Percentiles.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Percentiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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A+DQwfZx++4Ez1mqNDA6GfxV4HnAycBdw9irW+HfArra8C3jXPP2+vcr7bsH9AvwB8M9t+Y3AdWuwxrcA/zCJ999QDa8CzgG+OM/2C4GPAQHOA25fgzW+GvjohPfjmcA5bfkZwFfm+Pde8r50RD+Hqrq/qtbyB7hGrfHHl6Ooqu8DRy9HsVq2Abvb8m7g4lV87eMZZb8M134DcH6SrLEaJ66qPgN84zhdtgHX1MBtwClJzlyd6gZGqHHiqupQVX2+LX8LuJ/BVQaGLXlfGvTLU8Ank9zRPum71sx1OYpj3zwraUNVHWrLjwAb5un31CQzSW5Lshq/DEbZLz/uU1VPAEeA01ehtp95/Wa+f7vfan/G35Bk8xzbJ23S78FRvSzJXUk+luSXJllImyZ8CXD7MZuWvC9P2OvRJ/kU8Ow5Nv15Vd044tO8sqoOJnkWcHOSL7XRw1qqcUUdr8bhlaqqJPOd4vXcth+fB9yS5J6q+uq4a+3QfwEfrKrvJfl9Bn+BvGbCNa1Hn2fwHvx2kguB/wS2TqKQJE8HPgS8o6q+Oa7nPWGDvqp+dQzPcbDdH07yEQZ/bo8t6MdQ40iXo1iO49WY5NEkZ1bVofYn5uF5nuPofnwwyacZjGZWMuhH2S9H+xxI8iTgmcDXV7CmYy1YY1UN13MVg2Mia82KvweXazhQq+qmJP+U5IyqWtVr4CR5MoOQ/0BVfXiOLkvel07dLFGSpyV5xtFl4NeBOY/qT9CkL0exB9jelrcDP/NXSJJTkzylLZ8BvIKVv6T1KPtluPbXA7dUOyK2Shas8Zj52dcxmNdda/YAb25njJwHHBmazlsTkjz76PGXJOcyyMXV/KVOe/2rgfur6t3zdFv6vpzkkea1egN+k8H81/eAR4FPtPZfAG5qy89jcCbEXcC9DKZT1lSN9ZMj9V9hMEJe7RpPB/YCDwCfAk5r7dMMvnkM4OXAPW0/3gPsWKXafma/AH8NvK4tPxX4D2Af8FngeRN4Hy5U49+2995dwK3ACydQ4weBQ8AP2vtxB/BW4K1texh8EdFX27/vvGexTbDGtw3tx9uAl0+gxlcyOOZ3N3Bnu104rn3pJ2MlqXNO3UhS5wx6SeqcQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI69/+MrPlthJJA6QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "vals = np.random.normal(0, 0.5, 10000)\n",
    "\n",
    "plt.hist(vals, 50)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.001425148607195855"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.percentile(vals, 50) #median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6415754366784567"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.percentile(vals, 90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.42513261752742604"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.percentile(vals, 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Activity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Experiment with different parameters when creating the test data. What effect does it have on the percentiles?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.7"
  }
 },
 "nbformat": 4,
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}