EEG_get_aligned_data_from_file.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pickle, os, glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "root = \"C:\\\\eeg\\\\01exp\\\\\"\n",
    "name = \"20161129_DBS_001\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def save(path,name,data):\n",
    "    with open(path +'/'+ name, 'wb') as output:\n",
    "        pickle.dump(data, output, pickle.HIGHEST_PROTOCOL)\n",
    "        \n",
    "def load(path,name):\n",
    "    with open(path + '/' + name, 'rb') as input:\n",
    "        data = pickle.load(input)\n",
    "        return data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "test = load(root + name,'exp_data_aligned.dat')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['tests', 'states_train', 'data_train', 'stop', 'num_activities', 'start', 'time']\n"
     ]
    }
   ],
   "source": [
    "print test.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 2.  2.  1.  3.  2.  2.  2.  3.  3.  3.  1.  3.  1.  3.  3.  2.  1.  1.\n",
      "  3.  2.  2.  3.  3.  1.  1.  3.  3.  1.  2.  1.  2.  2.  1.  3.  3.  2.\n",
      "  2.  1.  1.  1.  2.  1.  1.  3.  2.]\n"
     ]
    }
   ],
   "source": [
    "print test['states_train']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6]\n"
     ]
    }
   ],
   "source": [
    "print [len(x) for x in test['tests']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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