random.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5, 4, 1, 1, 8])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# randint\n",
    "# gera número inteiro aleatório dado um intervalo\n",
    "np.random.randint(0,10, size=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.64855699, 0.10291732],\n",
       "       [0.14988932, 0.61240147]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# random\n",
    "# só contem argumento size\n",
    "# gera valores aleatórios entre 0 e 1\n",
    "np.random.random(size=(2,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-3.37557228,  8.00870989],\n",
       "       [-5.59341957, -7.40178609]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# uniform\n",
    "# gera matriz com valores aleatórios no intervalo (a,b)\n",
    "np.random.uniform(-10, 10, size=(2,2))"
   ]
  }
 ],
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