PH526x - Using Python For Research - Case Study 5: Bird Migration

taruma_ph526x_4_2_bird_migration.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Case Study 5: Bird Migration\n\nJupyter Notebook ini bagian dari kelas \"Using Python for Research\" yang diadakan oleh HarvardX di edX periode September 2019-Februari 2020."
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Introduction to GPS Tracking of Birds"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.100290Z",
          "start_time": "2019-11-30T04:08:14.181495Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import pandas as pd",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.223418Z",
          "start_time": "2019-11-30T04:08:15.102283Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata = pd.read_csv('bird_tracking.csv', index_col=0)",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.249331Z",
          "start_time": "2019-11-30T04:08:15.228343Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata.info()",
      "execution_count": 3,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "<class 'pandas.core.frame.DataFrame'>\nInt64Index: 61920 entries, 0 to 61919\nData columns (total 8 columns):\naltitude              61920 non-null int64\ndate_time             61920 non-null object\ndevice_info_serial    61920 non-null int64\ndirection             61477 non-null float64\nlatitude              61920 non-null float64\nlongitude             61920 non-null float64\nspeed_2d              61477 non-null float64\nbird_name             61920 non-null object\ndtypes: float64(4), int64(2), object(2)\nmemory usage: 4.3+ MB\n"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.269400Z",
          "start_time": "2019-11-30T04:08:15.251446Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata.head()",
      "execution_count": 4,
      "outputs": [
        {
          "data": {
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>altitude</th>\n      <th>date_time</th>\n      <th>device_info_serial</th>\n      <th>direction</th>\n      <th>latitude</th>\n      <th>longitude</th>\n      <th>speed_2d</th>\n      <th>bird_name</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>71</td>\n      <td>2013-08-15 00:18:08+00</td>\n      <td>851</td>\n      <td>-150.469753</td>\n      <td>49.419860</td>\n      <td>2.120733</td>\n      <td>0.150000</td>\n      <td>Eric</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>68</td>\n      <td>2013-08-15 00:48:07+00</td>\n      <td>851</td>\n      <td>-136.151141</td>\n      <td>49.419880</td>\n      <td>2.120746</td>\n      <td>2.438360</td>\n      <td>Eric</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>68</td>\n      <td>2013-08-15 01:17:58+00</td>\n      <td>851</td>\n      <td>160.797477</td>\n      <td>49.420310</td>\n      <td>2.120885</td>\n      <td>0.596657</td>\n      <td>Eric</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>73</td>\n      <td>2013-08-15 01:47:51+00</td>\n      <td>851</td>\n      <td>32.769360</td>\n      <td>49.420359</td>\n      <td>2.120859</td>\n      <td>0.310161</td>\n      <td>Eric</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>69</td>\n      <td>2013-08-15 02:17:42+00</td>\n      <td>851</td>\n      <td>45.191230</td>\n      <td>49.420331</td>\n      <td>2.120887</td>\n      <td>0.193132</td>\n      <td>Eric</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "   altitude               date_time  device_info_serial   direction  \\\n0        71  2013-08-15 00:18:08+00                 851 -150.469753   \n1        68  2013-08-15 00:48:07+00                 851 -136.151141   \n2        68  2013-08-15 01:17:58+00                 851  160.797477   \n3        73  2013-08-15 01:47:51+00                 851   32.769360   \n4        69  2013-08-15 02:17:42+00                 851   45.191230   \n\n    latitude  longitude  speed_2d bird_name  \n0  49.419860   2.120733  0.150000      Eric  \n1  49.419880   2.120746  2.438360      Eric  \n2  49.420310   2.120885  0.596657      Eric  \n3  49.420359   2.120859  0.310161      Eric  \n4  49.420331   2.120887  0.193132      Eric  "
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Simple Data Visualizations"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.516284Z",
          "start_time": "2019-11-30T04:08:15.271387Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt",
      "execution_count": 5,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.524220Z",
          "start_time": "2019-11-30T04:08:15.519234Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import numpy as np",
      "execution_count": 6,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.536188Z",
          "start_time": "2019-11-30T04:08:15.528209Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "ix = birddata.bird_name == \"Eric\"",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:15.548161Z",
          "start_time": "2019-11-30T04:08:15.540177Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "x, y = birddata.longitude[ix], birddata.latitude[ix]",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:16.380055Z",
          "start_time": "2019-11-30T04:08:15.552090Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "plt.figure(figsize=(7,7))\nplt.plot(x, y, '.')\nplt.savefig('eric_projection.pdf')",
      "execution_count": 9,
      "outputs": [
        {
          "data": {
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\n",
            "text/plain": "<Figure size 504x504 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:16.388959Z",
          "start_time": "2019-11-30T04:08:16.381979Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "bird_names = pd.unique(birddata.bird_name)\nbird_names",
      "execution_count": 10,
      "outputs": [
        {
          "data": {
            "text/plain": "array(['Eric', 'Nico', 'Sanne'], dtype=object)"
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.395744Z",
          "start_time": "2019-11-30T04:08:16.389957Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "plt.figure(figsize=(7,7))\nfor bird_name in bird_names:\n    ix = birddata.bird_name == bird_name\n    x, y = birddata.longitude[ix], birddata.latitude[ix]\n    plt.plot(x, y, '.', label=bird_name)\nplt.xlabel('Longitude')\nplt.ylabel('Latitude')\nplt.legend(loc='lower right')\nplt.savefig('3traj.pdf')",
      "execution_count": 11,
      "outputs": [
        {
          "data": {
            "image/png": 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J5u4rZsGqncHWmddnowCPy2C4tYMJ5g7GdDO5/NirqOMWHA+uOkNrsDB43prCC9YUfjH0CBMm3yihdpZIsAkhzojs/GzmrZ9X53vSEtJ4fdrrjb53bYEGzmQQt39358BC7ofGPURmembUlP1A68zA6Wq8eXRv7uhdyICV/4nL9qKORq+PszTY/nJXn+nBJLgNPN+aCRlS2upskWATQsRVaHmquvTv2J+3bnqrUfcNrD/7+JuPaw20GwfeyNQBTtmOnMIckvUQig72YEnJ/mCYGUph2c7VhoKJA9O4/8rBjDF2Qd6TYFdDyL0DW8d4MXndnsRS6xI+V0OYMS6Dm0f3lnqNZ5kEmxAibupbl5ZgJDBt4LQ6J4jkFeVxx8o7gq+vP+96ktxJda4/Cw200PtaFX39Y2j5YWEGGtNQaK1xuwwez8ih3z9/BYe2ONVAqIk1SwMYrLJG84I9hSEXXcmkTu34VRuvqN+SSLAJIZpV6L5naw+srTXUeib15B/T/1HvvUJDDahzWYDH8MQMtIA3Nh8ImeEYHmb/PdFLcuF6BqlvSFv3ZtS1WsM/rSw+1wOC+6C5DMVD0kJrcSTYhBDNpr4WmqlMHh4XXZ6qNjmFOQ3+7BFpI3jgogfqrOX495yCYMvLZSh+PW04nkM5XFaxivSNrwVbZ6G0/3+8uHjemhKssG8omHfDcAm1FkiCTQjRJKFV9xd/sThmAWITk8szLq+zqn4sgW1pYnEZLmzbRqODdSJrC7XItWgKmD2slBlHnoWtLztlrWLQwAZrKLt1L5ZalwZDzTQUj98wnBnj+jT4dxFnjgSbEOK0ZednBxc9xyqF5VIubhp002kvss5Mz6RPch/2l+2POnfHsDuY3GdyrXUiAzMevympCM52dHat3k6Zkcy9X78MVhXEeG7t//qzbwpP+2YEjyvgqvO78cPLB0hLrQVTWkf/TW1psrKydE5Ow7skhBDxFRhHe2PXGzH3Latvm5fGflbkOBs4obnw2oUxAy20SLHLNEBrLtT5vOR+Eo/yoZSBoW2I0brUgKUN5npnhe1WbSiYf+MIaaW1IEqpXK11VLNeWmxCiAbJzs9m2e5lVFvV7C7Zja3tBhcQborM9EweHf9o1Bo4S1vkFObUWdNxtNrJBLaTPGwSI60jJO71oQKbkRoG2NHB9lnSROYXXxW2W7WE2rlFgk0IUa8f/vOHrDu0rtbzLuXijvPvoGNCx0ZvH9MQO47viDpmKjM4Bhc5jjZa7eRm8yOmm87eaMbXb2F8+7dQkFCzTcy4H8InC8LuWdznKr6za5a/Or9DSaidcyTYhBB1eibnmVpDzcTk5sE3N6lQcUMcrYgukhyoHgLh0/hHq501e6MpZ1wM2+tU1g/dJmbL3yLuaPCa55bwUAOekFA750iwCSHq9Fr+azGPN3bqflN0adel1nNLNuzntU0FjPJPDOllHMWjfBjBd6jwPdAyxkLBRti9KvxGfSew2R4EFAYPXXl+Nwm1c5AEmxCiTr4Ya7tSE1L578n/HddWWqhpA6aRvTM77Niy3cvwloxj7ptbycRppbnxoQ0T03CBbYHhglEzwqvs5yyC5T8jdOKIBtYeT2XV0ZpQc5mKH10+IP6/nGh2EmxCiFrlFeXRvX33qOn2o9JHnbFQA9hVvCvqWGIlHHxnPpkMY7yxHTc+XMpGo2DUnZDSO3wftIKNzpjajncJq/uIMwvyv49mBbshFfDdrAyZ0n+OkmATQkQJTOd/c/eb0Vu+YDBr+Kwz9hyxCigrFD/etZZRZjk/MV38xnsHXlwYwX3Qbg3fMuZ3g+FUIZG0BhvFXO+ssFmQpqG4ZXTvuP1eIr4k2IQQQZGBFjmd36VcYZM24v0ss1bOxBdRnkuhmFB0HqMqCnApG7SPNOMkH014kavb74rerTpGqAWW71oo5nrvCluvpqRU1jlPgk0IUWegBarl3zDwhuaf/ViwsWaWYsSmnAvWzXOq9ysV9izDE+7iaLHG614H2odluJky5bsMvejK6Huveiws1AJ1Hy0Uq6wxYbUfAUwFj8ssyHOeBJsQbVCgvmOKJ4Udx3ec+UADJ3gWT6tZV3bn28FweybnGXJLQ8bVtLNXdeXhG8k5OQSU5g7vQ1zs2sF1102PDrX3H4taoxZQZicw0/erYKANTO/AXRPPo7i8mvGy9UyrIMEmRBsSq2WmUPENtNpaZXs/ckJNW873vR9Bxliy87NZ9MUi/8OoYL9h18MT2VMyDlPZfH9sH3p2Gsz4/jMZGhpEgVbavtjr7oqNzoyu/GP4sZNV0kJrZSTYhGjlQltnT296miqrKizIAj/HpYVWR6uMfpc6xwLn+l1KXlEej69/vOb5tPNkqcdGsP/ENEzl7J0Wc5fqN34AW/9e66N8cd4spm6/Kup4SYU3xrvFuUyCTYhWKrR15rN9GMqIWd/RwMBluJoeaLFaZrW0ygDnu78SyI7EkbzyRREfHHsWW+vQhhreY5dRVDKFeTdcUHt34fuP1R5qnfqwoddMbt08NEbJYxjRK+X0fl/RYsU92JRSJpADfKO1nqKUWgRcDpT63zJTa50X7+cQoq0ITJFfe2BteJBpMJQRLFR8w8AbGNZ5GKXVpQ2v71hbt2JtLbMYrbIwGWPJtQdx+9//gJm2DFR49CQbvbh99M9qH/vKWQTb33I+P0Rg25nt583ilY5389qmAuwYO5kM6tqeN396Sf2/tzinnIkW233AdqBjyLFfaq1fPwOfLUSbEQi0NQVrojb7VCg8pocHLnqgcUEWqq5uxdpaZiGtssgwDOyXtvXoFsyuSwEdnAAZyKDvDLqVn0wYGPt53n8MHTFBROEEmq3hYe/dvLr9ChT7w9qosqda6xfXYFNK9QauB54AZsfzs4Roy7Lzs5m/fn6tu1c3ulBxY7sV62qZBQIuRKAaf7XPJqH7SsyUmu5HpZyv6zJm8PMJd0Y9Wu6+YjZ+9B4/3L0ApQm7zllw7Q81/9q00FBzGYp5svN1qxfvFtsC4AEgOeL4E0qpR4F/AXO01lWRFyql7gXuBejTR/4hFKI22fnZ4RMuQtRbqDhWgJ1Ot2IdLbNY1u85RrXPdkpYuQuDLTWlIC0xjWcnPRsWwoHWXVmFl5yP3+MZ839RRtgSN7QGHyaPeGdGbRDqMhTTszJiTzoRrU7cgk0pNQUo0lrnKqW+FXLqV8BhwAM8DzwIzIu8Xmv9vP88WVlZLX+bbyHOgkBLLVaoTc6YXPcO1rUF2Gl3K3ZmfP+7GJNRf3CM798Fj8vA67Mx3KVh5zymJ2zz0Dc2H2B37gdMYy0DKGW2+zPcIdVIAt2WG+2h/Nb3fTbrwbhMxfeyMrigZ4qsT2uD4tlimwhMU0pdByQCHZVSL2utb/efr1JKLQR+EcdnEKJVCq2hGGuW49zxc8NbaY3pWmxCt6LHZfDKPePrDZExfVN55Z7xrN9zjBf2nwgrmlV46ihLNuxn28FSdud+wF28zTwzFzN0rV3oWJyC0p6X4brmrwzdfIBhIC2zNi5uwaa1/hVO6wx/i+0XWuvblVI9tNaHlFIKuBHYFq9nEKI1ys7P5on1T2DFqKE4KWNSdCutsV2LjehWzN1XzIJVO4ObfHp9Nuv3HGtQqIzpm8qeylVY+8NbX17t4/U33+Bec3lYoIWGWSDQtFIYE++j01W/YYz/nkKcjXVsryiluuJMTsoDfnQWnkGIc07drTTF3LTxTB90G0R2PZ5G12Ksllmk0JaaBgzA7TIY37/2TUEBZiyfwbZj23ApF12Tutac0M6/FIZUmPzN83iwuzEYaP63WcrFiT6T6ZzeGxVZxV8IzlCwaa3XAGv8P08+E58pRGuSV5TH3f+4m2q7OuqcicHDx0uYvvd1+Ozt8Gn40OiuxVgCkzdCx6pCJ4AYCiYOTOP+KwfX2WqasXwGW49tBcCrvRw8edB/xomt/tXVvF7o7P0WGWgKA4Zeh2vifXSWMBN1kMojQrRAgTJYgfVmOYU5eCNCLdj1aCWSufeF2NPwodEzFiPVNoYWOgHE7TLqDTUKNjqh5u9GdGhSLYuh1V6uOlXO9JOnnC5GogONifdJ60w0iASbEC1EIMxOVJ3gpS9fwtY2HtPDC1e/QJZKwm1rqv2BYCqThwMTRAo2wobFtVf3gAa3zGIJbZmFjqGFTgAJtuQCk1TadYGKY8Hvh4qK+OjrlyEtEHw1NbNuLDvF7JJSZ+xMOZmnDDcMvgY6pEdvGipEPSTYhDjDsvOz+cPmP1Ba7UxzVyjSk9IpriyO2jqm2qompzCHe0pKebHwKO+0T0SjmDb0u2QGZj02sUUWKbLbMbJlNr5/l2CAjWnXhTGuY3CkC2zNg8+WgOXFWSbt1AGxURR63Czu6h97CykEeX3ZKX5WXIqtFCgDo+946DpEwkw0iQSbEI0Q2kUIkFOYQ+lJN18WHmZ76TLKOEUiCShMKuxy2mvF1PKebDb7MG7YLZzX4wTz1ocv29RoCssLY30chjKcz+pUTeba35F5/ITTKht6S/gbm9AiCxXZ7fjmNDdjKrfw5rSR/OtkP67osJehW38TM8Bqvof+ZvB5gpu7u6dTHVEv61vF7RlxfDAbL5zIuO40SygLARJsQjRIZGFhAwMAS4dOuXf+hV1JpfNSwSmlebXDARQH2PP1eobkV0KCJ7xkRigd2EIGTMPkoXEPBafu77jmZYq//ICybuNZk9OO3SvWcfxUNW7TwOMymNC/C8nt3MFZiZGTPWoT2kL7+rPV3K3f41OGYVgwYOV/gvYx1PQw9Nqn4L054KskMsDCvwfGyBRKa97s0N4JNX9LrbPlYnLqFNL6zmSoLJwWcSDBJkQ9Ys1ItLDCCxQq/4yH0FZJyM9aKTQ23SwfX+CpKZcRQgHfKTvJsKpqSkwX7TpfR//EK1myYT+vbdrPl4eq8VkT0dsB9kddv+VAKQpnhqKZtB8Sv2LBhiRSO3hp7+rI4ZPH8fraYZjldE+4gB+Nu4Ih3ZODLbSxrt287H4SzGp+arp4U1+GS3tB28743fa3nO/+ANNhT67RGNjKxccdruafxd3xJhzkvV7bQiaKOH99zuuZyWPfnt+EvyNC1E2CTYg65O4r5tfr/yd8mn3orL5AQOmI1xE/G1rj1ppZpWVcUl7JH1JTKDWcVp8CMnw+5h0p5sIqHwqNFxe3FQ3h852f4rNiV5Qz2u3DlbQH20rCMMuxrSTMxIMoswxXh3z/FjCacqAcMBPB9F97XP+L36z7hD4dBmJ3PEo/6yQDPDkstV2cMD0kWzafmsfRVjKvpCRxyDRJKT3OU+5EtrRz0dHSfGwM5Li3K1XtjlOlXbS3NF8leTnp9WGnVuLpEl57IfCXrLiquFF/D4RoLAk20ebl7itm6eYDHCmrYpSxiwnGdo7rDly+6ym+ap/I3q6dCUkyAJQGl9bcUFbOoGqL5/Vkijt9ge2qRNlulG1iuyppZ8PPi49TYhqMq6hkZFU1Iyur+U7ZKQAsnLCxUHhx84h3Jp3VSdbbw9isB4M/1AIh5ivvj13RF6PdPpL6/AWUj/BuwRqRVe/DG5c+3KkbOMQGErrCETTvAG8T2i14lNXUbMJ5pMNx7mnfJfiXQnMUOBr1ua7EI2HPEKlfx371/S0Rokkk2ESblruvmN++8Fey9BdYugMz3S/hwYvhD4tlHTs4b1SAdtZc/UdxKSWmSUp5F/aWX8VSzufeaTczpHsySzcfQAO3jO4NOONcIzvsJfnwev61z8eQwv8hQfmosk1+Yzshdlx3CIZZXmKCvxVWTIK5Guz2kPAN7pQcUDbtlJvb+j7JpsPH2VHpA6Vrej1DWpLBslPU/l1FzPnQUd2q4T2qBKbjxwjKwH1j/RzKVCazhs9q4t81IeomwSbanNx9xXz92WommF9SesLDYvN3uPE5kx2wMUPCwhtxbf9qb7C19SvvdI4PncGvQjasjJwI4bweCFzJvwHw6+BkDe+JL/j7/k/xepPo1ikZU3vp6HoZCy9RrTB/0Chl0blLAQ+fP4Uf/PMtqqxqf5ejcpqRfi5lMqLT1Rw4lEo1J/HQITjGZiYexNMpB2dGo0ZpZ/Zi4Dua4HcID6mQmfpR4VXbzwH17jYgRDORYBNtSu6+Ypa+MPTmnn4AACAASURBVJ9fmwtR2PQwTGwsXErj0wqNgU/bmGjyPB52eTxh11dU9eJDuzsrrbFceMP9Dd6wMrBMIMWTQml1Kek9U1j0zdN4O1ZjY3MYhalMbG0Rs2tROevd3IY7WI3khatfCLtniieF7ce3o1BMHTC1zgAJPE/FwUN4tr9IZ181JaZJR0uz54Lb2XwsnfyjhVRZJ3F3/jBsCFFhktlxKgPT0jm/W/fgZ7Z3t2dT4SbS26VzSa9Lgs902jt2C3GaJNhEm7Lxo/f4jfl/mNgoBZbtQ2PiQ2Mbbpb3vI/+7as4rjvw0fE/YSuCXXNKGQwe+ks6DJvIUw2cop5XlMfbX73NW7vfwmf7sLFR/hCztBVcjK3R2Nr2h5sdfJ8z19DAZbi4ceCNYYGVmZ552mERvHYE4D0GOYsINgutKri9ZsP7yFCWkBItnQSbaFOGFS4PhprWzlqrwISNvcmj6JR2CX1H92Zy31Se/ftOdPmG4LLjvoljefzaKQ36nNBAi6wmEivEDAw8pocHLnogrKVzRsJk5Az/gusq5zfd/FJY5Y+mBKgQZ4MEm2hT2rnD/5E30HzL2MLz1hQ2l/SBDft5PaeAx7+XTEFFDuAfU9Imdwy7s0GfkZ2fzZMbnsSnfWHHQ1tgsULsrLWEMsbCoKtgx3Lnte2FT/4AvUZLNRBxTpJgE21KyoQ7sJa/jant4KzAa8wcrjJzec53PU9bM/Bampe2vYGFFZwEMTptAt+7MEZx4RCBVtrSnUvDNgENjI3dOPBGhnYe2jK78zp0DX+9YznsWAGuxOhtcIRo4STYRJsy9KIr2Vs8n4x1D2Ogg8FlaM2PXcvZr7vxmn0FXx07hJlcM7uvU5Kn1nvW1e1oKpNbBt1S72SOs27kDPjsFX/9x5ASWb6q6G1whGjhJNhEm9Pv6p9A5/awYjZaW/6JIU6X4/fM1bxqX1HLkudwdQVaYILIQ+MecraWaekyxsLMFbDsh3B8T81xRextcIRowSTYRNuUNRO6nU/Z8odIPrwpuDZrhPE13zf+xTJfcvCtWsPxsoTg6/oCLdDt2OJbaaEC+6j1ygoPtuHfkdaaOOdIsIm2K2MsHX+8ioL/dxO9Cz9AKTC1Zr57IVtO/IiCTiYaC7TJhi3nkZtZjNluHz/45w+osqpaT6B9sgDy38NpuhohJxWkDz1bTybEaZNgE21extRfYb24FkNb/nCz+ZaZx0sh77G0Zv2eYySk5VBtVQdD7ZwPtB0rcSqQ+GkNhsv5Xttu3EK0cBJsQmSM5VDHC/lOSiGn/BX3Db0PpUynXiIWrpTNlFVMYmK3LDymB6/txVTmuRVoBRthyxI4eQR2/sOZ1h/JMOG630PFMZnqL85ZEmxCALd0Oka5YQZf2xFVhZVZxl8+/pqrLpgQLGXV4qbs1yYQaJtfjh1mAcofalkzz9ijCREPEmxCAOUm4RuFQkiJfIWrw058CXtZv2cwP5l0DlXiyFkE7/4c7FpqUAJgwNDrYOJ90kITrYIEmxCAgcIOLWcfpIL7l3lSP2N8/1vPyvM1WnAM7V1iBprhhsHXQIf0sPJZQrQGEmxCAHOThjDv1PbwjcZQaP+mZEpBQqdczHb7gIYVQD4r6up2VCYM+baEmWj1JNiEAKZbHgpKTrCwU8dguGkN2nKhTCcgNDY5hTkttxuyrm5HZcD1z8j4mWgTjPrfIkQbULKP2SWldPOGFy62tRu0G+X/vxRPyll6wDoUbIRXZ8Dy+8H2ER1qJlz/rISaaDOkxSZEwUY4vBUAM+KU6SrHquyKSjiGZVg8velpBqUOajmttpxFsGI2aCv8uHQ7ijZMgk2IZT8M/pgYMnEkMNRmJh4JtoG8trdldEfWNTlEuh1FGyfBJkRIbcTbT5QxL61zcAlbcB4JTqV+U5l8fmgvj3yznGGpF1JcXs34/l0Y08AdtZukIQuslSmhJto8CTYhQkw/eYrchARWJHcITpAEZz5Gb8+3KPCu5YODb4N+l1c23IOu6ItpKO655DyS27njF3IFG2HhdXUssFYw9HpZiyYEEmyirfvrTVGH/vPocVZ06BAoOgI4vXs7v3Hh6WqhlEbjw52yGZ20B195f/78oUYBpqGYd8NwZozr03zPWLAR3v5p7aEmrTQhwkiwibZt/7qwlxp4NjUFlA4U0wqe85X3x6NdaHygTdwpOaBsPNpF+f57sCv64rM1c990JqI0S7jV2lLzVwuRySFCRJFgE22cs+IlMP3i9Q7tnbVsELZQu6rwJuyKvpTvvwdX0h5Mdwmu1E1AdOvNrujLo29tY0j35KZ3S275W4xQUzBFpu8LURsJNtF2PTsCfOXBySFbEjz8T6p/nVrIrJF+5vWMHDIdDQzvOYLi8mrSuhzivz7fQrVVDcrETM3F0law9ear6Mu8d77g0akXNC3cDmyKOKBgygIJNSHqEPdgU0qZQA7wjdZ6ilLqPOBVoDOwGbhDa10d7+cQIkzBRijdj9Ywtk9PKv3b1YQVQQZ6+nwsn/lUjBsMZEh3p8r/oZOHeH3n68Gxt4S0VVQdvZItB/ryvec/5bV7J5xeuOUsCq6vC+p7sYSaEPU4E5VH7gO2h7z+LfCs1noQUAzcfQaeQYhwW5aQl+Dhwr69qDRNJ9ACXxBsrd1z6eO13iIzPZN7RtzD1AFT8ZgeDAyU0pjtd5HU9zlcnTbgszS/Xbm91nvU6ePfRx/rOvj07iVEGxLXYFNK9QauB/7if62AycDr/rcsBm6M5zMIEaZgIyz/GZMO/4M7enSD0JZaoD5koPixpZg+ZHq9t8xMz+SFq19gfM/xwVuBTWK3tzDa7WPj3mKWbNjfuGd8dQaURF6jYOSMht9HiDYq3i22BcAD1Ow93wUo0VoHCvIdAHrFulApda9SKkcplXPkyJE4P6ZoEwo2wuJpXHNoJUdd/uJZoa20iJd2I/50ZKZncmWfK8Pug7JxJTmLv1/b1MBgy1kE/3ct7FgRfW7KApn9KEQDxC3YlFJTgCKtdW7o4Rhvjbn7odb6ea11ltY6q2vXrnF5RtHG7P0IrGoOhoZaDIHJJIYd83StSqtLQ24CYOAr7w9AgqsBf9QKNjqFjCPrPgJMvF/G1oRooHhOHpkITFNKXQckAh1xWnCdlFIuf6utN3Awjs8ghBMYez+Cdl3A9JCkNeX1hJqyYOvdW2O+pzZZ3bLwGB6q7WrnP+FCgrFTkqf+G6x6jKj/zuvYEy57UEJNiEaIW4tNa/0rrXVvrXU/4PvAB1rr24DVwHf8b7sTeCtezyBEoPuRD56A9+bAtU8xpdOwmK21YKipxocaON2RNw68ERXomFA62BVZr5xFsG9d9PHpiyXUhGiks7Ef24PAbKXUbpwxtxfPwjOI1q5gI3z0e6dosFXtdO9Z1Xxz6AAHrRnOJJEYneC2DVvvbHyoBQztPBSN9t9bY1tJAKQlJ9T9rMvvjz4+8X4ZUxPiNJyRBdpa6zXAGv/PewD50yriJ9BKs6rBcIFhgg224eZnGzqw0ZeIq9NNJHZfFix0HAg5d9FPm/TRH3/zMVBzT1f7fOzScdwyunftFy2fTVQXZN+L4arfNOlZhGirpPKIaH32fgS+KsAGSztdeSm9eW5fTzZuc8pl+UrGYXX6FDPxcPAyVd2DLXN+GPueDf3oE3vDXquEI7XNUXHkLILCGC3EKyXUhDhdZ6MrUoj4ateFmpkbNnQfCZf+nNUn+4a9ze3SwdBRCpI7nCSvKK9JH52aEFFhxNcey4YH3/ic3H3F0Rds+FP0MemCFKJJJNhE63M4j+DKEmVAxTFy9xWTu78k7G3dEjPCXpd5y7hz5Z1NCreUhJSYx3cXneTW5z8ND7eCjVC8N/yNnmTpghSiiSTYROtSsBE+W0JwzMpwQb9LWb/nGLZdM45lGop7LrwLQ4X/EbCxWZC74LQ/Pq1dWthrs90+jHb7AKi2NOv3HHNO5CyCF68BX2X4DTr2PO3PFkI4JNhE67L3I7BCtnkZdTtkjKWswhs2PeMHl5zH9y68lLnj5kbd4vMjn5/2x08dMBXD/8fKqT6icadsDp4f37+LfxbkfYQtdAu+4d9P+7OFEA4JNtG6hI2vAd1HkruvmL98/HXY205UOVXdYtWCtGJV/migzPRMRqWPCjumzDIAhgX2Z1t0feyLpbqIEM1CZkWK1qXimDOupm1AweE81pddgmWHT6fPzingltG92VO5KuoWXZOaVsKttnG2UX1T4al+zjKESFP+IKEmRDORFptoXfpd6oyrAaDhsyVc0WEvphE+595raR5a8Q6Pr38i6haX9b4sLo82b8slUBljZmRiqoSaEM1Igk20LhljnXG1wKxIq5qhhcuZd8NwzIj1ZF+f+hw7otvRxGTagGnN/lg7XbdhUkvF7zl7m/3zhGjLJNhE6zPyVjDd/hdOq21Gz8P8/UcXM2NcH0b2TkGBU3lfG2GltS7PuJzM9MxmfZwMVYTb1KCduA0Lt4kxSmkJIZpEgk20PpGtNtsHez9iTN9UnrxpBI9OvQC3qbAr+lJZeAOggrUj1xSsITs/u0kfX1pVs32NUpDgKQ7+DIB2prccGvEjWbMmRBxIsInWaeSt4EoEDCdR2nUJnhrTN5W/3TuBq87vhlU6Dm+JU+VDKWcd27z18xixeASTXp10Wh9dbYdPDtmXYLElwRPWMvza6s7ftpSwY1P05BUhRNNIsInWKWMsXPsUGP4Zku/NcdaP+Y3pm0qXfq/Tedg8zI7OXriR1f6PVh09rXC7aeBNUcdeS+sX9rq/cZj71KsMXjEd/jjWWbAthGgWEmyi9ao45qSVtp0p9ns/Cp6a8+EcVny9gmpdjmk6a9piFSs+WnW00R87fch0hqQOCTt2KD0DrUx0yOeYCpS20UfznQXbEm5CNAsJNtF6teviTxEDTI+zFMBv7YG1MS+J3KctxR17TVp9RnYdGfY6t3QXC7JuRBkubP/YX2DLnOCEklgFkYUQjSbBJlqngo1O96O2ne7Ia58Kq5jfq0OvsLeHttZCf77mvGtO6+OnDpiKiRl2bOGxTTxz6V0cGvMLnrOmogkJUQ32kfyw7lIhxOmRYBOt096P/Dtn2056VBwLOz13fHSNyEDIhH5fvnvFaX18ZnomD49/GEV4/+ai/f/gyLgpdJz6JA/77sYmpOWmNbv++fxpfZ4QooYEm2id+l3qdD8qM6obEpzgeenbL4UdizXGVm6Xn/YjTB8ynZkXzAw7ptE8/PHDzBjXhxHT7meTNTTs/Fdff02/OacXpkIIhwSbaJ0CsyL7Xx7VDRmQmZ7J1ju3svXOrcy6YFbwuFI1rbaeSX2a9Bizs2YzJn1M2LH9ZfuZ8+EcZozrQ+fzLgw7dxRnTK/fnBVc+fs1/OCvObE3KBVC1EqCTbROBRth5S/hq9XO93rGrt7c9U6wSzBAKfjH9OVNfpT7x0RXF3l/3/sADB45EagJ0m12v+B7dh85xftfFvK959axZMN+/nf1bgk5IRpAgk20TluW+Kvoa+f7liV1vt3nbR/8ORAyacaIZgmSzPTMqIkkwbG33U7ABQJ1uLE3+tlsePStbfz+n/nc9pf1Em5C1EOCTbRSkQNmMQbQQnR2DYw6dvjU4WYJkryiPOyITUWHpw13WpH5K2OO7YUyAJ+tsTVUem2Wbj7QpOcRorWTYBOtU/eRdb+O0DPV+aMQ2h1pJh5BZTzJG5sPNKkbMKcwJ+y1Qjndk1v+BiG7CyjDJOuGf+e2cX0Y2y+VgV3bc9X53bhkUFrY9a9u2i+tNiHqIBuNitbpcF7dryN8U5EfNb6mNZieEpbtfZ6qomvxuAxeuWe8swt2I5yoOoEOqek/84KZZO7Pg9zFIR9owvXPMDTrSp64qOZw7r5ipv95Xdj9LBvW7znW6OcQoq2QFptopRrXFXlFnyui76CcLzN1DSTuw+uzG916yyvK469f/jXkKRQdK0phxeyQ1pqCMf8Wc7PRpZsPELH5N25TMb5/l6j3CiEc0mITrVMjuyJnZ80G4OUvX8arvVHnE7quxPrmx7yeewCfZeNxGTw65QKKy6sZ379Lra2nt796Gyuku9FQBlkFW8K6IFEGjJwRde2SDft5deP+sGNj+6Xy4LeHSWtNiDpIsInWqZFdkeCEWyDgZq6cSW6RU/VfKXC138voETv5dMsgbA3VXptH39qGrXWdXZTHIiqeZLbrTuYXa8LfNOTaqHV2ufuKefStbVj+1poCbh3XhydvGlHv7yFEWyddkaJ1Onmk7tf1iLX27Ki5Co/LwFRgGApb62DILVi1s0HdkwMO5xO2h7YyY+6ivXTzAXwhfZCmobhldO9G/Q5CtFXSYhMihsz0TNIS0zhaWbNtTbV9ilfuGc/6PcdITfIwb/kXVHudifyf7D7Kpr3Hw7on91SuYm1BzS4CLmDqyZMhn6Lg+mdittZeyykIvjYNxbwbhkv3oxANJMEmRC0u7HohHxR8EHx9tPIoeypX8ZNJ0wEY0j2ZBat28snuo1HdkwmdN+FOXxqcDalQ3GykklkVMmbW9+JaJ4z4rJrW2hVD05kxrmmlvYRoS6QrUrQNHdIbfcms4bOiqvPPXz+fvCJnvG5M31Tuv3JwVPekkbIBs+tSbH8JE62dSSOXe5MJm+DYdXDMzz1SVhX2Oi05odHPLkRbJsEmWp+cRZC/sua14YaRtzb6NpnpmUzKmBR2zMZm4baFwddj+qbyyj3jmX31EObdMJyEzptI7P4moEOKKSuu847i4n2fgH8jU0u5eN13WdS4XO6+Yj7ILwq+dpkytiZEY0mwidalYGPEGjFg9B0xq/s3RKxW2+qC1cFWGzjh9pNJA3F32oA7fSlKhYfaqCNDmV+wDBMbpcAGXvVezgMbEqJKdj239quwbsjJQ9JlbE2IRpJgE63LliURa8TM02qtBcRqtWk073z1Ttix7Pxs5q+fH1ZhxFCK75ljWXzqfVRIC87GZKl9KbaGKq+z6Buc1tq/theG3Ve6IYVoPAk20bpETuvvM/60W2sBsVptRytqZkvmFeXxxIYnwgodGxg8MuR2HtmzFAMbhTPJXyuDzcMfZqsaAv5jr+ceIHdfMUs3HyCksYapkG5IIU5D3IJNKZWolNqolNqilPpCKfUb//FFSqmvlVJ5/q/MeD2DEHQd0uRbZKZnMjp9dNix0qrS4M+R1UUUirlDbmP61vfCixyjMKY8y7jpP2d6VkYwKi3LabVFTvF//MYR0g0pxGmIZ4utCpistR4JZALXKqXG+8/9Umud6f+qvySEEA1RsBF2/qPm9WlOGoklJSEl7PXmos3BcbY9JXvCzo1OGcj0Vc/AN7nhNxl6XXB6/82je5PgdmZTul0GuwvLZIq/EM0kbuvYtNYaCKxGdfu/dO1XCNFEW5aAHVLncfA1Te6GDOjSLrzocGCcbVfxLjYXbQ47N8BW/k1OQ5iesAojgdmU6/ccY1dhGW/mHQx7u4ytCXH64jrGppQylVJ5QBHwvtZ6g//UE0qpz5VSzyqlYv4JVkrdq5TKUUrlHDnSuHJIoo2KHF+raL49y6YNmBY1zrb+0PqoCSMmMDVtjBNkynS+Z90FM1dEheyYvqmkJnmiQk0hY2tCNEVcg01rbWmtM4HewFil1HDgV8BQ4CKgM/BgLdc+r7XO0lpnde3aNZ6PKVqLyEXY+9c73ZPNINbsyP1l+8MnjGjNw0eOk7l2AVz7FEx+2Am0Kc/W2nJcue1Q1DHp1hCiac7IrEitdQmwBrhWa31IO6qAhUDz9BUJMfJWp5UUoG3Y+1Gz3X7W8FkYtfyRMYC5R48z/eRJsKrg8Ba49Of1doVe0KNjzOO3/GkdSzbsj3lOCFG3eM6K7KqU6uT/uR1wJbBDKdXDf0wBNwLb4vUMoo3JGAsX/0fIAQ2VJ5rt9pnpmfROju4iNFDMPXKc6SdPhX92A5RV+Wo9N3fZ1gZvaCqEqBHPFlsPYLVS6nNgE84Y23LgFaXUVmArkAbMj+MziLYmsSNhu2V/+sdm647Mzs9mf1l0K+rOklKnpRagzJgbh0aKtZFoKBt4auX203lUIdq0eM6K/BwYFeP45Hh9phD0uxQME2x/S8i2nNmSTZwdmZ2fzePrH4957vMEd80LZcTciiZS5Eaitdm0t5h+c1aw96nrG/vIQrRZUnlEtC4ZY+G634eMtWn4bEmTWm2BUNOxuhe1ZnNiInkJCWC44PpnY25FEylyI1GXoXjjxxfTub0n5vv7zVlxuo8vRJsj+7GJ1idrpjN5I2choJ01ZafRassrymPhtoWsLlgdHWr+LWlQCq01Ob2GkTnpdw36jNx9xWTXspFon9R2HD9VXcfVQoj6SItNtE4jbwUz0EWoIfevznY2DZSdn83MlTP5oOCDqFBzAReXV/hv7ZxLGXx9g0NtwaqdwdaaAixb89CyrfSbs4K8A6V130AIUS8JNtE6ZYyFUbfXvNYWvPvzBnVJBir1W1hhxxWKyckDWXjoCBdVVTt/eJTCUAal7TvXe9/7X/2MW/60jo92OTtuQ8PXrMkYmxAN16BgU47blVKP+l/3UUrJ+jPRso281Rn3CghMJKlDINRCF14DmBg8kjSEP2xdS2ZlBVmVlbi0RgEuw01Wt6w673v/q59FVRipjwKevGmEhJoQjdTQMbb/hzP7eDIwDygD3sCpHiJEyxSYSBLceNQ/kWTkjLBuwzkfzuG9r9+LaqGB00qblDaSWV+sJrP8fcLbWCrq/QBPvbudN/O+ofBE1WlXEbmoXypzvj1MqvsLcRoaGmzjtNajlVKfAWiti5VSsadvCdGSBCeS/J/z2vI61Uj8wTbnwzms+Dr2jEMDg7nj5zJ91zooP0loqOW0S6LacIKt2q7myQ+W8+CEvrz06d5Gt8xCdU9O4H9vHyOBJkQTNDTYvEopE/+fbKVUV4joqxGipeo+MuSFDd9shoKNXLTmJ1TalTEvCYZa2SnIXUwg1PISk7g/vQfHlBd0TdRtPfUa33t+dNjWMw1x9fndSEtO4JbRvSXMhGgmDQ22/waWAelKqSeA7wBz4/ZUQjSnimPOwmnt/2+xHSsYc2oz1a7Y//gHNwrd9Qnk/hWtLbYkeHg4rTP73R40NVvjKOVMjDQMGhVqLgN2PyljZ0LEQ4OCTWv9ilIqF7gCZ2DhRq211PoR54Z+l4KZAL5KQJOX4KbaMGO+tZunE/+VOJDM9/8LbVXzbKeOvNuhPYWumverGENrWoPLVBhK4fXZdY6tPXnTCNlEVIg4qjPYlFKhc5iLgL+FntNaH4/XgwnRbDLGwp1vwycLYMcKFnZMjjnv4+LU83nu87Xg20pegpsFXbuSmxiyXaA/0XSM1BppPswv7p0AwPo9xxjfvwtj+qayZMN+Hlq2Nfg+CTUh4q++FlsuzjCCAvoAxf6fOwH7gfPi+nRCNJeMsdBrDHl7/8WapKSa41qDUlycej4XlRwmO9Fke0In3urQnupA00wpZzxNh19maEgyM5g96ld878JLg+dCx8pmjOsjQSbEGVZnsGmtzwNQSv0ZeFtr/a7/9bdxtqER4pyRl9qDx7qkYitqBscAj2Wz7tg2PlUKnRYygSMi0CxfEoay6Ooaxe8nPS2TPYRooRo6eeQirfWPAi+01iuVUrFLnQvRAmXnZ/NE7tNYHnfUucC0fR0Iu7BAM7C9HfCdyOS6Xvew4PtRG1YIIVqYhgbbUaXUXOBlnK7J24FjcXsqIZpRzGoiof2KgS5HXVPnSmsX3pIxpNrjuWP0t4JjZkKIlq+hwXYr8BjOlH+AD/3HhGjRokItcuZHRKh1OnYhRXZPRqVn8cubr5EwE+Ic1NDp/seB++L8LEI0q7yiPJ7c8GRYqCmgi2Vx1DTDxtkAsBTd2/+UBVLKSohzWoOCTSm1mhiFyGU3bNFS5RXl8actf8LS/p20tcYA7iw5wV87dQx/s9Yo2yb5yB/JnnPxGX9WIUTzamhX5C9Cfk4EbgF8zf84QjRddn42T254EktbzloVrTG15qFjxZSaplPq2N9aMzW8+E0Rt5xcxJybBp3lJxdCNIeGdkXmRhz6RCm1Ng7PI8RpyyvKY0HuAnKLav5xVRomVFTy45JS7kxPwzb8OzX5uyD7ViRyy8lFpLRzyXozIVqJhnZFhlYgMYAxQPe4PJEQjZBXlEdOYQ4nqk6w+IvFUfuoGWjWJXhY1z09vBaWf0r/LlcHAB68dtiZfGwhRBw1tCsytAKJD/gauDteDyVEffKK8njnq3d4c/ebeG0vOlZ1Ro3T7WiE7KcbnAXp/ANtlV0gZa6EaGUaGmzDtNZh+3sopRJqe7MQ8RQ+hlZLueFY69TCjitM5Wbbz/83bs8phDg7Ghps64DREcc+jXFMiLgJtNLe2PUGlo6923VU0MUKNa1o705m/e3r4vi0Qoizpb7q/t2BXkA7pdQoamqidwSSar1QiGYQGD9L8aSw4/iOmN2OJiY3D76ZYZ2HUVpdyh82/6GmLBZELch2Wxab75Ydl4RozeprsV0DzAR6A8+EHC8DHorTMwkR1d0YqzXmUi4eGvcQ04dMdw4UbOQ5n49K04wON62580Q5v7h/75n9RYQQZ1x91f0XA4uVUrdord84Q88k2rDauhsDoaZQuA03Nwy8gWkDppGZnllz7Y43qDL9G4KGdEGaVgdevOo9qSYiRBtRX1fk7Vrrl4F+SqnZkee11s/EuEyI01LXpBADA5fhihloATm+E85VEaWyZgycJ6EmRBtSX1dke//3DjHO1TIdTYiGiRxDizUpxKVc3HH+HXRM6EhWt6yYgRaQcvKo84M/1Lr5fDxYWM1VM6+J2+8ghGh56uuKfM7/4yqt9Seh55RSE+P2VKLVq28MLTAppLbWWSylVSXOD/4W2zGXi9eti7kqHr+AEKLFauh0//8hemp/rGNC1Km+MTSIMSmkgd47ccyZq+ufOOLTGnf7rsAAiAAAIABJREFUPc316EKIc0R9Y2wTgIuBrhFjbB0BM54PJlqPQJgdrTjKx998HLNSSEPG0Opy1+N/5KuelYBRM8amNX0rZVWKEG1NfS02D874mgtIDjl+AvhOvB5KtB7Z+dk8sf4JLKIXVEPjxtDqMkStYJNphB1L0JqfV31C2dyu7PzBTplAIkQbUd8Y21pgrVJqkdZ63xl6JtEK5BXlsXDbQlYXrI5qndU1Zf90Hezgr/gWMiNyxomTKAUdzGoGvzCYfr5FAOx96vomf54QouVq6BhbuVLqd8AFOPuxAbLRqIgtOz+b+evnR1XaB6eFdtOgm5ot0AIuGf9tPtjx12CoXVxeweySUvDnXHujOvjefnNWSLgJ0Yo1NNheAV4DpgA/Au4EjsTrocS5K68oj8fXPx6zlTYpYxKzhs9q1kAL+Lj8m7BKI72s2F2fQojWr6HB1kVr/aJS6r6Q7sk6NxpVSiUCHwIJ/s95XWv9mFLqPOBVoDOwGbhDa11d+53EuSKvKI8HP3wwZqg9Mv6RRs9ybMznrilYU+d7bK3qPC+EaD2M+t8CgNf//ZBS6np/QeTe9VxTBUzWWo8EMoFrlVLjgd8Cz2qtBwHFyL5urUJeUR6z3pvFwVMHo87FM9QAFm5bWNPtqTWGhmknTwVeAvBd32PB90s3pBCtW0NbbPOVUinAz3HWr3UE7q/rAq21Bk76X7r9XxqYDMzwH18M/Br4U6OeWrQ4C7ctxKd9UcdnXTArrqE2YvGI6IO2xcjK6mC7cbPVn816MCChJkRb0KAWm9Z6uda6VGu9TWs9SWs9BhhQ33VKKVMplQcUAe8DXwElWgf/DXgAZ1ucWNfeq5TKUUrlHDkiw3ktWW1dgbMumMXsrKgSo80mZqgBtn/HbFvDGmsEt/jmAxJqQrQVDW2xxTIbWFDXG7TWFpCplOoELAOGxXpbLdc+DzwPkJWVJXUpW6i8ojweW/dY2AzIeI+phQndnib4+aCUgXnPP5iUMZa98X8KIUQL0pRga/BovNa6RCm1BhgPdFJKufyttt5A9KCMOCcExtUiuyAnZUw6M6EWKqSa/8zSkzDlWcgYe2afQQjRIjR08kgsdbailFJd/S01lFLtgCuB7cBqaqqW3Am81YRnEGdJoKUWGWomJrOGz4rvh+cs4qIXR4AdsU5Oa2aVnGD2Jb+BrJnxfQYhRItVX63IMmIHmALa1XPvHjiblJo4Afp3rfVypdSXwKtKqf/f3p2HR1nd/R9/f2eyQYAgARGEilZxjaQSKGIXqxW7aC1WtNbHharYVqw+WFuqLUZq++OyFi3try1aFTcsTWutxVZxq4rWQqCDoSJWcQkFgSCEJZBl5jx/3DNhksxknS2Zz+u6cmXuJTPf3Obywzn3uc+5FfgXcE/Xy5Z0ivcAtmHcNOmmpDyn1vzZy2Yx979Pgd9o3WlwdGMjs3JHKNREslxHU2oNbO94Bz/7GvCxGPs3AOoj6qUq1lfEfQA70ffV2gwOCYW8+2mRe2qt7q3t9Pnh499M2OeLSO/Uk3tskmUiLbWUh1rk/lmsQIu6t/aFwceqtSYiPbrHJlkk0lJr3f3ow5fwUAusXQwhWgZa9Bc0L0sDQDDI9MM+z6zzHk1YDSLSe6nFJu1qb5b+00aflpC5HyOf8Vz1c16g4dofcxsVeMl+Vk5Eeh8Fm8QUCZu/V/895iz9p40+jZ+f9vMef86khyaxN7g3PEQpKtDidDc2M6Pq0qoef76I9D0KNmmjM4uD9mhIf/UK5r88l/v2vQcWff+snTBr3vbh88EahZqIxKFgkxbijXoE737aqaNP7V73Y/UKePclArve4daNT7M+P7dt66xVmI3fX89HGxs5e08dpWPPga/c3Y3fSESyjYJNmgW2BmKOeuxxoK15BP71EBX98ri1+CBC+bnesViB5hz+kI9FR11I6adu7MFvIyLZSsEmzVos/xJ2RNER3NLQj9IXF8GLi7yd5bUtzvnEQx+nNlhHUVMTy6s3UTGgkIcGD2a/z8+Ihn0UhUK8fOgw6sOTE8cMtJBjshWw8LO/1lRYItIjCjYBvC7I56ufb7HPh49bauspfefvLU8uL4Kc/hDczydGjaLW7wVUrd9P6eiRBP3+8ImOTQUFLX+2dag5I8cH/zrjXgWaiCSEgk2oWDaLH21+ukUHpDnHD2q28bv8XXzzI4cyJBhk0v56jqlvYF1+HgYcU2/U+kJA+Pky5w6EmsUZrx8ONB/wg5FTmDZlfhJ/MxHJRgq2LBf42RHMLe7vbYTDCaC4qYlfHFTEjnBQ7fH5eD83F6InWYs14VrUe8Qcpg/0D4ZY+PEfUHrC12IeFxHpCQVbNvvpWC4pDncVtmph1eRE/Wm0fqYsujsx+libUDOODvk5tP/BvFq3mToLMdKXy1OXBxL/u4iIhCnYslX1CgJNO3C+4S33xwqtuM+UxTgGTD/h6wzKH0TZ8LKkzvQvIhKLgi0LBdYu5s7lN7PqkIO9HfFm+Yh6PTAY5PN1+w7cY8vtzzFFR7Ku5jUqCvt77+Hz8eDnH1SYiUhaKdiyTGDtYi6u/AkU5Lc8EBViZsbh9Q0cFAqxMSeHL+zZy6zr3o/7nnOSVayISDco2Pq4yFyMBb4Criq9il+sDs/vGKOVdnRDIz+YfLMGdYhIr6Zg68OaJxgG9of28/PV7Uxa7Bx/OPyroFATkV5O67H1YZFQa6H1SMZIF2QoBGfckprCRESSSMGWLVqvQh29Lxik6vJ1qa9JRCQJFGzZovVMINGhNu57qa9HRCRJFGzZzDkv1MouS3clIiIJo2DroyrWV5BDeCaQ6C9oeV9NoSYifYxGRfYxgRd/wrf+8wi7/THmaWx1f0331USkL1Kw9XKBtYu5c+29vNm4A19jA7U+B5FVY2LNsB9prfnUWBeRvknB1osEtgb4y9t/weE4dvdO5lY/DdEts0hWxZsiyzsIBlWXViW7XBGRtFCw9RKBrQGm/+1imqKDqjMtM/Dupfn9DPT341dT7tJcjiLSpynYeonH/3a1F2rxloyJtfaZMybnDmHhp3+q1alFJGso2HqJx4I72t4Xiw4zM4rwURsMNbfkqi5Td6OIZB8FWy8QWLuYxuhQi3q4Gp9Py8WIiERRsGW68iIuGT0S/P62w/VDI2DcJXoWTUQkioItk5UXceahh+D8/rbHnA+ufC71NYmIZDgFWwabXTyETbm53oZZi3tqD078fpqqEhHJbHpKN0MF1i7miYGF3kZUqPlCIR4su1GLgYqIxKEWWyaqXsGdy+dAQUGL+2p5wSCrNA2WiEi71GLLQPP/cimrCgoO7Ai31mbnHJKmikREeo+kBZuZjTaz581snZn928yuDe8vN7P/mlkg/PWFZNXQGwXWLmZR//BgkaguyOl1QaZd+nwaKxMR6R2S2RXZBFzvnFttZgOBVWb2dPjYHc6525P42b3WX5bfiivwteiCLAoGmfUtdUGKiHRG0oLNObcZ2Bx+vdvM1gGHJuvz+oLA1gCP5Ycb0VFTZhWqx1hEpNNS8n9MMxsDfAz4Z3jXTDN7zczuNbOD4vzMDDOrNLPKbdu2paLMtKvcUkmD0WZS4xxfbnoKEhHphZIebGY2APgjcJ1zbhfwa+CjQClei+5nsX7OOXeXc67MOVc2bNiwZJeZftUr2PXKggMrXUeFW33BoDQWJiLSuyR1uL+Z5eKF2sPOuUcBnHNboo7fDSxNZg2Z7syHJrOpsdbbyDeg9Yz9xheO+nI6ShMR6ZWSFmxmZsA9wDrn3Pyo/SPC998ApgJrk1VDylUugqXXttw3cjzMCE99NXcohBqbD00aPZK9reeAjF6WBphceBizymYlsWgRkb4lmS22U4CLgSozC4T33QhcaGalgAPeBa5KYg2pEyvUADatgjtKYPfm5lAL5Odx09AhXqhB24VCI0P8B4xl1nmPJrFoEZG+J5mjIpfTol+t2V+T9Zlpte7P8Y/Vvg9AxYBCfls0iE25UZe9VQstoiAYVKiJiHSDptRKlGPPgbdjz7YfyM/jpuIhvJ8XNboxVqCFXxeGQryqqbNERLpFwZYoZZe16YqsGFDIQ4MGsqEzgebzUXVZ37ndKCKSLgq2RCqbDpX3ATB/cBH3DY4aph8j0EY2NXHFzl1Mu+AxGD0xlZWKiPRZCrZEqryP+YOLeGxgITtiDQwJh1pRMMi1O2qZVjAKvvNGGgoVEem7FGzdUV504PVZP4d/PQDBhk610kr217P4g61QXpuiYkVEsouCrauiQw1a3FdbNHqk9yI60KJeT887lFmXLUtBkSIi2Uuz63ZF5aK4hz4zagQu0v0YaaE1LztjHDH4SGZdpFATEUk2tdi6Is6zaoH8PGri3VMzo9BfyJ+ntvOcm4iIJIxabF1x7DltdlUMKOTiEcNjzx5ixuQRk3n1f15NUYEiIqJg64qyy6DgwCo7gfw85g4d4m2YHeh6DIdaSXEJC6csTE+tIiJZSsHWVbPfhaKPAHDx8PByOq1GP5rzWmqLz1qchgJFRLKb7rF1VfUKGFHCmQMawBfj3wXO8dpn79UD1yIiaaJg60jlIm/QSP+hsHkN1LzJ/MGD2BR5Xq3VvTXz+RRqIiJppGBrT5ylaBYVDfRetH4A24wfTpqTmtpERCQmBVt7lv+sza75g4twMVa5xmDOpDlMO3pa6uoTEZE2FGzxPH0z7Hy/xa6KAYUHpsyKtNbC36surUpldSIiEoeCLZbqFfDKAgL5edxXNJA3cvMA2JITe8XrOep+FBHJGAq2WP50FRWF/Q48o9aO6cdPV/ejiEgG0XNsrT0wlcDejW0fvI7+CispLmFW2aw0FSoiIrEo2Frb8BzfGVbsvY612nVYSXGJHsAWEclACrZo1Sv42iEHsyWn4x5ahZqISGbSPTbwBouseYT5bz1K1eCoZ9QiLbXwiP4IjYAUEclcCranb4ZXFoAL8eyhI7x9kVALf592zPnMOVkjH0VEeoPsDrafjoW9W5o3RzU28n5uTotQy/Hl8qWPfimNRYqISFdk7z22X05sEWqB/Dz+0b+ftxG18vWZY86k9ODS9NQoIiJdlr3BVrO+xeZ9gwbioOWMIgZPvPMEga2BlJcnIiLdk73BZi1/9Tfy8g5sOOcNGAm7aflNKSpKRER6KnuD7YTzWmwWxHhWLeKDvR8kuxoREUmQ7A22r9wNR5zWvPk/u3Z7L5qXoDlwaigUSmFhIiLSE9kzKrK8qN3D0/bsBWBu8UFtJjluookzK87kqWlPJa08ERFJjOwItg5CLeKoxkbygAY4MOQ/bFPdJq599MtMX/8ypfUN4fetTXipIiLSM9nbFRlDZUEBjdETHUffd3OO53a9xfRDhhPIDw806WRgiohI6ijYopTt34/fuZatteZ7bl7gNZn3aECz8sGpL1REROLKjmDrZJdhaX0DN27fQQ5grVpr0a235wr7UzGgMHIQbul43TYREUmN7Ag28MKt5Hzw57d72rQ9e7lv8xZO3rffuzitBpJEtucOHXKgS9IFE1+viIh0S9KCzcxGm9nzZrbOzP5tZteG9w8xs6fN7D/h7wclq4Y2vnI3/HArXP50u6eV1jfwzZ215DmH3zlymmf5j+qWBL598NDwtj9ZFYuISBcls8XWBFzvnDsWmARcbWbHAbOBZ51zRwHPhrdTa/TEDk8prW/g7g+2MnNHLVPDjwK0br3t8PupGDgQbv4wGVWKiEg3JC3YnHObnXOrw693A+uAQ4FzgPvDp90PfDlZNbSr6CPtHPQCrLS+gStqd/GlPXvbzkwSHkzy0EfHJ69GERHpspTcYzOzMcDHgH8Cw51zm8ELP+DgOD8zw8wqzaxy27ZtiS/qf6ugcHicgy1DrLS+gbvzj+Tak65tc+aG2g2Jr01ERLot6cFmZgOAPwLXOed2dfbnnHN3OefKnHNlw4YNS05xN7zpDSjphNKxU1kYWJicOkREJGGSGmxmlosXag875x4N795iZiPCx0cAW5NZQ4e+cjecch30H9ruaRV/v5H9wf0pKkpERLormaMiDbgHWOecmx916HHg0vDrS4E/J6uGTjvjFvju23DWz2MeDuTncevQIbToogzfc6u6tCoFBYqISGclc67IU4CLgSozi6zUeSMwD/i9mV0OvA9MS2INCfH4gEJC0GY2kpymprTVJCIisSUt2Jxzy2mx+EsLpyfrc3tkXezGY8xfwjlu3FHrzRepyZBFRDJG9sw80hnHnhNz99mR59iih/ybMXfoEM4bOZwf/WIMgf+XpAEuIiLSJQq2aGWXxXwEoLS+gYOCUdNmRa0AsD4vj98PHMAlI4Yr3EREMoCCrbUb3oShRx/YzvUmO16wtablZMiRFQDCXw64aagmQxYRSTcFWywzV3j3zcprYdgxgNdq++KeOu94rGVtgPdzcmDemBQXKyIi0RRs7bnrNNi0qnlz3vYP+eLuGPfbIswoGdYvRcWJiEgsCrb2fLCmza552z9kTs2H3kjJ6JZb5LvfT8X9n0lZiSIi0pKCrT2HjIu5e9qevfywJjyjf6uRkgDzgluSXZmIiMShYGvPjOdgZOzZ+6ft2ctpe+sO7IgKuAafj4pls5JdnYiIxKBg68iM57xBJDEWJ52+azd5jpittrkbn0xRgSIiEk3B1lmjJ3oB58tt3lVa38A9H2xhZGOMqbUs3qQrIiKSTAq2rppT06IFV1rfwCn7Neu/iEimULB11+iJYN5Um3W0faZNRETSQ8HWXU/fDK6J2cVDeGJAf2+fuh9FRNIumcvW9F3VK2DlPV6oDSxMdzUiIhJFLbauevpmuOcMaNjNC4XhWUaiJkUWEZH0UrB1xR+vhJfvbN48NNZoyAifLq2ISDro/76dVbkIqn7fYtfkfeHRkNGDRjSAREQkrRRsndVqde2KAYUsGjzI22jdDekcVZdWpagwERGJpmDrrPdebX5ZMaCQW4cOwUHLUAu31qaHNKBERCRdFGydcUcJNHnzQkZCLQReqEUvPAoQDDLr8hVpKVNERBRsnVP7PhAn1KJbbMEgVZevS0uJIiLiUbB1UruhFm6tPXj2I2mrT0REPAq2jjwwlUB+Hj/pINSm79xF6cGlaStTREQ8Crb2VK+ADc9RWVBAEFreU4OW99Wuez8dFYqISCsKtvY8ciEARcGgNwIyEmStRkJWVW9KeWkiIhKbgi2eykVQVwPAG/l53r44U2cFvvVCCgsTEZH2aBLkeJ4pb35Z44+T/+Ggq9xSqftrIpJQjY2NbNy4kf1a75GCggJGjRpFbm5uxyejYItv/w4mjR7JXp8PQqF2Ty0bXpaiokQkW2zcuJGBAwcyZswYLIsnWXfOsX37djZu3Mjhhx/eqZ9RV2Qc40ePZK/f77XK/P62JzgHzjF5xGS11kQk4fbv309xcXFWhxqAmVFcXNyllqtabDHMfnE2Df4cwLW/HI1zLJyyMGV1iUh2yfZQi+jqdVCLrZWK9RU88c4TtAi11jP2R7Y76KIUEZHUU7C18qvAr9pOlRXrXwvOUTXl/tQVJiKSYn6/n9LS0uavefPmxTxvzpw5PPPMMymuLj51RbZSU1cDnW31jp6Y1FpERLpi1Xs7eHXDdiYdUcz4ww7q8fv169ePQCDQ7jnBYJC5c+f2+LMSKeuD7WtLv8brH77O0H5Dub3/MUCINskWYwqtL+7Zl9I6RUTas+q9HVz021dpaAqRl+Pj4SsmJSTcYhkzZgxf//rXWbZsGTNnzuTJJ5/krLPO4rzzzmPlypVce+217N27l/z8fJ599lkGDhyYlDriyepgO+dP57Bh1wYAttRt4eI9H1AUClHr97ecZaT1VFrBIPOu2ZCGikVEYnt1w3YamkKEHDQ2hXh1w/YeB9u+ffsoLT0w6vv73/8+F1xwAeA9W7Z8+XIAnnzySQAaGhq44IILWLJkCRMmTGDXrl3069evRzV0R9KCzczuBc4CtjrnTgjvKweuBLaFT7vROffXZNXQnquWXdUcas0ML9Sat1sNHnEOQiEtTSMiGWfSEcXk5fhobAqRm+Nj0hHFPX7P9roiIwEXbf369YwYMYIJEyYAMGjQoB7X0B3JbLEtAn4JPNBq/x3OuduT+Lkdmv3ibF7Z/ErLnZHuxtbzQUZNdFxVvQnKa1NXqIhIJ40/7CAevmJSQu+xtaewsLDNPudcRjyikLRgc869aGZjkvX+PfHCxjhzO7YeDRkOtcJgkFfVShORDDf+sIOSHmjtOeaYY9i0aRMrV65kwoQJ7N69m379+pGTk9q7XukY7j/TzF4zs3vNLO5/ATObYWaVZla5bdu2eKd1y6G+glgfeOB1eFaRyH6Fmohko8g9tsjX7Nmz2z0/Ly+PJUuWcM011zBu3DjOOOOMtMx1aa71w8eJfHOvxbY06h7bcKAGcMCPgBHOua939D5lZWWusrIyMUWVF1ExoJC5Q4dEF9rynHCw+Xw+1lxalZjPFRHpgnXr1nHsscemu4yMEet6mNkq51ybyXpT2mJzzm1xzgWdcyHgbiC1D4KVFwFRA0SiRzxGt9IAQiGFmohIL5TSYDOzEVGbU4G1qfz8iLJI07j1kP6ofUP7pa+fWkREui9pwWZmjwD/AI42s41mdjlwm5lVmdlrwGeA/03W57entL6h7fyP0KJLsqZhFyX3qBtARKS3SeaoyAtj7L4nWZ/XKeW1zd2R/pAj6I8xLDW65eb3U3Lf8eT6crj38/dreRoRkV4g+yZBLq+FnP58ri48JVa8wTORgDOj0QW5+G8XU/HqbampUUREui37gg3gB5uZd807+INBb7u9cIsaYDL3jQcIrF2cujpFRKTLsjPYwgIbt3R+TbVwC65yw1NJrEhEJHOYGddff33z9u233055eTkAv/nNb3jggdYTS2WGrA42bv6QL9a1GiEZT/h42RFnJrkoEZFuql4BL/3M+54A+fn5PProo9TU1LQ59o1vfINLLrkkIZ+TaNkdbMC8mRsoyhvsbcRaKTv6+bZgkNI/fDO1BYqIdEb1Crj/S/Dcj73vCQi3nJwcZsyYwR133NHmWHl5Obff7k37+9Zbb/HZz36WcePGcdJJJ/H222/jnOOGG27ghBNOoKSkhCVLlvS4ns7K+mADWP615Yz09/c2WodZ5HVkEmRoHlkpIpIx3n0Jgg3ggt73d19KyNteffXVPPzww9TWxp8A/qKLLuLqq69mzZo1vPLKK4wYMYJHH32UQCDAmjVreOaZZ7jhhhvYvHlzQmrqiIIt7KmLVzBn8Me8e27RYfbeRu8rEmoRd52WnkJFRGIZ80nw54H5ve9jPpmQtx00aBCXXHIJCxYsiHl89+7d/Pe//2Xq1KmAt05b//79Wb58ORdeeCF+v5/hw4fz6U9/mpUrVyakpo5k9UKjrU0bdTrTAo937uQP1iS3GBGRrhg9ES593Gupjfmkt50g1113HSeddBLTp09vcyzefMPJnIe4I2qxRdxRAkuv7fz5h4xLXi0iIt0xeiJ88vqEhhrAkCFDOP/887nnnrZzbAwaNIhRo0bx2GOPAVBfX09dXR2f+tSnWLJkCcFgkG3btvHiiy8ycWJqpgdWsAH8ciLUvt/xeflFXjN/5HiY8Vzy6xIRyRDXX399zNGRAA8++CALFizgxBNPZPLkyXzwwQdMnTqVE088kXHjxnHaaadx2223ccghh6Sk1qQuW5MoCV22JpbywXgr6XRAgSYiKaJla1rK2GVrMlb/4s6dtzmQ3DpERKTHFGzVK+C4L3Xu3AHDk1uLiIj0WHaPiow80Bhs6Nz559+f3HpERKTHsrvFFv1Ao4iI9AnZHWzRDzR2xj1nJLceERHpsewOtsgDjUd/Pt2ViIhIgmR3sIEXbo116a5CRCQj/fjHP+b444/nxBNPpLS0lH/+85/pLqlD2T14JOLYc+DtTjyfVh5/ElARkXQLbA1QuaWSsuFllB5c2uP3+8c//sHSpUtZvXo1+fn51NTU0NDQycF2aaQWG0DZZXDWz8GXG+OgwdCjFWoiktECWwNcuexKfrH6F1y57EoCW3v+3O3mzZsZOnQo+fn5AAwdOpSRI0cyd+5cJkyYwAknnMCMGTOa54U89dRT+d73vsfEiRMZO3YsL73krTCwaNEizj33XD73uc9x1FFH8d3vfrf5M5YtW8bJJ5/MSSedxLRp09izZ0+P61awRZRdBnNqvAC7/Gk4fY73vXwnzEzMon0iIslSuaWShmADIUI0hhqp3NLz2ZqmTJlCdXU1Y8eO5Vvf+hYvvPACADNnzmTlypWsXbuWffv2sXTp0uafaWpqYsWKFdx5553ccsstzfsDgQBLliyhqqqKJUuWUF1dTU1NDbfeeivPPPMMq1evpqysjPnz5/e4bnVFxjJ6YsInERURSaay4WXk+fNoDDWS68ulbHibmaa6bMCAAaxatYqXXnqJ559/ngsuuIB58+YxcOBAbrvtNurq6vjwww85/vjjOfvsswE499xzARg/fjzvvvtu83udfvrpFBV5a1ked9xxvPfee+zcuZPXX3+dU045BYCGhgZOPvnkHtetYBMR6QNKDy7l7il3J/QeG4Df7+fUU0/l1FNPpaSkhIULF/Laa69RWVnJ6NGjKS8vZ//+/c3nR7ot/X4/TU1NbfZHH3POccYZZ/DII48kpNYIdUWKiPQRpQeXckXJFQkLtfXr1/Of//yneTsQCHD00UcD3v22PXv28Ic//KHb7z9p0iRefvll3nrrLQDq6up48803e1Y0arGJiEgce/bs4ZprrmHnzp3k5ORw5JFHctdddzF48GBKSkoYM2YMEyZM6Pb7Dxs2jEWLFnHhhRdSX18PwK233srYsWN7VLeWrRERyUBatqYlLVsjIiJZS8EmIiJ9ioJNRCRD9YZbRanQ1eugYBMRyUAFBQVs374968PNOcf27dspKCjo9M9oVKSISAYaNWoUGzduZNvgSrAjAAAFbklEQVS2bekuJe0KCgoYNWpUp89XsImIZKDc3FwOP/zwdJfRK6krUkRE+hQFm4iI9CkKNhER6VN6xcwjZrYNeC/ddaTIUKAm3UX0Urp23adr1326dt3X02t3mHNuWOudvSLYsomZVcaaIkY6pmvXfbp23adr133JunbqihQRkT5FwSYiIn2Kgi3z3JXuAnoxXbvu07XrPl277kvKtdM9NhER6VPUYhMRkT5FwSYiIn2Kgi1DmNk0M/u3mYXMrCxq/xgz22dmgfDXb9JZZyaKd+3Cx75vZm+Z2XozOzNdNfYGZlZuZv+N+lv7QrprynRm9rnw39ZbZjY73fX0Jmb2rplVhf/WKhP53poEOXOsBc4FFsY49rZzrjTF9fQmMa+dmR0HfBU4HhgJPGNmY51zwdSX2Gvc4Zy7Pd1F9AZm5gf+P3AGsBFYaWaPO+deT29lvcpnnHMJf7hdLbYM4Zxb55xbn+46eqN2rt05wO+cc/XOuXeAt4CJqa1O+rCJwFvOuQ3OuQbgd3h/c5JmCrbe4XAz+5eZvWBmn0x3Mb3IoUB11PbG8D6Jb6aZvWZm95rZQekuJsPp76tnHLDMzFaZ2YxEvrG6IlPIzJ4BDolx6Cbn3J/j/Nhm4CPOue1mNh54zMyOd87tSlqhGaib185i7Mvq51vau47Ar4Ef4V2jHwE/A76euup6Hf199cwpzrlNZnYw8LSZveGcezERb6xgSyHn3Ge78TP1QH349SozexsYCyT0Zmum6861w/sX9Oio7VHApsRU1Dt19jqa2d3A0iSX09vp76sHnHObwt+3mtmf8Lp2ExJs6orMcGY2LHyTGjM7AjgK2JDeqnqNx4Gvmlm+mR2Od+1WpLmmjGVmI6I2p+INypH4VgJHmdnhZpaHN1Dp8TTX1CuYWaGZDYy8BqaQwL83tdgyhJlNBX4BDAOeMLOAc+5M4FPAXDNrAoLAN5xzH6ax1IwT79o55/5tZr8HXgeagKs1IrJdt5lZKV532rvAVektJ7M555rMbCbwFOAH7nXO/TvNZfUWw4E/mRl4ObTYOfdkot5cU2qJiEifoq5IERHpUxRsIiLSpyjYRESkT1GwiYhIn6JgExGRPkXBJpJAZrYnye//2/DkzpjZjd34+TFmpufTpE/TcH+RBDKzPc65AZn6WWY2BljqnDshKUWJZAC12ESSzMwOM7Nnw5MLP2tmHwnvX2RmC8zsFTPbYGbnhff7zOxX4TXmlprZX6OO/d3MysxsHtAvvJbVw61bYmb2HTMrD78eb2ZrzOwfwNVR5/jN7KdmtjJcmx7Ilj5BwSaSfL8EHnDOnQg8DCyIOjYC+ARwFjAvvO9cYAxQAlwBnNz6DZ1zs4F9zrlS59xFHXz+fcC3nXOt3+dyoNY5NwGYAFwZnnpMpFdTsIkk38nA4vDrB/GCLOIx51wovDjl8PC+TwAV4f0fAM9394PNrAgY7Jx7IerzI6YAl5hZAPgnUIw3n6ZIr6a5IkVSL/rGdn3Ua2v1vSuaaPkP1YKo94p3I92Aa5xzT3Xj80QyllpsIsn3Ct7M7wAXAcs7OH858JXwvbbhwKlxzms0s9zw6y3AwWZWbGb5eF2bOOd2ArVmFmklRndbPgV8M/IeZjY2PNO6SK+mFptIYvU3s41R2/OBbwP3mtkNwDZgegfv8UfgdLxlPN7E6yasjXHeXcBrZrbaOXeRmc0Nn/sO8EbUedPDn1+HF2YRv8W7l7favGnWtwFf7tRvKZLBNNxfJAOZ2QDn3B4zK8ZbQ+6U8P02EemAWmwimWmpmQ0G8oAfKdREOk8tNhER6VM0eERERPoUBZuIiPQpCjYREelTFGwiItKnKNhERKRP+T850+5/t6yi0gAAAABJRU5ErkJggg==\n",
            "text/plain": "<Figure size 504x504 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Examining Flight Speed"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.639701Z",
          "start_time": "2019-11-30T04:08:20.396707Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "ix = birddata.bird_name == 'Eric'\nspeed = birddata.speed_2d[ix]\nplt.hist(speed)",
      "execution_count": 12,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Miniconda3\\envs\\edx\\lib\\site-packages\\numpy\\lib\\histograms.py:829: RuntimeWarning: invalid value encountered in greater_equal\n  keep = (tmp_a >= first_edge)\nC:\\Miniconda3\\envs\\edx\\lib\\site-packages\\numpy\\lib\\histograms.py:830: RuntimeWarning: invalid value encountered in less_equal\n  keep &= (tmp_a <= last_edge)\n"
        },
        {
          "data": {
            "text/plain": "(array([1.7732e+04, 1.5020e+03, 3.6900e+02, 7.8000e+01, 1.2000e+01,\n        7.0000e+00, 3.0000e+00, 2.0000e+00, 3.0000e+00, 2.0000e+00]),\n array([ 0.        ,  6.34880658, 12.69761316, 19.04641974, 25.39522632,\n        31.7440329 , 38.09283948, 44.44164607, 50.79045265, 57.13925923,\n        63.48806581]),\n <a list of 10 Patch objects>)"
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYMAAAD4CAYAAAAO9oqkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8li6FKAAATKUlEQVR4nO3df6zdd33f8edrdpNRShSH3ESunc4GGdaAigNWSMVAKWkSJ61wmMpmq2pcGsmAEgnUSsNZpYXRRQpbKV00lsoUN44EMSlpFouaBtdjRZVI4mtiEpuQ+ia45GLPvhB+bVTZHN7743zu+GKfa1/fc33PvfXzIR2d7/f9/Xy/532Sk7z8/Xy/5zhVhSTp3PZPht2AJGn4DANJkmEgSTIMJEkYBpIkYPGwG5ipiy++uFasWDHsNiRpQdm7d++3q2rkxPqCDYMVK1YwOjo67DYkaUFJ8vf96k4TSZIMA0mSYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRLTCIMkW5McS7K/U/tMkn3tcSjJvlZfkeQfOtv+pLPPm5I8lWQsyd1J0uoXJdmV5GB7XnI23qgkaWrT+QbyvcB/Ae6bLFTVv55cTvJR4Pud8c9W1eo+x7kH2AQ8CuwE1gKfBzYDu6vqriSb2/oHz+xtnJkVm//ybB5+Sofu+rWhvK4knc5pzwyq6kvAC/22tT/d/yvg/lMdI8lS4IKq+nL1/mq1+4Cb2uZ1wLa2vK1TlyTNkUGvGbwVOFpVBzu1lUmeSPI3Sd7aasuA8c6Y8VYDuLSqjgC050umerEkm5KMJhmdmJgYsHVJ0qRBw2ADP31WcAT4haq6Avhd4NNJLgDSZ98z/suXq2pLVa2pqjUjIyf96J4kaYZm/KulSRYD/xJ402Stql4EXmzLe5M8C7yG3pnA8s7uy4HDbflokqVVdaRNJx2baU+SpJkZ5MzgV4GvV9X/n/5JMpJkUVt+FbAKeK5N//wwyVXtOsPNwMNttx3Axra8sVOXJM2R6dxaej/wZeC1ScaT3NI2refkC8dvA55M8lXgs8B7q2ry4vP7gD8FxoBn6d1JBHAXcG2Sg8C1bV2SNIdOO01UVRumqP92n9qDwINTjB8FXt+n/h3gmtP1IUk6e/wGsiTJMJAkGQaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kShoEkCcNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEtMIgyRbkxxLsr9T+1CSbyXZ1x43drbdnmQsyTNJru/U17baWJLNnfrKJI8lOZjkM0nOm803KEk6vemcGdwLrO1T/1hVrW6PnQBJLgfWA69r+/zXJIuSLAI+DtwAXA5saGMBPtKOtQr4LnDLIG9IknTmThsGVfUl4IVpHm8dsL2qXqyqbwBjwJXtMVZVz1XV/wG2A+uSBHg78Nm2/zbgpjN8D5KkAQ1yzeC2JE+2aaQlrbYMeL4zZrzVpqq/EvheVR0/oS5JmkMzDYN7gFcDq4EjwEdbPX3G1gzqfSXZlGQ0yejExMSZdSxJmtKMwqCqjlbVS1X1Y+AT9KaBoPcn+8s6Q5cDh09R/zZwYZLFJ9Snet0tVbWmqtaMjIzMpHVJUh8zCoMkSzur7wQm7zTaAaxPcn6SlcAq4HFgD7Cq3Tl0Hr2LzDuqqoAvAr/R9t8IPDyTniRJM7f4dAOS3A9cDVycZBy4A7g6yWp6UzqHgPcAVNWBJA8AXwOOA7dW1UvtOLcBjwCLgK1VdaC9xAeB7Un+A/AE8MlZe3eSpGk5bRhU1YY+5Sn/h11VdwJ39qnvBHb2qT/HT6aZJElD4DeQJUmGgSTJMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSUwjDJJsTXIsyf5O7T8l+XqSJ5M8lOTCVl+R5B+S7GuPP+ns86YkTyUZS3J3krT6RUl2JTnYnpecjTcqSZradM4M7gXWnlDbBby+qn4J+Dvg9s62Z6tqdXu8t1O/B9gErGqPyWNuBnZX1Spgd1uXJM2h04ZBVX0JeOGE2heq6nhbfRRYfqpjJFkKXFBVX66qAu4Dbmqb1wHb2vK2Tl2SNEdm45rB7wCf76yvTPJEkr9J8tZWWwaMd8aMtxrApVV1BKA9XzLVCyXZlGQ0yejExMQstC5JggHDIMnvA8eBT7XSEeAXquoK4HeBTye5AEif3etMX6+qtlTVmqpaMzIyMtO2JUknWDzTHZNsBH4duKZN/VBVLwIvtuW9SZ4FXkPvTKA7lbQcONyWjyZZWlVH2nTSsZn2JEmamRmdGSRZC3wQeEdV/ahTH0myqC2/it6F4ufa9M8Pk1zV7iK6GXi47bYD2NiWN3bqkqQ5ctozgyT3A1cDFycZB+6gd/fQ+cCudofoo+3OobcBH05yHHgJeG9VTV58fh+9O5NeRu8aw+R1hruAB5LcAnwTeNesvDNJ0rSdNgyqakOf8ienGPsg8OAU20aB1/epfwe45nR9SJLOHr+BLEkyDCRJhoEkCcNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CSxDTDIMnWJMeS7O/ULkqyK8nB9ryk1ZPk7iRjSZ5M8sbOPhvb+INJNnbqb0ryVNvn7iSZzTcpSTq16Z4Z3AusPaG2GdhdVauA3W0d4AZgVXtsAu6BXngAdwBvBq4E7pgMkDZmU2e/E19LknQWTSsMqupLwAsnlNcB29ryNuCmTv2+6nkUuDDJUuB6YFdVvVBV3wV2AWvbtguq6stVVcB9nWNJkubAINcMLq2qIwDt+ZJWXwY83xk33mqnqo/3qZ8kyaYko0lGJyYmBmhdktR1Ni4g95vvrxnUTy5WbamqNVW1ZmRkZIAWJUldg4TB0TbFQ3s+1urjwGWdccuBw6epL+9TlyTNkUHCYAcweUfQRuDhTv3mdlfRVcD32zTSI8B1SZa0C8fXAY+0bT9MclW7i+jmzrEkSXNg8XQGJbkfuBq4OMk4vbuC7gIeSHIL8E3gXW34TuBGYAz4EfBugKp6IckfAHvauA9X1eRF6ffRu2PpZcDn20OSNEemFQZVtWGKTdf0GVvArVMcZyuwtU99FHj9dHqRJM0+v4EsSTIMJEmGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kShoEkCcNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJLEAGGQ5LVJ9nUeP0jygSQfSvKtTv3Gzj63JxlL8kyS6zv1ta02lmTzoG9KknRmFs90x6p6BlgNkGQR8C3gIeDdwMeq6g+745NcDqwHXgf8PPDXSV7TNn8cuBYYB/Yk2VFVX5tpb5KkMzPjMDjBNcCzVfX3SaYasw7YXlUvAt9IMgZc2baNVdVzAEm2t7GGgSTNkdm6ZrAeuL+zfluSJ5NsTbKk1ZYBz3fGjLfaVPWTJNmUZDTJ6MTExCy1LkkaOAySnAe8A/jzVroHeDW9KaQjwEcnh/bZvU5RP7lYtaWq1lTVmpGRkYH6liT9xGxME90AfKWqjgJMPgMk+QTwubY6DlzW2W85cLgtT1WXJM2B2Zgm2kBniijJ0s62dwL72/IOYH2S85OsBFYBjwN7gFVJVrazjPVtrCRpjgx0ZpDkZ+ndBfSeTvk/JllNb6rn0OS2qjqQ5AF6F4aPA7dW1UvtOLcBjwCLgK1VdWCQviRJZ2agMKiqHwGvPKH2W6cYfydwZ5/6TmDnIL1IkmbObyBLkgwDSZJhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCQxC2GQ5FCSp5LsSzLaahcl2ZXkYHte0upJcneSsSRPJnlj5zgb2/iDSTYO2pckafpm68zgV6pqdVWtaeubgd1VtQrY3dYBbgBWtccm4B7ohQdwB/Bm4ErgjskAkSSdfWdrmmgdsK0tbwNu6tTvq55HgQuTLAWuB3ZV1QtV9V1gF7D2LPUmSTrBbIRBAV9IsjfJpla7tKqOALTnS1p9GfB8Z9/xVpuq/lOSbEoymmR0YmJiFlqXJAEsnoVjvKWqDie5BNiV5OunGJs+tTpF/acLVVuALQBr1qw5abskaWYGPjOoqsPt+RjwEL05/6Nt+of2fKwNHwcu6+y+HDh8irokaQ4MFAZJXp7kFZPLwHXAfmAHMHlH0Ebg4ba8A7i53VV0FfD9No30CHBdkiXtwvF1rSZJmgODThNdCjyUZPJYn66qv0qyB3ggyS3AN4F3tfE7gRuBMeBHwLsBquqFJH8A7GnjPlxVLwzYmyRpmgYKg6p6DnhDn/p3gGv61Au4dYpjbQW2DtKPJGlm/AayJMkwkCQZBpIkDANJEoaBJAnDQJKEYSBJwjCQJGEYSJIwDCRJGAaSJAwDSRKGgSQJw0CShGEgScIwkCRhGEiSMAwkSRgGkiQMA0kSA4RBksuSfDHJ00kOJHl/q38oybeS7GuPGzv73J5kLMkzSa7v1Ne22liSzYO9JUnSmVo8wL7Hgd+rqq8keQWwN8mutu1jVfWH3cFJLgfWA68Dfh746ySvaZs/DlwLjAN7kuyoqq8N0Jsk6QzMOAyq6ghwpC3/MMnTwLJT7LIO2F5VLwLfSDIGXNm2jVXVcwBJtrexhoEkzZFZuWaQZAVwBfBYK92W5MkkW5MsabVlwPOd3cZbbaq6JGmODBwGSX4OeBD4QFX9ALgHeDWwmt6Zw0cnh/bZvU5R7/dam5KMJhmdmJgYtHVJUjNQGCT5GXpB8Kmq+guAqjpaVS9V1Y+BT/CTqaBx4LLO7suBw6eon6SqtlTVmqpaMzIyMkjrkqSOQe4mCvBJ4Omq+qNOfWln2DuB/W15B7A+yflJVgKrgMeBPcCqJCuTnEfvIvOOmfYlSTpzg9xN9Bbgt4CnkuxrtX8LbEiymt5UzyHgPQBVdSDJA/QuDB8Hbq2qlwCS3AY8AiwCtlbVgQH6kiSdoUHuJvpb+s/37zzFPncCd/ap7zzVfpKks8tvIEuSDANJkmEgScIwkCRhGEiSMAwkSQz2PQOdoRWb/3Jor33orl8b2mtLmv88M5AkGQaSJMNAkoRhIEnCMJAkYRhIkjAMJEkYBpIkDANJEoaBJAnDQJKEYSBJwh+qO2cM60fy/IE8aWHwzECSNH/CIMnaJM8kGUuyedj9SNK5ZF6EQZJFwMeBG4DLgQ1JLh9uV5J07pgv1wyuBMaq6jmAJNuBdcDXhtqVBuZf6CMtDPMlDJYBz3fWx4E3nzgoySZgU1v9X0memeHrXQx8e4b7zgf2Pw35yFk7tP/8h8v+B/PP+hXnSxikT61OKlRtAbYM/GLJaFWtGfQ4w2L/w2X/w2X/Z8e8uGZA70zgss76cuDwkHqRpHPOfAmDPcCqJCuTnAesB3YMuSdJOmfMi2miqjqe5DbgEWARsLWqDpzFlxx4qmnI7H+47H+47P8sSNVJU/OSpHPMfJkmkiQNkWEgSTr3wmCh/exFkq1JjiXZ36ldlGRXkoPteckwe5xKksuSfDHJ00kOJHl/qy+U/v9pkseTfLX1/+9bfWWSx1r/n2k3PcxbSRYleSLJ59r6guk/yaEkTyXZl2S01RbE5wcgyYVJPpvk6+2/g1+er/2fU2GwQH/24l5g7Qm1zcDuqloF7G7r89Fx4Peq6heBq4Bb2z/vhdL/i8Dbq+oNwGpgbZKrgI8AH2v9fxe4ZYg9Tsf7gac76wut/1+pqtWde/MXyucH4D8Df1VV/xx4A71/D/Oz/6o6Zx7ALwOPdNZvB24fdl/T6HsFsL+z/gywtC0vBZ4Zdo/TfB8PA9cuxP6BnwW+Qu+b8d8GFvf7TM23B73v7OwG3g58jt4XPBdS/4eAi0+oLYjPD3AB8A3ajTrzvf9z6syA/j97sWxIvQzi0qo6AtCeLxlyP6eVZAVwBfAYC6j/NsWyDzgG7AKeBb5XVcfbkPn+Gfpj4N8AP27rr2Rh9V/AF5LsbT9HAwvn8/MqYAL4szZN96dJXs487f9cC4Np/eyFZleSnwMeBD5QVT8Ydj9noqpeqqrV9P6EfSXwi/2GzW1X05Pk14FjVbW3W+4zdF7237ylqt5Ib2r31iRvG3ZDZ2Ax8Ebgnqq6AvjfzJcpoT7OtTD4x/KzF0eTLAVoz8eG3M+UkvwMvSD4VFX9RSsvmP4nVdX3gP9B79rHhUkmv7A5nz9DbwHekeQQsJ3eVNEfs3D6p6oOt+djwEP0AnmhfH7GgfGqeqytf5ZeOMzL/s+1MPjH8rMXO4CNbXkjvbn4eSdJgE8CT1fVH3U2LZT+R5Jc2JZfBvwqvQuAXwR+ow2bt/1X1e1VtbyqVtD7rP/3qvpNFkj/SV6e5BWTy8B1wH4WyOenqv4n8HyS17bSNfR+ln9+9j/sixZDuKhzI/B39OZ+f3/Y/Uyj3/uBI8D/pfcnjVvozfvuBg6254uG3ecUvf8LelMQTwL72uPGBdT/LwFPtP73A/+u1V8FPA6MAX8OnD/sXqfxXq4GPreQ+m99frU9Dkz+97pQPj+t19XAaPsM/TdgyXzt35+jkCSdc9NEkqQ+DANJkmEgSTIMJEkYBpIkDANJEoaBJAn4f6+rqropbx/MAAAAAElFTkSuQmCC\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.653285Z",
          "start_time": "2019-11-30T04:08:20.641669Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "speed[:10]",
      "execution_count": 13,
      "outputs": [
        {
          "data": {
            "text/plain": "0    0.150000\n1    2.438360\n2    0.596657\n3    0.310161\n4    0.193132\n5    2.904772\n6    3.080584\n7    2.199659\n8    2.640076\n9    4.592211\nName: speed_2d, dtype: float64"
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.935392Z",
          "start_time": "2019-11-30T04:08:20.658234Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "plt.hist(speed[:10])",
      "execution_count": 14,
      "outputs": [
        {
          "data": {
            "text/plain": "(array([3., 1., 0., 0., 1., 2., 2., 0., 0., 1.]),\n array([0.15      , 0.59422108, 1.03844216, 1.48266324, 1.92688432,\n        2.3711054 , 2.81532648, 3.25954756, 3.70376864, 4.14798972,\n        4.5922108 ]),\n <a list of 10 Patch objects>)"
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.944368Z",
          "start_time": "2019-11-30T04:08:20.936390Z"
        },
        "scrolled": true,
        "trusted": true
      },
      "cell_type": "code",
      "source": " np.isnan(speed)",
      "execution_count": 15,
      "outputs": [
        {
          "data": {
            "text/plain": "0        False\n1        False\n2        False\n3        False\n4        False\n         ...  \n19790    False\n19791    False\n19792    False\n19793    False\n19794    False\nName: speed_2d, Length: 19795, dtype: bool"
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.952350Z",
          "start_time": "2019-11-30T04:08:20.945365Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "np.isnan(speed).any()",
      "execution_count": 16,
      "outputs": [
        {
          "data": {
            "text/plain": "True"
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.962320Z",
          "start_time": "2019-11-30T04:08:20.955340Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "np.sum(np.isnan(speed))",
      "execution_count": 17,
      "outputs": [
        {
          "data": {
            "text/plain": "85"
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.979279Z",
          "start_time": "2019-11-30T04:08:20.965321Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "ind = np.isnan(speed)\nind",
      "execution_count": 18,
      "outputs": [
        {
          "data": {
            "text/plain": "0        False\n1        False\n2        False\n3        False\n4        False\n         ...  \n19790    False\n19791    False\n19792    False\n19793    False\n19794    False\nName: speed_2d, Length: 19795, dtype: bool"
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:20.990397Z",
          "start_time": "2019-11-30T04:08:20.982267Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "~ind",
      "execution_count": 19,
      "outputs": [
        {
          "data": {
            "text/plain": "0        True\n1        True\n2        True\n3        True\n4        True\n         ... \n19790    True\n19791    True\n19792    True\n19793    True\n19794    True\nName: speed_2d, Length: 19795, dtype: bool"
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.229098Z",
          "start_time": "2019-11-30T04:08:20.993397Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "ix = birddata.bird_name == 'Eric'\nspeed = birddata.speed_2d[ix]\nind = np.isnan(speed)\nplt.hist(speed[~ind])\nplt.savefig('hist.pdf')",
      "execution_count": 20,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.441394Z",
          "start_time": "2019-11-30T04:08:21.230083Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "plt.figure(figsize=(8,4))\nspeed = birddata.speed_2d[birddata.bird_name == 'Eric']\nind = np.isnan(speed)\nplt.hist(speed[~ind], bins=np.linspace(0, 30, 20), density=True) # normed=True is deprecated\nplt.xlabel('2D speed (m/s)')\nplt.ylabel('Frequency');",
      "execution_count": 21,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 576x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.716202Z",
          "start_time": "2019-11-30T04:08:21.446379Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata.speed_2d.plot(kind='hist', range=[0, 30])\nplt.xlabel('2D speed')\nplt.savefig('pd_hist.pdf')",
      "execution_count": 22,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Using Datetime"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.729181Z",
          "start_time": "2019-11-30T04:08:21.721210Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata.columns",
      "execution_count": 23,
      "outputs": [
        {
          "data": {
            "text/plain": "Index(['altitude', 'date_time', 'device_info_serial', 'direction', 'latitude',\n       'longitude', 'speed_2d', 'bird_name'],\n      dtype='object')"
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.741149Z",
          "start_time": "2019-11-30T04:08:21.732178Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata.date_time[0:3]",
      "execution_count": 24,
      "outputs": [
        {
          "data": {
            "text/plain": "0    2013-08-15 00:18:08+00\n1    2013-08-15 00:48:07+00\n2    2013-08-15 01:17:58+00\nName: date_time, dtype: object"
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.748132Z",
          "start_time": "2019-11-30T04:08:21.743143Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import datetime",
      "execution_count": 25,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.756824Z",
          "start_time": "2019-11-30T04:08:21.752799Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "time_1 = datetime.datetime.today()",
      "execution_count": 26,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.767374Z",
          "start_time": "2019-11-30T04:08:21.760403Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "time_2 = datetime.datetime.today()",
      "execution_count": 27,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.777356Z",
          "start_time": "2019-11-30T04:08:21.771364Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "time_2 - time_1",
      "execution_count": 28,
      "outputs": [
        {
          "data": {
            "text/plain": "datetime.timedelta(0, 0, 9595)"
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.786250Z",
          "start_time": "2019-11-30T04:08:21.781263Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "time_2 = datetime.datetime.today()",
      "execution_count": 29,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.793231Z",
          "start_time": "2019-11-30T04:08:21.788239Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "time_2 - time_1",
      "execution_count": 30,
      "outputs": [
        {
          "data": {
            "text/plain": "datetime.timedelta(0, 0, 27466)"
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.806254Z",
          "start_time": "2019-11-30T04:08:21.796217Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "date_str = birddata.date_time[0]\ntype(date_str)",
      "execution_count": 31,
      "outputs": [
        {
          "data": {
            "text/plain": "str"
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.819223Z",
          "start_time": "2019-11-30T04:08:21.811210Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "date_str",
      "execution_count": 32,
      "outputs": [
        {
          "data": {
            "text/plain": "'2013-08-15 00:18:08+00'"
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.832633Z",
          "start_time": "2019-11-30T04:08:21.824231Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "date_str[:-3]",
      "execution_count": 33,
      "outputs": [
        {
          "data": {
            "text/plain": "'2013-08-15 00:18:08'"
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:21.846616Z",
          "start_time": "2019-11-30T04:08:21.835593Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "datetime.datetime.strptime(date_str[:-3], '%Y-%m-%d %H:%M:%S')",
      "execution_count": 34,
      "outputs": [
        {
          "data": {
            "text/plain": "datetime.datetime(2013, 8, 15, 0, 18, 8)"
          },
          "execution_count": 34,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:24.226376Z",
          "start_time": "2019-11-30T04:08:21.849993Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "timestamps = []\nfor k in range(len(birddata)):\n    timestamps.append(datetime.datetime.strptime(birddata.date_time.iloc[k][:-3], '%Y-%m-%d %H:%M:%S'))",
      "execution_count": 35,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:24.232247Z",
          "start_time": "2019-11-30T04:08:24.227311Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "timestamps[:5]",
      "execution_count": 36,
      "outputs": [
        {
          "data": {
            "text/plain": "[datetime.datetime(2013, 8, 15, 0, 18, 8),\n datetime.datetime(2013, 8, 15, 0, 48, 7),\n datetime.datetime(2013, 8, 15, 1, 17, 58),\n datetime.datetime(2013, 8, 15, 1, 47, 51),\n datetime.datetime(2013, 8, 15, 2, 17, 42)]"
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:24.257202Z",
          "start_time": "2019-11-30T04:08:24.235239Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata['timestamp'] = pd.Series(timestamps, index=birddata.index)",
      "execution_count": 37,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:24.282288Z",
          "start_time": "2019-11-30T04:08:24.261348Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata.head()",
      "execution_count": 38,
      "outputs": [
        {
          "data": {
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>altitude</th>\n      <th>date_time</th>\n      <th>device_info_serial</th>\n      <th>direction</th>\n      <th>latitude</th>\n      <th>longitude</th>\n      <th>speed_2d</th>\n      <th>bird_name</th>\n      <th>timestamp</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>71</td>\n      <td>2013-08-15 00:18:08+00</td>\n      <td>851</td>\n      <td>-150.469753</td>\n      <td>49.419860</td>\n      <td>2.120733</td>\n      <td>0.150000</td>\n      <td>Eric</td>\n      <td>2013-08-15 00:18:08</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>68</td>\n      <td>2013-08-15 00:48:07+00</td>\n      <td>851</td>\n      <td>-136.151141</td>\n      <td>49.419880</td>\n      <td>2.120746</td>\n      <td>2.438360</td>\n      <td>Eric</td>\n      <td>2013-08-15 00:48:07</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>68</td>\n      <td>2013-08-15 01:17:58+00</td>\n      <td>851</td>\n      <td>160.797477</td>\n      <td>49.420310</td>\n      <td>2.120885</td>\n      <td>0.596657</td>\n      <td>Eric</td>\n      <td>2013-08-15 01:17:58</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>73</td>\n      <td>2013-08-15 01:47:51+00</td>\n      <td>851</td>\n      <td>32.769360</td>\n      <td>49.420359</td>\n      <td>2.120859</td>\n      <td>0.310161</td>\n      <td>Eric</td>\n      <td>2013-08-15 01:47:51</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>69</td>\n      <td>2013-08-15 02:17:42+00</td>\n      <td>851</td>\n      <td>45.191230</td>\n      <td>49.420331</td>\n      <td>2.120887</td>\n      <td>0.193132</td>\n      <td>Eric</td>\n      <td>2013-08-15 02:17:42</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
            "text/plain": "   altitude               date_time  device_info_serial   direction  \\\n0        71  2013-08-15 00:18:08+00                 851 -150.469753   \n1        68  2013-08-15 00:48:07+00                 851 -136.151141   \n2        68  2013-08-15 01:17:58+00                 851  160.797477   \n3        73  2013-08-15 01:47:51+00                 851   32.769360   \n4        69  2013-08-15 02:17:42+00                 851   45.191230   \n\n    latitude  longitude  speed_2d bird_name           timestamp  \n0  49.419860   2.120733  0.150000      Eric 2013-08-15 00:18:08  \n1  49.419880   2.120746  2.438360      Eric 2013-08-15 00:48:07  \n2  49.420310   2.120885  0.596657      Eric 2013-08-15 01:17:58  \n3  49.420359   2.120859  0.310161      Eric 2013-08-15 01:47:51  \n4  49.420331   2.120887  0.193132      Eric 2013-08-15 02:17:42  "
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:24.297428Z",
          "start_time": "2019-11-30T04:08:24.286276Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "birddata.timestamp[4] - birddata.timestamp[3]",
      "execution_count": 39,
      "outputs": [
        {
          "data": {
            "text/plain": "Timedelta('0 days 00:29:51')"
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:25.158437Z",
          "start_time": "2019-11-30T04:08:24.303043Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "times = birddata.timestamp[birddata.bird_name == 'Eric']\nelapsed_time = [time - times[0] for time in times]",
      "execution_count": 40,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:25.165731Z",
          "start_time": "2019-11-30T04:08:25.160747Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "elapsed_time[0]",
      "execution_count": 41,
      "outputs": [
        {
          "data": {
            "text/plain": "Timedelta('0 days 00:00:00')"
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:25.172713Z",
          "start_time": "2019-11-30T04:08:25.167726Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "elapsed_time[1000]",
      "execution_count": 42,
      "outputs": [
        {
          "data": {
            "text/plain": "Timedelta('12 days 02:02:00')"
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:25.180690Z",
          "start_time": "2019-11-30T04:08:25.174708Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "elapsed_time[1000] / datetime.timedelta(days=1)",
      "execution_count": 43,
      "outputs": [
        {
          "data": {
            "text/plain": "12.084722222222222"
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:25.188669Z",
          "start_time": "2019-11-30T04:08:25.181688Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "elapsed_time[1000] / datetime.timedelta(hours=1)",
      "execution_count": 44,
      "outputs": [
        {
          "data": {
            "text/plain": "290.03333333333336"
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:25.710880Z",
          "start_time": "2019-11-30T04:08:25.191421Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "plt.plot(np.array(elapsed_time)/datetime.timedelta(days=1))\nplt.xlabel('Observation')\nplt.ylabel('Elapsed time (days)')\nplt.savefig('timeplot.pdf')",
      "execution_count": 45,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Calculating Daily Mean Speed"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:27.036238Z",
          "start_time": "2019-11-30T04:08:25.715834Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "data = birddata[birddata.bird_name == 'Eric']\ntimes = data.timestamp\nelapsed_time = [time - times[0] for time in times]\nelapsed_days = np.array(elapsed_time)/datetime.timedelta(days=1)\n\nnext_day = 1\ninds = []\ndaily_mean_speed = []\n\nfor i, t in enumerate(elapsed_days):\n    if t < next_day:\n        inds.append(i)\n    else:\n        # compute mean speed\n        daily_mean_speed.append(np.mean(data.speed_2d[inds]))\n        \n        next_day += 1\n        inds = []",
      "execution_count": 46,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:08:27.300365Z",
          "start_time": "2019-11-30T04:08:27.038232Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "plt.figure(figsize=(8,6))\nplt.plot(daily_mean_speed)\nplt.xlabel('Day')\nplt.ylabel('Mean Speed (m/s)')\nplt.savefig('dms.pdf')",
      "execution_count": 47,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 576x432 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Using the Cartopy Library"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2019-11-30T04:13:38.627805Z",
          "start_time": "2019-11-30T04:13:26.616241Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import cartopy.crs as ccrs\nimport cartopy.feature as cfeature\n\nproj = ccrs.Mercator()\n\nplt.figure(figsize=(10,10))\nax = plt.axes(projection=proj)\nax.set_extent((-25., 20., 52., 10.))\n\nax.add_feature(cfeature.LAND)\nax.add_feature(cfeature.OCEAN)\nax.add_feature(cfeature.COASTLINE)\nax.add_feature(cfeature.BORDERS, linestyle=':')\n\nfor name in bird_names:\n    ix = birddata['bird_name'] == name\n    x, y = birddata.longitude[ix], birddata.latitude[ix]\n    ax.plot(x, y, '.', transform=ccrs.Geodetic(), label=name)\n    \nplt.legend(loc='upper left')\nplt.savefig('map.pdf')",
      "execution_count": 50,
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": "C:\\Miniconda3\\envs\\edx\\lib\\site-packages\\cartopy\\io\\__init__.py:260: DownloadWarning: Downloading: http://naciscdn.org/naturalearth/110m/physical/ne_110m_land.zip\n  warnings.warn('Downloading: {}'.format(url), DownloadWarning)\nC:\\Miniconda3\\envs\\edx\\lib\\site-packages\\cartopy\\io\\__init__.py:260: DownloadWarning: Downloading: http://naciscdn.org/naturalearth/110m/physical/ne_110m_ocean.zip\n  warnings.warn('Downloading: {}'.format(url), DownloadWarning)\nC:\\Miniconda3\\envs\\edx\\lib\\site-packages\\cartopy\\io\\__init__.py:260: DownloadWarning: Downloading: http://naciscdn.org/naturalearth/110m/physical/ne_110m_coastline.zip\n  warnings.warn('Downloading: {}'.format(url), DownloadWarning)\nC:\\Miniconda3\\envs\\edx\\lib\\site-packages\\cartopy\\io\\__init__.py:260: DownloadWarning: Downloading: http://naciscdn.org/naturalearth/110m/cultural/ne_110m_admin_0_boundary_lines_land.zip\n  warnings.warn('Downloading: {}'.format(url), DownloadWarning)\n"
        },
        {
          "data": {
            "image/png": 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