{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ -3.10503618e+231  -3.10503618e+231  -3.10503618e+231]\n"
     ]
    }
   ],
   "source": [
    "print(np.empty(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ -3.10503618e+231   2.68677888e+154   6.92663118e-310]\n",
      " [  1.06099790e-313   6.92663119e-310   4.17211958e-309]]\n"
     ]
    }
   ],
   "source": [
    "print(np.empty((2, 3)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "float64\n"
     ]
    }
   ],
   "source": [
    "print(np.empty(3).dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-1152921504606846976 -1152921504606846976 -1152921504606846974]\n"
     ]
    }
   ],
   "source": [
    "print(np.empty(3, dtype=np.int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int64\n"
     ]
    }
   ],
   "source": [
    "print(np.empty(3, dtype=np.int).dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 1 2]\n",
      " [3 4 5]]\n"
     ]
    }
   ],
   "source": [
    "a_int = np.arange(6).reshape((2,3))\n",
    "print(a_int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[8070450532247928832 6917537789928580555     140196575903747]\n",
      " [        21474836480     140196576086528     844446404968448]]\n"
     ]
    }
   ],
   "source": [
    "print(np.empty_like(a_int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.   0.1  0.2]\n",
      " [ 0.3  0.4  0.5]]\n"
     ]
    }
   ],
   "source": [
    "a_float = np.arange(6).reshape((2,3)) / 10\n",
    "print(a_float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[  0.00000000e+000   4.94065646e-324   9.88131292e-324]\n",
      " [  1.48219694e-323   1.97626258e-323   2.47032823e-323]]\n"
     ]
    }
   ],
   "source": [
    "print(np.empty_like(a_float))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 1 2]\n",
      " [3 4 5]]\n"
     ]
    }
   ],
   "source": [
    "print(np.empty_like(a_float, dtype=np.int))"
   ]
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
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