Python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introducción a Python\n",
    "\n",
    "Links:\n",
    "- [Code Wars](https://www.codewars.com/)\n",
    "- [Notas de Beto](https://github.com/abcsds/Notebooks)\n",
    "- [Try python](http://campus.codeschool.com/courses/try-python/contents)\n",
    "- [Markdown Cheatsheet](https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet#videos)\n",
    "\n",
    "Escribir un \"Helllo world\"\n",
    "\n",
    "``` python\n",
    "print hello world\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hola mundo\n"
     ]
    }
   ],
   "source": [
    "print \"Hola mundo\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    print i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "i= 0\n",
    "while i < 10:\n",
    "    print i\n",
    "    i += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "if i == 9:\n",
    "    print \"True\"\n",
    "elif i == 10:\n",
    "    print \"None\"\n",
    "else:\n",
    "    print \"False\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "maximum recursion depth exceeded in cmp",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-9-8457811d6bf7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0;32mprint\u001b[0m \u001b[0mmiFun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-9-8457811d6bf7>\u001b[0m in \u001b[0;36mmiFun\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmiFun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mb\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmiFun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "... last 1 frames repeated, from the frame below ...\n",
      "\u001b[0;32m<ipython-input-9-8457811d6bf7>\u001b[0m in \u001b[0;36mmiFun\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mmiFun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mb\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mmiFun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mRuntimeError\u001b[0m: maximum recursion depth exceeded in cmp"
     ]
    }
   ],
   "source": [
    "a = 2\n",
    "b = 1\n",
    "def miFun(a, b):\n",
    "    if a > 0 and b > 0:\n",
    "        return miFun(a+b, a-b)\n",
    "    else:\n",
    "        return a,b\n",
    "print miFun(a,b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n"
     ]
    }
   ],
   "source": [
    "print True and False or not True\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 1.0 (1+1j)\n"
     ]
    }
   ],
   "source": [
    "a = 1\n",
    "b = 1.0\n",
    "c = a + 1j * b\n",
    "print a,b,c "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a/b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0x12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0b0100101"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "982"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0o1726"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2+1j)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a + c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\xc3\\xb1'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"ñ\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'\\xf1'"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "u\"ñ\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\"\"\"\"\"\"\"\"\n"
     ]
    }
   ],
   "source": [
    "print '\"\"\"\"\"\"\"\"'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'''''''''\n"
     ]
    }
   ],
   "source": [
    "print \"'''''''''\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Hola mundo\n",
      "en dos lineas\n",
      "ñ\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print u'''\n",
    "Hola mundo\n",
    "en dos lineas\n",
    "ñ\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "l = [1,2,True,2.7]\n",
    "t = (9, 34, 0b1111)\n",
    "d = {a:'Perro', b:'Chip'}\n",
    "s = set((1, 1 ,2 ,2 ,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "set([1, 2])\n"
     ]
    }
   ],
   "source": [
    "print s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 'Perro', 2.7]\n"
     ]
    }
   ],
   "source": [
    "l[2]=\"Perro\"\n",
    "print l"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'tuple' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-54-7ec7066bacd7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mt\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"Soy tu padre\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: 'tuple' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "t[2] = \"Soy tu padre\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Chip'"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d[a]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "Perro\n",
      "2.7\n"
     ]
    }
   ],
   "source": [
    "for i in l:\n",
    "    print i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def fib(a, b):\n",
    "    if a+b > 1000:\n",
    "        return a+b\n",
    "    return fib(b, a+b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: []\n",
       "Index: []"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>[2, 3, 4]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           0\n",
       "0          2\n",
       "1          2\n",
       "2          3\n",
       "3          4\n",
       "4          5\n",
       "5          6\n",
       "6          8\n",
       "7          9\n",
       "8  [2, 3, 4]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame([2,2,3,4,5,6,8,9,[2,3,4]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"DataClub.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>Nombre(s)</th>\n",
       "      <th>Apellido(s)</th>\n",
       "      <th>Carrera</th>\n",
       "      <th>Correo de contacto</th>\n",
       "      <th>Edad</th>\n",
       "      <th>Sexo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016/04/27 4:51:34 PM EST</td>\n",
       "      <td>Mario</td>\n",
       "      <td>Pantoja Alvarez</td>\n",
       "      <td>Electrónica</td>\n",
       "      <td>m.pantojaalvarez@ugto.mx</td>\n",
       "      <td>18</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016/04/27 5:38:02 PM EST</td>\n",
       "      <td>Mauricio</td>\n",
       "      <td>Valadez Olmos</td>\n",
       "      <td>Mecatrónica</td>\n",
       "      <td>mau36_rtc@hotmail.com</td>\n",
       "      <td>19</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016/04/28 2:57:37 AM EST</td>\n",
       "      <td>Enrique</td>\n",
       "      <td>Calderón</td>\n",
       "      <td>Mecatrónica</td>\n",
       "      <td>ecalderon_1@hotmail.com</td>\n",
       "      <td>18</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016/04/28 1:01:05 PM EST</td>\n",
       "      <td>Diana Ivette</td>\n",
       "      <td>Gutierrez Cisneros</td>\n",
       "      <td>Artes</td>\n",
       "      <td>plataforma87@gmail.com</td>\n",
       "      <td>27</td>\n",
       "      <td>Femenino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016/04/28 1:02:26 PM EST</td>\n",
       "      <td>Armando</td>\n",
       "      <td>Amezcua Mora</td>\n",
       "      <td>Artes</td>\n",
       "      <td>legionary_raoh99@live.com.mx</td>\n",
       "      <td>24</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2016/05/02 10:05:06 PM EST</td>\n",
       "      <td>Martín</td>\n",
       "      <td>DeLeón Ramíres</td>\n",
       "      <td>Mecatrónica</td>\n",
       "      <td>rlemartin95@gmail.com</td>\n",
       "      <td>21</td>\n",
       "      <td>Masculino</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Timestamp     Nombre(s)         Apellido(s)      Carrera  \\\n",
       "0   2016/04/27 4:51:34 PM EST         Mario     Pantoja Alvarez  Electrónica   \n",
       "1   2016/04/27 5:38:02 PM EST      Mauricio       Valadez Olmos  Mecatrónica   \n",
       "2   2016/04/28 2:57:37 AM EST       Enrique           Calderón   Mecatrónica   \n",
       "3   2016/04/28 1:01:05 PM EST  Diana Ivette  Gutierrez Cisneros        Artes   \n",
       "4   2016/04/28 1:02:26 PM EST       Armando        Amezcua Mora        Artes   \n",
       "5  2016/05/02 10:05:06 PM EST        Martín      DeLeón Ramíres  Mecatrónica   \n",
       "\n",
       "             Correo de contacto  Edad       Sexo  \n",
       "0      m.pantojaalvarez@ugto.mx    18  Masculino  \n",
       "1         mau36_rtc@hotmail.com    19  Masculino  \n",
       "2       ecalderon_1@hotmail.com    18  Masculino  \n",
       "3        plataforma87@gmail.com    27   Femenino  \n",
       "4  legionary_raoh99@live.com.mx    24  Masculino  \n",
       "5         rlemartin95@gmail.com    21  Masculino  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110c073d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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27pIkXO7YRc5jUDvAhIznlDFTxtlBzrPKmKkLl7sk9ZCdezU5Os1EfWLlDDnkmAc4k5Ec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\n+n/Uhg+sKNG7MQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110c120d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "df[\"Edad\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}