {
  4.    "cell_type": "code",
  5.    "execution_count": 1,
  6.    "metadata": {},
  7.    "outputs": [],
  8.    "source": [
  9.     "import numpy as np\n",
  10.     "import matplotlib.pyplot as plt"
  11.    ]
  12.   },
  13.   {
  14.    "cell_type": "code",
  15.    "execution_count": 2,
  16.    "metadata": {},
  17.    "outputs": [],
  18.    "source": [
  19.     "N = 50\n",
  20.     "x = np.random.rand(N)\n",
  21.     "y = np.random.rand(N)\n",
  22.     "colors = np.random.rand(N)\n",
  23.     "area = np.pi * (15 * np.random.rand(N))**2  # 0 to 15 point radii"
  24.    ]
  25.   },
  26.   {
  27.    "cell_type": "code",
  28.    "execution_count": 3,
  29.    "metadata": {},
  30.    "outputs": [
  31.     {
  32.      "data": {
  33.       "image/png": 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\n",
  34.       "text/plain": [
  35.        "<Figure size 432x288 with 1 Axes>"
  36.       ]
  37.      },
  38.      "metadata": {
  39.       "needs_background": "light"
  40.      },
  41.      "output_type": "display_data"
  42.     }
  43.    ],
  44.    "source": [
  45.     "plt.scatter(x, y, s=area, c=colors, alpha=0.5)\n",
  46.     "plt.show()"
  47.    ]
  48.   },
  49.   {
  50.    "cell_type": "code",
  51.    "execution_count": null,
  52.    "metadata": {},
  53.    "outputs": [],
  54.    "source": []
  55.   }
  56.  ],
  57.  "metadata": {
  58.   "kernelspec": {
  59.    "display_name": "Python 3",
  60.    "language": "python",
  61.    "name": "python3"
  62.   },
  63.   "language_info": {
  64.    "codemirror_mode": {
  65.     "name": "ipython",
  66.     "version": 3
  67.    },
  68.    "file_extension": ".py",
  69.    "mimetype": "text/x-python",
  70.    "name": "python",
  71.    "nbconvert_exporter": "python",
  72.    "pygments_lexer": "ipython3",
  73.    "version": "3.6.5"
  74.   }
  75.  },
  76.  "nbformat": 4,
  77.  "nbformat_minor": 2
  78. }
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