{
 "metadata": {
  "name": "",
  "signature": "sha256:cc83610020aaa19602888c1b20685f8d937903731432042187ad534ed6d666b6"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sys import getsizeof\n",
      "from scipy.ndimage import imread\n",
      "import numpy as np\n",
      "img = imread('mp.tif')\n",
      "print(img.dtype, getsizeof(img[0,0]))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "uint8 24\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "dir(img[0,0])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "['T',\n",
        " '__abs__',\n",
        " '__add__',\n",
        " '__and__',\n",
        " '__array__',\n",
        " '__array_interface__',\n",
        " '__array_priority__',\n",
        " '__array_struct__',\n",
        " '__array_wrap__',\n",
        " '__bool__',\n",
        " '__class__',\n",
        " '__copy__',\n",
        " '__deepcopy__',\n",
        " '__delattr__',\n",
        " '__dir__',\n",
        " '__divmod__',\n",
        " '__doc__',\n",
        " '__eq__',\n",
        " '__float__',\n",
        " '__floordiv__',\n",
        " '__format__',\n",
        " '__ge__',\n",
        " '__getattribute__',\n",
        " '__getitem__',\n",
        " '__gt__',\n",
        " '__hash__',\n",
        " '__index__',\n",
        " '__init__',\n",
        " '__int__',\n",
        " '__invert__',\n",
        " '__le__',\n",
        " '__lshift__',\n",
        " '__lt__',\n",
        " '__mod__',\n",
        " '__mul__',\n",
        " '__ne__',\n",
        " '__neg__',\n",
        " '__new__',\n",
        " '__or__',\n",
        " '__pos__',\n",
        " '__pow__',\n",
        " '__radd__',\n",
        " '__rand__',\n",
        " '__rdivmod__',\n",
        " '__reduce__',\n",
        " '__reduce_ex__',\n",
        " '__repr__',\n",
        " '__rfloordiv__',\n",
        " '__rlshift__',\n",
        " '__rmod__',\n",
        " '__rmul__',\n",
        " '__ror__',\n",
        " '__round__',\n",
        " '__rpow__',\n",
        " '__rrshift__',\n",
        " '__rshift__',\n",
        " '__rsub__',\n",
        " '__rtruediv__',\n",
        " '__rxor__',\n",
        " '__setattr__',\n",
        " '__setstate__',\n",
        " '__sizeof__',\n",
        " '__str__',\n",
        " '__sub__',\n",
        " '__subclasshook__',\n",
        " '__truediv__',\n",
        " '__xor__',\n",
        " 'all',\n",
        " 'any',\n",
        " 'argmax',\n",
        " 'argmin',\n",
        " 'argsort',\n",
        " 'astype',\n",
        " 'base',\n",
        " 'byteswap',\n",
        " 'choose',\n",
        " 'clip',\n",
        " 'compress',\n",
        " 'conj',\n",
        " 'conjugate',\n",
        " 'copy',\n",
        " 'cumprod',\n",
        " 'cumsum',\n",
        " 'data',\n",
        " 'denominator',\n",
        " 'diagonal',\n",
        " 'dtype',\n",
        " 'dump',\n",
        " 'dumps',\n",
        " 'fill',\n",
        " 'flags',\n",
        " 'flat',\n",
        " 'flatten',\n",
        " 'getfield',\n",
        " 'imag',\n",
        " 'item',\n",
        " 'itemset',\n",
        " 'itemsize',\n",
        " 'max',\n",
        " 'mean',\n",
        " 'min',\n",
        " 'nbytes',\n",
        " 'ndim',\n",
        " 'newbyteorder',\n",
        " 'nonzero',\n",
        " 'numerator',\n",
        " 'prod',\n",
        " 'ptp',\n",
        " 'put',\n",
        " 'ravel',\n",
        " 'real',\n",
        " 'repeat',\n",
        " 'reshape',\n",
        " 'resize',\n",
        " 'round',\n",
        " 'searchsorted',\n",
        " 'setfield',\n",
        " 'setflags',\n",
        " 'shape',\n",
        " 'size',\n",
        " 'sort',\n",
        " 'squeeze',\n",
        " 'std',\n",
        " 'strides',\n",
        " 'sum',\n",
        " 'swapaxes',\n",
        " 'take',\n",
        " 'tobytes',\n",
        " 'tofile',\n",
        " 'tolist',\n",
        " 'tostring',\n",
        " 'trace',\n",
        " 'transpose',\n",
        " 'var',\n",
        " 'view']"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print(img.size, img.nbytes)\n",
      "print('{:.2f}Mb'.format(img.nbytes/1e3**2))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "6004204 6004204\n",
        "6.00Mb\n"
       ]
      }
     ],
     "prompt_number": 39
    }
   ],
   "metadata": {}
  }
 ]
}