hoge.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:02409daf487020a689bb08aff53e2e29dcf334faa027a39e951137922b9642d4"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "from scipy import misc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr = np.array([\n",
      "    [0.1, 0.2, 0.3, 0.4],\n",
      "    [0.5, 0.6, 0.7, 0.8]\n",
      "])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "misc.imsave(\"/home/domitry/hoge.png\", arr)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr=np.array([[[0,1], [1,2]], [[0,1], [1,2]]])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr = np.array([[[ 1.21255529, -0.3938947 , -0.54578036],\n",
      "        [ 0.77679747, -1.37460458,  0.96078122],\n",
      "        [ 2.4723177 , -1.06321895, -1.66590321],\n",
      "        [ 0.6950469 , -0.4063907 , -0.84338689]],\n",
      "\n",
      "       [[ 0.02496378,  0.16250661,  0.44537154],\n",
      "        [-0.33413932,  1.21392608, -0.06310973],\n",
      "        [ 1.18955934, -0.47675383, -0.90231454],\n",
      "        [ 1.22462106, -1.43571079, -1.70498145]],\n",
      "\n",
      "       [[-0.28524151,  1.70603204,  1.07846832],\n",
      "        [-0.48489493, -1.60688257,  0.44301993],\n",
      "        [-1.45467246, -0.49267125, -0.53261089],\n",
      "        [ 0.07929045, -0.42402181, -1.61823952]],\n",
      "\n",
      "       [[-0.50817877,  1.4740814 , -0.32837248],\n",
      "        [-0.91768545, -0.19822542, -0.58821714],\n",
      "        [ 0.02163632, -0.3047007 ,  1.44845462],\n",
      "        [-0.36023185, -0.20242979,  0.5471952 ]],\n",
      "\n",
      "       [[-1.24845898,  0.76220262, -0.63447714],\n",
      "        [ 0.98508805,  1.73147178,  0.37828854],\n",
      "        [ 0.64867836,  0.23099023,  0.09250945],\n",
      "        [ 0.91038644, -1.31757283, -0.64555782]]], dtype=np.float32)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 36
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 40,
       "text": [
        "(5, 4, 3)"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 41,
       "text": [
        "array([[[ 1.21255529, -0.3938947 , -0.54578036],\n",
        "        [ 0.77679747, -1.37460458,  0.96078122],\n",
        "        [ 2.4723177 , -1.06321895, -1.66590321],\n",
        "        [ 0.6950469 , -0.4063907 , -0.84338689]],\n",
        "\n",
        "       [[ 0.02496378,  0.16250661,  0.44537154],\n",
        "        [-0.33413932,  1.21392608, -0.06310973],\n",
        "        [ 1.18955934, -0.47675383, -0.90231454],\n",
        "        [ 1.22462106, -1.43571079, -1.70498145]],\n",
        "\n",
        "       [[-0.28524151,  1.70603204,  1.07846832],\n",
        "        [-0.48489493, -1.60688257,  0.44301993],\n",
        "        [-1.45467246, -0.49267125, -0.53261089],\n",
        "        [ 0.07929045, -0.42402181, -1.61823952]],\n",
        "\n",
        "       [[-0.50817877,  1.4740814 , -0.32837248],\n",
        "        [-0.91768545, -0.19822542, -0.58821714],\n",
        "        [ 0.02163632, -0.3047007 ,  1.44845462],\n",
        "        [-0.36023185, -0.20242979,  0.5471952 ]],\n",
        "\n",
        "       [[-1.24845898,  0.76220262, -0.63447714],\n",
        "        [ 0.98508805,  1.73147178,  0.37828854],\n",
        "        [ 0.64867836,  0.23099023,  0.09250945],\n",
        "        [ 0.91038644, -1.31757283, -0.64555782]]], dtype=float32)"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "arr.reshape(20, 3)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 39,
       "text": [
        "array([[ 1.21255529, -0.3938947 , -0.54578036],\n",
        "       [ 0.77679747, -1.37460458,  0.96078122],\n",
        "       [ 2.4723177 , -1.06321895, -1.66590321],\n",
        "       [ 0.6950469 , -0.4063907 , -0.84338689],\n",
        "       [ 0.02496378,  0.16250661,  0.44537154],\n",
        "       [-0.33413932,  1.21392608, -0.06310973],\n",
        "       [ 1.18955934, -0.47675383, -0.90231454],\n",
        "       [ 1.22462106, -1.43571079, -1.70498145],\n",
        "       [-0.28524151,  1.70603204,  1.07846832],\n",
        "       [-0.48489493, -1.60688257,  0.44301993],\n",
        "       [-1.45467246, -0.49267125, -0.53261089],\n",
        "       [ 0.07929045, -0.42402181, -1.61823952],\n",
        "       [-0.50817877,  1.4740814 , -0.32837248],\n",
        "       [-0.91768545, -0.19822542, -0.58821714],\n",
        "       [ 0.02163632, -0.3047007 ,  1.44845462],\n",
        "       [-0.36023185, -0.20242979,  0.5471952 ],\n",
        "       [-1.24845898,  0.76220262, -0.63447714],\n",
        "       [ 0.98508805,  1.73147178,  0.37828854],\n",
        "       [ 0.64867836,  0.23099023,  0.09250945],\n",
        "       [ 0.91038644, -1.31757283, -0.64555782]], dtype=float32)"
       ]
      }
     ],
     "prompt_number": 39
    }
   ],
   "metadata": {}
  }
 ]
}