{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 4</font>\n",
    "\n",
    "## Download: http://github.com/dsacademybr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Datetime\n",
    "Esse módulo permite a manipulação de datas em Python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "agora = datetime.datetime.now()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2018, 4, 5, 14, 1, 53, 388643)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agora"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "t = datetime.time(7, 43, 28)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "07:43:28\n"
     ]
    }
   ],
   "source": [
    "print (t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hora  : 7\n",
      "Minute: 43\n",
      "Segundo: 28\n",
      "Microsegundo: 0\n"
     ]
    }
   ],
   "source": [
    "print ('Hora  :', t.hour)\n",
    "print ('Minute:', t.minute)\n",
    "print ('Segundo:', t.second)\n",
    "print ('Microsegundo:', t.microsecond)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "00:00:00\n"
     ]
    }
   ],
   "source": [
    "print(datetime.time.min)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hoje = datetime.date.today()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-04-05\n",
      "ctime: Thu Apr  5 00:00:00 2018\n",
      "Ano: 2018\n",
      "Mês : 4\n",
      "Dia : 5\n"
     ]
    }
   ],
   "source": [
    "print (hoje)\n",
    "print ('ctime:', hoje.ctime())\n",
    "print ('Ano:', hoje.year)\n",
    "print ('Mês :', hoje.month)\n",
    "print ('Dia :', hoje.day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "d1: 2015-04-28\n"
     ]
    }
   ],
   "source": [
    "d1 = datetime.date(2015, 4, 28)\n",
    "print ('d1:', d1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "d2: 2016-04-28\n"
     ]
    }
   ],
   "source": [
    "d2 = d1.replace(year=2016)\n",
    "print ('d2:', d2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.timedelta(366)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Diferença em dias entre duas datas\n",
    "d2 - d1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FIM"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obrigado - Data Science Academy - <a href=\"http://facebook.com/dsacademybr\">facebook.com/dsacademybr</a>"
   ]
  }
 ],
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