SharkPathPlotter.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This script:\n",
    "# 1) generates png files that can be assembled into a video using ffmpeg in linux\n",
    "# 2) generates a kml file that can be loaded into Google Earth Pro for interactive\n",
    "#    3d plotting\n",
    "# 3) allows playing around with python code for loading and drawing geographically\n",
    "#    related data\n",
    "#\n",
    "# CAVEATS:\n",
    "# 1) Jupyter notebooks do not seem to support playing a succession of images to\n",
    "#    effectively display a video, so this script does not show moving graphics while\n",
    "#    it executes. The SharkPathGallher.py script can be used to get the same outputs\n",
    "#    along with video "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pip install basemap\n",
    "# pip install matplotlib\n",
    "# pip install numpy\n",
    "# pip install pandas\n",
    "# pip install scipy\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "import datetime\n",
    "from mpl_toolkits.basemap import Basemap, cm\n",
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import operator\n",
    "import pandas as pd\n",
    "from scipy.interpolate import griddata\n",
    "from scipy.io import netcdf\n",
    "from time import sleep\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Constant values that should not be changed\n",
    "COL_ID = 0\n",
    "COL_DATE = 1\n",
    "COL_LON = 2\n",
    "COL_LAT = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Low level functions are defined here, but not executed until later\n",
    "def drawBathysphere (map, elecdf, loncdf, latcdf, contours):\n",
    "    print (\"drawBathysphere\")    \n",
    "    # Convert netcdf arrays to regular array, with components transposed\n",
    "    ele = np.zeros ((elecdf.shape[1], elecdf.shape[0]))\n",
    "    lon = np.zeros ((elecdf.shape[1], elecdf.shape[0]))\n",
    "    lat = np.zeros ((elecdf.shape[1], elecdf.shape[0]))\n",
    "    for i in range (elecdf.shape[1]):\n",
    "        for j in range (elecdf.shape[0]):\n",
    "            ele [i] [j] = elecdf [j] [i]\n",
    "            lon [i] [j] = loncdf [i]\n",
    "            lat [i] [j] = latcdf [j]\n",
    "    x, y = map (lon, lat)\n",
    "    # cmap = cm.s3pcpn = blue, black, white brown\n",
    "    # cmap = cm.Blues_r\n",
    "    # cmap = plt.cm.get_cmap('Blues'))\n",
    "    # cmap = plt.cm.get_cmap('RdBu'))\n",
    "    # cmap = plt.cm.get_cmap('Dark2'))        \n",
    "    cs = map.contourf (x, y, ele, contours, cmap = plt.cm.get_cmap('Blues'))\n",
    "\n",
    "    # Color scale\n",
    "    cbar = map.colorbar (cs, location = 'right', pad = '5%')\n",
    "    cbar.set_label ('Elevation (meters)')\n",
    "\n",
    "def drawCircle(map):\n",
    "    # This requires\n",
    "    #   from matplotlib.patches import Circle, Rectangle\n",
    "    # Show circle at northernmost point in nova scotia which is northwest of Meat Point, according\n",
    "    # to https://stackoverflow.com/questions/49134634/how-to-draw-circle-in-basemap-or-add-artiste\n",
    "    circle = Circle (xy = map (-60.593352, 47.041354), radius = (map.ymax - map.ymin) / 60, fill = False)\n",
    "    plt.gca().add_patch (circle)\n",
    "\n",
    "def drawContinents(map):\n",
    "    print (\"drawContinents\")    \n",
    "    map.drawcoastlines (linewidth = 0.25)\n",
    "    map.drawcountries (linewidth = 0.25)\n",
    "    #map.fillcontinents (color = 'coral', lake_color = 'aqua') # Overwrites land portions of quivers drawn later\n",
    "    map.drawmapboundary (fill_color = 'aqua')\n",
    "    map.drawmeridians (np.arange (0, 360, 10))\n",
    "    map.drawparallels (np.arange (-90, 90, 10))\n",
    "    \n",
    "def drawCurrent (map, lon, lat, u, v):\n",
    "    print (\"drawCurrent\")    \n",
    "    map.quiver (lon, lat, u, v)\n",
    "\n",
    "def drawDeclinationContours (map, lon, lat, dec):\n",
    "    print (\"drawDeclinationContours\")    \n",
    "    map.contour (lon, lat, dec)\n",
    "    \n",
    "def drawDeclinationVectors (map, lon, lat, udec, vdec):\n",
    "    print (\"drawCurrent\")    \n",
    "    # Increase scale for smaller vectors\n",
    "    map.quiver (lon, lat, udec, vdec, scale = 12, color = 'r') \n",
    "\n",
    "def drawLine (map, LINECOLOR, id, lonLast, latLast, lon, lat, moves, miles):  \n",
    "    if id in lonLast:\n",
    "        # Draw a line\n",
    "        lons = [lonLast [id], lon]\n",
    "        lats = [latLast [id], lat]\n",
    "        map.plot (lons, lats, linewidth = 1.2, color = LINECOLOR, latlon = True)\n",
    "        moves += 1\n",
    "        miles += milesMoved (lonLast [id], latLast [id], lon, lat)\n",
    "    return moves, miles\n",
    "\n",
    "def drawSharkPath (map, useBetterMap, LINECOLOR, FILESHARK, IMGEXTENSION, \\\n",
    "                   fKml, waypoints, \\\n",
    "                   lonmin, lonmax, latmin, latmax):    \n",
    "    # Shark waypoints. There can be multiple ids so lonLast and latLast are vectors indexed by id\n",
    "    lonLast = {}\n",
    "    latLast = {}\n",
    "    datLast = waypoints [0][COL_DATE]\n",
    "    imgLast = 0\n",
    "    moves = 0\n",
    "    miles = 0\n",
    "    kmlPoints = {} # First index is id, second index is date, value is '<lon>,<lat>' string\n",
    "    for row in waypoints:\n",
    "        id  = row [COL_ID]\n",
    "        dat = row [COL_DATE]\n",
    "        # For debugging\n",
    "        #if dat > pd.to_datetime ('10/21/2015', format='%m/%d/%Y'):\n",
    "        #    break;\n",
    "        lon = row [COL_LON]\n",
    "        lat = row [COL_LAT]\n",
    "        moves, miles = drawLine (map, LINECOLOR, id, lonLast, latLast, lon, lat, moves, miles)\n",
    "        imgLast, moves, miles = moveDaysForward (useBetterMap, FILESHARK, IMGEXTENSION, \\\n",
    "                                                 datLast, dat, \\\n",
    "                                                 lonmin, lonmax, latmin, latmax, \\\n",
    "                                                 imgLast, moves, miles)\n",
    "        kmlFileWrite (fKml, kmlPoints, id, dat, lon, lat)\n",
    "        \n",
    "        lonLast [id] = lon\n",
    "        latLast [id] = lat\n",
    "        datLast = dat\n",
    "    kmlFileWriteAll (fKml, kmlPoints)\n",
    "    kmlFileClose (fKml)\n",
    "    \n",
    "def kmlFileClose (fKml):\n",
    "    fKml.write ('</Document>\\n')\n",
    "    fKml.write ('</kml>\\n')\n",
    "\n",
    "def kmlFileOpen (idsForKml):    \n",
    "    FILEKML = 'outputs/gallagher.kml'\n",
    "    fKml = open (FILEKML, 'w')\n",
    "    fKml.write ('<?xml version=\"1.0\" encoding=\"UTF-8\"?>\\n')\n",
    "    fKml.write ('<kml xmlns=\"http://www.opengis.net/kml/2.2\">\\n')\n",
    "    fKml.write ('<Document>\\n')\n",
    "    fKml.write ('  <LookAt>\\n')\n",
    "    fKml.write ('    <longitude>-68.38</longitude>\\n')\n",
    "    fKml.write ('    <latitude>41.27</latitude>\\n')\n",
    "    fKml.write ('    <altitude>0</altitude>\\n')\n",
    "    fKml.write ('    <range>687414</range>\\n')\n",
    "    fKml.write ('    <tilt>0.0303</tilt>\\n')\n",
    "    fKml.write ('    <heading>0</heading>\\n')                \n",
    "    fKml.write ('  </LookAt>\\n')\n",
    "    return fKml\n",
    "\n",
    "def kmlFileWrite (fKml, kmlPoints, id, dat, lon, lat):\n",
    "    LIFETIME = datetime.timedelta(hours=4)\n",
    "    if not id in kmlPoints:\n",
    "        kmlPoints [id] = {}\n",
    "    kmlPoints [id] [dat] = '{},{}' . format (lon, lat)\n",
    "    \n",
    "def kmlFileWriteAll (fKml, kmlPoints):\n",
    "    # Colors to disinguish sharks and also match points with paths\n",
    "    colors = ['ffff0000', \\\n",
    "              'ff00ff00', \\\n",
    "              'ff0000ff', \\\n",
    "              'ffff00ff', \\\n",
    "              'ff00ffff', \\\n",
    "              'ffffff00', \\\n",
    "              'ffffffff']\n",
    "    for indexColor in range (len (colors)):\n",
    "        color = colors [indexColor]\n",
    "        fKml.write ('  <StyleMap id=\"mapcolor{}\">\\n' . format (indexColor))\n",
    "        fKml.write ('    <Pair>\\n')\n",
    "        fKml.write ('      <key>normal</key>\\n')\n",
    "        fKml.write ('      <styleUrl>#color{}</styleUrl>\\n' . format (indexColor))\n",
    "        fKml.write ('    </Pair>\\n')\n",
    "        fKml.write ('    <Pair>\\n')\n",
    "        fKml.write ('      <key>highlight</key>\\n')\n",
    "        fKml.write ('      <styleUrl>#color{}</styleUrl>\\n' . format (indexColor))\n",
    "        fKml.write ('    </Pair>\\n')                \n",
    "        fKml.write ('  </StyleMap>\\n')\n",
    "        fKml.write ('  <Style id=\"color{}\">\\n' . format (indexColor))\n",
    "        fKml.write ('    <BalloonStyle>\\n')\n",
    "        fKml.write ('      <displayMode>{}</displayMode>\\n' . format ('default'))                        \n",
    "        fKml.write ('      <bgColor>{}</bgColor>\\n' . format (color))                \n",
    "        fKml.write ('      <textColor>{}</textColor>\\n' . format (color))        \n",
    "        fKml.write ('      <color>{}</color>\\n' . format (color))\n",
    "        fKml.write ('    </BalloonStyle>\\n')\n",
    "        fKml.write ('    <IconStyle>\\n')\n",
    "        fKml.write ('      <color>{}</color>\\n' . format (color))                \n",
    "        fKml.write ('    </IconStyle>\\n')\n",
    "        fKml.write ('    <LabelStyle>\\n')\n",
    "        fKml.write ('      <color>{}</color>\\n' . format (color))                \n",
    "        fKml.write ('    </LabelStyle>\\n')                \n",
    "        fKml.write ('    <LineStyle>\\n')\n",
    "        fKml.write ('      <color>{}</color>\\n' . format (color))\n",
    "        fKml.write ('      <width>{}</width>\\n' . format (2.0))        \n",
    "        fKml.write ('    </LineStyle>\\n')\n",
    "        fKml.write ('    <PolyStyle>\\n')\n",
    "        fKml.write ('      <color>{}</color>\\n' . format (color))                \n",
    "        fKml.write ('    </PolyStyle>\\n')                        \n",
    "        fKml.write ('  </Style>\\n')\n",
    "    indexId = 0\n",
    "    indexColor = 0\n",
    "    for id in kmlPoints.keys():\n",
    "        pointsForId = kmlPoints [id]\n",
    "\n",
    "        datFirst = list (pointsForId.keys())[0]\n",
    "        datLast = list (pointsForId.keys()) [len (pointsForId) - 1]\n",
    "        numberDays = (datLast - datFirst).days\n",
    "        fKml.write ('  <Folder>\\n')\n",
    "        fKml.write ('    <name>{}_{}days</name>\\n' . format (id, numberDays))\n",
    "        fKml.write ('    <Folder>\\n')\n",
    "        fKml.write ('      <name>waypoints</name>\\n')\n",
    "        indexPoint = 0\n",
    "        for dat in pointsForId.keys():\n",
    "            # First write out points for this id            \n",
    "            fKml.write ('      <Placemark>\\n')\n",
    "            fKml.write ('        <name>{}_{}</name>\\n' . format (id, indexPoint))\n",
    "            indexPoint += 1\n",
    "            fKml.write ('        <styleUrl>#mapcolor{}</styleUrl>\\n' . format (indexColor))\n",
    "            fKml.write ('        <TimeStamp>{}</TimeStamp>\\n' . format (dat.strftime ('%Y-%m-%dT%H:%M:%SZ'))) # 2000-01-01T09:00:00Z\n",
    "            fKml.write ('        <Point>\\n')\n",
    "            fKml.write ('          <coordinates>{},0</coordinates>\\n' . format (pointsForId [dat])) # No spaces are allowed!\n",
    "            fKml.write ('        </Point>\\n')\n",
    "            fKml.write ('      </Placemark>\\n')\n",
    "        fKml.write ('    </Folder>\\n')            \n",
    "        # Now write out path for this id        \n",
    "        fKml.write ('    <Placemark>\\n')\n",
    "        fKml.write ('      <name>path</name>\\n')\n",
    "        fKml.write ('      <styleUrl>#color{}</styleUrl>\\n' . format (indexColor))\n",
    "        fKml.write ('      <LineString>\\n')\n",
    "        fKml.write ('        <tessellate>1</tessellate>\\n')\n",
    "        fKml.write ('        <altitudeMode>absolute</altitudeMode>\\n')\n",
    "        fKml.write ('        <coordinates>');\n",
    "        pointsForId = kmlPoints [id]        \n",
    "        for dat in pointsForId:\n",
    "            fKml.write ('{} ' . format (pointsForId [dat]));\n",
    "        fKml.write ('</coordinates>');            \n",
    "        fKml.write ('      </LineString>\\n')                \n",
    "        fKml.write ('    </Placemark>\\n')            \n",
    "        fKml.write ('  </Folder>\\n')\n",
    "        indexId += 1\n",
    "        indexColor = (indexColor + 1) % len (colors)\n",
    "\n",
    "    indexColor = 0\n",
    "    for id in kmlPoints.keys():\n",
    "\n",
    "        indexColor = (indexColor + 1) % len (colors)\n",
    "        \n",
    "def loadBathysphere (useBetterMap):\n",
    "    print (\"loadBathysphere\")\n",
    "    FILEBATHYSPHERE, ELEVARIABLE = loadMapParameters (useBetterMap)\n",
    "\n",
    "    # Based on https://matplotlib.org/basemap/users/examples.html. The parameter\n",
    "    # mmap=False prevents issues related to closing plots/files when arrays are\n",
    "    # still open\n",
    "    f = netcdf.netcdf_file (FILEBATHYSPHERE, 'r', mmap = False)\n",
    "    elecdf = f.variables [ELEVARIABLE]\n",
    "    loncdf = f.variables ['lon']\n",
    "    latcdf = f.variables ['lat']\n",
    "    crscdf = f.variables ['crs'] # Do not know what this array contains, other than 1 character strings\n",
    "    # limits\n",
    "    elemin = np.min (elecdf.data)\n",
    "    elemax = np.max (elecdf.data)\n",
    "    lonmin = np.min (loncdf [:])\n",
    "    latmin = np.min (latcdf [:])\n",
    "    lonmax = np.max (loncdf [:])\n",
    "    latmax = np.max (latcdf [:])\n",
    "\n",
    "    # 2D -----------------------------------------------------------------------------\n",
    "    lon = loncdf.data\n",
    "    #plt.plot (lon)\n",
    "    #plt.ylabel ('longitude')\n",
    "    #plt.show()\n",
    "\n",
    "    lat = latcdf.data\n",
    "    #plt.plot (lat)\n",
    "    #plt.ylabel ('latitude')\n",
    "    #plt.show()\n",
    "\n",
    "    return elecdf, loncdf, latcdf\n",
    "\n",
    "def loadCurrent(map, lonmin, lonmax, latmin, latmax):\n",
    "    print (\"loadCurrent\")\n",
    "    FILENAMECURRENT = 'data.nodc.noaa.gov/ofs_atl.t00z.n000.20170321.grb.grib2.nc'\n",
    "    f = netcdf.netcdf_file (FILENAMECURRENT, 'r', mmap = False)\n",
    "\n",
    "    loncdf = f.variables ['Longitude_of_Presure_Point_surface'] # 1684x1200\n",
    "    latcdf = f.variables ['Latitude_of_Presure_Point_surface'] # 1684x1200\n",
    "    ucdf = f.variables ['Barotropic_U_velocity_entire_ocean_single_layer'] # 1x1684x1200\n",
    "    vcdf = f.variables ['Barotropic_V_velocity_entire_ocean_single_layer'] # 1x1684x1200\n",
    "    nx = len (loncdf.data)\n",
    "    ny = len (loncdf.data[0])\n",
    "\n",
    "    # Griddata wants 1D versus 2D. We need to discard all points associated with u=NaN or v=NaN\n",
    "    pointsRaw = []\n",
    "    uRaw = []\n",
    "    vRaw = []\n",
    "    for i in range (nx):\n",
    "        for j in range (ny):\n",
    "            u = ucdf.data[0][i][j]\n",
    "            v = vcdf.data[0][i][j]\n",
    "            if not np.isnan(u) and not np.isnan(v):\n",
    "                pointsRaw.append ([loncdf.data[i][j], latcdf.data[i][j]])\n",
    "                uRaw.append (u)\n",
    "                vRaw.append (v)\n",
    "\n",
    "    # Desired grid is computed using list comprehension\n",
    "    lonstep = 10 # Degrees\n",
    "    latstep = 10 # Degrees\n",
    "    LONLATSTEP = 3\n",
    "    desired = [[i, j] for j in range (latmin, latmax + 1, LONLATSTEP) for i in range (lonmin, lonmax + 1, LONLATSTEP)]\n",
    "\n",
    "    # Interpolate\n",
    "    u = griddata (pointsRaw, uRaw, desired, method = 'linear', fill_value = 0.0)\n",
    "    v = griddata (pointsRaw, vRaw, desired, method = 'linear', fill_value = 0.0)\n",
    "\n",
    "    # Numpy nicely allows extracting individual components\n",
    "    nx = len (desired)\n",
    "    ny = len (desired  [0])\n",
    "    lon = np.array (desired) [:, 0]\n",
    "    lat = np.array (desired) [:, 1]\n",
    "\n",
    "    # Convert to basemap units\n",
    "    lonMapped, latMapped = map (lon, lat)\n",
    "\n",
    "    return lonMapped, latMapped, u, v\n",
    "\n",
    "def loadDeclination (map, lonmin, lonmax, latmin, latmax):\n",
    "    print (\"loadDeclination\")\n",
    "    FILEDECLINATION = 'ngdc.noaa.gov-geomag/D_Grid_mf_2020.grd'\n",
    "    f = netcdf.netcdf_file (FILEDECLINATION, 'r', mmap = False)\n",
    "    x = f.variables ['x']\n",
    "    y = f.variables ['y']\n",
    "    z = f.variables ['z']\n",
    "    nx = len (x.data)\n",
    "    ny = len (y.data)\n",
    "    lon = np.zeros ((nx, ny))\n",
    "    lat = np.zeros ((nx, ny))\n",
    "    for i in range (nx):\n",
    "        for j in range (ny):\n",
    "            lon [i] [j] = x.data [i]\n",
    "            lat [i] [j] = y.data [j]\n",
    "\n",
    "    # Declination is indexed by (lat,lon) so we tranpose it\n",
    "    dec = z.data.transpose ()\n",
    "    \n",
    "    # We throw away points outside the desired range. This makes no difference with contour\n",
    "    # plots but seems to be required for quiver plots to work at all\n",
    "    iMap = []\n",
    "    jMap = []\n",
    "    COUNT = 4\n",
    "    lonMargin = (lonmax - lonmin) / (2 * COUNT)\n",
    "    latMargin = (latmax - latmin) / (2 * COUNT)\n",
    "    lonDelta = lon [1][0] - lon [0][0]\n",
    "    latDelta = lat [0][1] - lat [0][0]\n",
    "    lonCount = 1 + int ((lonmax - lonmin) / lonDelta)\n",
    "    latCount = 1 + int ((latmax - latmin) / latDelta)\n",
    "    lonStep = int (lonCount / (COUNT - 1))\n",
    "    latStep = int (latCount / (COUNT - 1))\n",
    "    for i in range (nx):\n",
    "        if lonmin + lonMargin < lon [i][0]:\n",
    "            # We found the first so loop through the good ones\n",
    "            while i < nx:\n",
    "                if lon [i][0] > lonmax - lonMargin:\n",
    "                    break;\n",
    "                iMap.append (i)\n",
    "                i += lonStep\n",
    "            break\n",
    "    for j in range (ny):\n",
    "        if latmin + latMargin < lat [0][j]:\n",
    "            # We found the first so loop through the good ones\n",
    "            while j < ny:\n",
    "                if lat [0][j] > latmax - latMargin:\n",
    "                    break;\n",
    "                jMap.append (j)\n",
    "                j += latStep\n",
    "            break\n",
    "    nxFiltered = len (iMap)\n",
    "    nyFiltered = len (jMap)\n",
    "    lonFiltered = np.zeros ((nxFiltered, nyFiltered))\n",
    "    latFiltered = np.zeros ((nxFiltered, nyFiltered))\n",
    "    decFiltered = np.zeros ((nxFiltered, nyFiltered))\n",
    "    udecFiltered = np.zeros ((nxFiltered, nyFiltered))\n",
    "    vdecFiltered = np.zeros ((nxFiltered, nyFiltered))    \n",
    "    for i in range (nxFiltered):\n",
    "        for j in range (nyFiltered):\n",
    "            lonFiltered [i][j] = lon [iMap [i]] [jMap [j]]\n",
    "            latFiltered [i][j] = lat [iMap [i]] [jMap [j]]\n",
    "            ang = dec [iMap [i]] [jMap [j]]\n",
    "            decFiltered [i][j] = ang\n",
    "            udecFiltered [i][j] = math.sin (ang * np.pi / 180)\n",
    "            vdecFiltered [i][j] = math.cos (ang * np.pi / 180)\n",
    "\n",
    "    lonMapped, latMapped = map (lonFiltered, latFiltered)\n",
    "\n",
    "    return lonMapped, latMapped, decFiltered, udecFiltered, vdecFiltered\n",
    "\n",
    "def loadMapParameters (useBetterMap):\n",
    "    if useBetterMap:\n",
    "        FILEBATHYSPHERE = 'maps.ngdcc.noaa.gov/etopo1_bedrock_-80_-35_10_45.nc'\n",
    "        ELEVARIABLE = 'Band1'        \n",
    "    else:\n",
    "        FILEBATHYSPHERE = 'GRIDONE_2D_-70.0_35.0_-55.0_50.0.nc'\n",
    "        ELEVARIABLE = 'elevation'        \n",
    "    return FILEBATHYSPHERE, ELEVARIABLE\n",
    "\n",
    "def loadSharkPath (FILESHARK):\n",
    "    print (\"loadSharkPath\")\n",
    "    # Bounds for incoming file rounded off to integers\n",
    "    lonmin = -80\n",
    "    lonmax = -35\n",
    "    latmin = 10\n",
    "    latmax = 45\n",
    "    waypoints = []\n",
    "    idsForKml = {}\n",
    "    with open (FILESHARK, 'r') as f:\n",
    "        reader = csv.DictReader (f, delimiter = '\\t') # Read tab separated values\n",
    "        headers = reader.fieldnames\n",
    "        for line in reader:\n",
    "            idStr = line ['ptt']\n",
    "            dateStr = line ['dt']\n",
    "            latStr = line ['lat']\n",
    "            lonStr = line ['lon']\n",
    "            classStr = line ['class']\n",
    "\n",
    "            # Only keep the good data\n",
    "            if classStr == '0' or classStr == '1' or classStr == '2' or classStr == '3':\n",
    "                id = int (idStr)\n",
    "                idsForKml [id] = True\n",
    "                lon = float (lonStr)\n",
    "                lat = float (latStr)\n",
    "                dat = pd.to_datetime (dateStr, format='%m/%d/%y %H:%M')\n",
    "                \n",
    "                # Values here match COL_ID, COL_DAT, COL_LON, COL_LAT\n",
    "                waypoints.append ([id, dat, lon, lat])\n",
    "    # The incoming data is not in chronological order so sort it\n",
    "    waypoints = sorted (waypoints, key = lambda row:row[COL_DATE])\n",
    "    return waypoints, idsForKml, lonmin, lonmax, latmin, latmax\n",
    "    \n",
    "def makeMap(is3d, lonmin, lonmax, latmin, latmax):\n",
    "\n",
    "    # 3D map\n",
    "    if is3d:\n",
    "        map = Basemap (projection = 'stere', lon_0 = lonmin, lat_0 = 90, lat_ts = latmin, \\\n",
    "                       llcrnrlat=latmin, urcrnrlat=latmax, \\\n",
    "                       llcrnrlon=lonmin, urcrnrlon=lonmax, \\\n",
    "                       rsphere=6371200., ellps = 'GRS67', resolution='l', area_thresh=1000)\n",
    "    else:\n",
    "        map = Basemap (projection = 'merc', lon_0 = lonmin, lat_0 = 90, lat_ts = latmin, \\\n",
    "                       llcrnrlat=latmin, urcrnrlat=latmax, \\\n",
    "                       llcrnrlon=lonmin, urcrnrlon=lonmax, \\\n",
    "                       rsphere=6371200., ellps = 'GRS67', resolution='l', area_thresh=1000)    \n",
    "\n",
    "    # Labels\n",
    "    plt.xlabel ('longitude')\n",
    "    plt.ylabel ('latitude')\n",
    "\n",
    "    return map\n",
    "\n",
    "def milesMoved (lonLast, latLast, lon, lat):\n",
    "    # Return the distance between two (lon,lat) points\n",
    "    RADIUSEARTH = 3959 # miles\n",
    "    lonLast = lonLast * np.pi / 180.0\n",
    "    latLast = latLast * np.pi / 180.0\n",
    "    lon = lon * np.pi / 180.0\n",
    "    lat = lat * np.pi / 180.0\n",
    "    xLast = RADIUSEARTH * math.cos (lonLast) * math.cos (latLast)\n",
    "    yLast = RADIUSEARTH * math.sin (lonLast) * math.cos (latLast)\n",
    "    zLast = RADIUSEARTH * math.sin (latLast)\n",
    "    x = RADIUSEARTH * math.cos (lon) * math.cos (lat)\n",
    "    y = RADIUSEARTH * math.sin (lon) * math.cos (lat)\n",
    "    z = RADIUSEARTH * math.sin (lat)\n",
    "    distance = math.sqrt ((x - xLast) * (x - xLast) + (y - yLast) * (y - yLast) + (z - zLast) * (z - zLast))\n",
    "    return distance\n",
    "\n",
    "def moveDaysForward (isBetterMap, FILESHARK, IMGEXTENSION, \\\n",
    "                     datLast, dat, lonmin, lonmax, latmin, latmax, imgLast, moves, miles):\n",
    "    PAUSESECONDS = 0.00001 # Nonzero value seems to be required    \n",
    "    FILEBATHYSPHERE, ELEVARIABLE = loadMapParameters (isBetterMap)    \n",
    "    if datLast.dayofyear != dat.dayofyear:\n",
    "\n",
    "        # Besides the delay, this also seems trigger the display, and without it nothing appears.\n",
    "        # We do this when the date has changed once, but before the loop below which will\n",
    "        # repeat (after the first iteration) for days in which nothing happens so a plot would be unhelpful\n",
    "        #plt.pause (PAUSESECONDS)\n",
    "        \n",
    "        # Move N days forward, where N=1,2,3...\n",
    "        for dayofyear in range (datLast.dayofyear, dat.dayofyear):\n",
    "            imgFile = ('outputs/gallagher{:03d}.{}' . format (imgLast, IMGEXTENSION)) \n",
    "            datFile = datetime.datetime(dat.year, 1, 1) + datetime.timedelta(dayofyear - 1)\n",
    "            movesAndMiles = '{} moves, {} miles' . format (moves, int (miles + 0.5))\n",
    "            print (str (datFile) + \": \" + imgFile + \" (\" + movesAndMiles + \")\")\n",
    "            plt.title (FILEBATHYSPHERE + '\\n' + FILESHARK + '\\n' + datFile.strftime ('%Y/%m/%d') + \\\n",
    "                       ' [' + movesAndMiles + '] ' + \\\n",
    "                       str (int (lonmin - 0.1)) + '<lon<' + str (int (lonmax - 0.1)) + ' ' + \\\n",
    "                       str (int (latmin + 0.1)) + '<lat<' + str (int (latmax + 0.1)))\n",
    "            plt.savefig (imgFile)\n",
    "            imgLast += 1\n",
    "            moves = 0\n",
    "            miles = 0\n",
    "    return imgLast, moves, miles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loadSharkPath\n",
      "drawContinents\n",
      "loadBathysphere\n",
      "loadCurrent\n",
      "loadDeclination\n",
      "drawBathysphere\n",
      "drawCurrent\n",
      "drawCurrent\n",
      "2015-10-13 00:00:00: outputs/gallagher000.png (1 moves, 47 miles)\n",
      "2015-10-14 00:00:00: outputs/gallagher001.png (7 moves, 12 miles)\n",
      "2015-10-15 00:00:00: outputs/gallagher002.png (2 moves, 19 miles)\n",
      "2015-10-16 00:00:00: outputs/gallagher003.png (13 moves, 110 miles)\n",
      "2015-10-17 00:00:00: outputs/gallagher004.png (13 moves, 98 miles)\n",
      "2015-10-18 00:00:00: outputs/gallagher005.png (14 moves, 119 miles)\n",
      "2015-10-19 00:00:00: outputs/gallagher006.png (17 moves, 123 miles)\n",
      "2015-10-20 00:00:00: outputs/gallagher007.png (12 moves, 87 miles)\n",
      "2015-10-21 00:00:00: outputs/gallagher008.png (10 moves, 166 miles)\n",
      "2015-10-22 00:00:00: outputs/gallagher009.png (6 moves, 71 miles)\n",
      "2015-10-23 00:00:00: outputs/gallagher010.png (26 moves, 145 miles)\n",
      "2015-10-24 00:00:00: outputs/gallagher011.png (14 moves, 114 miles)\n",
      "2015-10-25 00:00:00: outputs/gallagher012.png (16 moves, 148 miles)\n",
      "2015-10-26 00:00:00: outputs/gallagher013.png (11 moves, 44 miles)\n",
      "2015-10-27 00:00:00: outputs/gallagher014.png (13 moves, 129 miles)\n",
      "2015-10-28 00:00:00: outputs/gallagher015.png (17 moves, 179 miles)\n",
      "2015-10-29 00:00:00: outputs/gallagher016.png (21 moves, 204 miles)\n",
      "2015-10-30 00:00:00: outputs/gallagher017.png (20 moves, 136 miles)\n",
      "2015-10-31 00:00:00: outputs/gallagher018.png (9 moves, 42 miles)\n",
      "2015-11-01 00:00:00: outputs/gallagher019.png (14 moves, 125 miles)\n",
      "2015-11-02 00:00:00: outputs/gallagher020.png (14 moves, 222 miles)\n",
      "2015-11-03 00:00:00: outputs/gallagher021.png (11 moves, 59 miles)\n",
      "2015-11-04 00:00:00: outputs/gallagher022.png (19 moves, 223 miles)\n",
      "2015-11-05 00:00:00: outputs/gallagher023.png (13 moves, 102 miles)\n",
      "2015-11-06 00:00:00: outputs/gallagher024.png (17 moves, 109 miles)\n",
      "2015-11-07 00:00:00: outputs/gallagher025.png (13 moves, 60 miles)\n",
      "2015-11-08 00:00:00: outputs/gallagher026.png (21 moves, 149 miles)\n",
      "2015-11-09 00:00:00: outputs/gallagher027.png (17 moves, 152 miles)\n",
      "2015-11-10 00:00:00: outputs/gallagher028.png (9 moves, 64 miles)\n",
      "2015-11-11 00:00:00: outputs/gallagher029.png (11 moves, 194 miles)\n",
      "2015-11-12 00:00:00: outputs/gallagher030.png (12 moves, 113 miles)\n",
      "2015-11-13 00:00:00: outputs/gallagher031.png (21 moves, 127 miles)\n",
      "2015-11-14 00:00:00: outputs/gallagher032.png (16 moves, 121 miles)\n",
      "2015-11-15 00:00:00: outputs/gallagher033.png (17 moves, 132 miles)\n",
      "2015-11-16 00:00:00: outputs/gallagher034.png (18 moves, 125 miles)\n",
      "2015-11-17 00:00:00: outputs/gallagher035.png (17 moves, 127 miles)\n",
      "2015-11-18 00:00:00: outputs/gallagher036.png (24 moves, 256 miles)\n",
      "2015-11-19 00:00:00: outputs/gallagher037.png (26 moves, 180 miles)\n",
      "2015-11-20 00:00:00: outputs/gallagher038.png (14 moves, 133 miles)\n",
      "2015-11-21 00:00:00: outputs/gallagher039.png (13 moves, 77 miles)\n",
      "2015-11-22 00:00:00: outputs/gallagher040.png (24 moves, 215 miles)\n",
      "2015-11-23 00:00:00: outputs/gallagher041.png (20 moves, 212 miles)\n",
      "2015-11-24 00:00:00: outputs/gallagher042.png (16 moves, 241 miles)\n",
      "2015-11-25 00:00:00: outputs/gallagher043.png (20 moves, 151 miles)\n",
      "2015-11-26 00:00:00: outputs/gallagher044.png (16 moves, 184 miles)\n",
      "2015-11-27 00:00:00: outputs/gallagher045.png (6 moves, 152 miles)\n",
      "2015-11-28 00:00:00: outputs/gallagher046.png (12 moves, 160 miles)\n",
      "2015-11-29 00:00:00: outputs/gallagher047.png (15 moves, 123 miles)\n",
      "2015-11-30 00:00:00: outputs/gallagher048.png (16 moves, 397 miles)\n",
      "2015-12-01 00:00:00: outputs/gallagher049.png (14 moves, 177 miles)\n",
      "2015-12-02 00:00:00: outputs/gallagher050.png (23 moves, 164 miles)\n",
      "2015-12-03 00:00:00: outputs/gallagher051.png (13 moves, 117 miles)\n",
      "2015-12-04 00:00:00: outputs/gallagher052.png (36 moves, 205 miles)\n",
      "2015-12-05 00:00:00: outputs/gallagher053.png (21 moves, 141 miles)\n",
      "2015-12-06 00:00:00: outputs/gallagher054.png (25 moves, 101 miles)\n",
      "2015-12-07 00:00:00: outputs/gallagher055.png (18 moves, 362 miles)\n",
      "2015-12-08 00:00:00: outputs/gallagher056.png (9 moves, 185 miles)\n",
      "2015-12-09 00:00:00: outputs/gallagher057.png (8 moves, 89 miles)\n",
      "2015-12-10 00:00:00: outputs/gallagher058.png (8 moves, 145 miles)\n",
      "2015-12-11 00:00:00: outputs/gallagher059.png (13 moves, 110 miles)\n",
      "2015-12-12 00:00:00: outputs/gallagher060.png (17 moves, 104 miles)\n",
      "2015-12-13 00:00:00: outputs/gallagher061.png (16 moves, 184 miles)\n",
      "2015-12-14 00:00:00: outputs/gallagher062.png (16 moves, 136 miles)\n",
      "2015-12-15 00:00:00: outputs/gallagher063.png (15 moves, 158 miles)\n",
      "2015-12-16 00:00:00: outputs/gallagher064.png (12 moves, 138 miles)\n",
      "2015-12-17 00:00:00: outputs/gallagher065.png (15 moves, 183 miles)\n",
      "2015-12-18 00:00:00: outputs/gallagher066.png (16 moves, 116 miles)\n",
      "2015-12-19 00:00:00: outputs/gallagher067.png (20 moves, 72 miles)\n",
      "2015-12-20 00:00:00: outputs/gallagher068.png (11 moves, 54 miles)\n",
      "2015-12-21 00:00:00: outputs/gallagher069.png (16 moves, 437 miles)\n",
      "2015-12-22 00:00:00: outputs/gallagher070.png (25 moves, 239 miles)\n",
      "2015-12-23 00:00:00: outputs/gallagher071.png (13 moves, 158 miles)\n",
      "2015-12-24 00:00:00: outputs/gallagher072.png (14 moves, 90 miles)\n",
      "2015-12-25 00:00:00: outputs/gallagher073.png (13 moves, 230 miles)\n",
      "2015-12-26 00:00:00: outputs/gallagher074.png (14 moves, 275 miles)\n",
      "2015-12-27 00:00:00: outputs/gallagher075.png (9 moves, 163 miles)\n",
      "2015-12-28 00:00:00: outputs/gallagher076.png (7 moves, 37 miles)\n",
      "2015-12-29 00:00:00: outputs/gallagher077.png (13 moves, 315 miles)\n",
      "2015-12-30 00:00:00: outputs/gallagher078.png (27 moves, 142 miles)\n",
      "2016-01-01 00:00:00: outputs/gallagher079.png (21 moves, 199 miles)\n",
      "2016-01-02 00:00:00: outputs/gallagher080.png (15 moves, 252 miles)\n",
      "2016-01-03 00:00:00: outputs/gallagher081.png (10 moves, 75 miles)\n",
      "2016-01-04 00:00:00: outputs/gallagher082.png (8 moves, 112 miles)\n",
      "2016-01-05 00:00:00: outputs/gallagher083.png (14 moves, 138 miles)\n",
      "2016-01-06 00:00:00: outputs/gallagher084.png (9 moves, 186 miles)\n",
      "2016-01-07 00:00:00: outputs/gallagher085.png (4 moves, 35 miles)\n",
      "2016-01-08 00:00:00: outputs/gallagher086.png (20 moves, 262 miles)\n",
      "2016-01-09 00:00:00: outputs/gallagher087.png (26 moves, 248 miles)\n",
      "2016-01-10 00:00:00: outputs/gallagher088.png (34 moves, 162 miles)\n",
      "2016-01-11 00:00:00: outputs/gallagher089.png (18 moves, 135 miles)\n",
      "2016-01-12 00:00:00: outputs/gallagher090.png (10 moves, 98 miles)\n",
      "2016-01-13 00:00:00: outputs/gallagher091.png (11 moves, 186 miles)\n",
      "2016-01-14 00:00:00: outputs/gallagher092.png (12 moves, 124 miles)\n",
      "2016-01-15 00:00:00: outputs/gallagher093.png (24 moves, 114 miles)\n",
      "2016-01-16 00:00:00: outputs/gallagher094.png (15 moves, 98 miles)\n",
      "2016-01-17 00:00:00: outputs/gallagher095.png (33 moves, 330 miles)\n",
      "2016-01-18 00:00:00: outputs/gallagher096.png (19 moves, 130 miles)\n",
      "2016-01-19 00:00:00: outputs/gallagher097.png (6 moves, 86 miles)\n",
      "2016-01-20 00:00:00: outputs/gallagher098.png (11 moves, 209 miles)\n",
      "2016-01-21 00:00:00: outputs/gallagher099.png (8 moves, 68 miles)\n",
      "2016-01-22 00:00:00: outputs/gallagher100.png (9 moves, 82 miles)\n",
      "2016-01-23 00:00:00: outputs/gallagher101.png (5 moves, 57 miles)\n",
      "2016-01-24 00:00:00: outputs/gallagher102.png (17 moves, 162 miles)\n",
      "2016-01-25 00:00:00: outputs/gallagher103.png (9 moves, 65 miles)\n",
      "2016-01-26 00:00:00: outputs/gallagher104.png (7 moves, 265 miles)\n",
      "2016-01-27 00:00:00: outputs/gallagher105.png (17 moves, 156 miles)\n",
      "2016-01-28 00:00:00: outputs/gallagher106.png (8 moves, 137 miles)\n",
      "2016-01-29 00:00:00: outputs/gallagher107.png (13 moves, 132 miles)\n",
      "2016-01-30 00:00:00: outputs/gallagher108.png (10 moves, 178 miles)\n",
      "2016-01-31 00:00:00: outputs/gallagher109.png (9 moves, 160 miles)\n",
      "2016-02-01 00:00:00: outputs/gallagher110.png (2 moves, 86 miles)\n",
      "2016-02-02 00:00:00: outputs/gallagher111.png (4 moves, 145 miles)\n",
      "2016-02-03 00:00:00: outputs/gallagher112.png (6 moves, 25 miles)\n",
      "2016-02-04 00:00:00: outputs/gallagher113.png (9 moves, 97 miles)\n",
      "2016-02-05 00:00:00: outputs/gallagher114.png (12 moves, 58 miles)\n",
      "2016-02-06 00:00:00: outputs/gallagher115.png (12 moves, 123 miles)\n",
      "2016-02-07 00:00:00: outputs/gallagher116.png (3 moves, 120 miles)\n",
      "2016-02-08 00:00:00: outputs/gallagher117.png (11 moves, 349 miles)\n",
      "2016-02-09 00:00:00: outputs/gallagher118.png (11 moves, 104 miles)\n",
      "2016-02-10 00:00:00: outputs/gallagher119.png (7 moves, 80 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-02-11 00:00:00: outputs/gallagher120.png (3 moves, 57 miles)\n",
      "2016-02-12 00:00:00: outputs/gallagher121.png (7 moves, 184 miles)\n",
      "2016-02-13 00:00:00: outputs/gallagher122.png (5 moves, 150 miles)\n",
      "2016-02-14 00:00:00: outputs/gallagher123.png (11 moves, 130 miles)\n",
      "2016-02-15 00:00:00: outputs/gallagher124.png (9 moves, 99 miles)\n",
      "2016-02-16 00:00:00: outputs/gallagher125.png (2 moves, 2 miles)\n",
      "2016-02-17 00:00:00: outputs/gallagher126.png (4 moves, 107 miles)\n",
      "2016-02-18 00:00:00: outputs/gallagher127.png (1 moves, 42 miles)\n",
      "2016-02-19 00:00:00: outputs/gallagher128.png (3 moves, 26 miles)\n",
      "2016-02-20 00:00:00: outputs/gallagher129.png (3 moves, 192 miles)\n",
      "2016-02-21 00:00:00: outputs/gallagher130.png (2 moves, 40 miles)\n",
      "2016-02-22 00:00:00: outputs/gallagher131.png (4 moves, 119 miles)\n",
      "2016-02-23 00:00:00: outputs/gallagher132.png (3 moves, 163 miles)\n",
      "2016-02-24 00:00:00: outputs/gallagher133.png (2 moves, 64 miles)\n",
      "2016-02-25 00:00:00: outputs/gallagher134.png (9 moves, 132 miles)\n",
      "2016-02-26 00:00:00: outputs/gallagher135.png (7 moves, 220 miles)\n",
      "2016-02-27 00:00:00: outputs/gallagher136.png (1 moves, 59 miles)\n",
      "2016-02-28 00:00:00: outputs/gallagher137.png (4 moves, 152 miles)\n",
      "2016-02-29 00:00:00: outputs/gallagher138.png (9 moves, 90 miles)\n",
      "2016-03-01 00:00:00: outputs/gallagher139.png (10 moves, 46 miles)\n",
      "2016-03-02 00:00:00: outputs/gallagher140.png (6 moves, 77 miles)\n",
      "2016-03-03 00:00:00: outputs/gallagher141.png (4 moves, 81 miles)\n",
      "2016-03-04 00:00:00: outputs/gallagher142.png (5 moves, 68 miles)\n",
      "2016-03-05 00:00:00: outputs/gallagher143.png (14 moves, 82 miles)\n",
      "2016-03-06 00:00:00: outputs/gallagher144.png (5 moves, 43 miles)\n",
      "2016-03-07 00:00:00: outputs/gallagher145.png (6 moves, 36 miles)\n",
      "2016-03-08 00:00:00: outputs/gallagher146.png (18 moves, 51 miles)\n",
      "2016-03-09 00:00:00: outputs/gallagher147.png (2 moves, 33 miles)\n",
      "2016-03-10 00:00:00: outputs/gallagher148.png (0 moves, 0 miles)\n",
      "2016-03-11 00:00:00: outputs/gallagher149.png (8 moves, 71 miles)\n",
      "2016-03-12 00:00:00: outputs/gallagher150.png (9 moves, 46 miles)\n",
      "2016-03-13 00:00:00: outputs/gallagher151.png (2 moves, 38 miles)\n",
      "2016-03-14 00:00:00: outputs/gallagher152.png (7 moves, 47 miles)\n",
      "2016-03-15 00:00:00: outputs/gallagher153.png (15 moves, 41 miles)\n",
      "2016-03-16 00:00:00: outputs/gallagher154.png (7 moves, 40 miles)\n",
      "2016-03-17 00:00:00: outputs/gallagher155.png (6 moves, 56 miles)\n",
      "2016-03-18 00:00:00: outputs/gallagher156.png (3 moves, 28 miles)\n",
      "2016-03-19 00:00:00: outputs/gallagher157.png (7 moves, 67 miles)\n",
      "2016-03-20 00:00:00: outputs/gallagher158.png (13 moves, 29 miles)\n",
      "2016-03-21 00:00:00: outputs/gallagher159.png (11 moves, 117 miles)\n",
      "2016-03-22 00:00:00: outputs/gallagher160.png (7 moves, 10 miles)\n",
      "2016-03-23 00:00:00: outputs/gallagher161.png (26 moves, 176 miles)\n",
      "2016-03-24 00:00:00: outputs/gallagher162.png (4 moves, 455 miles)\n",
      "2016-03-25 00:00:00: outputs/gallagher163.png (4 moves, 114 miles)\n",
      "2016-03-26 00:00:00: outputs/gallagher164.png (2 moves, 72 miles)\n",
      "2016-03-27 00:00:00: outputs/gallagher165.png (3 moves, 27 miles)\n",
      "2016-03-28 00:00:00: outputs/gallagher166.png (1 moves, 33 miles)\n",
      "2016-03-29 00:00:00: outputs/gallagher167.png (12 moves, 98 miles)\n",
      "2016-03-30 00:00:00: outputs/gallagher168.png (5 moves, 31 miles)\n",
      "2016-03-31 00:00:00: outputs/gallagher169.png (3 moves, 30 miles)\n",
      "2016-04-01 00:00:00: outputs/gallagher170.png (9 moves, 38 miles)\n",
      "2016-04-02 00:00:00: outputs/gallagher171.png (11 moves, 221 miles)\n",
      "2016-04-03 00:00:00: outputs/gallagher172.png (8 moves, 158 miles)\n",
      "2016-04-04 00:00:00: outputs/gallagher173.png (2 moves, 77 miles)\n",
      "2016-04-05 00:00:00: outputs/gallagher174.png (2 moves, 109 miles)\n",
      "2016-04-06 00:00:00: outputs/gallagher175.png (0 moves, 0 miles)\n",
      "2016-04-07 00:00:00: outputs/gallagher176.png (0 moves, 0 miles)\n",
      "2016-04-08 00:00:00: outputs/gallagher177.png (0 moves, 0 miles)\n",
      "2016-04-09 00:00:00: outputs/gallagher178.png (0 moves, 0 miles)\n",
      "2016-04-10 00:00:00: outputs/gallagher179.png (0 moves, 0 miles)\n",
      "2016-04-11 00:00:00: outputs/gallagher180.png (0 moves, 0 miles)\n",
      "2016-04-12 00:00:00: outputs/gallagher181.png (0 moves, 0 miles)\n",
      "2016-04-13 00:00:00: outputs/gallagher182.png (1 moves, 63 miles)\n",
      "2016-04-14 00:00:00: outputs/gallagher183.png (12 moves, 61 miles)\n",
      "2016-04-15 00:00:00: outputs/gallagher184.png (10 moves, 39 miles)\n",
      "2016-04-16 00:00:00: outputs/gallagher185.png (20 moves, 89 miles)\n",
      "2016-04-17 00:00:00: outputs/gallagher186.png (10 moves, 66 miles)\n",
      "2016-04-18 00:00:00: outputs/gallagher187.png (2 moves, 20 miles)\n",
      "2016-04-19 00:00:00: outputs/gallagher188.png (3 moves, 63 miles)\n",
      "2016-04-20 00:00:00: outputs/gallagher189.png (3 moves, 66 miles)\n",
      "2016-04-21 00:00:00: outputs/gallagher190.png (2 moves, 51 miles)\n",
      "2016-04-22 00:00:00: outputs/gallagher191.png (3 moves, 107 miles)\n",
      "2016-04-23 00:00:00: outputs/gallagher192.png (0 moves, 0 miles)\n",
      "2016-04-24 00:00:00: outputs/gallagher193.png (11 moves, 81 miles)\n",
      "2016-04-25 00:00:00: outputs/gallagher194.png (5 moves, 122 miles)\n",
      "2016-04-26 00:00:00: outputs/gallagher195.png (0 moves, 0 miles)\n",
      "2016-04-27 00:00:00: outputs/gallagher196.png (2 moves, 148 miles)\n",
      "2016-04-28 00:00:00: outputs/gallagher197.png (0 moves, 0 miles)\n",
      "2016-04-29 00:00:00: outputs/gallagher198.png (0 moves, 0 miles)\n",
      "2016-04-30 00:00:00: outputs/gallagher199.png (4 moves, 31 miles)\n",
      "2016-05-01 00:00:00: outputs/gallagher200.png (7 moves, 149 miles)\n",
      "2016-05-02 00:00:00: outputs/gallagher201.png (7 moves, 125 miles)\n",
      "2016-05-03 00:00:00: outputs/gallagher202.png (0 moves, 0 miles)\n",
      "2016-05-04 00:00:00: outputs/gallagher203.png (0 moves, 0 miles)\n",
      "2016-05-05 00:00:00: outputs/gallagher204.png (6 moves, 141 miles)\n",
      "2016-05-06 00:00:00: outputs/gallagher205.png (2 moves, 30 miles)\n",
      "2016-05-07 00:00:00: outputs/gallagher206.png (0 moves, 0 miles)\n",
      "2016-05-08 00:00:00: outputs/gallagher207.png (0 moves, 0 miles)\n",
      "2016-05-09 00:00:00: outputs/gallagher208.png (0 moves, 0 miles)\n",
      "2016-05-10 00:00:00: outputs/gallagher209.png (0 moves, 0 miles)\n",
      "2016-05-11 00:00:00: outputs/gallagher210.png (6 moves, 33 miles)\n",
      "2016-05-12 00:00:00: outputs/gallagher211.png (1 moves, 146 miles)\n",
      "2016-05-13 00:00:00: outputs/gallagher212.png (4 moves, 40 miles)\n",
      "2016-05-14 00:00:00: outputs/gallagher213.png (3 moves, 8 miles)\n",
      "2016-05-15 00:00:00: outputs/gallagher214.png (4 moves, 147 miles)\n",
      "2016-05-16 00:00:00: outputs/gallagher215.png (19 moves, 93 miles)\n",
      "2016-05-17 00:00:00: outputs/gallagher216.png (19 moves, 32 miles)\n",
      "2016-05-18 00:00:00: outputs/gallagher217.png (7 moves, 13 miles)\n",
      "2016-05-19 00:00:00: outputs/gallagher218.png (10 moves, 65 miles)\n",
      "2016-05-20 00:00:00: outputs/gallagher219.png (13 moves, 11 miles)\n",
      "2016-05-21 00:00:00: outputs/gallagher220.png (11 moves, 124 miles)\n",
      "2016-05-22 00:00:00: outputs/gallagher221.png (16 moves, 92 miles)\n",
      "2016-05-23 00:00:00: outputs/gallagher222.png (19 moves, 42 miles)\n",
      "2016-05-24 00:00:00: outputs/gallagher223.png (11 moves, 117 miles)\n",
      "2016-05-25 00:00:00: outputs/gallagher224.png (7 moves, 149 miles)\n",
      "2016-05-26 00:00:00: outputs/gallagher225.png (3 moves, 102 miles)\n",
      "2016-05-27 00:00:00: outputs/gallagher226.png (4 moves, 53 miles)\n",
      "2016-05-28 00:00:00: outputs/gallagher227.png (2 moves, 16 miles)\n",
      "2016-05-29 00:00:00: outputs/gallagher228.png (3 moves, 252 miles)\n",
      "2016-05-30 00:00:00: outputs/gallagher229.png (1 moves, 75 miles)\n",
      "2016-05-31 00:00:00: outputs/gallagher230.png (4 moves, 103 miles)\n",
      "2016-06-01 00:00:00: outputs/gallagher231.png (0 moves, 0 miles)\n",
      "2016-06-02 00:00:00: outputs/gallagher232.png (15 moves, 200 miles)\n",
      "2016-06-03 00:00:00: outputs/gallagher233.png (10 moves, 80 miles)\n",
      "2016-06-04 00:00:00: outputs/gallagher234.png (1 moves, 53 miles)\n",
      "2016-06-05 00:00:00: outputs/gallagher235.png (3 moves, 51 miles)\n",
      "2016-06-06 00:00:00: outputs/gallagher236.png (1 moves, 32 miles)\n",
      "2016-06-07 00:00:00: outputs/gallagher237.png (13 moves, 174 miles)\n",
      "2016-06-08 00:00:00: outputs/gallagher238.png (13 moves, 130 miles)\n",
      "2016-06-09 00:00:00: outputs/gallagher239.png (10 moves, 39 miles)\n",
      "2016-06-10 00:00:00: outputs/gallagher240.png (15 moves, 64 miles)\n",
      "2016-06-11 00:00:00: outputs/gallagher241.png (9 moves, 13 miles)\n",
      "2016-06-12 00:00:00: outputs/gallagher242.png (8 moves, 204 miles)\n",
      "2016-06-13 00:00:00: outputs/gallagher243.png (12 moves, 58 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-06-14 00:00:00: outputs/gallagher244.png (9 moves, 71 miles)\n",
      "2016-06-15 00:00:00: outputs/gallagher245.png (14 moves, 23 miles)\n",
      "2016-06-16 00:00:00: outputs/gallagher246.png (11 moves, 19 miles)\n",
      "2016-06-17 00:00:00: outputs/gallagher247.png (7 moves, 35 miles)\n",
      "2016-06-18 00:00:00: outputs/gallagher248.png (5 moves, 21 miles)\n",
      "2016-06-19 00:00:00: outputs/gallagher249.png (2 moves, 12 miles)\n",
      "2016-06-20 00:00:00: outputs/gallagher250.png (6 moves, 25 miles)\n",
      "2016-06-21 00:00:00: outputs/gallagher251.png (5 moves, 94 miles)\n",
      "2016-06-22 00:00:00: outputs/gallagher252.png (4 moves, 16 miles)\n",
      "2016-06-23 00:00:00: outputs/gallagher253.png (3 moves, 111 miles)\n",
      "2016-06-24 00:00:00: outputs/gallagher254.png (7 moves, 48 miles)\n",
      "2016-06-25 00:00:00: outputs/gallagher255.png (4 moves, 18 miles)\n",
      "2016-06-26 00:00:00: outputs/gallagher256.png (2 moves, 9 miles)\n",
      "2016-06-27 00:00:00: outputs/gallagher257.png (4 moves, 14 miles)\n",
      "2016-06-28 00:00:00: outputs/gallagher258.png (3 moves, 14 miles)\n",
      "2016-06-29 00:00:00: outputs/gallagher259.png (7 moves, 32 miles)\n",
      "2016-06-30 00:00:00: outputs/gallagher260.png (4 moves, 48 miles)\n",
      "2016-07-01 00:00:00: outputs/gallagher261.png (10 moves, 44 miles)\n",
      "2016-07-02 00:00:00: outputs/gallagher262.png (4 moves, 246 miles)\n",
      "2016-07-03 00:00:00: outputs/gallagher263.png (3 moves, 54 miles)\n",
      "2016-07-04 00:00:00: outputs/gallagher264.png (3 moves, 45 miles)\n",
      "2016-07-05 00:00:00: outputs/gallagher265.png (3 moves, 49 miles)\n",
      "2016-07-06 00:00:00: outputs/gallagher266.png (5 moves, 185 miles)\n",
      "2016-07-07 00:00:00: outputs/gallagher267.png (4 moves, 37 miles)\n",
      "2016-07-08 00:00:00: outputs/gallagher268.png (9 moves, 44 miles)\n",
      "2016-07-09 00:00:00: outputs/gallagher269.png (3 moves, 35 miles)\n",
      "2016-07-10 00:00:00: outputs/gallagher270.png (5 moves, 697 miles)\n",
      "2016-07-11 00:00:00: outputs/gallagher271.png (5 moves, 33 miles)\n",
      "2016-07-12 00:00:00: outputs/gallagher272.png (3 moves, 10 miles)\n",
      "2016-07-13 00:00:00: outputs/gallagher273.png (6 moves, 22 miles)\n",
      "2016-07-14 00:00:00: outputs/gallagher274.png (4 moves, 22 miles)\n",
      "2016-07-15 00:00:00: outputs/gallagher275.png (2 moves, 7 miles)\n",
      "2016-07-16 00:00:00: outputs/gallagher276.png (4 moves, 10 miles)\n",
      "2016-07-17 00:00:00: outputs/gallagher277.png (9 moves, 18 miles)\n",
      "2016-07-18 00:00:00: outputs/gallagher278.png (8 moves, 21 miles)\n",
      "2016-07-19 00:00:00: outputs/gallagher279.png (2 moves, 5 miles)\n",
      "2016-07-20 00:00:00: outputs/gallagher280.png (4 moves, 5 miles)\n",
      "2016-07-21 00:00:00: outputs/gallagher281.png (6 moves, 13 miles)\n",
      "2016-07-22 00:00:00: outputs/gallagher282.png (6 moves, 29 miles)\n",
      "2016-07-23 00:00:00: outputs/gallagher283.png (6 moves, 7 miles)\n",
      "2016-07-24 00:00:00: outputs/gallagher284.png (2 moves, 10 miles)\n",
      "2016-07-25 00:00:00: outputs/gallagher285.png (1 moves, 4 miles)\n",
      "2016-07-26 00:00:00: outputs/gallagher286.png (3 moves, 44 miles)\n",
      "2016-07-27 00:00:00: outputs/gallagher287.png (1 moves, 15 miles)\n",
      "2016-07-28 00:00:00: outputs/gallagher288.png (0 moves, 0 miles)\n",
      "2016-07-29 00:00:00: outputs/gallagher289.png (1 moves, 9 miles)\n",
      "2016-07-30 00:00:00: outputs/gallagher290.png (0 moves, 0 miles)\n",
      "2016-07-31 00:00:00: outputs/gallagher291.png (2 moves, 15 miles)\n",
      "2016-08-01 00:00:00: outputs/gallagher292.png (1 moves, 763 miles)\n",
      "2016-08-02 00:00:00: outputs/gallagher293.png (1 moves, 21 miles)\n",
      "2016-08-03 00:00:00: outputs/gallagher294.png (1 moves, 11 miles)\n",
      "2016-08-04 00:00:00: outputs/gallagher295.png (0 moves, 0 miles)\n",
      "2016-08-05 00:00:00: outputs/gallagher296.png (2 moves, 48 miles)\n",
      "2016-08-06 00:00:00: outputs/gallagher297.png (1 moves, 8 miles)\n",
      "2016-08-07 00:00:00: outputs/gallagher298.png (0 moves, 0 miles)\n",
      "2016-08-08 00:00:00: outputs/gallagher299.png (1 moves, 46 miles)\n",
      "2016-08-09 00:00:00: outputs/gallagher300.png (0 moves, 0 miles)\n",
      "2016-08-10 00:00:00: outputs/gallagher301.png (0 moves, 0 miles)\n",
      "2016-08-11 00:00:00: outputs/gallagher302.png (1 moves, 12 miles)\n",
      "2016-08-12 00:00:00: outputs/gallagher303.png (0 moves, 0 miles)\n",
      "2016-08-13 00:00:00: outputs/gallagher304.png (0 moves, 0 miles)\n",
      "2016-08-14 00:00:00: outputs/gallagher305.png (0 moves, 0 miles)\n",
      "2016-08-15 00:00:00: outputs/gallagher306.png (0 moves, 0 miles)\n",
      "2016-08-16 00:00:00: outputs/gallagher307.png (0 moves, 0 miles)\n",
      "2016-08-17 00:00:00: outputs/gallagher308.png (0 moves, 0 miles)\n",
      "2016-08-18 00:00:00: outputs/gallagher309.png (0 moves, 0 miles)\n",
      "2016-08-19 00:00:00: outputs/gallagher310.png (0 moves, 0 miles)\n",
      "2016-08-20 00:00:00: outputs/gallagher311.png (1 moves, 275 miles)\n",
      "2016-08-21 00:00:00: outputs/gallagher312.png (1 moves, 62 miles)\n",
      "2016-08-22 00:00:00: outputs/gallagher313.png (4 moves, 16 miles)\n",
      "2016-08-23 00:00:00: outputs/gallagher314.png (0 moves, 0 miles)\n",
      "2016-08-24 00:00:00: outputs/gallagher315.png (0 moves, 0 miles)\n",
      "2016-08-25 00:00:00: outputs/gallagher316.png (2 moves, 69 miles)\n",
      "2016-08-26 00:00:00: outputs/gallagher317.png (3 moves, 23 miles)\n",
      "2016-08-27 00:00:00: outputs/gallagher318.png (2 moves, 7 miles)\n",
      "2016-08-28 00:00:00: outputs/gallagher319.png (38 moves, 143 miles)\n",
      "2016-08-29 00:00:00: outputs/gallagher320.png (33 moves, 146 miles)\n",
      "2016-08-30 00:00:00: outputs/gallagher321.png (21 moves, 118 miles)\n",
      "2016-08-31 00:00:00: outputs/gallagher322.png (46 moves, 211 miles)\n",
      "2016-09-01 00:00:00: outputs/gallagher323.png (10 moves, 95 miles)\n",
      "2016-09-02 00:00:00: outputs/gallagher324.png (15 moves, 103 miles)\n",
      "2016-09-03 00:00:00: outputs/gallagher325.png (19 moves, 138 miles)\n",
      "2016-09-04 00:00:00: outputs/gallagher326.png (25 moves, 224 miles)\n",
      "2016-09-05 00:00:00: outputs/gallagher327.png (10 moves, 103 miles)\n",
      "2016-09-06 00:00:00: outputs/gallagher328.png (15 moves, 175 miles)\n",
      "2016-09-07 00:00:00: outputs/gallagher329.png (21 moves, 301 miles)\n",
      "2016-09-08 00:00:00: outputs/gallagher330.png (24 moves, 244 miles)\n",
      "2016-09-09 00:00:00: outputs/gallagher331.png (12 moves, 138 miles)\n",
      "2016-09-10 00:00:00: outputs/gallagher332.png (16 moves, 189 miles)\n",
      "2016-09-11 00:00:00: outputs/gallagher333.png (22 moves, 330 miles)\n",
      "2016-09-12 00:00:00: outputs/gallagher334.png (15 moves, 253 miles)\n",
      "2016-09-13 00:00:00: outputs/gallagher335.png (11 moves, 123 miles)\n",
      "2016-09-14 00:00:00: outputs/gallagher336.png (14 moves, 196 miles)\n",
      "2016-09-15 00:00:00: outputs/gallagher337.png (17 moves, 187 miles)\n",
      "2016-09-16 00:00:00: outputs/gallagher338.png (9 moves, 137 miles)\n",
      "2016-09-17 00:00:00: outputs/gallagher339.png (9 moves, 167 miles)\n",
      "2016-09-18 00:00:00: outputs/gallagher340.png (14 moves, 49 miles)\n",
      "2016-09-19 00:00:00: outputs/gallagher341.png (13 moves, 93 miles)\n",
      "2016-09-20 00:00:00: outputs/gallagher342.png (11 moves, 51 miles)\n",
      "2016-09-21 00:00:00: outputs/gallagher343.png (10 moves, 176 miles)\n",
      "2016-09-22 00:00:00: outputs/gallagher344.png (15 moves, 318 miles)\n",
      "2016-09-23 00:00:00: outputs/gallagher345.png (25 moves, 174 miles)\n",
      "2016-09-24 00:00:00: outputs/gallagher346.png (22 moves, 113 miles)\n",
      "2016-09-25 00:00:00: outputs/gallagher347.png (12 moves, 96 miles)\n",
      "2016-09-26 00:00:00: outputs/gallagher348.png (17 moves, 125 miles)\n",
      "2016-09-27 00:00:00: outputs/gallagher349.png (16 moves, 71 miles)\n",
      "2016-09-28 00:00:00: outputs/gallagher350.png (8 moves, 46 miles)\n",
      "2016-09-29 00:00:00: outputs/gallagher351.png (13 moves, 166 miles)\n",
      "2016-09-30 00:00:00: outputs/gallagher352.png (17 moves, 584 miles)\n",
      "2016-10-01 00:00:00: outputs/gallagher353.png (12 moves, 75 miles)\n",
      "2016-10-02 00:00:00: outputs/gallagher354.png (14 moves, 189 miles)\n",
      "2016-10-03 00:00:00: outputs/gallagher355.png (16 moves, 196 miles)\n",
      "2016-10-04 00:00:00: outputs/gallagher356.png (7 moves, 73 miles)\n",
      "2016-10-05 00:00:00: outputs/gallagher357.png (9 moves, 98 miles)\n",
      "2016-10-06 00:00:00: outputs/gallagher358.png (10 moves, 177 miles)\n",
      "2016-10-07 00:00:00: outputs/gallagher359.png (10 moves, 148 miles)\n",
      "2016-10-08 00:00:00: outputs/gallagher360.png (16 moves, 152 miles)\n",
      "2016-10-09 00:00:00: outputs/gallagher361.png (16 moves, 117 miles)\n",
      "2016-10-10 00:00:00: outputs/gallagher362.png (17 moves, 290 miles)\n",
      "2016-10-11 00:00:00: outputs/gallagher363.png (14 moves, 166 miles)\n",
      "2016-10-12 00:00:00: outputs/gallagher364.png (10 moves, 152 miles)\n",
      "2016-10-13 00:00:00: outputs/gallagher365.png (13 moves, 139 miles)\n",
      "2016-10-14 00:00:00: outputs/gallagher366.png (13 moves, 286 miles)\n",
      "2016-10-15 00:00:00: outputs/gallagher367.png (15 moves, 199 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016-10-16 00:00:00: outputs/gallagher368.png (12 moves, 103 miles)\n",
      "2016-10-17 00:00:00: outputs/gallagher369.png (16 moves, 220 miles)\n",
      "2016-10-18 00:00:00: outputs/gallagher370.png (5 moves, 96 miles)\n",
      "2016-10-19 00:00:00: outputs/gallagher371.png (25 moves, 369 miles)\n",
      "2016-10-20 00:00:00: outputs/gallagher372.png (15 moves, 160 miles)\n",
      "2016-10-21 00:00:00: outputs/gallagher373.png (31 moves, 194 miles)\n",
      "2016-10-22 00:00:00: outputs/gallagher374.png (15 moves, 391 miles)\n",
      "2016-10-23 00:00:00: outputs/gallagher375.png (30 moves, 518 miles)\n",
      "2016-10-24 00:00:00: outputs/gallagher376.png (29 moves, 431 miles)\n",
      "2016-10-25 00:00:00: outputs/gallagher377.png (24 moves, 355 miles)\n",
      "2016-10-26 00:00:00: outputs/gallagher378.png (17 moves, 319 miles)\n",
      "2016-10-27 00:00:00: outputs/gallagher379.png (25 moves, 179 miles)\n",
      "2016-10-28 00:00:00: outputs/gallagher380.png (21 moves, 296 miles)\n",
      "2016-10-29 00:00:00: outputs/gallagher381.png (9 moves, 138 miles)\n",
      "2016-10-30 00:00:00: outputs/gallagher382.png (9 moves, 388 miles)\n",
      "2016-10-31 00:00:00: outputs/gallagher383.png (5 moves, 136 miles)\n",
      "2016-11-01 00:00:00: outputs/gallagher384.png (13 moves, 607 miles)\n",
      "2016-11-02 00:00:00: outputs/gallagher385.png (9 moves, 237 miles)\n",
      "2016-11-03 00:00:00: outputs/gallagher386.png (10 moves, 494 miles)\n",
      "2016-11-04 00:00:00: outputs/gallagher387.png (13 moves, 250 miles)\n",
      "2016-11-05 00:00:00: outputs/gallagher388.png (7 moves, 155 miles)\n",
      "2016-11-06 00:00:00: outputs/gallagher389.png (9 moves, 101 miles)\n",
      "2016-11-07 00:00:00: outputs/gallagher390.png (13 moves, 648 miles)\n",
      "2016-11-08 00:00:00: outputs/gallagher391.png (13 moves, 122 miles)\n",
      "2016-11-09 00:00:00: outputs/gallagher392.png (7 moves, 26 miles)\n",
      "2016-11-10 00:00:00: outputs/gallagher393.png (23 moves, 425 miles)\n",
      "2016-11-11 00:00:00: outputs/gallagher394.png (6 moves, 69 miles)\n",
      "2016-11-12 00:00:00: outputs/gallagher395.png (16 moves, 90 miles)\n",
      "2016-11-13 00:00:00: outputs/gallagher396.png (7 moves, 621 miles)\n",
      "2016-11-14 00:00:00: outputs/gallagher397.png (7 moves, 104 miles)\n",
      "2016-11-15 00:00:00: outputs/gallagher398.png (7 moves, 305 miles)\n",
      "2016-11-16 00:00:00: outputs/gallagher399.png (2 moves, 27 miles)\n",
      "2016-11-17 00:00:00: outputs/gallagher400.png (6 moves, 253 miles)\n",
      "2016-11-18 00:00:00: outputs/gallagher401.png (7 moves, 144 miles)\n",
      "2016-11-19 00:00:00: outputs/gallagher402.png (6 moves, 374 miles)\n",
      "2016-11-20 00:00:00: outputs/gallagher403.png (6 moves, 29 miles)\n",
      "2016-11-21 00:00:00: outputs/gallagher404.png (8 moves, 210 miles)\n",
      "2016-11-22 00:00:00: outputs/gallagher405.png (12 moves, 255 miles)\n",
      "2016-11-23 00:00:00: outputs/gallagher406.png (13 moves, 82 miles)\n",
      "2016-11-24 00:00:00: outputs/gallagher407.png (11 moves, 234 miles)\n",
      "2016-11-25 00:00:00: outputs/gallagher408.png (13 moves, 93 miles)\n",
      "2016-11-26 00:00:00: outputs/gallagher409.png (24 moves, 260 miles)\n",
      "2016-11-27 00:00:00: outputs/gallagher410.png (15 moves, 145 miles)\n",
      "2016-11-28 00:00:00: outputs/gallagher411.png (12 moves, 160 miles)\n",
      "2016-11-29 00:00:00: outputs/gallagher412.png (14 moves, 218 miles)\n",
      "2016-11-30 00:00:00: outputs/gallagher413.png (12 moves, 268 miles)\n",
      "2016-12-01 00:00:00: outputs/gallagher414.png (11 moves, 106 miles)\n",
      "2016-12-02 00:00:00: outputs/gallagher415.png (9 moves, 102 miles)\n",
      "2016-12-03 00:00:00: outputs/gallagher416.png (6 moves, 86 miles)\n",
      "2016-12-04 00:00:00: outputs/gallagher417.png (7 moves, 260 miles)\n",
      "2016-12-05 00:00:00: outputs/gallagher418.png (17 moves, 165 miles)\n",
      "2016-12-06 00:00:00: outputs/gallagher419.png (13 moves, 160 miles)\n",
      "2016-12-07 00:00:00: outputs/gallagher420.png (8 moves, 73 miles)\n",
      "2016-12-08 00:00:00: outputs/gallagher421.png (17 moves, 118 miles)\n",
      "2016-12-09 00:00:00: outputs/gallagher422.png (11 moves, 265 miles)\n",
      "2016-12-10 00:00:00: outputs/gallagher423.png (14 moves, 144 miles)\n",
      "2016-12-11 00:00:00: outputs/gallagher424.png (14 moves, 548 miles)\n",
      "2016-12-12 00:00:00: outputs/gallagher425.png (9 moves, 191 miles)\n",
      "2016-12-13 00:00:00: outputs/gallagher426.png (11 moves, 200 miles)\n",
      "2016-12-14 00:00:00: outputs/gallagher427.png (7 moves, 507 miles)\n",
      "2016-12-15 00:00:00: outputs/gallagher428.png (9 moves, 222 miles)\n",
      "2016-12-16 00:00:00: outputs/gallagher429.png (16 moves, 232 miles)\n",
      "2016-12-17 00:00:00: outputs/gallagher430.png (11 moves, 216 miles)\n",
      "2016-12-18 00:00:00: outputs/gallagher431.png (9 moves, 156 miles)\n",
      "2016-12-19 00:00:00: outputs/gallagher432.png (7 moves, 426 miles)\n",
      "2016-12-20 00:00:00: outputs/gallagher433.png (8 moves, 333 miles)\n",
      "2016-12-21 00:00:00: outputs/gallagher434.png (7 moves, 196 miles)\n",
      "2016-12-22 00:00:00: outputs/gallagher435.png (3 moves, 141 miles)\n",
      "2016-12-23 00:00:00: outputs/gallagher436.png (13 moves, 823 miles)\n",
      "2016-12-24 00:00:00: outputs/gallagher437.png (7 moves, 137 miles)\n",
      "2016-12-25 00:00:00: outputs/gallagher438.png (2 moves, 48 miles)\n",
      "2016-12-26 00:00:00: outputs/gallagher439.png (17 moves, 134 miles)\n",
      "2016-12-27 00:00:00: outputs/gallagher440.png (4 moves, 162 miles)\n",
      "2016-12-28 00:00:00: outputs/gallagher441.png (8 moves, 471 miles)\n",
      "2016-12-29 00:00:00: outputs/gallagher442.png (7 moves, 383 miles)\n",
      "2016-12-30 00:00:00: outputs/gallagher443.png (4 moves, 135 miles)\n",
      "2017-01-01 00:00:00: outputs/gallagher444.png (22 moves, 437 miles)\n",
      "2017-01-02 00:00:00: outputs/gallagher445.png (8 moves, 223 miles)\n",
      "2017-01-03 00:00:00: outputs/gallagher446.png (4 moves, 97 miles)\n",
      "2017-01-04 00:00:00: outputs/gallagher447.png (13 moves, 148 miles)\n",
      "2017-01-05 00:00:00: outputs/gallagher448.png (5 moves, 99 miles)\n",
      "2017-01-06 00:00:00: outputs/gallagher449.png (6 moves, 58 miles)\n",
      "2017-01-07 00:00:00: outputs/gallagher450.png (9 moves, 83 miles)\n",
      "2017-01-08 00:00:00: outputs/gallagher451.png (9 moves, 550 miles)\n",
      "2017-01-09 00:00:00: outputs/gallagher452.png (2 moves, 24 miles)\n",
      "2017-01-10 00:00:00: outputs/gallagher453.png (12 moves, 292 miles)\n",
      "2017-01-11 00:00:00: outputs/gallagher454.png (10 moves, 218 miles)\n",
      "2017-01-12 00:00:00: outputs/gallagher455.png (8 moves, 460 miles)\n",
      "2017-01-13 00:00:00: outputs/gallagher456.png (14 moves, 219 miles)\n",
      "2017-01-14 00:00:00: outputs/gallagher457.png (7 moves, 104 miles)\n",
      "2017-01-15 00:00:00: outputs/gallagher458.png (12 moves, 169 miles)\n",
      "2017-01-16 00:00:00: outputs/gallagher459.png (6 moves, 115 miles)\n",
      "2017-01-17 00:00:00: outputs/gallagher460.png (12 moves, 136 miles)\n",
      "2017-01-18 00:00:00: outputs/gallagher461.png (8 moves, 276 miles)\n",
      "2017-01-19 00:00:00: outputs/gallagher462.png (8 moves, 96 miles)\n",
      "2017-01-20 00:00:00: outputs/gallagher463.png (8 moves, 94 miles)\n",
      "2017-01-21 00:00:00: outputs/gallagher464.png (1 moves, 6 miles)\n",
      "2017-01-22 00:00:00: outputs/gallagher465.png (7 moves, 109 miles)\n",
      "2017-01-23 00:00:00: outputs/gallagher466.png (4 moves, 83 miles)\n",
      "2017-01-24 00:00:00: outputs/gallagher467.png (5 moves, 405 miles)\n",
      "2017-01-25 00:00:00: outputs/gallagher468.png (3 moves, 39 miles)\n",
      "2017-01-26 00:00:00: outputs/gallagher469.png (3 moves, 82 miles)\n",
      "2017-01-27 00:00:00: outputs/gallagher470.png (10 moves, 215 miles)\n",
      "2017-01-28 00:00:00: outputs/gallagher471.png (4 moves, 79 miles)\n",
      "2017-01-29 00:00:00: outputs/gallagher472.png (8 moves, 219 miles)\n",
      "2017-01-30 00:00:00: outputs/gallagher473.png (7 moves, 230 miles)\n",
      "2017-01-31 00:00:00: outputs/gallagher474.png (1 moves, 97 miles)\n",
      "2017-02-01 00:00:00: outputs/gallagher475.png (3 moves, 130 miles)\n",
      "2017-02-02 00:00:00: outputs/gallagher476.png (4 moves, 495 miles)\n",
      "2017-02-03 00:00:00: outputs/gallagher477.png (1 moves, 44 miles)\n",
      "2017-02-04 00:00:00: outputs/gallagher478.png (19 moves, 312 miles)\n",
      "2017-02-05 00:00:00: outputs/gallagher479.png (4 moves, 40 miles)\n",
      "2017-02-06 00:00:00: outputs/gallagher480.png (7 moves, 147 miles)\n",
      "2017-02-07 00:00:00: outputs/gallagher481.png (9 moves, 186 miles)\n",
      "2017-02-08 00:00:00: outputs/gallagher482.png (14 moves, 53 miles)\n",
      "2017-02-09 00:00:00: outputs/gallagher483.png (17 moves, 227 miles)\n",
      "2017-02-10 00:00:00: outputs/gallagher484.png (13 moves, 225 miles)\n",
      "2017-02-11 00:00:00: outputs/gallagher485.png (8 moves, 86 miles)\n",
      "2017-02-12 00:00:00: outputs/gallagher486.png (11 moves, 92 miles)\n",
      "2017-02-13 00:00:00: outputs/gallagher487.png (11 moves, 101 miles)\n",
      "2017-02-14 00:00:00: outputs/gallagher488.png (11 moves, 201 miles)\n",
      "2017-02-15 00:00:00: outputs/gallagher489.png (10 moves, 145 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2017-02-16 00:00:00: outputs/gallagher490.png (7 moves, 312 miles)\n",
      "2017-02-17 00:00:00: outputs/gallagher491.png (8 moves, 118 miles)\n",
      "2017-02-18 00:00:00: outputs/gallagher492.png (9 moves, 54 miles)\n",
      "2017-02-19 00:00:00: outputs/gallagher493.png (6 moves, 38 miles)\n",
      "2017-02-20 00:00:00: outputs/gallagher494.png (7 moves, 197 miles)\n",
      "2017-02-21 00:00:00: outputs/gallagher495.png (12 moves, 149 miles)\n",
      "2017-02-22 00:00:00: outputs/gallagher496.png (7 moves, 153 miles)\n",
      "2017-02-23 00:00:00: outputs/gallagher497.png (7 moves, 83 miles)\n",
      "2017-02-24 00:00:00: outputs/gallagher498.png (4 moves, 56 miles)\n",
      "2017-02-25 00:00:00: outputs/gallagher499.png (5 moves, 94 miles)\n",
      "2017-02-26 00:00:00: outputs/gallagher500.png (3 moves, 284 miles)\n",
      "2017-02-27 00:00:00: outputs/gallagher501.png (4 moves, 95 miles)\n",
      "2017-02-28 00:00:00: outputs/gallagher502.png (2 moves, 169 miles)\n",
      "2017-03-01 00:00:00: outputs/gallagher503.png (6 moves, 177 miles)\n",
      "2017-03-02 00:00:00: outputs/gallagher504.png (3 moves, 201 miles)\n",
      "2017-03-03 00:00:00: outputs/gallagher505.png (3 moves, 122 miles)\n",
      "2017-03-04 00:00:00: outputs/gallagher506.png (4 moves, 246 miles)\n",
      "2017-03-05 00:00:00: outputs/gallagher507.png (7 moves, 154 miles)\n",
      "2017-03-06 00:00:00: outputs/gallagher508.png (2 moves, 81 miles)\n",
      "2017-03-07 00:00:00: outputs/gallagher509.png (5 moves, 69 miles)\n",
      "2017-03-08 00:00:00: outputs/gallagher510.png (5 moves, 42 miles)\n",
      "2017-03-09 00:00:00: outputs/gallagher511.png (9 moves, 315 miles)\n",
      "2017-03-10 00:00:00: outputs/gallagher512.png (3 moves, 100 miles)\n",
      "2017-03-11 00:00:00: outputs/gallagher513.png (1 moves, 28 miles)\n",
      "2017-03-12 00:00:00: outputs/gallagher514.png (3 moves, 165 miles)\n",
      "2017-03-13 00:00:00: outputs/gallagher515.png (5 moves, 58 miles)\n",
      "2017-03-14 00:00:00: outputs/gallagher516.png (6 moves, 68 miles)\n",
      "2017-03-15 00:00:00: outputs/gallagher517.png (4 moves, 199 miles)\n",
      "2017-03-16 00:00:00: outputs/gallagher518.png (1 moves, 54 miles)\n",
      "2017-03-17 00:00:00: outputs/gallagher519.png (2 moves, 96 miles)\n",
      "2017-03-18 00:00:00: outputs/gallagher520.png (3 moves, 25 miles)\n",
      "2017-03-19 00:00:00: outputs/gallagher521.png (3 moves, 13 miles)\n",
      "2017-03-20 00:00:00: outputs/gallagher522.png (1 moves, 10 miles)\n",
      "2017-03-21 00:00:00: outputs/gallagher523.png (5 moves, 17 miles)\n",
      "2017-03-22 00:00:00: outputs/gallagher524.png (0 moves, 0 miles)\n",
      "2017-03-23 00:00:00: outputs/gallagher525.png (2 moves, 198 miles)\n",
      "2017-03-24 00:00:00: outputs/gallagher526.png (2 moves, 39 miles)\n",
      "2017-03-25 00:00:00: outputs/gallagher527.png (2 moves, 10 miles)\n",
      "2017-03-26 00:00:00: outputs/gallagher528.png (8 moves, 166 miles)\n",
      "2017-03-27 00:00:00: outputs/gallagher529.png (0 moves, 0 miles)\n",
      "2017-03-28 00:00:00: outputs/gallagher530.png (1 moves, 11 miles)\n",
      "2017-03-29 00:00:00: outputs/gallagher531.png (5 moves, 124 miles)\n",
      "2017-03-30 00:00:00: outputs/gallagher532.png (2 moves, 29 miles)\n",
      "2017-03-31 00:00:00: outputs/gallagher533.png (0 moves, 0 miles)\n",
      "2017-04-01 00:00:00: outputs/gallagher534.png (3 moves, 130 miles)\n",
      "2017-04-02 00:00:00: outputs/gallagher535.png (16 moves, 1091 miles)\n",
      "2017-04-03 00:00:00: outputs/gallagher536.png (20 moves, 137 miles)\n",
      "2017-04-04 00:00:00: outputs/gallagher537.png (28 moves, 219 miles)\n",
      "2017-04-05 00:00:00: outputs/gallagher538.png (14 moves, 197 miles)\n",
      "2017-04-06 00:00:00: outputs/gallagher539.png (14 moves, 305 miles)\n",
      "2017-04-07 00:00:00: outputs/gallagher540.png (15 moves, 197 miles)\n",
      "2017-04-08 00:00:00: outputs/gallagher541.png (16 moves, 155 miles)\n",
      "2017-04-09 00:00:00: outputs/gallagher542.png (13 moves, 123 miles)\n",
      "2017-04-10 00:00:00: outputs/gallagher543.png (13 moves, 107 miles)\n",
      "2017-04-11 00:00:00: outputs/gallagher544.png (2 moves, 18 miles)\n",
      "2017-04-12 00:00:00: outputs/gallagher545.png (4 moves, 275 miles)\n",
      "2017-04-13 00:00:00: outputs/gallagher546.png (5 moves, 54 miles)\n",
      "2017-04-14 00:00:00: outputs/gallagher547.png (4 moves, 107 miles)\n",
      "2017-04-15 00:00:00: outputs/gallagher548.png (3 moves, 169 miles)\n",
      "2017-04-16 00:00:00: outputs/gallagher549.png (7 moves, 98 miles)\n",
      "2017-04-17 00:00:00: outputs/gallagher550.png (4 moves, 105 miles)\n",
      "2017-04-18 00:00:00: outputs/gallagher551.png (5 moves, 285 miles)\n",
      "2017-04-19 00:00:00: outputs/gallagher552.png (2 moves, 48 miles)\n",
      "2017-04-20 00:00:00: outputs/gallagher553.png (1 moves, 68 miles)\n",
      "2017-04-21 00:00:00: outputs/gallagher554.png (1 moves, 58 miles)\n",
      "2017-04-22 00:00:00: outputs/gallagher555.png (1 moves, 70 miles)\n",
      "2017-04-23 00:00:00: outputs/gallagher556.png (6 moves, 194 miles)\n",
      "2017-04-24 00:00:00: outputs/gallagher557.png (2 moves, 92 miles)\n",
      "2017-04-25 00:00:00: outputs/gallagher558.png (3 moves, 106 miles)\n",
      "2017-04-26 00:00:00: outputs/gallagher559.png (2 moves, 138 miles)\n",
      "2017-04-27 00:00:00: outputs/gallagher560.png (0 moves, 0 miles)\n",
      "2017-04-28 00:00:00: outputs/gallagher561.png (1 moves, 17 miles)\n",
      "2017-04-29 00:00:00: outputs/gallagher562.png (2 moves, 66 miles)\n",
      "2017-04-30 00:00:00: outputs/gallagher563.png (1 moves, 63 miles)\n",
      "2017-05-01 00:00:00: outputs/gallagher564.png (1 moves, 101 miles)\n",
      "2017-05-02 00:00:00: outputs/gallagher565.png (2 moves, 93 miles)\n",
      "2017-05-03 00:00:00: outputs/gallagher566.png (6 moves, 122 miles)\n",
      "2017-05-04 00:00:00: outputs/gallagher567.png (4 moves, 93 miles)\n",
      "2017-05-05 00:00:00: outputs/gallagher568.png (4 moves, 63 miles)\n",
      "2017-05-06 00:00:00: outputs/gallagher569.png (5 moves, 61 miles)\n",
      "2017-05-07 00:00:00: outputs/gallagher570.png (4 moves, 102 miles)\n",
      "2017-05-08 00:00:00: outputs/gallagher571.png (3 moves, 93 miles)\n",
      "2017-05-09 00:00:00: outputs/gallagher572.png (1 moves, 20 miles)\n",
      "2017-05-10 00:00:00: outputs/gallagher573.png (6 moves, 138 miles)\n",
      "2017-05-11 00:00:00: outputs/gallagher574.png (0 moves, 0 miles)\n",
      "2017-05-12 00:00:00: outputs/gallagher575.png (5 moves, 25 miles)\n",
      "2017-05-13 00:00:00: outputs/gallagher576.png (4 moves, 96 miles)\n",
      "2017-05-14 00:00:00: outputs/gallagher577.png (1 moves, 29 miles)\n",
      "2017-05-15 00:00:00: outputs/gallagher578.png (2 moves, 13 miles)\n",
      "2017-05-16 00:00:00: outputs/gallagher579.png (2 moves, 26 miles)\n",
      "2017-05-17 00:00:00: outputs/gallagher580.png (0 moves, 0 miles)\n",
      "2017-05-18 00:00:00: outputs/gallagher581.png (0 moves, 0 miles)\n",
      "2017-05-19 00:00:00: outputs/gallagher582.png (0 moves, 0 miles)\n",
      "2017-05-20 00:00:00: outputs/gallagher583.png (1 moves, 34 miles)\n",
      "2017-05-21 00:00:00: outputs/gallagher584.png (3 moves, 64 miles)\n",
      "2017-05-22 00:00:00: outputs/gallagher585.png (4 moves, 44 miles)\n",
      "2017-05-23 00:00:00: outputs/gallagher586.png (1 moves, 430 miles)\n",
      "2017-05-24 00:00:00: outputs/gallagher587.png (3 moves, 86 miles)\n",
      "2017-05-25 00:00:00: outputs/gallagher588.png (4 moves, 149 miles)\n",
      "2017-05-26 00:00:00: outputs/gallagher589.png (5 moves, 133 miles)\n",
      "2017-05-27 00:00:00: outputs/gallagher590.png (10 moves, 60 miles)\n",
      "2017-05-28 00:00:00: outputs/gallagher591.png (12 moves, 138 miles)\n",
      "2017-05-29 00:00:00: outputs/gallagher592.png (1 moves, 515 miles)\n",
      "2017-05-30 00:00:00: outputs/gallagher593.png (0 moves, 0 miles)\n",
      "2017-05-31 00:00:00: outputs/gallagher594.png (2 moves, 250 miles)\n",
      "2017-06-01 00:00:00: outputs/gallagher595.png (1 moves, 117 miles)\n",
      "2017-06-02 00:00:00: outputs/gallagher596.png (2 moves, 58 miles)\n",
      "2017-06-03 00:00:00: outputs/gallagher597.png (0 moves, 0 miles)\n",
      "2017-06-04 00:00:00: outputs/gallagher598.png (1 moves, 289 miles)\n",
      "2017-06-05 00:00:00: outputs/gallagher599.png (1 moves, 82 miles)\n",
      "2017-06-06 00:00:00: outputs/gallagher600.png (1 moves, 1 miles)\n",
      "2017-06-07 00:00:00: outputs/gallagher601.png (2 moves, 52 miles)\n",
      "2017-06-08 00:00:00: outputs/gallagher602.png (0 moves, 0 miles)\n",
      "2017-06-09 00:00:00: outputs/gallagher603.png (1 moves, 10 miles)\n",
      "2017-06-10 00:00:00: outputs/gallagher604.png (2 moves, 38 miles)\n",
      "2017-06-11 00:00:00: outputs/gallagher605.png (0 moves, 0 miles)\n",
      "2017-06-12 00:00:00: outputs/gallagher606.png (0 moves, 0 miles)\n",
      "2017-06-13 00:00:00: outputs/gallagher607.png (0 moves, 0 miles)\n",
      "2017-06-14 00:00:00: outputs/gallagher608.png (4 moves, 13 miles)\n",
      "2017-06-15 00:00:00: outputs/gallagher609.png (6 moves, 45 miles)\n",
      "2017-06-16 00:00:00: outputs/gallagher610.png (3 moves, 8 miles)\n",
      "2017-06-17 00:00:00: outputs/gallagher611.png (8 moves, 29 miles)\n",
      "2017-06-18 00:00:00: outputs/gallagher612.png (5 moves, 12 miles)\n",
      "2017-06-19 00:00:00: outputs/gallagher613.png (5 moves, 56 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2017-06-20 00:00:00: outputs/gallagher614.png (5 moves, 61 miles)\n",
      "2017-06-21 00:00:00: outputs/gallagher615.png (5 moves, 59 miles)\n",
      "2017-06-22 00:00:00: outputs/gallagher616.png (7 moves, 373 miles)\n",
      "2017-06-23 00:00:00: outputs/gallagher617.png (0 moves, 0 miles)\n",
      "2017-06-24 00:00:00: outputs/gallagher618.png (0 moves, 0 miles)\n",
      "2017-06-25 00:00:00: outputs/gallagher619.png (0 moves, 0 miles)\n",
      "2017-06-26 00:00:00: outputs/gallagher620.png (0 moves, 0 miles)\n",
      "2017-06-27 00:00:00: outputs/gallagher621.png (0 moves, 0 miles)\n",
      "2017-06-28 00:00:00: outputs/gallagher622.png (1 moves, 105 miles)\n",
      "2017-06-29 00:00:00: outputs/gallagher623.png (1 moves, 34 miles)\n",
      "2017-06-30 00:00:00: outputs/gallagher624.png (2 moves, 48 miles)\n",
      "2017-07-01 00:00:00: outputs/gallagher625.png (2 moves, 94 miles)\n",
      "2017-07-02 00:00:00: outputs/gallagher626.png (0 moves, 0 miles)\n",
      "2017-07-03 00:00:00: outputs/gallagher627.png (0 moves, 0 miles)\n",
      "2017-07-04 00:00:00: outputs/gallagher628.png (1 moves, 198 miles)\n",
      "2017-07-05 00:00:00: outputs/gallagher629.png (0 moves, 0 miles)\n",
      "2017-07-06 00:00:00: outputs/gallagher630.png (0 moves, 0 miles)\n",
      "2017-07-07 00:00:00: outputs/gallagher631.png (1 moves, 32 miles)\n",
      "2017-07-08 00:00:00: outputs/gallagher632.png (3 moves, 104 miles)\n",
      "2017-07-09 00:00:00: outputs/gallagher633.png (1 moves, 58 miles)\n",
      "2017-07-10 00:00:00: outputs/gallagher634.png (2 moves, 60 miles)\n",
      "2017-07-11 00:00:00: outputs/gallagher635.png (1 moves, 15 miles)\n",
      "2017-07-12 00:00:00: outputs/gallagher636.png (4 moves, 30 miles)\n",
      "2017-07-13 00:00:00: outputs/gallagher637.png (1 moves, 137 miles)\n",
      "2017-07-14 00:00:00: outputs/gallagher638.png (1 moves, 86 miles)\n",
      "2017-07-15 00:00:00: outputs/gallagher639.png (0 moves, 0 miles)\n",
      "2017-07-16 00:00:00: outputs/gallagher640.png (0 moves, 0 miles)\n",
      "2017-07-17 00:00:00: outputs/gallagher641.png (0 moves, 0 miles)\n",
      "2017-07-18 00:00:00: outputs/gallagher642.png (0 moves, 0 miles)\n",
      "2017-07-19 00:00:00: outputs/gallagher643.png (0 moves, 0 miles)\n",
      "2017-07-20 00:00:00: outputs/gallagher644.png (1 moves, 647 miles)\n",
      "2017-07-21 00:00:00: outputs/gallagher645.png (0 moves, 0 miles)\n",
      "2017-07-22 00:00:00: outputs/gallagher646.png (1 moves, 22 miles)\n",
      "2017-07-23 00:00:00: outputs/gallagher647.png (2 moves, 293 miles)\n",
      "2017-07-24 00:00:00: outputs/gallagher648.png (1 moves, 1 miles)\n",
      "2017-07-25 00:00:00: outputs/gallagher649.png (2 moves, 69 miles)\n",
      "2017-07-26 00:00:00: outputs/gallagher650.png (3 moves, 82 miles)\n",
      "2017-07-27 00:00:00: outputs/gallagher651.png (2 moves, 40 miles)\n",
      "2017-07-28 00:00:00: outputs/gallagher652.png (2 moves, 4 miles)\n",
      "2017-07-29 00:00:00: outputs/gallagher653.png (0 moves, 0 miles)\n",
      "2017-07-30 00:00:00: outputs/gallagher654.png (3 moves, 33 miles)\n",
      "2017-07-31 00:00:00: outputs/gallagher655.png (13 moves, 241 miles)\n",
      "2017-08-01 00:00:00: outputs/gallagher656.png (22 moves, 97 miles)\n",
      "2017-08-02 00:00:00: outputs/gallagher657.png (17 moves, 124 miles)\n",
      "2017-08-03 00:00:00: outputs/gallagher658.png (6 moves, 81 miles)\n",
      "2017-08-04 00:00:00: outputs/gallagher659.png (1 moves, 21 miles)\n",
      "2017-08-05 00:00:00: outputs/gallagher660.png (1 moves, 185 miles)\n",
      "2017-08-06 00:00:00: outputs/gallagher661.png (0 moves, 0 miles)\n",
      "2017-08-07 00:00:00: outputs/gallagher662.png (1 moves, 26 miles)\n",
      "2017-08-08 00:00:00: outputs/gallagher663.png (2 moves, 59 miles)\n",
      "2017-08-09 00:00:00: outputs/gallagher664.png (9 moves, 454 miles)\n",
      "2017-08-10 00:00:00: outputs/gallagher665.png (7 moves, 118 miles)\n",
      "2017-08-11 00:00:00: outputs/gallagher666.png (6 moves, 51 miles)\n",
      "2017-08-12 00:00:00: outputs/gallagher667.png (10 moves, 48 miles)\n",
      "2017-08-13 00:00:00: outputs/gallagher668.png (0 moves, 0 miles)\n",
      "2017-08-14 00:00:00: outputs/gallagher669.png (1 moves, 21 miles)\n",
      "2017-08-15 00:00:00: outputs/gallagher670.png (0 moves, 0 miles)\n",
      "2017-08-16 00:00:00: outputs/gallagher671.png (1 moves, 238 miles)\n",
      "2017-08-17 00:00:00: outputs/gallagher672.png (1 moves, 65 miles)\n",
      "2017-08-18 00:00:00: outputs/gallagher673.png (0 moves, 0 miles)\n",
      "2017-08-19 00:00:00: outputs/gallagher674.png (0 moves, 0 miles)\n",
      "2017-08-20 00:00:00: outputs/gallagher675.png (0 moves, 0 miles)\n",
      "2017-08-21 00:00:00: outputs/gallagher676.png (0 moves, 0 miles)\n",
      "2017-08-22 00:00:00: outputs/gallagher677.png (0 moves, 0 miles)\n",
      "2017-08-23 00:00:00: outputs/gallagher678.png (0 moves, 0 miles)\n",
      "2017-08-24 00:00:00: outputs/gallagher679.png (0 moves, 0 miles)\n",
      "2017-08-25 00:00:00: outputs/gallagher680.png (0 moves, 0 miles)\n",
      "2017-08-26 00:00:00: outputs/gallagher681.png (0 moves, 0 miles)\n",
      "2017-08-27 00:00:00: outputs/gallagher682.png (0 moves, 0 miles)\n",
      "2017-08-28 00:00:00: outputs/gallagher683.png (0 moves, 0 miles)\n",
      "2017-08-29 00:00:00: outputs/gallagher684.png (0 moves, 0 miles)\n",
      "2017-08-30 00:00:00: outputs/gallagher685.png (0 moves, 0 miles)\n",
      "2017-08-31 00:00:00: outputs/gallagher686.png (0 moves, 0 miles)\n",
      "2017-09-01 00:00:00: outputs/gallagher687.png (0 moves, 0 miles)\n",
      "2017-09-02 00:00:00: outputs/gallagher688.png (0 moves, 0 miles)\n",
      "2017-09-03 00:00:00: outputs/gallagher689.png (0 moves, 0 miles)\n",
      "2017-09-04 00:00:00: outputs/gallagher690.png (0 moves, 0 miles)\n",
      "2017-09-05 00:00:00: outputs/gallagher691.png (0 moves, 0 miles)\n",
      "2017-09-06 00:00:00: outputs/gallagher692.png (0 moves, 0 miles)\n",
      "2017-09-07 00:00:00: outputs/gallagher693.png (0 moves, 0 miles)\n",
      "2017-09-08 00:00:00: outputs/gallagher694.png (0 moves, 0 miles)\n",
      "2017-09-09 00:00:00: outputs/gallagher695.png (0 moves, 0 miles)\n",
      "2017-09-10 00:00:00: outputs/gallagher696.png (0 moves, 0 miles)\n",
      "2017-09-11 00:00:00: outputs/gallagher697.png (0 moves, 0 miles)\n",
      "2017-09-12 00:00:00: outputs/gallagher698.png (0 moves, 0 miles)\n",
      "2017-09-13 00:00:00: outputs/gallagher699.png (0 moves, 0 miles)\n",
      "2017-09-14 00:00:00: outputs/gallagher700.png (0 moves, 0 miles)\n",
      "2017-09-15 00:00:00: outputs/gallagher701.png (0 moves, 0 miles)\n",
      "2017-09-16 00:00:00: outputs/gallagher702.png (0 moves, 0 miles)\n",
      "2017-09-17 00:00:00: outputs/gallagher703.png (0 moves, 0 miles)\n",
      "2017-09-18 00:00:00: outputs/gallagher704.png (0 moves, 0 miles)\n",
      "2017-09-19 00:00:00: outputs/gallagher705.png (0 moves, 0 miles)\n",
      "2017-09-20 00:00:00: outputs/gallagher706.png (0 moves, 0 miles)\n",
      "2017-09-21 00:00:00: outputs/gallagher707.png (0 moves, 0 miles)\n",
      "2017-09-22 00:00:00: outputs/gallagher708.png (0 moves, 0 miles)\n",
      "2017-09-23 00:00:00: outputs/gallagher709.png (0 moves, 0 miles)\n",
      "2017-09-24 00:00:00: outputs/gallagher710.png (0 moves, 0 miles)\n",
      "2017-09-25 00:00:00: outputs/gallagher711.png (0 moves, 0 miles)\n",
      "2017-09-26 00:00:00: outputs/gallagher712.png (0 moves, 0 miles)\n",
      "2017-09-27 00:00:00: outputs/gallagher713.png (0 moves, 0 miles)\n",
      "2017-09-28 00:00:00: outputs/gallagher714.png (0 moves, 0 miles)\n",
      "2017-09-29 00:00:00: outputs/gallagher715.png (0 moves, 0 miles)\n",
      "2017-09-30 00:00:00: outputs/gallagher716.png (0 moves, 0 miles)\n",
      "2017-10-01 00:00:00: outputs/gallagher717.png (0 moves, 0 miles)\n",
      "2017-10-02 00:00:00: outputs/gallagher718.png (0 moves, 0 miles)\n",
      "2017-10-03 00:00:00: outputs/gallagher719.png (0 moves, 0 miles)\n",
      "2017-10-04 00:00:00: outputs/gallagher720.png (0 moves, 0 miles)\n",
      "2017-10-05 00:00:00: outputs/gallagher721.png (0 moves, 0 miles)\n",
      "2017-10-06 00:00:00: outputs/gallagher722.png (0 moves, 0 miles)\n",
      "2017-10-07 00:00:00: outputs/gallagher723.png (0 moves, 0 miles)\n",
      "2017-10-08 00:00:00: outputs/gallagher724.png (0 moves, 0 miles)\n",
      "2017-10-09 00:00:00: outputs/gallagher725.png (0 moves, 0 miles)\n",
      "2017-10-10 00:00:00: outputs/gallagher726.png (0 moves, 0 miles)\n",
      "2017-10-11 00:00:00: outputs/gallagher727.png (0 moves, 0 miles)\n",
      "2017-10-12 00:00:00: outputs/gallagher728.png (0 moves, 0 miles)\n",
      "2017-10-13 00:00:00: outputs/gallagher729.png (0 moves, 0 miles)\n",
      "2017-10-14 00:00:00: outputs/gallagher730.png (0 moves, 0 miles)\n",
      "2017-10-15 00:00:00: outputs/gallagher731.png (0 moves, 0 miles)\n",
      "2017-10-16 00:00:00: outputs/gallagher732.png (0 moves, 0 miles)\n",
      "2017-10-17 00:00:00: outputs/gallagher733.png (0 moves, 0 miles)\n",
      "2017-10-18 00:00:00: outputs/gallagher734.png (0 moves, 0 miles)\n",
      "2017-10-19 00:00:00: outputs/gallagher735.png (0 moves, 0 miles)\n",
      "2017-10-20 00:00:00: outputs/gallagher736.png (0 moves, 0 miles)\n",
      "2017-10-21 00:00:00: outputs/gallagher737.png (0 moves, 0 miles)\n",
      "2017-10-22 00:00:00: outputs/gallagher738.png (0 moves, 0 miles)\n",
      "2017-10-23 00:00:00: outputs/gallagher739.png (0 moves, 0 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2017-10-24 00:00:00: outputs/gallagher740.png (0 moves, 0 miles)\n",
      "2017-10-25 00:00:00: outputs/gallagher741.png (0 moves, 0 miles)\n",
      "2017-10-26 00:00:00: outputs/gallagher742.png (0 moves, 0 miles)\n",
      "2017-10-27 00:00:00: outputs/gallagher743.png (0 moves, 0 miles)\n",
      "2017-10-28 00:00:00: outputs/gallagher744.png (0 moves, 0 miles)\n",
      "2017-10-29 00:00:00: outputs/gallagher745.png (0 moves, 0 miles)\n",
      "2017-10-30 00:00:00: outputs/gallagher746.png (0 moves, 0 miles)\n",
      "2017-10-31 00:00:00: outputs/gallagher747.png (0 moves, 0 miles)\n",
      "2017-11-01 00:00:00: outputs/gallagher748.png (0 moves, 0 miles)\n",
      "2017-11-02 00:00:00: outputs/gallagher749.png (2 moves, 79 miles)\n",
      "2017-11-03 00:00:00: outputs/gallagher750.png (0 moves, 0 miles)\n",
      "2017-11-04 00:00:00: outputs/gallagher751.png (26 moves, 351 miles)\n",
      "2017-11-05 00:00:00: outputs/gallagher752.png (18 moves, 206 miles)\n",
      "2017-11-06 00:00:00: outputs/gallagher753.png (16 moves, 68 miles)\n",
      "2017-11-07 00:00:00: outputs/gallagher754.png (18 moves, 181 miles)\n",
      "2017-11-08 00:00:00: outputs/gallagher755.png (18 moves, 331 miles)\n",
      "2017-11-09 00:00:00: outputs/gallagher756.png (12 moves, 173 miles)\n",
      "2017-11-10 00:00:00: outputs/gallagher757.png (24 moves, 212 miles)\n",
      "2017-11-11 00:00:00: outputs/gallagher758.png (22 moves, 78 miles)\n",
      "2017-11-12 00:00:00: outputs/gallagher759.png (20 moves, 62 miles)\n",
      "2017-11-13 00:00:00: outputs/gallagher760.png (26 moves, 167 miles)\n",
      "2017-11-14 00:00:00: outputs/gallagher761.png (36 moves, 125 miles)\n",
      "2017-11-15 00:00:00: outputs/gallagher762.png (20 moves, 49 miles)\n",
      "2017-11-16 00:00:00: outputs/gallagher763.png (30 moves, 101 miles)\n",
      "2017-11-17 00:00:00: outputs/gallagher764.png (32 moves, 122 miles)\n",
      "2017-11-18 00:00:00: outputs/gallagher765.png (32 moves, 54 miles)\n",
      "2017-11-19 00:00:00: outputs/gallagher766.png (20 moves, 111 miles)\n",
      "2017-11-20 00:00:00: outputs/gallagher767.png (26 moves, 146 miles)\n",
      "2017-11-21 00:00:00: outputs/gallagher768.png (18 moves, 116 miles)\n",
      "2017-11-22 00:00:00: outputs/gallagher769.png (26 moves, 188 miles)\n",
      "2017-11-23 00:00:00: outputs/gallagher770.png (22 moves, 132 miles)\n",
      "2017-11-24 00:00:00: outputs/gallagher771.png (14 moves, 101 miles)\n",
      "2017-11-25 00:00:00: outputs/gallagher772.png (30 moves, 100 miles)\n",
      "2017-11-26 00:00:00: outputs/gallagher773.png (26 moves, 157 miles)\n",
      "2017-11-27 00:00:00: outputs/gallagher774.png (24 moves, 147 miles)\n",
      "2017-11-28 00:00:00: outputs/gallagher775.png (10 moves, 141 miles)\n",
      "2017-11-29 00:00:00: outputs/gallagher776.png (28 moves, 227 miles)\n",
      "2017-11-30 00:00:00: outputs/gallagher777.png (16 moves, 119 miles)\n",
      "2017-12-01 00:00:00: outputs/gallagher778.png (32 moves, 238 miles)\n",
      "2017-12-02 00:00:00: outputs/gallagher779.png (15 moves, 127 miles)\n",
      "2017-12-03 00:00:00: outputs/gallagher780.png (18 moves, 221 miles)\n",
      "2017-12-04 00:00:00: outputs/gallagher781.png (28 moves, 237 miles)\n",
      "2017-12-05 00:00:00: outputs/gallagher782.png (7 moves, 79 miles)\n",
      "2017-12-06 00:00:00: outputs/gallagher783.png (6 moves, 143 miles)\n",
      "2017-12-07 00:00:00: outputs/gallagher784.png (8 moves, 82 miles)\n",
      "2017-12-08 00:00:00: outputs/gallagher785.png (4 moves, 212 miles)\n",
      "2017-12-09 00:00:00: outputs/gallagher786.png (8 moves, 284 miles)\n",
      "2017-12-10 00:00:00: outputs/gallagher787.png (4 moves, 54 miles)\n",
      "2017-12-11 00:00:00: outputs/gallagher788.png (10 moves, 323 miles)\n",
      "2017-12-12 00:00:00: outputs/gallagher789.png (1 moves, 15 miles)\n",
      "2017-12-13 00:00:00: outputs/gallagher790.png (8 moves, 178 miles)\n",
      "2017-12-14 00:00:00: outputs/gallagher791.png (5 moves, 131 miles)\n",
      "2017-12-15 00:00:00: outputs/gallagher792.png (8 moves, 387 miles)\n",
      "2017-12-16 00:00:00: outputs/gallagher793.png (5 moves, 214 miles)\n",
      "2017-12-17 00:00:00: outputs/gallagher794.png (7 moves, 330 miles)\n",
      "2017-12-18 00:00:00: outputs/gallagher795.png (8 moves, 109 miles)\n",
      "2017-12-19 00:00:00: outputs/gallagher796.png (7 moves, 236 miles)\n",
      "2017-12-20 00:00:00: outputs/gallagher797.png (3 moves, 191 miles)\n",
      "2017-12-21 00:00:00: outputs/gallagher798.png (3 moves, 219 miles)\n",
      "2017-12-22 00:00:00: outputs/gallagher799.png (8 moves, 307 miles)\n",
      "2017-12-23 00:00:00: outputs/gallagher800.png (2 moves, 141 miles)\n",
      "2017-12-24 00:00:00: outputs/gallagher801.png (3 moves, 232 miles)\n",
      "2017-12-25 00:00:00: outputs/gallagher802.png (8 moves, 204 miles)\n",
      "2017-12-26 00:00:00: outputs/gallagher803.png (11 moves, 271 miles)\n",
      "2017-12-27 00:00:00: outputs/gallagher804.png (7 moves, 117 miles)\n",
      "2017-12-28 00:00:00: outputs/gallagher805.png (9 moves, 303 miles)\n",
      "2017-12-29 00:00:00: outputs/gallagher806.png (4 moves, 130 miles)\n",
      "2017-12-30 00:00:00: outputs/gallagher807.png (7 moves, 54 miles)\n",
      "2018-01-01 00:00:00: outputs/gallagher808.png (16 moves, 428 miles)\n",
      "2018-01-02 00:00:00: outputs/gallagher809.png (5 moves, 66 miles)\n",
      "2018-01-03 00:00:00: outputs/gallagher810.png (8 moves, 194 miles)\n",
      "2018-01-04 00:00:00: outputs/gallagher811.png (1 moves, 20 miles)\n",
      "2018-01-05 00:00:00: outputs/gallagher812.png (7 moves, 149 miles)\n",
      "2018-01-06 00:00:00: outputs/gallagher813.png (4 moves, 96 miles)\n",
      "2018-01-07 00:00:00: outputs/gallagher814.png (5 moves, 66 miles)\n",
      "2018-01-08 00:00:00: outputs/gallagher815.png (9 moves, 205 miles)\n",
      "2018-01-09 00:00:00: outputs/gallagher816.png (3 moves, 39 miles)\n",
      "2018-01-10 00:00:00: outputs/gallagher817.png (3 moves, 195 miles)\n",
      "2018-01-11 00:00:00: outputs/gallagher818.png (3 moves, 98 miles)\n",
      "2018-01-12 00:00:00: outputs/gallagher819.png (6 moves, 184 miles)\n",
      "2018-01-13 00:00:00: outputs/gallagher820.png (4 moves, 119 miles)\n",
      "2018-01-14 00:00:00: outputs/gallagher821.png (5 moves, 95 miles)\n",
      "2018-01-15 00:00:00: outputs/gallagher822.png (13 moves, 243 miles)\n",
      "2018-01-16 00:00:00: outputs/gallagher823.png (4 moves, 157 miles)\n",
      "2018-01-17 00:00:00: outputs/gallagher824.png (4 moves, 75 miles)\n",
      "2018-01-18 00:00:00: outputs/gallagher825.png (10 moves, 195 miles)\n",
      "2018-01-19 00:00:00: outputs/gallagher826.png (6 moves, 312 miles)\n",
      "2018-01-20 00:00:00: outputs/gallagher827.png (3 moves, 140 miles)\n",
      "2018-01-21 00:00:00: outputs/gallagher828.png (2 moves, 153 miles)\n",
      "2018-01-22 00:00:00: outputs/gallagher829.png (3 moves, 25 miles)\n",
      "2018-01-23 00:00:00: outputs/gallagher830.png (2 moves, 158 miles)\n",
      "2018-01-24 00:00:00: outputs/gallagher831.png (2 moves, 46 miles)\n",
      "2018-01-25 00:00:00: outputs/gallagher832.png (2 moves, 41 miles)\n",
      "2018-01-26 00:00:00: outputs/gallagher833.png (2 moves, 102 miles)\n",
      "2018-01-27 00:00:00: outputs/gallagher834.png (4 moves, 77 miles)\n",
      "2018-01-28 00:00:00: outputs/gallagher835.png (2 moves, 162 miles)\n",
      "2018-01-29 00:00:00: outputs/gallagher836.png (2 moves, 143 miles)\n",
      "2018-01-30 00:00:00: outputs/gallagher837.png (3 moves, 62 miles)\n",
      "2018-01-31 00:00:00: outputs/gallagher838.png (2 moves, 117 miles)\n",
      "2018-02-01 00:00:00: outputs/gallagher839.png (2 moves, 590 miles)\n",
      "2018-02-02 00:00:00: outputs/gallagher840.png (3 moves, 144 miles)\n",
      "2018-02-03 00:00:00: outputs/gallagher841.png (2 moves, 259 miles)\n",
      "2018-02-04 00:00:00: outputs/gallagher842.png (2 moves, 80 miles)\n",
      "2018-02-05 00:00:00: outputs/gallagher843.png (2 moves, 121 miles)\n",
      "2018-02-06 00:00:00: outputs/gallagher844.png (3 moves, 53 miles)\n",
      "2018-02-07 00:00:00: outputs/gallagher845.png (2 moves, 200 miles)\n",
      "2018-02-08 00:00:00: outputs/gallagher846.png (14 moves, 288 miles)\n",
      "2018-02-09 00:00:00: outputs/gallagher847.png (8 moves, 198 miles)\n",
      "2018-02-10 00:00:00: outputs/gallagher848.png (1 moves, 39 miles)\n",
      "2018-02-11 00:00:00: outputs/gallagher849.png (4 moves, 217 miles)\n",
      "2018-02-12 00:00:00: outputs/gallagher850.png (5 moves, 85 miles)\n",
      "2018-02-13 00:00:00: outputs/gallagher851.png (3 moves, 79 miles)\n",
      "2018-02-14 00:00:00: outputs/gallagher852.png (4 moves, 168 miles)\n",
      "2018-02-15 00:00:00: outputs/gallagher853.png (1 moves, 104 miles)\n",
      "2018-02-16 00:00:00: outputs/gallagher854.png (3 moves, 185 miles)\n",
      "2018-02-17 00:00:00: outputs/gallagher855.png (4 moves, 165 miles)\n",
      "2018-02-18 00:00:00: outputs/gallagher856.png (4 moves, 41 miles)\n",
      "2018-02-19 00:00:00: outputs/gallagher857.png (0 moves, 0 miles)\n",
      "2018-02-20 00:00:00: outputs/gallagher858.png (4 moves, 123 miles)\n",
      "2018-02-21 00:00:00: outputs/gallagher859.png (2 moves, 110 miles)\n",
      "2018-02-22 00:00:00: outputs/gallagher860.png (2 moves, 382 miles)\n",
      "2018-02-23 00:00:00: outputs/gallagher861.png (1 moves, 31 miles)\n",
      "2018-02-24 00:00:00: outputs/gallagher862.png (0 moves, 0 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-02-25 00:00:00: outputs/gallagher863.png (2 moves, 120 miles)\n",
      "2018-02-26 00:00:00: outputs/gallagher864.png (1 moves, 58 miles)\n",
      "2018-02-27 00:00:00: outputs/gallagher865.png (6 moves, 422 miles)\n",
      "2018-02-28 00:00:00: outputs/gallagher866.png (1 moves, 36 miles)\n",
      "2018-03-01 00:00:00: outputs/gallagher867.png (0 moves, 0 miles)\n",
      "2018-03-02 00:00:00: outputs/gallagher868.png (1 moves, 122 miles)\n",
      "2018-03-03 00:00:00: outputs/gallagher869.png (2 moves, 62 miles)\n",
      "2018-03-04 00:00:00: outputs/gallagher870.png (6 moves, 679 miles)\n",
      "2018-03-05 00:00:00: outputs/gallagher871.png (1 moves, 14 miles)\n",
      "2018-03-06 00:00:00: outputs/gallagher872.png (1 moves, 110 miles)\n",
      "2018-03-07 00:00:00: outputs/gallagher873.png (1 moves, 21 miles)\n",
      "2018-03-08 00:00:00: outputs/gallagher874.png (3 moves, 144 miles)\n",
      "2018-03-09 00:00:00: outputs/gallagher875.png (8 moves, 271 miles)\n",
      "2018-03-10 00:00:00: outputs/gallagher876.png (2 moves, 41 miles)\n",
      "2018-03-11 00:00:00: outputs/gallagher877.png (1 moves, 6 miles)\n",
      "2018-03-12 00:00:00: outputs/gallagher878.png (10 moves, 128 miles)\n",
      "2018-03-13 00:00:00: outputs/gallagher879.png (0 moves, 0 miles)\n",
      "2018-03-14 00:00:00: outputs/gallagher880.png (1 moves, 40 miles)\n",
      "2018-03-15 00:00:00: outputs/gallagher881.png (0 moves, 0 miles)\n",
      "2018-03-16 00:00:00: outputs/gallagher882.png (3 moves, 269 miles)\n",
      "2018-03-17 00:00:00: outputs/gallagher883.png (2 moves, 35 miles)\n",
      "2018-03-18 00:00:00: outputs/gallagher884.png (4 moves, 176 miles)\n",
      "2018-03-19 00:00:00: outputs/gallagher885.png (0 moves, 0 miles)\n",
      "2018-03-20 00:00:00: outputs/gallagher886.png (1 moves, 44 miles)\n",
      "2018-03-21 00:00:00: outputs/gallagher887.png (4 moves, 111 miles)\n",
      "2018-03-22 00:00:00: outputs/gallagher888.png (5 moves, 262 miles)\n",
      "2018-03-23 00:00:00: outputs/gallagher889.png (8 moves, 42 miles)\n",
      "2018-03-24 00:00:00: outputs/gallagher890.png (3 moves, 121 miles)\n",
      "2018-03-25 00:00:00: outputs/gallagher891.png (5 moves, 116 miles)\n",
      "2018-03-26 00:00:00: outputs/gallagher892.png (1 moves, 95 miles)\n",
      "2018-03-27 00:00:00: outputs/gallagher893.png (0 moves, 0 miles)\n",
      "2018-03-28 00:00:00: outputs/gallagher894.png (1 moves, 77 miles)\n",
      "2018-03-29 00:00:00: outputs/gallagher895.png (1 moves, 28 miles)\n",
      "2018-03-30 00:00:00: outputs/gallagher896.png (1 moves, 290 miles)\n",
      "2018-03-31 00:00:00: outputs/gallagher897.png (1 moves, 176 miles)\n",
      "2018-04-01 00:00:00: outputs/gallagher898.png (0 moves, 0 miles)\n",
      "2018-04-02 00:00:00: outputs/gallagher899.png (0 moves, 0 miles)\n",
      "2018-04-03 00:00:00: outputs/gallagher900.png (0 moves, 0 miles)\n",
      "2018-04-04 00:00:00: outputs/gallagher901.png (5 moves, 326 miles)\n",
      "2018-04-05 00:00:00: outputs/gallagher902.png (3 moves, 54 miles)\n",
      "2018-04-06 00:00:00: outputs/gallagher903.png (1 moves, 56 miles)\n",
      "2018-04-07 00:00:00: outputs/gallagher904.png (2 moves, 31 miles)\n",
      "2018-04-08 00:00:00: outputs/gallagher905.png (3 moves, 130 miles)\n",
      "2018-04-09 00:00:00: outputs/gallagher906.png (4 moves, 209 miles)\n",
      "2018-04-10 00:00:00: outputs/gallagher907.png (0 moves, 0 miles)\n",
      "2018-04-11 00:00:00: outputs/gallagher908.png (3 moves, 68 miles)\n",
      "2018-04-12 00:00:00: outputs/gallagher909.png (7 moves, 61 miles)\n",
      "2018-04-13 00:00:00: outputs/gallagher910.png (6 moves, 92 miles)\n",
      "2018-04-14 00:00:00: outputs/gallagher911.png (4 moves, 67 miles)\n",
      "2018-04-15 00:00:00: outputs/gallagher912.png (2 moves, 95 miles)\n",
      "2018-04-16 00:00:00: outputs/gallagher913.png (2 moves, 85 miles)\n",
      "2018-04-17 00:00:00: outputs/gallagher914.png (0 moves, 0 miles)\n",
      "2018-04-18 00:00:00: outputs/gallagher915.png (1 moves, 77 miles)\n",
      "2018-04-19 00:00:00: outputs/gallagher916.png (3 moves, 64 miles)\n",
      "2018-04-20 00:00:00: outputs/gallagher917.png (0 moves, 0 miles)\n",
      "2018-04-21 00:00:00: outputs/gallagher918.png (3 moves, 131 miles)\n",
      "2018-04-22 00:00:00: outputs/gallagher919.png (2 moves, 35 miles)\n",
      "2018-04-23 00:00:00: outputs/gallagher920.png (0 moves, 0 miles)\n",
      "2018-04-24 00:00:00: outputs/gallagher921.png (1 moves, 1087 miles)\n",
      "2018-04-25 00:00:00: outputs/gallagher922.png (0 moves, 0 miles)\n",
      "2018-04-26 00:00:00: outputs/gallagher923.png (0 moves, 0 miles)\n",
      "2018-04-27 00:00:00: outputs/gallagher924.png (0 moves, 0 miles)\n",
      "2018-04-28 00:00:00: outputs/gallagher925.png (2 moves, 1234 miles)\n",
      "2018-04-29 00:00:00: outputs/gallagher926.png (0 moves, 0 miles)\n",
      "2018-04-30 00:00:00: outputs/gallagher927.png (0 moves, 0 miles)\n",
      "2018-05-01 00:00:00: outputs/gallagher928.png (0 moves, 0 miles)\n",
      "2018-05-02 00:00:00: outputs/gallagher929.png (0 moves, 0 miles)\n",
      "2018-05-03 00:00:00: outputs/gallagher930.png (0 moves, 0 miles)\n",
      "2018-05-04 00:00:00: outputs/gallagher931.png (0 moves, 0 miles)\n",
      "2018-05-05 00:00:00: outputs/gallagher932.png (0 moves, 0 miles)\n",
      "2018-05-06 00:00:00: outputs/gallagher933.png (0 moves, 0 miles)\n",
      "2018-05-07 00:00:00: outputs/gallagher934.png (0 moves, 0 miles)\n",
      "2018-05-08 00:00:00: outputs/gallagher935.png (0 moves, 0 miles)\n",
      "2018-05-09 00:00:00: outputs/gallagher936.png (0 moves, 0 miles)\n",
      "2018-05-10 00:00:00: outputs/gallagher937.png (0 moves, 0 miles)\n",
      "2018-05-11 00:00:00: outputs/gallagher938.png (0 moves, 0 miles)\n",
      "2018-05-12 00:00:00: outputs/gallagher939.png (0 moves, 0 miles)\n",
      "2018-05-13 00:00:00: outputs/gallagher940.png (0 moves, 0 miles)\n",
      "2018-05-14 00:00:00: outputs/gallagher941.png (0 moves, 0 miles)\n",
      "2018-05-15 00:00:00: outputs/gallagher942.png (0 moves, 0 miles)\n",
      "2018-05-16 00:00:00: outputs/gallagher943.png (0 moves, 0 miles)\n",
      "2018-05-17 00:00:00: outputs/gallagher944.png (0 moves, 0 miles)\n",
      "2018-05-18 00:00:00: outputs/gallagher945.png (0 moves, 0 miles)\n",
      "2018-05-19 00:00:00: outputs/gallagher946.png (0 moves, 0 miles)\n",
      "2018-05-20 00:00:00: outputs/gallagher947.png (0 moves, 0 miles)\n",
      "2018-05-21 00:00:00: outputs/gallagher948.png (0 moves, 0 miles)\n",
      "2018-05-22 00:00:00: outputs/gallagher949.png (0 moves, 0 miles)\n",
      "2018-05-23 00:00:00: outputs/gallagher950.png (0 moves, 0 miles)\n",
      "2018-05-24 00:00:00: outputs/gallagher951.png (0 moves, 0 miles)\n",
      "2018-05-25 00:00:00: outputs/gallagher952.png (0 moves, 0 miles)\n",
      "2018-05-26 00:00:00: outputs/gallagher953.png (0 moves, 0 miles)\n",
      "2018-05-27 00:00:00: outputs/gallagher954.png (0 moves, 0 miles)\n",
      "2018-05-28 00:00:00: outputs/gallagher955.png (0 moves, 0 miles)\n",
      "2018-05-29 00:00:00: outputs/gallagher956.png (0 moves, 0 miles)\n",
      "2018-05-30 00:00:00: outputs/gallagher957.png (0 moves, 0 miles)\n",
      "2018-05-31 00:00:00: outputs/gallagher958.png (0 moves, 0 miles)\n",
      "2018-06-01 00:00:00: outputs/gallagher959.png (0 moves, 0 miles)\n",
      "2018-06-02 00:00:00: outputs/gallagher960.png (0 moves, 0 miles)\n",
      "2018-06-03 00:00:00: outputs/gallagher961.png (0 moves, 0 miles)\n",
      "2018-06-04 00:00:00: outputs/gallagher962.png (0 moves, 0 miles)\n",
      "2018-06-05 00:00:00: outputs/gallagher963.png (0 moves, 0 miles)\n",
      "2018-06-06 00:00:00: outputs/gallagher964.png (0 moves, 0 miles)\n",
      "2018-06-07 00:00:00: outputs/gallagher965.png (0 moves, 0 miles)\n",
      "2018-06-08 00:00:00: outputs/gallagher966.png (0 moves, 0 miles)\n",
      "2018-06-09 00:00:00: outputs/gallagher967.png (0 moves, 0 miles)\n",
      "2018-06-10 00:00:00: outputs/gallagher968.png (0 moves, 0 miles)\n",
      "2018-06-11 00:00:00: outputs/gallagher969.png (0 moves, 0 miles)\n",
      "2018-06-12 00:00:00: outputs/gallagher970.png (0 moves, 0 miles)\n",
      "2018-06-13 00:00:00: outputs/gallagher971.png (0 moves, 0 miles)\n",
      "2018-06-14 00:00:00: outputs/gallagher972.png (0 moves, 0 miles)\n",
      "2018-06-15 00:00:00: outputs/gallagher973.png (0 moves, 0 miles)\n",
      "2018-06-16 00:00:00: outputs/gallagher974.png (0 moves, 0 miles)\n",
      "2018-06-17 00:00:00: outputs/gallagher975.png (0 moves, 0 miles)\n",
      "2018-06-18 00:00:00: outputs/gallagher976.png (0 moves, 0 miles)\n",
      "2018-06-19 00:00:00: outputs/gallagher977.png (0 moves, 0 miles)\n",
      "2018-06-20 00:00:00: outputs/gallagher978.png (0 moves, 0 miles)\n",
      "2018-06-21 00:00:00: outputs/gallagher979.png (0 moves, 0 miles)\n",
      "2018-06-22 00:00:00: outputs/gallagher980.png (0 moves, 0 miles)\n",
      "2018-06-23 00:00:00: outputs/gallagher981.png (0 moves, 0 miles)\n",
      "2018-06-24 00:00:00: outputs/gallagher982.png (0 moves, 0 miles)\n",
      "2018-06-25 00:00:00: outputs/gallagher983.png (0 moves, 0 miles)\n",
      "2018-06-26 00:00:00: outputs/gallagher984.png (0 moves, 0 miles)\n",
      "2018-06-27 00:00:00: outputs/gallagher985.png (0 moves, 0 miles)\n",
      "2018-06-28 00:00:00: outputs/gallagher986.png (0 moves, 0 miles)\n",
      "2018-06-29 00:00:00: outputs/gallagher987.png (0 moves, 0 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-06-30 00:00:00: outputs/gallagher988.png (0 moves, 0 miles)\n",
      "2018-07-01 00:00:00: outputs/gallagher989.png (0 moves, 0 miles)\n",
      "2018-07-02 00:00:00: outputs/gallagher990.png (0 moves, 0 miles)\n",
      "2018-07-03 00:00:00: outputs/gallagher991.png (0 moves, 0 miles)\n",
      "2018-07-04 00:00:00: outputs/gallagher992.png (0 moves, 0 miles)\n",
      "2018-07-05 00:00:00: outputs/gallagher993.png (0 moves, 0 miles)\n",
      "2018-07-06 00:00:00: outputs/gallagher994.png (0 moves, 0 miles)\n",
      "2018-07-07 00:00:00: outputs/gallagher995.png (0 moves, 0 miles)\n",
      "2018-07-08 00:00:00: outputs/gallagher996.png (0 moves, 0 miles)\n",
      "2018-07-09 00:00:00: outputs/gallagher997.png (0 moves, 0 miles)\n",
      "2018-07-10 00:00:00: outputs/gallagher998.png (0 moves, 0 miles)\n",
      "2018-07-11 00:00:00: outputs/gallagher999.png (0 moves, 0 miles)\n",
      "2018-07-12 00:00:00: outputs/gallagher1000.png (0 moves, 0 miles)\n",
      "2018-07-13 00:00:00: outputs/gallagher1001.png (0 moves, 0 miles)\n",
      "2018-07-14 00:00:00: outputs/gallagher1002.png (0 moves, 0 miles)\n",
      "2018-07-15 00:00:00: outputs/gallagher1003.png (0 moves, 0 miles)\n",
      "2018-07-16 00:00:00: outputs/gallagher1004.png (0 moves, 0 miles)\n",
      "2018-07-17 00:00:00: outputs/gallagher1005.png (0 moves, 0 miles)\n",
      "2018-07-18 00:00:00: outputs/gallagher1006.png (0 moves, 0 miles)\n",
      "2018-07-19 00:00:00: outputs/gallagher1007.png (0 moves, 0 miles)\n",
      "2018-07-20 00:00:00: outputs/gallagher1008.png (0 moves, 0 miles)\n",
      "2018-07-21 00:00:00: outputs/gallagher1009.png (0 moves, 0 miles)\n",
      "2018-07-22 00:00:00: outputs/gallagher1010.png (0 moves, 0 miles)\n",
      "2018-07-23 00:00:00: outputs/gallagher1011.png (0 moves, 0 miles)\n",
      "2018-07-24 00:00:00: outputs/gallagher1012.png (0 moves, 0 miles)\n",
      "2018-07-25 00:00:00: outputs/gallagher1013.png (8 moves, 1385 miles)\n",
      "2018-07-26 00:00:00: outputs/gallagher1014.png (1 moves, 0 miles)\n",
      "2018-07-27 00:00:00: outputs/gallagher1015.png (2 moves, 86 miles)\n",
      "2018-07-28 00:00:00: outputs/gallagher1016.png (0 moves, 0 miles)\n",
      "2018-07-29 00:00:00: outputs/gallagher1017.png (2 moves, 22 miles)\n",
      "2018-07-30 00:00:00: outputs/gallagher1018.png (0 moves, 0 miles)\n",
      "2018-07-31 00:00:00: outputs/gallagher1019.png (0 moves, 0 miles)\n",
      "2018-08-01 00:00:00: outputs/gallagher1020.png (0 moves, 0 miles)\n",
      "2018-08-02 00:00:00: outputs/gallagher1021.png (9 moves, 51 miles)\n",
      "2018-08-03 00:00:00: outputs/gallagher1022.png (2 moves, 19 miles)\n",
      "2018-08-04 00:00:00: outputs/gallagher1023.png (2 moves, 8 miles)\n",
      "2018-08-05 00:00:00: outputs/gallagher1024.png (8 moves, 55 miles)\n",
      "2018-08-06 00:00:00: outputs/gallagher1025.png (2 moves, 7 miles)\n",
      "2018-08-07 00:00:00: outputs/gallagher1026.png (1 moves, 51 miles)\n",
      "2018-08-08 00:00:00: outputs/gallagher1027.png (5 moves, 85 miles)\n",
      "2018-08-09 00:00:00: outputs/gallagher1028.png (6 moves, 24 miles)\n",
      "2018-08-10 00:00:00: outputs/gallagher1029.png (2 moves, 29 miles)\n",
      "2018-08-11 00:00:00: outputs/gallagher1030.png (2 moves, 17 miles)\n",
      "2018-08-12 00:00:00: outputs/gallagher1031.png (2 moves, 467 miles)\n",
      "2018-08-13 00:00:00: outputs/gallagher1032.png (4 moves, 13 miles)\n",
      "2018-08-14 00:00:00: outputs/gallagher1033.png (6 moves, 38 miles)\n",
      "2018-08-15 00:00:00: outputs/gallagher1034.png (3 moves, 6 miles)\n",
      "2018-08-16 00:00:00: outputs/gallagher1035.png (3 moves, 21 miles)\n",
      "2018-08-17 00:00:00: outputs/gallagher1036.png (4 moves, 17 miles)\n",
      "2018-08-18 00:00:00: outputs/gallagher1037.png (7 moves, 39 miles)\n",
      "2018-08-19 00:00:00: outputs/gallagher1038.png (2 moves, 37 miles)\n",
      "2018-08-20 00:00:00: outputs/gallagher1039.png (2 moves, 28 miles)\n",
      "2018-08-21 00:00:00: outputs/gallagher1040.png (2 moves, 52 miles)\n",
      "2018-08-22 00:00:00: outputs/gallagher1041.png (3 moves, 44 miles)\n",
      "2018-08-23 00:00:00: outputs/gallagher1042.png (2 moves, 41 miles)\n",
      "2018-08-24 00:00:00: outputs/gallagher1043.png (4 moves, 110 miles)\n",
      "2018-08-25 00:00:00: outputs/gallagher1044.png (13 moves, 184 miles)\n",
      "2018-08-26 00:00:00: outputs/gallagher1045.png (5 moves, 63 miles)\n",
      "2018-08-27 00:00:00: outputs/gallagher1046.png (5 moves, 41 miles)\n",
      "2018-08-28 00:00:00: outputs/gallagher1047.png (5 moves, 73 miles)\n",
      "2018-08-29 00:00:00: outputs/gallagher1048.png (9 moves, 95 miles)\n",
      "2018-08-30 00:00:00: outputs/gallagher1049.png (7 moves, 34 miles)\n",
      "2018-08-31 00:00:00: outputs/gallagher1050.png (6 moves, 40 miles)\n",
      "2018-09-01 00:00:00: outputs/gallagher1051.png (5 moves, 27 miles)\n",
      "2018-09-02 00:00:00: outputs/gallagher1052.png (5 moves, 57 miles)\n",
      "2018-09-03 00:00:00: outputs/gallagher1053.png (3 moves, 30 miles)\n",
      "2018-09-04 00:00:00: outputs/gallagher1054.png (2 moves, 9 miles)\n",
      "2018-09-05 00:00:00: outputs/gallagher1055.png (10 moves, 85 miles)\n",
      "2018-09-06 00:00:00: outputs/gallagher1056.png (4 moves, 120 miles)\n",
      "2018-09-07 00:00:00: outputs/gallagher1057.png (4 moves, 78 miles)\n",
      "2018-09-08 00:00:00: outputs/gallagher1058.png (1 moves, 4 miles)\n",
      "2018-09-09 00:00:00: outputs/gallagher1059.png (4 moves, 68 miles)\n",
      "2018-09-10 00:00:00: outputs/gallagher1060.png (4 moves, 106 miles)\n",
      "2018-09-11 00:00:00: outputs/gallagher1061.png (1 moves, 41 miles)\n",
      "2018-09-12 00:00:00: outputs/gallagher1062.png (1 moves, 38 miles)\n",
      "2018-09-13 00:00:00: outputs/gallagher1063.png (1 moves, 17 miles)\n",
      "2018-09-14 00:00:00: outputs/gallagher1064.png (1 moves, 27 miles)\n",
      "2018-09-15 00:00:00: outputs/gallagher1065.png (2 moves, 35 miles)\n",
      "2018-09-16 00:00:00: outputs/gallagher1066.png (1 moves, 24 miles)\n",
      "2018-09-17 00:00:00: outputs/gallagher1067.png (1 moves, 55 miles)\n",
      "2018-09-18 00:00:00: outputs/gallagher1068.png (1 moves, 14 miles)\n",
      "2018-09-19 00:00:00: outputs/gallagher1069.png (1 moves, 25 miles)\n",
      "2018-09-20 00:00:00: outputs/gallagher1070.png (5 moves, 111 miles)\n",
      "2018-09-21 00:00:00: outputs/gallagher1071.png (1 moves, 28 miles)\n",
      "2018-09-22 00:00:00: outputs/gallagher1072.png (3 moves, 32 miles)\n",
      "2018-09-23 00:00:00: outputs/gallagher1073.png (6 moves, 16 miles)\n",
      "2018-09-24 00:00:00: outputs/gallagher1074.png (6 moves, 129 miles)\n",
      "2018-09-25 00:00:00: outputs/gallagher1075.png (1 moves, 49 miles)\n",
      "2018-09-26 00:00:00: outputs/gallagher1076.png (1 moves, 176 miles)\n",
      "2018-09-27 00:00:00: outputs/gallagher1077.png (3 moves, 24 miles)\n",
      "2018-09-28 00:00:00: outputs/gallagher1078.png (3 moves, 17 miles)\n",
      "2018-09-29 00:00:00: outputs/gallagher1079.png (4 moves, 19 miles)\n",
      "2018-09-30 00:00:00: outputs/gallagher1080.png (2 moves, 47 miles)\n",
      "2018-10-01 00:00:00: outputs/gallagher1081.png (3 moves, 36 miles)\n",
      "2018-10-02 00:00:00: outputs/gallagher1082.png (4 moves, 118 miles)\n",
      "2018-10-03 00:00:00: outputs/gallagher1083.png (3 moves, 30 miles)\n",
      "2018-10-04 00:00:00: outputs/gallagher1084.png (4 moves, 19 miles)\n",
      "2018-10-05 00:00:00: outputs/gallagher1085.png (1 moves, 10 miles)\n",
      "2018-10-06 00:00:00: outputs/gallagher1086.png (1 moves, 6 miles)\n",
      "2018-10-07 00:00:00: outputs/gallagher1087.png (1 moves, 17 miles)\n",
      "2018-10-08 00:00:00: outputs/gallagher1088.png (0 moves, 0 miles)\n",
      "2018-10-09 00:00:00: outputs/gallagher1089.png (2 moves, 16 miles)\n",
      "2018-10-10 00:00:00: outputs/gallagher1090.png (1 moves, 11 miles)\n",
      "2018-10-11 00:00:00: outputs/gallagher1091.png (3 moves, 86 miles)\n",
      "2018-10-12 00:00:00: outputs/gallagher1092.png (0 moves, 0 miles)\n",
      "2018-10-13 00:00:00: outputs/gallagher1093.png (2 moves, 15 miles)\n",
      "2018-10-14 00:00:00: outputs/gallagher1094.png (2 moves, 31 miles)\n",
      "2018-10-15 00:00:00: outputs/gallagher1095.png (1 moves, 15 miles)\n",
      "2018-10-16 00:00:00: outputs/gallagher1096.png (2 moves, 5 miles)\n",
      "2018-10-17 00:00:00: outputs/gallagher1097.png (2 moves, 16 miles)\n",
      "2018-10-18 00:00:00: outputs/gallagher1098.png (1 moves, 13 miles)\n",
      "2018-10-19 00:00:00: outputs/gallagher1099.png (2 moves, 35 miles)\n",
      "2018-10-20 00:00:00: outputs/gallagher1100.png (0 moves, 0 miles)\n",
      "2018-10-21 00:00:00: outputs/gallagher1101.png (3 moves, 54 miles)\n",
      "2018-10-22 00:00:00: outputs/gallagher1102.png (0 moves, 0 miles)\n",
      "2018-10-23 00:00:00: outputs/gallagher1103.png (2 moves, 28 miles)\n",
      "2018-10-24 00:00:00: outputs/gallagher1104.png (1 moves, 21 miles)\n",
      "2018-10-25 00:00:00: outputs/gallagher1105.png (1 moves, 29 miles)\n",
      "2018-10-26 00:00:00: outputs/gallagher1106.png (0 moves, 0 miles)\n",
      "2018-10-27 00:00:00: outputs/gallagher1107.png (0 moves, 0 miles)\n",
      "2018-10-28 00:00:00: outputs/gallagher1108.png (1 moves, 15 miles)\n",
      "2018-10-29 00:00:00: outputs/gallagher1109.png (2 moves, 48 miles)\n",
      "2018-10-30 00:00:00: outputs/gallagher1110.png (1 moves, 4 miles)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-10-31 00:00:00: outputs/gallagher1111.png (4 moves, 58 miles)\n",
      "2018-11-01 00:00:00: outputs/gallagher1112.png (2 moves, 15 miles)\n",
      "2018-11-02 00:00:00: outputs/gallagher1113.png (1 moves, 51 miles)\n",
      "2018-11-03 00:00:00: outputs/gallagher1114.png (0 moves, 0 miles)\n",
      "2018-11-04 00:00:00: outputs/gallagher1115.png (2 moves, 69 miles)\n",
      "2018-11-05 00:00:00: outputs/gallagher1116.png (0 moves, 0 miles)\n",
      "2018-11-06 00:00:00: outputs/gallagher1117.png (6 moves, 66 miles)\n",
      "2018-11-07 00:00:00: outputs/gallagher1118.png (2 moves, 108 miles)\n",
      "2018-11-08 00:00:00: outputs/gallagher1119.png (0 moves, 0 miles)\n",
      "2018-11-09 00:00:00: outputs/gallagher1120.png (0 moves, 0 miles)\n",
      "2018-11-10 00:00:00: outputs/gallagher1121.png (0 moves, 0 miles)\n",
      "2018-11-11 00:00:00: outputs/gallagher1122.png (4 moves, 45 miles)\n",
      "2018-11-12 00:00:00: outputs/gallagher1123.png (1 moves, 1 miles)\n",
      "2018-11-13 00:00:00: outputs/gallagher1124.png (1 moves, 30 miles)\n",
      "2018-11-14 00:00:00: outputs/gallagher1125.png (2 moves, 5 miles)\n",
      "2018-11-15 00:00:00: outputs/gallagher1126.png (4 moves, 37 miles)\n",
      "2018-11-16 00:00:00: outputs/gallagher1127.png (3 moves, 64 miles)\n",
      "2018-11-17 00:00:00: outputs/gallagher1128.png (0 moves, 0 miles)\n",
      "2018-11-18 00:00:00: outputs/gallagher1129.png (4 moves, 16 miles)\n",
      "2018-11-19 00:00:00: outputs/gallagher1130.png (2 moves, 78 miles)\n",
      "2018-11-20 00:00:00: outputs/gallagher1131.png (0 moves, 0 miles)\n",
      "2018-11-21 00:00:00: outputs/gallagher1132.png (0 moves, 0 miles)\n",
      "2018-11-22 00:00:00: outputs/gallagher1133.png (4 moves, 17 miles)\n",
      "2018-11-23 00:00:00: outputs/gallagher1134.png (1 moves, 121 miles)\n",
      "2018-11-24 00:00:00: outputs/gallagher1135.png (0 moves, 0 miles)\n",
      "2018-11-25 00:00:00: outputs/gallagher1136.png (0 moves, 0 miles)\n",
      "2018-11-26 00:00:00: outputs/gallagher1137.png (0 moves, 0 miles)\n",
      "2018-11-27 00:00:00: outputs/gallagher1138.png (2 moves, 11 miles)\n",
      "2018-11-28 00:00:00: outputs/gallagher1139.png (1 moves, 359 miles)\n",
      "2018-11-29 00:00:00: outputs/gallagher1140.png (0 moves, 0 miles)\n",
      "2018-11-30 00:00:00: outputs/gallagher1141.png (0 moves, 0 miles)\n",
      "2018-12-01 00:00:00: outputs/gallagher1142.png (3 moves, 227 miles)\n",
      "2018-12-02 00:00:00: outputs/gallagher1143.png (2 moves, 36 miles)\n",
      "2018-12-03 00:00:00: outputs/gallagher1144.png (1 moves, 41 miles)\n",
      "2018-12-04 00:00:00: outputs/gallagher1145.png (6 moves, 110 miles)\n",
      "2018-12-05 00:00:00: outputs/gallagher1146.png (1 moves, 14 miles)\n",
      "2018-12-06 00:00:00: outputs/gallagher1147.png (1 moves, 130 miles)\n",
      "2018-12-07 00:00:00: outputs/gallagher1148.png (0 moves, 0 miles)\n",
      "2018-12-08 00:00:00: outputs/gallagher1149.png (2 moves, 13 miles)\n",
      "2018-12-09 00:00:00: outputs/gallagher1150.png (1 moves, 23 miles)\n",
      "2018-12-10 00:00:00: outputs/gallagher1151.png (1 moves, 43 miles)\n",
      "2018-12-11 00:00:00: outputs/gallagher1152.png (0 moves, 0 miles)\n",
      "2018-12-12 00:00:00: outputs/gallagher1153.png (3 moves, 58 miles)\n",
      "2018-12-13 00:00:00: outputs/gallagher1154.png (0 moves, 0 miles)\n",
      "2018-12-14 00:00:00: outputs/gallagher1155.png (1 moves, 3 miles)\n",
      "2018-12-15 00:00:00: outputs/gallagher1156.png (3 moves, 35 miles)\n",
      "2018-12-16 00:00:00: outputs/gallagher1157.png (5 moves, 28 miles)\n",
      "2018-12-17 00:00:00: outputs/gallagher1158.png (2 moves, 106 miles)\n",
      "2018-12-18 00:00:00: outputs/gallagher1159.png (4 moves, 18 miles)\n",
      "2018-12-19 00:00:00: outputs/gallagher1160.png (2 moves, 11 miles)\n",
      "2018-12-20 00:00:00: outputs/gallagher1161.png (1 moves, 14 miles)\n",
      "2018-12-21 00:00:00: outputs/gallagher1162.png (0 moves, 0 miles)\n",
      "2018-12-22 00:00:00: outputs/gallagher1163.png (4 moves, 32 miles)\n",
      "2018-12-23 00:00:00: outputs/gallagher1164.png (1 moves, 87 miles)\n",
      "2018-12-24 00:00:00: outputs/gallagher1165.png (0 moves, 0 miles)\n",
      "2018-12-25 00:00:00: outputs/gallagher1166.png (0 moves, 0 miles)\n",
      "2018-12-26 00:00:00: outputs/gallagher1167.png (0 moves, 0 miles)\n",
      "2019-01-01 00:00:00: outputs/gallagher1168.png (5 moves, 49 miles)\n",
      "2019-01-02 00:00:00: outputs/gallagher1169.png (1 moves, 94 miles)\n",
      "2019-01-03 00:00:00: outputs/gallagher1170.png (0 moves, 0 miles)\n",
      "2019-01-04 00:00:00: outputs/gallagher1171.png (1 moves, 9 miles)\n",
      "2019-01-05 00:00:00: outputs/gallagher1172.png (1 moves, 141 miles)\n",
      "2019-01-06 00:00:00: outputs/gallagher1173.png (0 moves, 0 miles)\n",
      "2019-01-07 00:00:00: outputs/gallagher1174.png (4 moves, 7 miles)\n",
      "2019-01-08 00:00:00: outputs/gallagher1175.png (2 moves, 129 miles)\n",
      "2019-01-09 00:00:00: outputs/gallagher1176.png (4 moves, 20 miles)\n",
      "2019-01-10 00:00:00: outputs/gallagher1177.png (1 moves, 9 miles)\n",
      "2019-01-11 00:00:00: outputs/gallagher1178.png (1 moves, 178 miles)\n",
      "2019-01-12 00:00:00: outputs/gallagher1179.png (0 moves, 0 miles)\n",
      "2019-01-13 00:00:00: outputs/gallagher1180.png (1 moves, 66 miles)\n",
      "2019-01-14 00:00:00: outputs/gallagher1181.png (5 moves, 48 miles)\n",
      "2019-01-15 00:00:00: outputs/gallagher1182.png (4 moves, 146 miles)\n",
      "2019-01-16 00:00:00: outputs/gallagher1183.png (0 moves, 0 miles)\n",
      "2019-01-17 00:00:00: outputs/gallagher1184.png (0 moves, 0 miles)\n",
      "2019-01-18 00:00:00: outputs/gallagher1185.png (0 moves, 0 miles)\n",
      "2019-01-19 00:00:00: outputs/gallagher1186.png (4 moves, 3 miles)\n",
      "2019-01-20 00:00:00: outputs/gallagher1187.png (2 moves, 218 miles)\n",
      "2019-01-21 00:00:00: outputs/gallagher1188.png (0 moves, 0 miles)\n",
      "2019-01-22 00:00:00: outputs/gallagher1189.png (0 moves, 0 miles)\n",
      "2019-01-23 00:00:00: outputs/gallagher1190.png (0 moves, 0 miles)\n",
      "2019-01-24 00:00:00: outputs/gallagher1191.png (0 moves, 0 miles)\n",
      "2019-01-25 00:00:00: outputs/gallagher1192.png (0 moves, 0 miles)\n",
      "2019-01-26 00:00:00: outputs/gallagher1193.png (1 moves, 80 miles)\n",
      "2019-01-27 00:00:00: outputs/gallagher1194.png (0 moves, 0 miles)\n",
      "2019-01-28 00:00:00: outputs/gallagher1195.png (1 moves, 327 miles)\n",
      "2019-01-29 00:00:00: outputs/gallagher1196.png (9 moves, 61 miles)\n",
      "2019-01-30 00:00:00: outputs/gallagher1197.png (3 moves, 41 miles)\n",
      "2019-01-31 00:00:00: outputs/gallagher1198.png (2 moves, 34 miles)\n",
      "2019-02-01 00:00:00: outputs/gallagher1199.png (0 moves, 0 miles)\n",
      "2019-02-02 00:00:00: outputs/gallagher1200.png (3 moves, 78 miles)\n",
      "Convert using: ffmpeg -i outputs/gallagher%03d.png -vf scale=958x719 -filter:v \"setpts=0.4*PTS\" outputs/gallagher.mp4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff48f013b38>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Some settings you may want to experiment with\n",
    "is3d = False\n",
    "useBetterMap = True\n",
    "contours = np.array([-11000., -10000., -9000., -5000., -3000., -1500,\n",
    "                     0., 1500., 3000.])\n",
    "LINECOLOR = 'lime' # https://matplotlib.org/examples/color/named_colors.html  \n",
    "FILESHARK = 'gallagher_4feb19/Gallagher_BTW_Tracks_4Feb19.tsv'\n",
    "# Set the output image file extension to 'svg' for huge, slow but high resolution images\n",
    "# or 'png' for small, fast and slightly lower resolution\n",
    "IMGEXTENSION = 'png'\n",
    "\n",
    "# Load data and plot it\n",
    "waypoints, idsForKml, lonmin, lonmax, latmin, latmax = loadSharkPath (FILESHARK)\n",
    "map = makeMap (is3d, lonmin, lonmax, latmin, latmax)\n",
    "drawContinents (map)        \n",
    "elecdf, loncdf, latcdf = loadBathysphere (useBetterMap)\n",
    "lonCurrent, latCurrent, uCurrent, vCurrent = loadCurrent (map, lonmin, lonmax, latmin, latmax)\n",
    "lonDeclination, latDeclination, declination, udec, vdec = loadDeclination (map, lonmin, lonmax, latmin, latmax)\n",
    "\n",
    "fKml = kmlFileOpen (idsForKml)\n",
    "#drawDeclinationContours (map, lonDeclination, latDeclination, declination)\n",
    "drawBathysphere (map, elecdf, loncdf, latcdf, contours)\n",
    "drawDeclinationVectors (map, lonDeclination, latDeclination, udec, vdec) # Fails if before drawBathysphere\n",
    "drawCurrent (map, lonCurrent, latCurrent, uCurrent, vCurrent) # Fails if before drawBathysphere\n",
    "drawSharkPath (map, useBetterMap, LINECOLOR, FILESHARK, IMGEXTENSION, fKml, waypoints, \\\n",
    "               lonmin, lonmax, latmin, latmax) # Main plotting loop\n",
    "    \n",
    "# Scale values are pixels with 958x719 for dpi=150, or 1916x1438 for dpi=300 (too big for Discord).\n",
    "# setpts value is smaller for faster movement and smaller file\n",
    "print ('Convert using: ffmpeg -i outputs/gallagher%03d.{} -vf scale=958x719 -filter:v \"setpts=0.4*PTS\" outputs/gallagher.mp4' . \\\n",
    "       format (IMGEXTENSION))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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