style_hist.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TW+hYuj4fAI4xezxL2ukczzKWedqW7W+MrUnyfOBWYNMJv9kvO1X106r6NWZ/i784yciX1xbtPPrTVVWvO82ufw98Abh2EcvpZaFjSbIBeBOwtpbyhyOdM/i3WY4WvE2HxqNby74VuLGqPjfueoalqp5McjdwKTDSD87HPqM/lSRr5mxeBjw0rlr66v4Qy9XAZVX1k3HXI2/TsRR1H15uBw5U1UfGXU9fSSaOn2GX5DnA6xhDji31s25uZfbOlk8D3wbeVVXfGW9Vg0lyEHgW8F9d0z3L9QwigCS/C/wVMAE8CeyrqtePt6ozk+SNwMf4v9t0XD/mkgaS5CbgEmbvkDgDXFtV28da1ICS/Cbwb8DXmf1/D/D+7kr7ZSfJy4EdzH6PPQO4uaquG3kdSznoJUn9LemlG0lSfwa9JDXOoJekxhn0ktQ4g16SGmfQS1LjDHpJapxBL0mN+x+T7fU4VuGm+gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dados = np.random.randn(500)\n",
    "plt.hist(dados,alpha=0.5, color='purple',edgecolor='black')\n",
    "plt.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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}