Loading vecnav data from sparklage keys

sparklage vecnav data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import boto3\n",
    "import pickle\n",
    "\n",
    "Bucket='store.sparklage.kairos.ae'\n",
    "Key='0000452fcbf07b5866465d370b81cb0c9b0912d4/vecnav'\n",
    "s3 = boto3.client(\"s3\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "vecnav_data = s3.get_object(Bucket=Bucket, Key=Key)[\"Body\"].read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'elevation': 800.50006103515625,\n",
       " 'fraction': 0.28999999999999998,\n",
       " 'lat': 31.227625366999998,\n",
       " 'lon': -101.142014891,\n",
       " 'quat1': array([ 0.0010261, -0.0145101,  0.6936559,  0.7201597]),\n",
       " 'quat2': array([ 0.0008502, -0.0146836,  0.6935342,  0.7202736]),\n",
       " 'theta': 87.858568959999999,\n",
       " 'undulation': -25.134141176470578}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pickle.loads(vecnav_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}