test

numpy_extraction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[  0 128   8 136  16 144  24 152]\n",
      " [ 32 160  40 168  48 176  56 184]\n",
      " [ 64 192  72 200  80 208  88 216]\n",
      " [ 96 224 104 232 112 240 120 248]\n",
      " [128   0 136   8 144  16 152  24]\n",
      " [160  32 168  40 176  48 184  56]\n",
      " [192  64 200  72 208  80 216  88]\n",
      " [224  96 232 104 240 112 248 120]]\n"
     ]
    }
   ],
   "source": [
    "# make array\n",
    "a = np.arange(32).astype(np.uint8).reshape(4,8)*8\n",
    "b = a+128\n",
    "#\n",
    "x =a.reshape(-1,)\n",
    "y =b.reshape(-1,)\n",
    "vs_val = np.vstack((x,y)).reshape(2,-1)\n",
    "vs_val = vs_val.T.reshape(8,8)\n",
    "print(vs_val)\n",
    "\n",
    "#make image file\n",
    "pilImg = Image.fromarray(np.uint8(vs_val))\n",
    "pilImg.save('test20190114.pgm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0  1  2  3  4]\n",
      " [ 5  6  7  8  9]\n",
      " [10 11 12 13 14]\n",
      " [15 16 17 18 19]\n",
      " [20 21 22 23 24]]\n"
     ]
    }
   ],
   "source": [
    "x = np.arange(25).reshape(5,5)\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 5  6]\n",
      " [10 11]]\n"
     ]
    }
   ],
   "source": [
    "print(x[1:3,0:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1  2]\n",
      " [ 6  7]\n",
      " [11 12]\n",
      " [16 17]\n",
      " [21 22]]\n"
     ]
    }
   ],
   "source": [
    "print(x[:,1:3])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 5  6  7  8  9]\n",
      " [10 11 12 13 14]]\n"
     ]
    }
   ],
   "source": [
    "print(x[1:3,:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 5  6  7  8  9]\n",
      " [10 11 12 13 14]\n",
      " [15 16 17 18 19]\n",
      " [20 21 22 23 24]\n",
      " [ 0  1  2  3  4]]\n"
     ]
    }
   ],
   "source": [
    "xroll = np.roll(x, -1,axis=0)\n",
    "print(xroll)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 5  6  7  8  9]\n",
      " [10 11 12 13 14]\n",
      " [15 16 17 18 19]\n",
      " [20 21 22 23 24]\n",
      " [ 0  0  0  0  0]]\n"
     ]
    }
   ],
   "source": [
    "xroll[5-1:5,:]=0\n",
    "print(xroll)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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