{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "data = np.array([14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0],dtype=float)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "\n",
    "ax.set_xlim(0, 100)\n",
    "ax.set_ylim(0, 25)\n",
    "ax.plot(data,color='blue',linewidth=1)\n",
    "ax.grid(True, linestyle='dotted',color='black',alpha=1)\n",
    "ax.tick_params(direction='in',grid_color='black',length=5, width=.7)\n",
    "ax.tick_params(bottom=True, top=True, left=True, right=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "fig, ax = plt.subplots(figsize=(10,8))\n",
    "ax.set_xlim(0, 25)\n",
    "ax.set_ylim(0, 25)\n",
    "\n",
    "ax.tick_params(direction='in',grid_color='black', length=5, width=.7)\n",
    "ax.tick_params(bottom=True, top=True, left=True, right=True)\n",
    "\n",
    "ax.grid(True, linestyle='dotted',color='black',alpha=1)\n",
    "ax.hist(data,color='blue',histtype='bar',edgeColor = 'black',alpha=1)\n",
    "plt.show()\n"
   ]
  },
  {
   "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}