{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9260e5ba",
   "metadata": {},
   "source": [
    "# Operations available on GPS Tracks\n",
    "\n",
    "Our focus on this section concern operations and predicats available on the library."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5ccdb54",
   "metadata": {},
   "source": [
    "## Let's start by defining our environment\n",
    "\n",
    "This task is only useful for the online notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a8f99036",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import sys\n",
    "\n",
    "#-------------------------------------------------------\n",
    "# Import de tracklib\n",
    "\n",
    "module_path = os.path.abspath(os.path.join('../../..'))\n",
    "if module_path not in sys.path:\n",
    "    sys.path.append(module_path)\n",
    "    \n",
    "import tracklib as trk"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a909393",
   "metadata": {},
   "source": [
    "## The following operations are available:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03c0871c",
   "metadata": {},
   "source": [
    "### arithmetic operators: \n",
    "\n",
    "\"+\" : Concatenation of two tracks\n",
    "\n",
    "\"-\" : Profil de différence entre 2 traces\n",
    "\n",
    "\"*\" : sur-échantillonne la trace avec le facteur voulu\n",
    "\n",
    "\"**\": ré-échantillonne une trace au nombre de points voulu\n",
    "\n",
    "\"/\" : Even split of tracks (returns n segments)\n",
    "\n",
    "\"//\" : ré-échantillonne une trace pour faire correspondre ses timestamps à une autre trace\n",
    "\n",
    "\"%\" : supprime des observations à intervalle régulier\n",
    "\n",
    "\"<\" : supprime les n derniers points d'une trace\n",
    "\n",
    "\">\" : supprime les n premiers points d'une trace\n",
    "\n",
    "\"[i]\" : retourne ou modifie la ième observation de la trace"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20a8151f",
   "metadata": {},
   "source": [
    "### Built-in function\n",
    "\n",
    "len() : nombres d'observations par trace"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2df4a0f7",
   "metadata": {},
   "source": [
    "### comparison predicates: \n",
    "\n",
    "\"<\" :\n",
    "    \n",
    "\"<=\" :"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd9b1b81",
   "metadata": {},
   "source": [
    "### Shape enclosing\n",
    "\n",
    "Let's start by creating a sample track"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dd55300f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "trk.ObsTime.setReadFormat(\"4Y-2M-2D 2h:2m:2s\")\n",
    "trace2 = trk.Track([], 1)\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(2.0, 0.0), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:00\")))\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(2.5, 1.5), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:05\")))\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(4.0, 2.0), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:15\")))\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(2.5, 2.5), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:20\")))\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(2.0, 4.0), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:25\")))\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(1.5, 2.5), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:35\")))\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(0.0, 2.0), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:25\")))\n",
    "trace2.addObs(trk.Obs(trk.ENUCoords(1.5, 1.5), trk.ObsTime.readTimestamp(\"2018-01-01 10:00:25\")))\n",
    "\n",
    "trace2.plot('b-')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6aa978f",
   "metadata": {},
   "source": [
    "Then, we can create shape enclosing from track itself or via the function *boundingShape*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ba15078a",
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Track 1'}, xlabel='E (m)', ylabel='N (m)'>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x504 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize = (10, 7))\n",
    "\n",
    "# ==============================================================\n",
    "#   Bounding box\n",
    "ax1 = plt.subplot2grid((2, 3), (0, 0))\n",
    "trace2.plot('b-', append=ax1)\n",
    "R = trace2.bbox()\n",
    "R.plot('c--', append=ax1)\n",
    "\n",
    "# ==============================================================\n",
    "#   Shape : enclosing box (same as bounding box)\n",
    "ax2 = plt.subplot2grid((2, 3), (0, 1))\n",
    "trace2.plot('b-', append=ax2)\n",
    "R1 = trk.boundingShape(trace2, trk.MODE_ENCLOSING_BBOX)\n",
    "R1.plot('c--', append=ax2)\n",
    "\n",
    "# ==============================================================\n",
    "#   Shape : minimal enclosing bounding box\n",
    "ax3 = plt.subplot2grid((2, 3), (0, 2))\n",
    "trace2.plot('b-', append=ax3)\n",
    "R1 = trk.boundingShape(trace2, trk.MODE_ENCLOSING_MBR)\n",
    "X = []\n",
    "Y = []\n",
    "for coord in R1[0]:\n",
    "    X.append(coord[0])\n",
    "    Y.append(coord[1])\n",
    "ax3.plot(X, Y, 'c-')\n",
    "\n",
    "# ==============================================================\n",
    "#   Shape : enclosing circle\n",
    "ax4 = plt.subplot2grid((2, 3), (1, 0))\n",
    "trace2.plot('b-', append=ax4)\n",
    "C = trk.boundingShape(trace2, trk.MODE_ENCLOSING_CIRCLE)\n",
    "C.plot('c-', append=ax4)\n",
    "\n",
    "# ==============================================================\n",
    "#   Shape : enclosing convex hull\n",
    "ax5 = plt.subplot2grid((2, 3), (1, 1))\n",
    "trace2.plot('b-', append=ax5)\n",
    "P = trk.boundingShape(trace2, trk.MODE_ENCLOSING_CONVEX)\n",
    "ax5.plot(P[0::2], P[1::2], 'c--')\n",
    "\n",
    "\n",
    "# ==============================================================\n",
    "#   Shape : enclosing polygon\n",
    "ax6 = plt.subplot2grid((2, 3), (1, 2))\n",
    "trace2.plot('b-', append=ax6)\n",
    "P = trace2.getEnclosedPolygon()\n",
    "P.plot('c--', append=ax6)\n"
   ]
  }
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