{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Is my life boring?\n",
    "\n",
    "When my life is interesting I take a lot of photos. Lets see if I can plot these photos to see if my life is getting more interesting. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_dir = \"/home/visgean/Dropbox/**/*\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import glob\n",
    "import os\n",
    "\n",
    "def get_extension(filename):\n",
    "    filename, file_extension = os.path.splitext(filename)\n",
    "    return file_extension.lower()\n",
    "\n",
    "\n",
    "picture_extensions = ['.jpg', '.jpeg', '.png']\n",
    "pictures = list(filter(\n",
    "    lambda f: get_extension(f) in picture_extensions,\n",
    "    glob.iglob(base_dir, recursive=True)\n",
    "))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# of pics: 3136\n"
     ]
    }
   ],
   "source": [
    "print('# of pics:', len(pictures))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['MakerNote Tag 0x0001', 'Image Orientation', 'EXIF FlashPixVersion', 'Image YResolution', 'Image XResolution', 'GPS GPSLongitudeRef', 'GPS GPSImgDirectionRef', 'EXIF SensingMethod', 'Thumbnail ResolutionUnit', 'GPS GPSImgDirection', 'JPEGThumbnail', 'MakerNote Tag 0x0006', 'GPS GPSAltitudeRef', 'EXIF ColorSpace', 'EXIF ExposureBiasValue', 'EXIF SceneCaptureType', 'EXIF FocalLength', 'Image ResolutionUnit', 'Image Make', 'EXIF SubSecTimeOriginal', 'EXIF LensSpecification', 'EXIF BrightnessValue', 'Image DateTime', 'EXIF ApertureValue', 'MakerNote Tag 0x0005', 'EXIF FNumber', 'EXIF MeteringMode', 'GPS Tag 0x001F', 'GPS GPSLongitude', 'Thumbnail JPEGInterchangeFormat', 'EXIF LensMake', 'Image Software', 'MakerNote Tag 0x0003', 'EXIF ExposureTime', 'EXIF ShutterSpeedValue', 'Thumbnail Compression', 'MakerNote Tag 0x0008', 'Image ExifOffset', 'EXIF WhiteBalance', 'GPS GPSLatitude', 'EXIF ExifVersion', 'EXIF ExifImageWidth', 'EXIF DateTimeOriginal', 'Image Model', 'GPS GPSDestBearingRef', 'MakerNote Tag 0x0014', 'GPS GPSDestBearing', 'GPS GPSAltitude', 'EXIF SubSecTimeDigitized', 'GPS GPSSpeedRef', 'EXIF ComponentsConfiguration', 'EXIF FocalLengthIn35mmFilm', 'EXIF ExposureMode', 'Thumbnail JPEGInterchangeFormatLength', 'EXIF Flash', 'Image YCbCrPositioning', 'EXIF MakerNote', 'Image GPSInfo', 'GPS GPSSpeed', 'MakerNote Tag 0x0004', 'GPS GPSLatitudeRef', 'EXIF SceneType', 'EXIF ExifImageLength', 'EXIF ISOSpeedRatings', 'GPS GPSDate', 'EXIF LensModel', 'EXIF DateTimeDigitized', 'Thumbnail YResolution', 'MakerNote Tag 0x0007', 'GPS GPSTimeStamp', 'Thumbnail XResolution', 'EXIF ExposureProgram'])\n"
     ]
    }
   ],
   "source": [
    "import exifread\n",
    "\n",
    "with open(pictures[40], 'rb') as f:\n",
    "    tags = exifread.process_file(f)\n",
    "    \n",
    "print(tags.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "date = tags['Image DateTime']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2016:10:05 16:16:11\n"
     ]
    }
   ],
   "source": [
    "print(date.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2016, 10, 5, 16, 16, 11)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "datetime.strptime(str(date.values), '%Y:%m:%d %H:%M:%S')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def parse_date(exif_info):\n",
    "    if not exif_info:\n",
    "        return None    \n",
    "    date = exif_info.get('Image DateTime')\n",
    "    if not date:\n",
    "        return None\n",
    "    try:\n",
    "        return datetime.strptime(str(date.values), '%Y:%m:%d %H:%M:%S').date()\n",
    "    except:\n",
    "        print(date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_exif(filename):\n",
    "    try:\n",
    "        with open(filename, 'rb') as f:\n",
    "            return exifread.process_file(f)\n",
    "    except:\n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MemoryError at position: 603312351, length: 3945995808\n",
      "Possibly corrupted field DateTime in Image IFD\n",
      "Possibly corrupted field DateTime in Image IFD\n",
      "Possibly corrupted field DateTime in Image IFD\n",
      "Possibly corrupted field DateTime in Image IFD\n",
      "Possibly corrupted field DateTime in Image IFD\n"
     ]
    }
   ],
   "source": [
    "exif_data = list(map(get_exif, pictures)) # i want to iterate through these multiple times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2013:12:03 19:12:81\n"
     ]
    }
   ],
   "source": [
    "dates = list(map(parse_date, exif_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "\n",
    "photos_per_day = Counter(dates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing dates 1247\n"
     ]
    }
   ],
   "source": [
    "print('Missing dates', photos_per_day[None])\n",
    "del photos_per_day[None]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing dates 0\n"
     ]
    }
   ],
   "source": [
    "print('Missing dates', photos_per_day[None])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "\n",
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       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"08df9cb6-309b-45a4-a95e-bc9e2665e25c\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "application/javascript": [
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       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    if (window.Bokeh !== undefined) {\n",
       "      document.getElementById(\"08df9cb6-309b-45a4-a95e-bc9e2665e25c\").textContent = \"BokehJS successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    delete window._bokeh_onload_callbacks\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    window._bokeh_onload_callbacks.push(callback);\n",
       "    if (window._bokeh_is_loading > 0) {\n",
       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    window._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        window._bokeh_is_loading--;\n",
       "        if (window._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"08df9cb6-309b-45a4-a95e-bc9e2665e25c\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '08df9cb6-309b-45a4-a95e-bc9e2665e25c' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"08df9cb6-309b-45a4-a95e-bc9e2665e25c\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"08df9cb6-309b-45a4-a95e-bc9e2665e25c\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
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       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import figure, show, output_notebook\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "\n",
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       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<div style='background-color: #fdd'>\\n\"+\n",
       "       \"<p>\\n\"+\n",
       "       \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "       \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "       \"</p>\\n\"+\n",
       "       \"<ul>\\n\"+\n",
       "       \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "       \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "       \"</ul>\\n\"+\n",
       "       \"<code>\\n\"+\n",
       "       \"from bokeh.resources import INLINE\\n\"+\n",
       "       \"output_notebook(resources=INLINE)\\n\"+\n",
       "       \"</code>\\n\"+\n",
       "       \"</div>\"}};\n",
       "  \n",
       "    function display_loaded() {\n",
       "      if (window.Bokeh !== undefined) {\n",
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       "  \n",
       "    function run_callbacks() {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      delete window._bokeh_onload_callbacks\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
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       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
       "        var s = document.createElement('script');\n",
       "        s.src = url;\n",
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       "        s.onreadystatechange = s.onload = function() {\n",
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       "          if (window._bokeh_is_loading === 0) {\n",
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       "  \n",
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       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
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       "          var fn = function() {\n",
       "            var docs_json = 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       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
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       "        var cell = $(document.getElementById(\"410736d5-1a85-4d12-84bb-ed6fd5179284\")).parents('.cell').data().cell;\n",
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       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_graph = figure(\n",
    "    title=\"Pics over time\", \n",
    "    background_fill_color=\"#E8DDCB\",\n",
    "    y_axis_label='# of pics', \n",
    "    x_axis_label='Time',\n",
    "    x_axis_type=\"datetime\"\n",
    ")\n",
    "\n",
    "sorted_vals = photos_per_day.most_common()\n",
    "\n",
    "time_graph.circle([x[0] for x in sorted_vals], [x[1] for x in sorted_vals])\n",
    "show(time_graph)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see that is a bit messy so lets try to collect it by month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "photos_per_month = Counter([datetime(d.year, d.month, 1) for d in dates if d])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_graph = figure(\n",
    "    title=\"Pics per month\", \n",
    "    background_fill_color=\"#E8DDCB\",\n",
    "    y_axis_label='# of pics', \n",
    "    x_axis_label='Time',\n",
    "    x_axis_type=\"datetime\"\n",
    ")\n",
    "\n",
    "sorted_vals = photos_per_month.most_common()\n",
    "\n",
    "time_graph.circle([x[0] for x in sorted_vals], [x[1] for x in sorted_vals])\n",
    "show(time_graph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1889\n"
     ]
    }
   ],
   "source": [
    "print(len(list(filter(None, dates))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I was only able to parse about 60% of my photos - rest of them comes from facebook or dont have dates at all :/ But its still nice to see that I am taking more and more photos."
   ]
  }
 ],
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