filesize comparison

pickle-test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import cPickle as pickle\n",
    "import yaml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "test_data = {}\n",
    "for i in range(10):\n",
    "    test_data[i] = np.random.normal(size=(1000, 3, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('test.pkl', 'w') as f:\n",
    "    pickle.dump(test_data, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('test-high.pkl', 'w') as f:\n",
    "    pickle.dump(test_data, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/max/conda/lib/python2.7/site-packages/yaml/representer.py:142: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  if data in [None, ()]:\n"
     ]
    }
   ],
   "source": [
    "with open('test.yaml', 'w') as f:\n",
    "    yaml.dump(test_data, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 3.8M\r\n",
      "-rw-rw-r--. 1 max max  704K Aug 27 14:08 test-high.pkl\r\n",
      "-rw-rw-r--. 1 max max  2.1M Aug 27 14:07 test.pkl\r\n",
      "-rw-rw-r--. 1 max max 1003K Aug 27 14:08 test.yaml\r\n",
      "-rw-rw-r--. 1 max max  1.1K Aug 27 14:07 Untitled.ipynb\r\n"
     ]
    }
   ],
   "source": [
    "!ls -lh"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}