{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Combining dates with analysis visualization in python\n", "\n", "Sometimes you want to do two things:\n", "\n", "1. Plot a timeseries that handles datetimes in a clever way (e.g., with Pandas or Matplotlib)\n", "2. Plot some kind of analysis on top of that timeseries.\n", "\n", "Sounds simple right? It's not.\n", "\n", "The reason for this is that plotting libraries don't *really* plot human-readable dates, they convert dates to numbers, then change the xtick labels so that they're human readable. This means that if you want to plot something *on top* of dates, it's quite confusing.\n", "\n", "To demonstrate this, let's grab the latest stock market prices for a couple companies and\n", "fit regression lines to them..." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import seaborn as sns\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import pandas_datareader.data as web\n", "import datetime\n", "plt.ion()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "start = datetime.datetime(2010, 1, 1)\n", "end = datetime.datetime(2017, 10, 31)\n", "companies = ['AAPL', 'IBM']\n", "data = web.DataReader(companies, 'google', start, end)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "def prep_data(data):\n", " data = data.sort_index()\n", " data = data.resample('D').mean().copy()\n", " data = data.reset_index().dropna()\n", " data['High'] -= data['High'].min()\n", " return data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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uBJvSS5mVGEReZR1vbD6JyWJj9vDg3lh+vyR/g4UQYhCw2VU+25fPMB838irr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"text/plain": "<matplotlib.figure.Figure at 0x7f5c24414390>" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(12, 6))\n", "for company in companies:\n", " this_data = prep_data(data.loc[:, :, company])\n", " this_data.plot.line('Date', 'High', ax=ax, label=company)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's say we want to fit a regression line to each stock, should be simple, right?" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "***ERROR: reduction operation 'mean' not allowed for this dtype ***\n", "***ERROR: reduction operation 'mean' not allowed for this dtype ***\n" ] }, { "data": { "image/png": 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XfVOwpCgK0+ID2JReis2uthxvS2FVPX/49ADfHSkGwFWvo9Fu5+UbJjElNsCxb/BHwv3a\nD2LDmrLRhVX1jI3wZVN6Ca56HX9YnMTn+/J55uuj/O2bo8xICOSuOQkO2dzXX7y8PgObXaWqrpHf\nfLyfUWHejIv06/J9Khw4cAOkTEIIIYQQvSyn3IxdhbhgTwAuHhdGTb2VTcdbL5Wob7RxuKC6pV64\n2eLkMEprG9iWUdbu65XUNHDNq9vYcqKM3y9K4q3bprAgKYRnrhzHhWPDHPOmuqm5NKOgqb3apvRS\nUmL9uXl6LB/dM4P1D83jvnOHk1Vq5s53d5NTZnbmch0mt8LMqr15XDc1mv9cPwmAU+V13bqXI0cx\ngwTDQgghhOhlJ0tNAMQGasHwzIQgfN1dWHOgoNXzV+3No9GmMjna/4zj80eF4O1m4NN9bY8+rqlv\n5Na3dlJc3cD7d0zjzjnxzB8Zwss3TmZpSpSD3lH3BXm5odcpFFXVU1xdz9HCGmYPP539jQ3y5Nfn\njeDje2Zg0Ck8veawE1frOK9tzATgrjnxLdnz/MruBcOVZovDNs+BBMNCCCGE6CZVVSmo6jigOVmq\ndYCIC9KCYVeDjgvGDGPt4aKzukocyK3i8c8PMSsxiAVJw854zuii58KxoXx9sJD6Rlurr/X+9hwO\n5Vfz0o2TmBzj3+o5zqTXKYT6GNmeWcaGpp7Es4cHnXVeqK+Re89N5NvDRS29iweqkpoGVuw6xRWT\nIgj3c8fHaMDLzUBeN4PhCrPFYW3VQIJhIYQQQnTTxvRSZj2zjuwyU7vnnSw1E+DpekY277zRodQ2\nWNn1o0EaFSYLd7+fSrCXG89fN7HVuuDLJkRQ22Dlh6PFrb7WvlMVxAV5Mn9k25vznO2+BYnszq7g\nj6sPE+jpyugwn1bPu31WHFEB7ry0/kQfr9Cx3txyEovNzt1zEwCt/jvcz9j9zLBJyiSEEEII0Q8U\nVtVhs6scyKtq97yTpbXEBnqccWxmYiCuBh3fHSkCwGZXuW/FXkpqGnjphkkEeLYe7ExPCCTE241X\nNmTQYD07O3wgt4rkCN9uvqO+sTQliqsmR1Jdr3W5aKujgptBz8XJ4ezOqqCmvrGPV+kYVXWNvLct\nm0XJYcQHe7UcD/dz71ZmuNFmp6bB6rC2aiDBsBBCCCG6ydSgBaPHi9ofhHGy1ERckNcZxzxcDcxM\nCOT7I8Woqsqz3x1nU3opT102hvFRbXcY0OsUnrx0DGm5VTzx+Zn1tCU1DeRX1TMusn8Hw4qi8MfL\nxrJkYgQ3TItp99x5I4Ox2lW2drBpsL96b1sWtQ1WfjEv4YzjEX7u3coMNw/ckMywEEIIIZyurqlu\nN72ops1zquoaKapuIL6pk8SPLUgaRk65mf9uyOSFH05wTUoU107tuIfwRclh/GJeAst35rBsR07L\n8YNNGer+nhkGcHfV8+9rJjA1rv02b5Nj/PFyM7D+2MCrGzZbrLy5JYv5I4MZE37mn0m4nzsV5kbM\nFmuX7lnp4IEbIMGwEEIIIbrJ1KAFMsfbCIbtdpWHVqahU2BGQuBZzy9I0up6n/n6KMkRvjx52ZhO\nv/aD549k7ohgHv/8IKnZ2lS6/blVKAqMGQDBcGe56HXMTAxk4/GSATehbsXOU5SbLPxyfuJZz0W0\ndJSo79I9KyQzLIQQQoj+wmzRMsNZZeZW63ef+eYoaw8X8dji0UyMPruzQ5ivO8kRvvh5uPDyjZMw\nurQ+gKM1ep3C89dOJMzXnXveT6W4up4DeZUkBHvh5Ta4ZorNHRFCXmUdJ4rbL0fpTyxWO69uzGRq\nXAAprQw56W57tebMcJ8Hw4qiZCmKckBRlH2KouxuOhagKMpaRVHSmx77X/8SIYQQQvSa5o+4bXa1\npZdwsw935fDKhkxuOieGW2bEtnmPF6+fxKpfzCTS36PNc9ri6+HCqzdPpqbeyj0f7GHfqSrGDaKs\ncLN5I7U+xBsGUIu1VXtzKayu595WssIA4X7a8JGuB8NaZthZZRLzVVWdoKpqStOvHwG+V1V1OPB9\n06+FEEIIMUSYLbaW9mc/3kS3LaOM3686yOzhQTx+yWgUpe3RydGBHi39h7tjVKgPf796HKnZFZTW\nNpDczzfPdUe4nzsRfu6k5bbftaMv2ewqT68+3GqJjNVm5+X1GSRH+LbaQxlgmI8RnUKXO0pUNGeG\n2+g20h09+RzhMmBe0/fvAOuBh3u4HiGEEEIMEGaLjcRgL06U1LZsojtZauLu91OJDfLkP9dPwqDv\n/YrMxePCOZBXxSsbMpnUSjnGYDAq1JtjhdXOXkaLHSfLeH3zSXLKzbx6c8oZz315sJCsMjP/vXFS\nmz8Iueh1DPMxkldZx56cCj5OzcXdRY+HmwFPV+3Rx2hg3sgQfN21LHC5ycL6YyW4GnR4una+pKYj\nnQ2GVeBbRVFU4BVVVV8FhqmqWgCgqmqBoiitdrdWFOUu4C6A6OiOd4gKIYQQYmAwW6z4ergQE+jB\nscIaKs0Wfvb2LvQ6hTdvmdISxPSFhy8YxWXjIxgd3voAi4FuZKg3G46XYLHacTU4f8vXmv3aKO3v\njhSRV1nXsiFOVVVeWneChGBPzh8d2u49IvzcOVJQw53v7MZksaJTlJY69GbB3m48sHA4eRV1fLjr\nFNX1jfz2oqR2P23oqs4GwzNVVc1vCnjXKopytLMv0BQ4vwqQkpIysLZBCiGEEKJNZouNQE9XAkK8\n2ZZZxoXPbqLcZOGDO6cRHdj1GuCe0OmUQRsIgxYMW+0qmaW1jAp17vu02ux8fbCQKbH+pGZX8MH2\nbAK9tEEoIT5uHC2s4Z9Xj29zmEizcD93Pk/Lx6BTWH3fLEaF+mC3q9Q12jBZrGSXmXnqi8P8ftVB\n9DqFGQmB/P7iJIe//04Fw6qq5jc9FiuKsgqYChQpihLWlBUOA1qfiyiEEEKIQclssRHlbyA50pev\nDxWSHOHLr85NZEor3QNEz4wM9QbgWGGN04Ph7ZnllJks/GnJWPw8XHltUyaNNpUpsf5Y7SrT4gK4\ndEJ4h/dp7ihx99yElvek0yl4uhnwdDMQ4m1k1S9msO9UJcNDvPF14Ka5H+swGFYUxRPQqapa0/T9\n+cBTwOfALcBfmx4/65UVCiGEEKJfMjdY8XDVc/usOC6fEEGor9HZSxq04oO8MOgUjhW2PeCkr6w5\nkI+nq76pnteV744UccO0aJ66bGzLhsrOuGDMMIqr67n33NY7TgAY9LpWW7M5Umcyw8OAVU21GQZg\nmaqqXyuKsgv4n6IotwM5wNW9t0whhBA9YbernKowc6SghqOF1RwrrCGzxMSD54/g/DHt1/UJ0RZz\now0PVz0uep0Ewr3M1aAjPtjT6cHw1oxSPt2bzwVjhmF00TM9IZCdv1tIkJdrl+t4J0b7t9p/uq91\nGAyrqpoJjG/leBmwoDcWJYQQwnGW78zh6dWHMTVtTFEUiA30xGK18+DKNL4K9+lWj1chzA02PAbZ\ngIv+bGSoD3tzKpz2+uuPFfPz91KJCfTgdxcntRwP9nZz2pocQf4GCyHEILdmfwF+Hq48dkkio0J9\nGD7MCw9XA6fKzSx6bhP3r9jHh3ed0yctsMTg0WizY7HZ8ejC1DjRMyOHefFFWj61DdY+n7L37aFC\n7l22l8QQL96/YxoBDuzz62zyfz4hhBjEVFXlSEE1MxMDuWZKNOOj/PBw1f4RjQrw4KnLx5CaXcG3\nh4ucvNKzWax2PtiRzSUvbOayF7dQbrI4e0niR5pbYElmuO+MbNpk1tqgi960Zn8Bv/hgD0nhPiy/\n85xBFQiDBMNCCDGoldQ0UGaykBTW+u7zS8aF42M0sO5o/2sI9OK6E/x+1UEabXaOFlRz0xs7qGoa\nxSqcr3kUs4cDhx+I9o0Y5gXQMuCkL3yyJ5dfLd/DxGg/3r99aq91dHAm+XFOCCEGsSNNm23aasVk\n0OuYPSKY9cdLsNvVDvuCOtp727JwNehYmhJ11uab1fvzmZEQyAd3TGPD8RLuejeVa17dxms3pxAV\nIDXOztaSGZZguM+E+7mjUyC3omsjjLuqrLaBp1YfJqvMzP7cSqbHB/L6LSktnyoNNpIZFkKIQexI\ngTa+NSnMu81z5o8MoaSmgcMFfTvq1Wqz86cvj/Dwxwf49Yf7WjKNACeKa8koMXHh2FAURWHeyBDe\nuDWF/Mo6Lv3PZg7mVfXpWsXZzA3NwfDgDJD6Ixe9jlAfI3m9EAzX1Ddis2uz0b5Iy+ezffl4uem5\nc3Y8b946ZVD/OUswLIQQg0h2mQlVPT3s82hBNWG+Rvw82q7xmzsiGIANx0s69RoWq529ORVnvE53\nZJSYqG+0MzMxkM/S8lny4lZOlpoA+PZwIQALk4a1nD97eDCf/nImVpvK+9uze/TaouekTMI5Ivzd\nya10bDCcV1nHzL/+wHPfpwOw+UQpMYEefHDHOfxuURLGQb5JUoJhIYQYJI4WVjPvH+t5Z2tWy7Ej\nBTVt1gs3C/Z2IznCt1N1wzllZq7671aWvLSVz/bl92i9+3MrAXjy0rG8+7OpFNfUc+kLm/nmUCHf\nHCpiXKRvy4SqZvHBXgwf5kV2mblHry16TsoknCPCz71TmWFVVVm+M6flB8z2znvk4/1U11v5ODUX\ni9XOtowyZiUGOWrJ/Z4Ew0IIMUh8nJqLqsJrm05itdlpsNrIKKltt0Si2byRwezJqaCijY4NJTUN\n/P2boyx6fhNZpSbigzz5y1dHMDVYWz2/mc2uUlhVz96cClKzy8/IJh/Iq8LTVU98kCezhwez+r7Z\nxAV78vP3Ukk7VckFbQwDiQ30JLus/X/gRe87HQwP3o/P+6MIf3cKq+ux2uztnrf2cBG//eQAS1/Z\nRmZJbavnVJotvLjuBJvSS5mVGEReZR1vbD6JyWJj9vDg3lh+vyR/g4UQYhCw2VU+25fPMB838irr\nWHOggMQQL6x2tc3Ncz92/uhQXvjhBF8fKuS6qdEtx3PKzLy6KYP/7c6l0WbngtGh/P7iJEpqG7ji\npa08tDKNMpOFvIo6psUFEODpSkF1PQWVdRRW1VNU09BShwgwIyGQP14+loRgL/bnVjEmwrdl016E\nnzsr757Ok18cZtWePBYlh7W61phATz7Zm0d9o23Qf3zbn5mkTMIpIvw8sNlVimoaiPjJJyfNbHaV\nv39zjKgAd8wNNq5/bQcPXTCS6QmBHMyrYkdmOdszyzhSWI2qwpwRwbx4/URSnv6O574/jk6B6QmB\nffzOnEeCYSGEGAS2nCiluKaB/1w/kX+tPc5L6zIY3tSGqaMyCYCxET7EBXny+b58rpsazclSE/9e\ne5zV+/PR6xSunBTJnXPiSQjW7hkV4MGVkyL5eE8u0QEeJEf4suF4CSaLlXBfd0J9jZyTENjyfbif\nkZwyM/9ce5wrXtrKDw/O5XBBNTefE3PGOtwMev68JJknLhmDq6H1Dy9jg7ROEjnlZkYM6zjrLTrH\nZlfJKjORVWpCUeDcUcPaPb9OyiScIsJfC4DzKuraDIY/3pNLenEtL98wibhgT+5+L5WHVqa1PO9m\n0DE5xp9fLxzBtLgAJsX446LXsSAphC8PFDIx2g9f98HXQq0tEgwLIcQg8OnePLyNBhYmDaO23soj\nnxwgs7SWi8aGEhfk2eH1iqJw6fhwnv8hncySWm56YyeVZgt3zo7nZ7PiGOZjPOuapy8fy/XTopgY\n5Y9Op7SUQPy0RdqPTY0LZNHzm3j44wNYrHaSI31bPa+tQBi0MgmArFKTBMMO0GC18X8fprH+WHHL\nyG6AHb9b0Oqfe7PmzLCnDN3oU80BcF6lGQho9Zz/rs9gfKRvSzeWdQ/NY++pSvbmVJIc4cv4KF/c\nDGf/EHPp+HC+PFA4pEokQIJhIYQY8BqsNr4+VMil48MxuuhZmhJFfLAXSWHeeBs7n925dEI4z32f\nzg2v76Cwup6VP59OSmzr/9gCuLvqmRxz+vn2guBmo8N9uDg5jDUHCgBIjmg9GG5PczAsm+gcY8uJ\nUtYcKODyCeHMGh5MpdnC02uOkFthbjcYrrPYUBQtyyj6Tksw3MYmurLaBjJLTfx+UVLLf5OKojAp\n2p9J0f7t3vvcUcO4e24C102Ncuyi+zn5GyyEEANcalYFZouN80ZrH2vrdApT4wK6FAgDJAR7MSbc\nh4Kqem6fGdduINwTDywcjqKAt5uhJbDtCl8PF/w8XMiSTXQOsfZwMZ6uep65ahxXTY5syQrmV9a3\ne52pwYanq6FTPwQJx3F31RNJ7eTIAAAgAElEQVTo6UpeG+3V9jf14G7rU5f2uBp0PHLRKMJ8Wy+/\nGKwkMyyEEAPcphOlGHQK0+J7vuHlrjnxfJSay0MXjHTAylo3fJg3t8+Mo95q6/bEu5hAT8kMO4Dd\nrvL9kSLmjgxu+dg8zE/LBhdUtd++q67RirvUCztFhL97m1Po9p+qQlFgbDc+dRmqJBgWQogBblN6\nCZNi/PFyQO3mZRMiuGxChANW1b4/LB7do+tjAz1Iza5w0GqGrgN5VRTXNLR8qgDgY3TBy83Qycyw\nBMPOEOHnzrGimlafO5BXSUKwl0P+fzBUSJmEEEIMYGW1DRzMq2b2EGqQD1pmOL+yjgarreOTRZvW\nHi5Cr1OYPzLkjOPhfkbyO5hyZrbYcJcew04R4edOfmXdWVMgVVUlLbeKcZIV7hIJhoUQYgDbklEG\nwOwRQ2v3d2ygB3YVTpU7diztUKKqKt8cKiQlxv+scd1hvu4UVLWfGTZbrJIZdpIIf3fqG+2U/WRI\nTlF1AyU1Dd2qFx7KJBgWQogBbNPxEnzdXbrVlWEgi2npKCGb6Lprxa5TpBfXcnXK2Z0Dwv2MHdYM\na5lhCYadIdJf67X9f/9L47N9eS2TINOaRpyPi/Rz2toGIvl8QwghBihVVdmUXsrMxED03dyINlA1\n907Okk103VJUXc+fvzzCOfEBXDnp7BrxMF93SmstNFhtrfajBS0zHNpO6zXRe2YlBnHXnHg+35fP\n/Sv2YXTRsWDUMBqsdvQ6hdGdGLQjTpNgWAghBqiMkloKq+uHXIN8AH8PF7yNBskMdyA1u5xP9+bz\nyEWjzhiO8dhnB7FY7fzlinGttkYL89WC3MKq+pYs/E+ZLTaZPuck7q56frcoiUcuHMXu7Aq+SMvn\nq4MFlNZaGBPuIxn7LpJgWAghBqiNx0sBLUs01CiKQmygp2SG2/Hqxgye+foYNrvKhCg/rpwcCcDX\nBwv45lARD184qs3phOFNgx3yKzsIht0k6HKm5p7iU+MCePyS0ew8WU6Ij5uzlzXgSM2wEEIMUJvS\nS4gL8iQqwMPZS3GKmEAPyQy3YXdWOX/+8igLk0II9zXyZdPEv6q6Rh797BBjwn24c3Zcm9c3Z4bb\nqxs2W6x4SDeJfsOg1zEjMYjEEBlR3lUSDAshxADUYLWxPbOc2cOHXla4WWygJ7kVdTTa7M5eSr9g\ntdlbWm2t3l+Aq0HHP5dO4KLkMDall1Jd38hfvjxCucnCM1eOw6BvOwQ4nRluPRi22VXqG+1SJiEG\nBQmGhRBiANqTXUldo21Ilkg0iwn0wGZXyWtjEtdQUm6ycP6zG3lo5X7sdpWvDhYwb0QwXm4GFiWH\nYbHZ+fOaI6zYdYo7ZsV1OJ3M6KInwNOV/Dbaq9U1av2dJRgWg4F8viGEEAPQpvQS9DqF6Qk9H8E8\nUMU21bueLDO1fD8UNdrs3PN+KpklJjJLTIwM9aKouoGLx4UBMDHKj1AfIyt2nSIm0IMHFo7o1H3D\nfI0UtJEZNje18pIyCTEYyN9iIYQYgDafKGVStB/eRhdnL8VpYgK1WunsUhOMdPJinOjJLw6x42Q5\nf1oylue+S+fPXx7F1aBjQZI2YlmnU1iUHMabW07ylyXJne40EObrTnpxDd8cKqTSbKHc1EiF2UKl\n2YKvu/b3TjLDYjCQYFiIvtZQAyc3wahFzl6JGKDKTRYO5FXxwILOZfgGq2AvNzxd9UO6o8QHO7J5\nf3sOP58Tzw3TYjDoFB7++ABzm0okmt2/YDjnjR7WpU8S4oI8+O5IET9/L7XlmLuLHi+jgZKaBgD8\nPV3bulyIAUOCYSH62g9Pw47/wh0/QOTkzl1jt0F9FXgEdHxuQy3k7oKE+T1bp+i3tpwoRVVh9oih\nWy8MWnu1mEDPIdtRYkdmGY9/doh5I4P5zYWjALhqchSH86u5dMKZgzR8PVy6XFJz34LhzBsZgq+7\nCwGervh7uLZklYtr6kkvqmVaXCf+nyREPycb6IToSzWFkPq29v2BlZ2/bvO/4NlkMJV2fO7uN+C9\ny+Hw591aouj/NqeX4m00MG6IjWBuTWyQB9lDMDN8qtzMPR/sITrQg+eundgygVCvU3jysrFMjvHv\n8Wt4G12YmRjE2Ahfwv3czyivCPE2MjMxqN2OFEIMFPK3WIi+tPUFsDVCxGQ49ImW8e2I3Q6p74Kl\nFva80/H5Odu1xy//H9RV9my9ot/RRjCXMDNBAhGAmEBPTlWYsQ6h9mpmi5W73kul0Wbn9ZtTWup3\nhRDdI/8nFaKvmEph1xswbinMuA9qiyBrU8fX5WyFqhxw84Fdb4LN2va5qgqndkL4RDAVw9rHHLd+\n0S9klJjIr6of8iUSzWIDPWi0qRS00QJsMPrPDyc4WljNC9dNJD7Yy9nLEWLAk2BYiL6SvhasdTDt\nbhhxAbh6d65UIm05uHrBxf+C6lw49mXb51acBHMpTLoZpv9SyyQf/sxx70E43eb0EgBmJwY7eSX9\nQ/Oo4KwhUjdcVtvA21uzWDwunHkjQ5y9HCEGBQmGhegrOVvB6Auh48DFHUZfBvuWwUc/g/y9rV9j\nMcOhz2D05TD2CvCNhq9/C2se1GqP81Kh8Ud9QE/t0h4jp8K5j0FECnz6SyjL6PW3J/rGzqxyIvzc\niQ4cmiOYfyq2ORguHRrB8CsbM6lvtHH/guHOXooQg4Z0kxCir2Rvg6hzQNf0M+gFT2vdIVLfhoMf\nQ+xsrXxi+HmgaJth2P4iWGpg/LWg08Olz8GGv0Pah7Drde0cRQfBo+CS5yB3p5ZxDknSzr/6bXhl\nNrw0HaKnQewciJsDEZO0azf+QwvIL/orjLq4r39HRBepqsqurApmDuFBGz8V4u2G0UU3JNqrldY2\n8O62LC6fEEFiiJRHCOEonQ6GFUXRA7uBPFVVFyuKEgesAAKAPcBNqqpaemeZQgxwtSVQlg4Tbzx9\nzN0fzv8jzHkIUt+B7S/DsqshOAlm3AueIbDuzzD2SoidpV2TcK72ZbdDZTYUHtC+0pZrGWYXdy3Q\n1TXt+vaLglu/hH0fwMkNsO5pWAe4eIJXMFRkgVcorLgezv0DzPl/ff07I7rgVHkdJTUNTI6VdlbN\ndDqF2D5qr6aqKm9sPklprYVHLhrV66/3U9szy6hvtHPzjNg+f20hBrOulEncDxz50a+fAf6tqupw\noAK43ZELE2JQydmmPcbMOPs5oy/MvA/uT4Mlr2iZ3s9+qQXGQSPgkudPZ4qb6XQQEAejL4Vzfw9X\nvQXVeVB6HKKmnnnusNFwwZ/g7s3w/zJh6bsw4XrwidAyx/enaSUbPzwNtcW98vZF11XVNbLouU2s\n2JnTcmxXVjkAU2J73jZrMIkJ9Oj1zHCjzc5vPznA02uO8OrGDEwN7Wxk7SVHCqox6BRGhXr3+WsL\nMZh1KhhWFCUSuBh4venXCnAu8FHTKe8Al/fGAoUYFLK3gsEdwia0fY7BVSuHuGcL3PiJlkW+dhm4\ndeLj0KgpMPvBpu/Pafs8z0At8L34H3DblzBmCbgYtfIMgKzNnX9Pole9uzWLwwXVPPbZIY4UVAOw\nO7scb6OBESESDP1YbKAnOWVmbHa1V+5f22Dl9nd2s2LXKWYlBmFX4XDTn0lfOpxfTUKwF0YXGYEs\nhCN1NjP8LPAboLmRYyBQqapq84/GuUBEaxcKIdA2z0WmaAFvRxQFEhfAZS9CYELnX2PuI3DDx1oZ\nRVeFTdA6VnSm1ZvodaYGK29uOcm0uAB83F24b/lezBYru7MqmBzjj06ndHyTISQm0BOLzU5hdT11\nFhub0kv4cFcOB/Oqenzvwqp6rv7vNracKOWvVyTzz6XjATiQ2/N7d9WRghqSwuQHISEcrcOaYUVR\nFgPFqqqmKooyr/lwK6e2+iO5oih3AXcBREdHd3OZQgxQjfXaRLjCA71fj6s3wPCF3b82erpkhvuJ\nZTtyqDA38psLR1HbYOXWt3Zy5cvbSC+u5fKJknf4qdimzhrZpSZeOnCCD3ZopSXJEb588atZ3b7v\n0cJqbntrF9V1jbx56xTmjtDa2Q3zceOAAwLtrig3WSisrmd0uE+fvq4QQ0FnNtDNBC5VFGURYAR8\n0DLFfoqiGJqyw5FAfmsXq6r6KvAqQEpKSu98hiVEf1R0CD68EcoztWztlDudvaL2xc2GtWuhpgi8\nhzl7NUOWxWrntU2ZTI8PbBmp+/rNKdy/Yh8AKQ4YszvYxARp7dUySk18c6iQBaNC8PVw4dtDRaiq\nivLTmvtO2J9byQ2v7cDDTc//7p7OmPDTo6+TI/zYn9u30x2bS2WSwiQYFsLROiyTUFX1t6qqRqqq\nGgtcC/ygquoNaHvSr2o67RZAOvsL0ezQKnh9odYn+MZP4KZVWveG/qy5Y0XWJjCVQUOtc9czRK3e\nn09xTQM/nxvfcmxB0jA+/eUMHrloVEuALE4L8zHiatCxak8upbUWLp8YwbgIX2obrJTWtt3kyGZX\n2XC8hMc+O8iL6060HD9RXMMtb+7E18OFT34x84xAGLSMc2apido+3ER3OF+CYSF6S0/6DD8MrFAU\n5WlgL/CGY5YkRA811IKr59kdGPqC3QY//BE2/1sbfLH0XfAJ6/t1dEfoeG3k84ZntG4WfjHws6+1\nXsiiTzS37koM8Wr5SL5ZYog3ibJxrlU6nUJ0gAd7cipx1euYNzKY3dkVAGSXmQj2dmv1uj+tOcKb\nW06iKNok8znDg4kO8ODmN3ai1+l4//ZpRPi5n3XduEhfVBUO5VUxLb5vej4fKagmxNuNIK/W34sQ\novu6NIFOVdX1qqoubvo+U1XVqaqqJqqqerWqqg29s0QhusBuh/+kwFsXgbkcdrwCL0zWShZ6W10F\nLFuqBcKTb4VbVw+cQBi0uuG4OVp7toRztdHOy67Rstvtsdu1L9Fj2zPLOZRfze2z4rr10f5Q1lw3\nPCMxEG+jy+nJdG20XDteVMM727K4enIkO3+3EH8PF575+ihPfnGIopoG3rglhdim8oufGhuhZYr7\nsm74cEG11AsL0UtkAp0YXGoLoaZA+3p2nDa9DUUbX3zbV72XLS4/Ce8tgapcWPwspNzWO6/T2xY/\nCwseg+CRcOhTWHkrfHw7LH1PC5Zb88mdYLfC0nf6dKmD0RubTxLg6coS2STXZc3B7wVjQgGI9HdH\nr1NaHcahqip/XH0YT1c9v12URICnK7+cn8jTa7RW+vcvGM74KL82XyvY240wXyP/232K2gYr10yJ\nIsz37Ayyo+RWmDlRXMv8USG99hpCDGVdygwL0e9VZGmPcx/Wpq+d/7Q2pjhnG6StcMxrpK89ezjF\n+r+AqQRuXTNwA2HQ6pqDR2rfj7kcLvobHPsS1vyf9jlya3K2Qea6tp8XnXKy1MT3R4u4YVq09JHt\nhnFRfni66lmYpG3+dNHriPR352Tp2cHwumPFbEov5f6FIwjw1Nod3jQ9hugAD5IjfLn33MQOX++6\nqdFUmht59rv0ls2NjmK3qzz73XHuXbaH579PZ/ELm3F30bN43AD6pEmIAUQyw2JwaQ6Gx10D83+n\nfW+3w973YO2jMPIicG8749OhhhqtFCL5arjiVe2YuVzLok66GaKn9Wj5/c60u7Rs+6Z/gncYzP/t\nmc831GiT7wAqc8A/pu/XOEi8teUkLjodN02X38PuuGRcGAuTQvBwPf3PWkygJ9k/KZOwWO08vfoI\n8UGe3HTO6d9rN4OeL341CzeDDhd9x3mi+xYM574Fw3ltYyZ/+vIIB/OqWsoneqLRZufB/6XxeVo+\nQV5urN5fwKhQb/574+Q2yzaEED0jmWExuFRkAwr4Rp0+ptPBon+AuQzW/aln9y89DqodDn8O9U31\ngmkrwNYAk2/p2b37q3MfhQk3wIa/wu43z3yuNP309wVpfbuudizbkcPWE6XOXkanVZkbWbk7l0vG\nhxPibXT2cgYkRVHOCIRBqyPOKjOh/uhTi3e3ZZFZauIPi5NwNZz5T6Cvu0uXs/JLp0Th4arnrS1Z\n3V16i/pGGz9/L5XP0/L5zYUj2f2Hhez6/UJW/2qWBMJC9CIJhsXgUpEFPhFnT3oLnwApt8Ou13sW\ntJUc1x6tdXDwE600IPUtiEiB0OTu37c/UxSt1GT4+Vrt9Y83I/bDYPjztHx+t+oAD65Mo9E2MDb2\nLd+VQ12jjdtnxTl7KYNKbKAnNfVWKsyNgDa44rnv05kzIpj5Ix1Tf+vr7sJVkyP5Ii2f4pr6luPV\n9Y2sPVzEE58f4rx/beDyF7ewK6u8zfvU1Ddy85s7WXesmKcvH8sv5mmlGsHebhg6kakWQnSf/Bcm\nBpeKLPCPbf25c/8A7gGw5qHudz8oOQo6FwgaqZVebH1eyxZPvrWbCx4g9C6w5BVQdGfWXpceB50B\nAodD4X7nra/JyVITv/14P2G+Rgqq6lm9v9VZQE5RXF1PfaPtrOONNjtvb8liRkKgdAtwsNggrcNE\nc93wv9Yew2yx8ejFSQ7t1nHrjFhsqsp5/9rIg/9LY8lLW5j41FrufHc3H+46RZifO8XV2ljnX3+4\nj+Lq+jOuL6tt4LrXtrMnu4Jnr5nAjedIqYwQfUmCYTG4VGa3HQy7+8H5f4TcnbDvg+7dv/Q4BCZq\n9cF5qbD2MRhxoVZDPNh5BEDCAm2gSPMPE6XHwD8OIlOcnhlWVZWHVqbhYtDx0T0zSAzx4tWNJ8/4\niNxZKkwWFvxzAxc8u5E9ORVnPPflgQIKq+slK9wLYpo6TGSXmThaWM2yHTncOC2a4cMc2685PtiL\n//38HOaMCOabQ4UowC/mJbDirnPY9/h5vPuzqXz34FzunZ/Imv0FnPvPDWxpKuOpMFlY+so20otq\nefXmyVw2QTqJCNHXZAOdGDwa67SWam0FwwDjr4M978J3j8Ooi7s+UKLkqFYOMeF6SP8GxiyBybc5\nZ8CHM4y9ElZ9o/1AEX2OViYRNALCxkPacqgpBO9Qh77k7qxytmWU0WhXmR4fyPSE1occfHmgkNTs\nCp65MpkIP3fumh3Pbz7ez7eHi1rabTnLBzuyqWmw4ulm4Or/buMvS5JZOiWqZchGfJCnwz62F6dF\n+XugU2DV3jze3pqFt9GFBxaO6JXXmhwTwOSYtv9/4uFq4KELRnLl5EhueG07r2zMZGZiECt2nSKj\nxMSyO6cxIyGoV9YmhGifBMNi8KjM0R7b62igKNpmulfmwPq/wqK/df7+jfVaGUby1VoQfcsXPVru\ngDTyIjAY4eDHWp10WYZ2LHSc9nzBfocGw+uOFnPXe7tptGnZ3edb6j2DCfdzJ8LPnXA/dzzd9Dzz\n9VFGhXpz1WRt8+RlE8N5ZWMG9y7bw2OLR3PDtBh0ur7/oaXBauOdbdnMGRHMf66fyL3L9vLwJ/tp\nsNqoabCyP7eKP142xilrG+xcDTqSI3zZlF6Ki17hL1eMw9/TteMLe1FckCeXTojg9U2ZVJotrN6f\nz4QoPwmEhXAiCYbF4NHcVq29zDBA6FgYewUcWAkX/gV0ndw9Xp6hdZII6p3M0oBg9NE20h1apZWK\n2Bu134/mzYPp30Digs7/nrZjd1Y5d7+fyshQb96/fRpGFz3vbcvm5Q0ZbDxecsa5LnqFRpvKuz+b\nir4pqHQz6Pnknpk88OFeHv3sEH//5hiTY/xJiQ0gJcaf8VF+fdLP97N9+ZTUNPDvpfH4GF149abJ\n3P7OLh79TNuIODHajysnR/b6Ooaqj++ZgcVmx2jQ95sfOBYlh/LfDRn8d0Mmh/KreXTxaGcvSYgh\nTYJhMXhUZGuPHQXDoNX5HlgJ+Xu1etfOKDmqPQaP6tbyBo2pd8KRz7XpdKAFw81B8q7X4cT3MOsB\nrSTF4Nbtl3lraxbeRgPv/mwafh5aNu/OOfHcMTuOcpOF/Mp68qvqyK/UvgI83ZgzIviMe/h6uPDG\nLVNYfaCAbRll7M4qZ92xY4AWQF80Nox/LR3fa7v1c8rM/Ovb44wK9WZmolbeYXTR89rNKXyRls/k\nGH8SQxxbvyrOZNDr+l03huQIXyL93Xl1YwaKAhcnyzANIZxJgmExeFRkgYsHeAZ3eCoJ52qdEdK/\nPTsYrsqDrS9ox+Png2dTjWrJce2awI6nUw1qcXNg3m+1qXsAQcO1x+s+hGNrtAEdX9yvlaHM+BVM\nugWsDVqJShdqtDOKa0mO8G2ZENZMURQCvdwI9HIjObKNIQeHVoFPJERNQadTuHR8OJeODwe0DUup\n2RVsOF7Ce9uzCfJy47FLHJ+Zyyo1cd1r26m32vjn0pQzuhd4uBq4Zkq0w19TDAyKonBxchivbMxk\nalwAob7SW1oIZ5JgWAweFVngF9O5zWweAVrNa/ra05Pqmu18FXa8DDsAFAifCIkLIXuLlnV2kX+4\nmPMbKDwAJcfA2BSQ6nSQdAmMWqyNZ970L/jmd/DN7wEV3P3h14fAtePhAXa7SlaZiZmJ3aijtJhh\n1T0QNxtuWHnW0/6eriwcPYyFo4dh0Cu8ueUkYyN8uGKS40oVTpaauO7V7TRYbSy74xxpmSbOcsn4\ncF7ZmMllE8KdvRQhhjwJhsXg0dVxwMPPh3VPQ20JeP0om3x0DcTNhYWPax/5n/gONv1Dqxcetdjx\n6x6IdDpY+p42ee+nFEXLvCecC6d2wfGvtdriLc/BkdUw/poOb59fVUd9o5344G5M3cpcpw1FKTvR\n4am/W5TE3pxK/v3dcZZMjHBI79mMklque3U7NrvK8rvOYVSoBMLibGMjfFlz3yyS5O+HEE4nwbAY\nPGoLIWJS588fvlALhj+5E8yl2thh/zgoS4dpP4eIydrX3N9AXQVkbYZhY3tv/QONTgc69/bPiZoC\nUVNotFrRHVyFfv8KLRhe92dtnPWkm2HYmLMuyyzRhiTEB3l1fV1H12iPFdlgtZw9jfBHXPQ6bjon\nhgdXprEnp6Ld1lhtqalv5C9fHeW8pGFEBbhz3Ws7UFUtEB7h4H62YnAZE95GmY8Qok/1r10FQnSX\n3QbmMvDqQq/W0PFaWcWpHVCdD6v/T9tUBzBy0ZnnuvtrJQABMhihO57/IYM3qqagZq6HLc/Dhmdg\nxyvw8gz46hFtrPWPZJbUApDQ1cywzQrHvgJXb1BtpzuMtOOCsaEYXXR8urd70+re3ZbNsh053Pb2\nLhY9vxlVheV3SiAshBADhQTDYnAwl2llDJ5dCIZ1OvjFNvjNSbjmfajO1cohwieBr0yBchRVVVm1\nN4/lDTNQVDusfRQip8JDxyHldq0++7snzgiIT5aa8HIzEOzdxW4Up7ZDXTmk3Kr9uhOlEl5uBs4b\nHcrq/fnUN9pYd6yYE8U1nZpcV99o460tJ5mVGMTjl4xmcrQ/K+46x+ETzoQQQvQeKZMQg0NtsfbY\nlcwwnN7MFTMDxl4FBz/SJtMJhzmYV01uRR0QxgnXJBI5BVe8ov1ZXfxPQIUtz2p/FnN/A0BmqYm7\nvDajfLISLnvxdIu2+irY+HdoqNU27v34y1oP+5aB3g2m3a11BOlEMAxw+YRwvkjLZ9Yz6yit1eqg\nowLcmT8yhPmjQpgeH9hqT+KP9+RSWmvhF/MTmJEQxG0z5ZMDIYQYaCQYFoODqZvB8I+d/zTYLFp/\nXOEwaw4UYNApLJ0Sxe277ubTO5LxD4jXnlQUWPRPbZT2uj+BizvM+BWlxQXc1fg6HDCDzgCXv6yV\nPCy/VhsB7RGgBcY2y5kv5uYDcx4C30jwCOp0MDxnRDARfu64u+p54tLRVNU1su5oMSt35/LutmyM\nLjpmJAQxf1QI9RYbn+7Lw9RgpcxkYXykL9PjWx8RLYQQov+TYFgMDrVNE8m6UibxUz5hcM17jlmP\nALQSia8OFjA9IZBbZ8SybEcOnxUEcEucysG8ar46WEBskCeXXPQc7o118O0fsChGFps24maog/HX\nQ9oyOLUTKk5qwe7Nn2q9jkEbkV1fpX0pOgiI18pfQOsH3clg2EWv44eH5uKi07VMKbthWgz1jTa2\nZ5ax/lgJPxwt5oej2g9d46P8GBfpR4XZwr3zEx3ShUIIIYRzSDAsBofaIu3RqxMDN0SfsNrsfLE/\nn+wyM3fPTWDEMG9Gh/nwxBeHeebrY9Q12lAUrVT4j6sNLJ3wa34dU4vXNw9xh96F/MiLiLj8JXDz\n0qb/jb0SJlx/5iZGF6P25T3s7AUEJWp9pDvJzXB2GYTRRc+8kSHMGxnC45eMJrPUhE5RiAvqRss3\nIYQQ/ZIEw2JwMBVrtaJu0rPT2XLKzPxv9ylWpp6iqLqBSH93LhobCsDfrhrHt4cKMVtsxAV7sjg5\nnKOF1SzbmcN7uwp433Yj73uUMMF2EPOMh5rKKP7evYUEJsLe96G+WhsX3UOKopAQ3I1Wb0IIIfo1\nCYbF4FBbotULy8fVfUpVVb47Uszh/GpcDTo2pZewNaMMnQLzRobw5KVRLEgKwUWvlS6MjfBlbMSZ\nvVWnxQcyLT6QxxY38FFqLg/veBRXczGrEif0bHHNY7PLTnSt/7QQQoghRYJhMTiYisFTSiT6UnF1\nPY98cqCljha0DgwPnT+CKydHEubbwUCOnwj0cuPncxO4c3Y8Fpu91e4NXbthczCcIcGwEEKINkkw\nLAaH2hLpDdzH/vDpQbZmlPKHi5O4aXoMFqsdT1dDywa07tLpFIy6HgbCoG2mMxhh/wqt3lgnbdWF\nEEKcTf51EIODZIbPklFSy6H8ql65d3FNPd8fLeaWGbHcMTseN4Meb6NLjwNhhzK4ae3yTnwHG/7q\n7NUIIYTopyQzLAY+ux1MpT3rMTyIHMyr4r7le8ksNaHXKbx8wyTOHxPq0Nf4ODUPm11laUqUQ+/r\ncFPugPy92vjn/L0w/HwYfh74xzp7ZUIIIfoJCYbFwFdXDqqtZz2GB5FvDxWSVWbiqcvG8PGePO5d\ntpdHLhpFuJ8RD1cDnm56PFwNmBqsvLYpk83ppZw/JpTbZ8WdtbmtNaqq8uGuHKbGBvT/7gqKAhf/\nSxvScWQ1pH+rHQ8aAZDE6+MAACAASURBVInnwcQbYdho565RCCGEU0kwLAa+llHMUiYBcKKklugA\nD26eHsul48O5/rUdPLX6cKvnehsNzB8VwtrDRXx5oIDND59LsLdbm/dWVZVP9uSRVWbmV+cO7623\n4FguRq1c4vyntc106Wu1oHjX67D/Q3jwGOjlf4VCCDFUyb8AYuBrHsUsmWEAMopNJIZoGVs/D1c+\nv3cmeZV1mBps1DVaMTXYMFusNNpU5owIxtfdhYySWhb8cwPLd+Zw34LhnCiuYVdWBbX1VmoarNTW\nW6ltaORYYQ1puVUkhnixKDnMye+0GwITtK9z7oYjX8CHN0L2Zoif5+yVCSGEcBIJhsXA1zyKWWqG\nsdlVTpaamDfydJbcoNcRE9j+xLSEYC/mjAjmgx3ZLEoO5fIXt1LbYG153svNgJebgQBPV/60ZCxX\nT47C1TDA998mLAAXDy0ojp/n7NUIIYRwEgmGxcDXnBmWYJhT5WYsNnu3anlvmR7D7e/s5qr/bsOg\nV/jq/tlE+rs7pF1av+TqAYkLtVrii/7e+dZrqgq734TQZIia2rtrFEII0esGeGpHCKC2CPSuYPz/\n7N13eFRl9sDx7zuTnpBOQgIkEELvHenFgqBiAwVkUVF07W1tP911XVdXXXct2MACNlwLCiogRRHp\nvbcAoYSEQAIJ6clM7u+Pd2IoKROSyZScz/PMc8nMnbnvJcnkzLnnPW+os0fidAdO5gLQKqrmwfDQ\ntlHEhQeQlV/Ca2O70j4m2PXapdW19tdA7nE4tqH8vqwjkLEfslMg/xQU5+uOJQBWC/zwAPz0CKyb\n7pwxCyGEqFOSGRbuLf8UHNukewzLUsx/BMOJF5EZNpsU/72pK6lZhYxoH13XQ3NNbS4Hkzcs/ivE\n9YODy3QLtoqYfcHsDcW5+jnFefU6VCGEEI5RbTCslPIDlgO+tv2/MQzjb0qplsCXQDiwCZhkGEax\nIwcrxB/OpMKqabBxJpTkwaBHnT0il7D/RC6RQb6EBHhf1PN7xofTM76OB+XK/EKg1+2w/Ss4uhai\nO8Ll/9QlNyUFYCm8cNusN6yboYNiIYQQbs+ezHARMNwwjFyllDewQim1AHgE+K9hGF8qpd4DpgDv\nOnCsQujWWCvfgC1fgFEKncfCwIcgqr2zR+YSDpzMo1XjqifLifOMekXfDMP+qwtbvoDCLMeOSwgh\nRL2oNhg2DMMAylIg3rabAQwHJtjunwU8hwTDwpGyjsC7/XXQ0nMy9L9fVhI7i2EY7D+Ry1Vd3LDl\nmSuoSZmNT6CuKRZCCOH27KoZVkqZgY1AIvA2cADIMgyjrPdSCtDUISMUokzaVn2Z+vafdX1nA1Jk\nsXIyp4hmYQEVPp5XZCEtu4DsghLXXxXOE/gESc2wEEJ4CLuCYcMwrEA3pVQo8B1Q0TVpo6LnKqWm\nAlMB4uLiLnKYDVBRru6Bam+7p4bgVLLeNrCSiPQzhUyZtZ59x3NZ9PBgWkSWl0EUFFuZ9msS05cf\npMSqfwXbRDdy1lAbDt8gqRkWQggPUaNuEoZhZCmllgH9gFCllJctO9wMSK3kOdOB6QC9evWqMGAW\n50nZAB+M0DPWQ5pCSHNoc4UuC3AVmz6FM8dgyBN6MtvnYyE/U088Coq23aIgtht0GFM3xzx9CPzD\n9KSnBmJnajZTZm4gp7AEkwleX7KP12/uDsDiXek8N28nx7IKuK57U3rEhRLg48UlrSKcPOoGwCdQ\nMsNCCOEh7Okm0RgosQXC/sClwMvAr8CN6I4Sk4G5jhxog3Jsk972ngJ5GXByDyx6BmK6QctBzh1b\nmVVvQsY+KLXA/iWQdRg6XqtXg8tNh/SdejGMUgs8llQ3C2KcPtSgaoSX7k7n/tmbCfH35uu7+zNv\nayrvLz/AVV1imb3uCEv3nKBNdBD/m9qPvgkSANcrn0AoLQFLMXj5OHs0QgghasGezHAMMMtWN2wC\nvjIM40el1C7gS6XUC8Bm4EMHjrNhOX1Il0iM/Jee1FNSANP6wMIn4a7lYDI7d3wFWToQDoiE5a/q\n+27+AtqNPne/sgz34ZXQ8braH/d0MsR0rf3ruLijp/L5z+J9fL/lGJ1iQ/hwci+igv2IDfXj8zWH\nueOTDQT4mHl6VDtuG9ASb7OU0tQ7H1tddnEueIU7dyxCCCFqxZ5uEtuA7hXcfxCQtUgd4XSyzoCW\nzW739ofL/wFfT9Z9dXtPceboINWWub72XdjzA0R3vjAQBh24+gTBoRW1D4ZLrbqbRIdra/c6TmYY\nBqqSrgWZuUVM+3U/n605jEkp7hrcigdGJBLgo39NQwN8+PuYjqw9eIqHLmtNTIh/fQ5dnM3HVrdd\nnAcBEgwLIYQ7kxXoXNGpZAhPOPe+DmOgxSBY8hy0vhxCmztlaACkbNTb5n30Cl6VMXvrrg+HVtT+\nmNkpuuTCjcskdqWeYeIHa7h/eGtuH9jyj/vziix8uCKZ6csPkl9s4abezXlwRBuahPhd8BrX92jG\n9T2a1eewRUXODoaFEEK4NQmGXY1h6DKJVsPPvV8pGDMN3h0A3/8Z/jTPeZ0mjm2AyDbgH1r9vi0G\n6gA+9yQENa75sfIydOBx+pD+2o2D4dnrjnA6v4Tnf9zFvvQcRnWO4VBmHm8u3U9GbhEjOzbhsSva\nkhglrdFc3h9lEhIMCyGEu5Ng2NXkpoOlAMJbXvhYWAtdRzzvPljzDvS/r96Hh2HAsY2QeJl9+7ew\nTfg7fF6pRO5J+Pkp3TEjugNE2W6NmpSXhxz8DWbfrLPicZfo+yr6f3EDxZZSftyWyujOMcSE+PHB\nimS+XH8UgD4tw5n+p570iAtz8iiF3f7IDEt7NSGEcHcSDLuasl66YZUEfd1vgb0LYOnfdfY4uoO+\nP30XLH8FhjwJka1h3XQw+9R9fXHWEcg7CU172Ld/RXXDRTnw+Y1wYrfOLm/9onx//zCI6ggRrWDr\nl7o0YsccXTdt8oJg91zb5bd9JzmdX8INPZsyvF00fx7aiqQTuZhNil7xYZXWEQsXJcGwEEJ4DAmG\nXU115QBKwdVvwLuXwJypcOdS8PKFZS/C7h9g70KISIT07YCCZr0hpsuFr3MqWbdEy8vQAbO9rc+O\nbdDbZr3s29/srbO6O+ZA53H6OHPvhePbYfxs3T85LxNO7NTBcfpOOLELdnwLsd1h6BPw6XWw+XMI\njXN+J42L9N3mFCICfRjUWpeKRAT5EhHk6+RRiYvmY1vYRMokhBDC7Ukw7GpOJ4My6cCvMkGN4Zq3\ndAnBspeg522w5yfoMVlPNEvdpAPmJX+HhU/BrT+CtVi3OEtarG+ZSeWvt/ptuOw56H1H1WNL3wXL\nX9Nt36I72X9Ol/9Dj3XmKFBmneG97n0dCAMERkDLwfpWxjB04G8YOlN8Ymfl2XIXd6awhCW7TzCh\nT5y0QfMUkhkWQgiPIcGwqzmVDMHNqm/k3/ZK6PEnWPE6pG4GFAx5HEKagdUCZi/djuynR+DjKyFt\nK5Tkg9lXT2rrPcVW92vAT4/C/L9A877QpPOFxyq1wupp8MsL4BsMN36sM772imoPU3/TxzB7w/Bn\nIDi26ueUlQ0oBd0mwKL/c9vJc4t3plNsKeXqrtWcs3Af0k1CCCE8hgTDrub0IQiLt2/fK17Uk8wO\nLtP9d0NsLbfMtm9rz1th21eQkwbdJkLry/SENp+Ac19n3Cx4s7vOIk/+oTwQBTh1EL6/B46shnZX\nwVWvX1xXCP9QuGFGzZ8H0GUc/PpixYG6G/hpexpNQ/3pEWdH9w3hHiQYFkIIjyHBsKs5nayzvvbw\nbQTXz9Ct1gY+dOHjJjNM+bn61/EPg2H/B/Mf03XHHa7R5QkbPoJFz+rXufY96HrzuYFyfQmKgkd2\n6qy0m8nOL+H3pJPcNqClTJLzJCYzePlLmYQQQngACYadxVIM6Tt0Z4WyW2G27tRQk9rYuL7wwKba\nj6fnbTr4/XYKnHwcjq7RE+wShsKYt8uzzs7i755tx37edZwSq8HozjHOHoqoaz6BkhkWQggPIMGw\nMxiGbi2W/NuFjymz7gBR38xeeiGPnx6GX1/QWa9R/4ZeU5y3uIebKy01+H7zMZqH+9OlWYizhyPq\nmgTDQgjhESQYdoYd3+pAePBfdObVt5G++di23hcuw1svghrDuE/hwFK9HPT5S0ILux3LKuCxr7ay\n+mAmf7mirZRIeCKfIAmGhRDCA0gwXN+KcmDRM7Yeuk+5Xt9cpSDxUmePwm0ZhsE3G1N4/oddlBoG\nL13fmZt7N3f2sIQj+ATq32chhBBuTYLh+rbiv7q7w02fuV4gLGolI7eIp+ZsZ/GudPq0DOe1sV1p\nHh5Q/ROFe/INgsIzzh6FEEKIWpJguD7lnoA170KnG+1fwU24hXXJp7j7s43kFll4ZnR7bh/QEpNJ\nSiM8mk8gnElz9iiEEELUkgTD9en318BSBMOedvZIRB3afyKXO2atJ7KRL/+b2o/W0Y2cPSRRH6Rm\nWAghPIIEw/Ul66huXdZ9IkS0cvZoRB1JSs9hyqwNeJtNzLqtj5RFNCQ+gdJnWAghPIAEw/XlwFKw\nFkP/B5w9ElFLhSVWVu7PYO6WVH7YlkqQjxezpkgg3OBIazUhhPAIEgzb68QevRJaQPjFPT/nuN6G\n2rnUsnBJJdZSrnzjd5Iz8gjy9WLq4ATuGtyK8EAfZw9N1DefILAWgbUEzN7OHo0QQoiLJMGwPfYv\ngc/H6R7Aw5+BXrfXvBNEznEIiAAvCZrc2ZajWSRn5PHM6PZMuiQeXy/pCNJg+QTqbXEe+Ic6dyxC\nCCEumiwtVp20bfDVZIhqDzFdYP5j8MsLNX+d3HQIalL34xP16vekDEwKxvZqLoFwQ3d2MCyEEMJt\nSTBclewU+GIc+IXAxK/1csXdb9G9gg+vqtlr5RyHRtGOGaeoNyuSTtKlWSgh/nJZvMHzCdJbCYaF\nEMKtSTBcmcJs+Hys/kM38WsIjtWrs418GcJawJy7arb6lGSG3V52QQlbU7IZ1DrS2UMRruCPYFhW\noRNCCHcmwXBFLMXw1Z8gYx+M+wSiO5Y/5hsEV78O2UcgaZF9r1daqoNhyQy7tdUHMrGWGgxMlGBY\nIGUSQgjhISQYPp9hwA8PwsFlcM1b0GrYhfu0GKRLJw78at9rFpyCUotkhl1YfrEFwzCq3GfF/pME\n+JjpHhdWT6MSLk2CYSGE8AgNMxguzofMA3D68Ln3GwYsega2fgFDn4JuEyp+vskMLQfrgLmaAAoo\nb6smmWGXVFhipe8/l/L52iOV7pOUnsOP29Lo3yoCH6+G+WsjziM1w0II4REa3l/14jx4tz+81QPe\n6AKLntX3l5bCT4/A6mnQ+04Y8kTVr5MwFLKPwqmD1R8z1xYMS2bYJZ3OLyanyMLMVYcqzA4fOJnL\n+Blr8TabeHpUeyeMULikPzLDsgqdEEK4s4YXDK96C04nw+X/hE43wKo34cAv8P3dernkgQ/DqFf1\nZLmqJNjKJw7aUSqRk663khl2SXlFVgD2n8hl05Gscx47lJHHhBlrAIPZd/YloXGQE0YoXFJZMJxV\n+RUFIYQQF6m0VC9qVA8a1qIbZ1Jh5RvQYQz0v09niVO3wGc3gFEKI/4Kgx6177XCEyAkTtcN976j\n6n0lM+zS8ostf/z7f+uP0DNe1wQfycxn/Iw1lFgNZt/Zj8SoRs4aonBFvsEQ0xV+f033Ix/1KoS3\ndPaohBDC/ax9H357RQe/1mJ9M6yAgps/h3ajHXr4hpUZ/uUFPZHt0r/rr30C4frpemW4K1+1PxAG\nnTlOGALJv0Optep9c9L1H06fgIsfu3CYssxwi4gAftiaRkZuESmndSBcUGLlsyl9adtEAmFxHpMJ\npiyGy/4BR9fCuwNg3Yx6y2QIIYTH2PCxbkzQbQL0uVNfpR/6NJh9ar6uw0Vw/8xwTjp4++n/xKqk\nboEtX0D/+8/N3jTrBY8lVV8WUZGWQ2Dzp5C+U69OV5nc4xAkJRKuqiwzfMegBP42byeDX/mVIF8v\nCkusfHFnPzrEBjt5hMJlefnCgAeg0/Uw9z69QuXyf0Ov26DnrdDIdjUo6yh8fiP0vA363e3UIQsh\nhEvJToGTu3X5av/7zn1s11zI3O/wIbhnZrjUCvsWwRc3wX/awdx7q96/rEtEQHjF2d+LCYQBmvfW\n25R1Ve+Xk17+R1G4nLxinRnulxDO/AcGMbJjE3y8THw6pS+dmlbzIUsIgJBmMOk7mPAVNOkMy16C\n/3aEr2+DpMXw6XVwcg/89rLuZiOEEELbv0RvEy+98LHIRMhIcvgQ3CsznHtCZ2I3ztSTVgKj9Gpw\nqVurft7e+XDodxj1b/APrbvxhMbrjO/RdVXXDeceh6Y96+64ok7lF+nMcICPF7Gh/vznpm5OHpFw\nS0pBmyv0LfMArP8QtnwGO+eAlx+M+Bss/Tts+VxfBhRCCKGD4eBm0LjthY9FtIbdP+rF0Lx8HDYE\n98gMH16tMyz/6QBLn9dB6NiZ8PBO6DperwZXWbbFUqyzwpFt9SXKuqQUNOutg+GK5J7UsyFzZClm\nV1aWGQ70da/PhsKFRbSCkS/CI7thzDtwyxxdA9e0F6x+u/p5BkII4cksRbqDV046HPwNEkdUfJU+\nsrWeSHf6kEOHU20wrJRqrpT6VSm1Wym1Uyn1oO3+cKXUYqVUkm3rmGW5Th2Ej0fCgaU6m3Lverj1\nR+h4nf6UENla75dZSRp9/Qf6Na74J5gdEOw076NbteWeLL/PUgRLnoPX2sAn14ClQNqqubDyzLDZ\nySMRHscnELpPhBYD9Bt9//v1+8X2r509MiGEcJ79S+HHh+HN7lB0puISCdCZYag8xqsj9mSGLcCj\nhmG0B/oB9yqlOgBPAksNw2gNLLV9XffOpOrtuE9g5EvQuM25j0fa0uoV1ZTkn9I1eq2GV/4fXVvN\n++ptWd3wsY3w/mBY8V99zCOr9f2SGXZZecVWfLxMeJvd40KJcGPtr9ZXkxY8Xv7eJoQQDU2J7Wp+\noya6AULCkIr3i2iltw6uG642VWoYRhqQZvt3jlJqN9AUGAMMte02C1gGVLNs20XIP6W3AZEVPx6e\nAMoEJ/de+Njyf+tPHJe/cPGT5KoT0w1M3nBohQ6EV7wOQVEw8RtofRkkL9dZ4ma9HHN8UWv5xRYC\nJSss6oPJDNe9D+8NhG+mQJNO+k0+pKme/xDW0rZtAYGVvOcJIYS7sxTp7S3f6pipbBGj8/mHQmBj\nh3eUqFHdgFKqBdAdWAtE2wJlDMNIU0pF1fnoAPIz9TYgvOLHvf10DXHGvnPvP30Y1s/QPeuiOzpk\naH8cP6YrrHlHf91tIlzxYvlEvZaD4c5fHHd8UWt5RVYCfKReWNSTiFb6A/pPj0DaFl3qdWIX5Kaf\nu9/gx2H4/zlnjEII4UiWQr319q88EC4T0dp1gmGlVBDwLfCQYRhnlJ2ZVqXUVGAqQFxcXM1HWBYM\n+1cSDIOegXh+Cv2XF3TGeOjTNT9mTXW4BvJO6hWo2lzh+OOJOpVfbCHQVzLDoh71nqL7lIfGlc+Q\nLs7TXXJOH9KdKFa9BX3vkgyxEMLzlGWGvXyr3zcyEfbMd+hw7CqSVEp5owPhzw3DmGO7O10pFWN7\nPAY4UdFzDcOYbhhGL8MwejVu3LjmIyw4Dd6BOgNbmUjbp4ayGdp7F8D2r6Dfn/XlR0cb8CA8tE0C\nYTeVVyyZYeEEkYnntgryCYSo9tD2Sj3h11KgV7QTQghPU5YZ9qoitisT0RryM3Q86CD2dJNQwIfA\nbsMw/nPWQ/OAybZ/Twbm1v3w0JnhgIiq94lsC9YiyDqsV5n7cqKu5R34iEOGJDxLfpFkhoWLadwW\n2lwJ66brjLEQQngSa7Hemu3JDNs6SmQ4rlTCnszwAGASMFwptcV2GwX8C7hMKZUEXGb7uu7ln4KA\narq2Rdo6TCx8Gr7/M7QcpNuv+ckyuqJ6khkWLmnAg1BwCl5tDdP6wI451T9HCCHcgaVQNx8w2RGG\nhifo7elkhw3Hnm4SK4DKCoRH1O1wKmBXZtj2qWHfAuh4PVz3nn11KEIg3SSEi4rrBzd8qLvUHFoB\n39wGyb/BVa87rjuOEELUB0uRfSUSoOdWgL767yCunw7Lz9RthqoSEA5tR+lZ2pc+b98nDSFs8oos\nBMjqc8LVKAWdb9Q3awkseAI2fAh9pjq2Q44QQjiapdD+pKW3PwRF6y5hDuL6UWPBqeozwwDjZ+t2\nRRIIixrKK7JKZli4NrO3XskOHL4sqRBCOFxNMsOgW+g6MDPs2pGj1QKF2fYFw0JcBGupQUGJ1AwL\nNxAar7cOzI4IIUS9sBTVrJw1NK4BZ4bL2mhUtuCGELVUUKLb8Uk3CeHyAiJ0m8msI84eiRBC1E5N\nyiQAwuIhO0UnSR3AtYPh6lafE6KW8ov0L5ZkhoXLU0r/QXDgpUIhhKgXNc4Mx4NhhTPHHDIc9wiG\nq1p9TohayCuWzLBwI6FxkhkWQrg/S2HNaobDbGViDkoGuHYwXHBKb6VmWDhInmSGhTsJjdd1c4bh\n7JEIIcTFsxbXPDMMDqsbdu1gWMokhIPll2WGJRgW7iAsHopzHLosqdsyDD3hWgjh+iyF9q0+Vyak\nGShTA80M59syw1ImIRwkr9iWGZYyCeEO6qH5vNta/wG81g7yMpw9EiFEdWpaM2z2huBmDTgz7OUP\nPgHOHonwUPlFkhkWbkTaq1XMaoGVb0JJvl6tTwjh2mpaMwwOnUDs4sGwnQtuCHGRyjLDMoFOuIU/\nMsMyie4ce+dDtu3/5PBK545FCFE9Sw1rhsG28IZj3vtcOx1WcErqhYVDlbVWk8ywcAv+oeAXImUS\n51v7nv6gENZSMsNCuIOa9hkGnRnOSYOSQvCuYVa5Gq6VGT6+A/bMB2uJ/jo/U4Jh4VBlrdWkZli4\nDQdmR9xS6hadDe5zFyQMgRO7XLNu2EGLBQjhlmq6HDNAVAe9PbqmzofjOukwSxHMvhmyj0KjWBj+\njC6TKLssKIQD5Bdb8DIpfMyu9blQiEqFxkFGkrNH4TrWvgc+QdBjEpzcq+87vBI6jKn+uSd266RL\ni4H6a8PQN1Mdvh9YiuF/E2H/Ev1BJrI1RLaBPndCWIu6O44Q7uRiMsOthuvf9R1zIGFonQ7HdSKA\njTN1IDzsGf1mP/ceOHVQOkkIh8orshLgY0Yp5eyhCGGfsBa6TELaiEFOOmz/BrpN1OUjsd3BO6Dq\nUonMA7D8VXjnEninH8wcDZs/05MS3+4L302t/LnWElj4FHxyLeTZWn9aimDTp/DRSEj+/dz9DQN+\negSSFkH3SRDbDc6kwZp3YNW02p+/EO7IatGrydU0M+wTAG1Hwe555RUEdcQ1MsPFebD83xA/EAY/\nBgMfhgV/gQ0fQVCUs0cnPFh+sYVAX9f4NRDCLp3HwuppsOK/cOlzzh6Nc234EEot0Pcu/bXZG5r3\nhQO/QqkVTLbyJ8PQCZdNsyB1s74v7hK48lXYtwDmPaBL8vIyIGMv9L4T4vqee6z8U/D1rZD8G5i8\ndBDd9SZY+76uYwQd5LYcVP6c1dNg86cw6DEY8Wz5/R+PhtRNjvgfEcL1WYv01uxT8+d2uh62fwUH\nl0Hry+psSK6RGV43HfJO6DcLpcDsBaP/AxO+hl5TnD064YZKrKXM3XKMZXtPkJVfXOl+ecU6MyyE\n24jtBl1uhtXvQNZRZ4/GeUoKYf2H0OYKiGhVfn+3CZCZBL+8UH7fvp/hx4d04Hz5C/DwTrh9IfSd\nCuM+1f+nygRTFkNQNCz527mr/GUkwQeXwuFVMOYdmPSdrtte8hxEJMIt30K/eyFpcfmCKHt+gkXP\n6nKNYf937tibdofj23UJhRANjcUWDNc0Mwy6VMIvBHZ8W6dDcn5KrDAbVrwOrS+HuH7l9ysFbS53\n3riE28rILeLezzexNlkv2mI2Kcb3ac5Dl7YhMujcGqX8IskMCzc0/BnY9T0sfR5umOHs0TjHjm8g\nPwP6/fnc+7uM02USK/4D0R2h/dWw8Eldp3vHL+B1XjbKNwhu/1lfdvUJgCGPw0+PwravdOb3wC86\nI2zyhlt/LP87NXWZ7msc201/7R8Oa96G3T9CTBf49g5dtnHtexfWIMf20MvRntip9xGiIbEU6m1N\na4bLntP+Gl0e1e/PENO14v2K82v2sjUfSR1b/TYUZuk3dyFqqbTUYNx7q0nNLuDVG7vQNNSfBTuO\n88W6I8zdnMo9wxK5bUAL/Lx1Nlgyw8IthTaHfvfogK/fn6FpD2ePqH4ZBqx5T88ubznkwsdHvaq7\nSnw7BRq3h9PJcMucCwPhMmZvfQPoMRk2f65rh3fNhX0LoXE7GD9bt3Yq07jNua8R2123dtvwEeSm\ng3+Yfk5Fi0Y17am3xzZdfDBsGDppJIS7+SMYvsj2aMOf0aVQn4+DW3/SSzV7+Zb/Ppw+BP+7pUYv\n6dwyibwMHQx3GFN5dC9EDSRn5nEwI49nr+rA2F7N6Z8YyT+u7cTPDw2mb0I4Ly/cw4jXfmPe1lQM\nw9A1w9JjWLijgQ9DQKS+FH/2Jf2G4NAKSN+uPwhUFBB6+cLkH3R5wulDOpOUOMK+1zZ7w20LdKu2\nvT/pq5ZTfj43EK6IUtD5Rl0LXJAF47+ERk0q3jc0Ti8odewi64aX/xv+FQfLXq5xBkwIpysrD7qY\nzDDo36tbvoGSApjWE/4ZDX8PhX9EwUtxMK0PnK5Z+0nnRgEr/qsvM51fTyXERdpyJAuA3i3O7UKS\nGBXEB5N7s2p/Bi/8tJsHZm/moxXJpGUV0jIyyBlDFaJ2/IJh2FP6kv7e+dButLNH5DjFebpGONC2\nIumad3Uw2Xls5c/x9tclD33vrnkGytsPRr0C/e+D4Gb2t1rrNkFnky97XpdKVEYpXSpRk0l0B5fp\nwDd1k+6GEdEalr2oJ+hd9nfoeL1+XUsxrHpTfwA4P3sthCuoTZlEmaj2MGURHFiqa5AtRfp1y+qR\n+9wJTyfa/XLOD8lb/QAAIABJREFUC4bPpMH6D6DLTdC4rdOGITzLlqNZBPqYadW44gC3f2IkP9w/\nkDmbUnj1571k5hUTJAtuCHfVY7LuZrD4rzqDWXapv6Z2zdWlAaeT4Y6lOtB2JfMegGMb4YHNeoLa\nvgXQ/wEd8FanNudS0z734Qlw33r79m3aU/8hL84Dn8Cq9936JXx3V/nXXW6Ga9+BI6thwZPwze2w\nboYOwn//j/7/KcrRQbIQruaPCXS1CIYBotrpWx2o/2D49GHwbaQ/2ZZaYMgT9T4E4bm2pmTRpVko\nZlPltXRmk2Jsr+aM7hLD1xtS6JsgvayFmzJ76wBo9s26dVifO2v+GkfWwld/At8QKMqG9B0Q379m\nr1FSoG+OWDG0OE93ZrAUQNpW3dnBKNUT49xZ0x76PA6vOrdFVEaSPt99C3X2u8efdPY/fgBc9g99\nNTW+v24b12Ig3PWbzg4v/Qd8aHsds295uzchXE1ta4YdoH6D4byT8EbZpSMFvW6D8Jb1OgThWQqK\nraw5mElIgDcdYoLZnXaGOwYl2PXcAB8vJvdv4dgBCuFobUZCi0Gw7CXdScEvpGbPT1mnt5O+gw+G\n62CsumD48Cr49k6YPE+3NZt7r67jvW99zY9fnaTFOhAGXQ6SeQACG+syA3cW1w8axcBXk3UG98wx\nHQRn7NOPN+kC6btgz4/gFwrXT9cThc5nMkPPW6HjdXoOTlR7XUZyJrVeT0cIu1nLaoYbajCcnQJt\nx0GzXpCxH4Y+Va+HF+6nxFqKl0n9sUKcYRgkncjlt70nWZ50krXJpyi2lBLgY+bVG7tSYjXo1jzU\nyaMWoh4ppXvnTh8C390NN3xYcQeDyqRu0XWxsd10RjGzmqWeDUOXZZxJgZWvw6BHYed3Osv52ytw\nxT9rdz7n2z1PTxSMaAW75kFOKrS7um6XTHYGvxC481edlZ//mF7II36AXvCj7ZW6Y0hepl7II2FI\nxYHw+a837Gn9753f6wy/EK6oLDN8MYtuOEj9BsMBEbrBuVlm74uqlZYafLXhKC8v3EOnpiG8P6kn\n21OyeeybrRw9pbNEraOC+FO/eLo2D+Wxr7fyxLfbACQYFg1PbDe9mtqCx2HWVTDxG/tLFtK26Oeb\nzDrgzNhf9f77l0DKel1Pu/VLPalLmXSGeu17+rK+vfNAso7oeuCCU7qGtmlPnfFt3FaPp6RQL5jR\n+Ua9uMUiWwvONlfY9/quLjhGt4ZKWad7IvuHnft4YMS5K9fZ/bqxOqMu7deEK6rNohsOUr9RaWic\nBMKiSqlZBczdksqcTSkkncilY2wwK/dncN3bqziYkUvz8AD+dX1nBrdpTGxo+eSZQxl5vLZ4HzEh\nfkQHu84vmBD1pu9UCGmqL7svehaufbv65xSegcz9ekIW6IDzxK7K98/L0Cu7hcbBxG/hnb568YtO\nN8KVL8NbPWD6UIjupNtlxnTRl/uj2pdPlinK1UsiH98Oy1/RyybHdtNN9Dd8pPfxDoQmnXVXh+Jc\n3X4zNF4HwyZvaDWsVv9VLsXLR9f+1qVGMVCSB0Vn6r5sRYjaqotuEnVMIlNRb+ZsSiE0wJvh7aLP\nuT+nsIQFO47z3aZjrEnOxDCgZ3wYr9/UjTHdYpm//TgPfrmZS1pFMG1CD0L8L5wxf+fgBOZuTaVr\nM8kKiwas3Wi45B5Y+Qb0uh2a9ax6/+Pb9basz3tka12Xay3Rk/MMQ19u37dQZ2hTNgAGXD9Dt+3q\ncC3snAOX3AuBkXDLd7D9K0jbprPG622r45m89axv/3A4sgastsxQk84wdpbOSJeWwqkDumvEsY2Q\nvlNnjpv21DXRZm89zkYxehK2qFxwrN6eSZNgWLieBp8ZFg3Wop3HeeSrrfh6mZj/4CASIgNZnpTB\n1xuOsnhXOkWWUlpEBPDgiNZc170p8RHlrYZGd4mhX0I4YQE+mCrpEuHnbebH+wdW2UVCiAZh8F9g\n6/9gwV9gypKqa2vTtuht2ZLCEa11l5/Th3TnhsV/1RO7QJcvDH1Sl0OU7T/yJWh/VfkKeM16lgfg\npaW6VVvaVji+TW9zT0DvO6DVcIjuoAPbssv4JpMOxiNbQ9ebKx7vpO91ba2oWqMYvT1zrM5aTwlR\nZ/4IhhtqzbBoUI5lFbB453GC/Lz5+w876RATzLGsAh79aisJkYHM2XyMsABvxvVqznU9mtK9eegf\nE+XOFxFU/eWUsiWWhWjQfBvBpc/B93frPrZnt+06X+oWaBQLQVH668jWentiNyx8UndtGPqU7mHc\nKPrC5zdqAp1uqPi1TSad8Y1oBZ2ur80ZlXNE6zZPFGwLhqW9mnBFDb61mmgwDp7MZfyMNaSf0Z8A\nQwO8eX9STzYfzeKB2ZvZmpLFgyNac++wRHy83HxWuBCuptP1sPAJXYdbVTBcNnmuTIRtxaY17+pW\nmFe/Ce1GOXasou41OqtMQghXU5YZNkvNsPBg+0/kMmHGGqylBt/d0x9/HzPRjfwIC/ShWZg/2QUl\ntIkKom9ChLOHKoRn8vLVk852zNHdHs5vtXb6sF65LiNJT34r4x+qs8FHVultVYG0cF3efro+O0d6\nDQsXZC3SbdVcqD2iBMOiTu0/kcP4GWsxDIPZU/vRJvrciS5KKSb1i3fS6IRoQDqPhU2f6MlvZWUK\nR9fB6mmw+wfdDq3zjReuWhfRWmeFu9x08cs7C+cLjpXMsHBNliKXygqDBMOiDiWl60AYYPad/Wgd\nLTO+hXCa+AF6ItXGjyE/U3d3OLZBdxcY8CD0mVredeBskYk6M9z9lvofs6g7jWIkMyxck6XQpdqq\ngR3BsFLqI+Aq4IRhGJ1s94UD/wNaAIeAcYZhnHbcMIWr23s8hwkz1mAyKWbf2Y/EqCBnD0mIhs1k\n1pPbVk+D5OW6HnjUv6HrePCt4vez9x0Q2Ub3BhbuKzhGd/AQwtVYilxq8hzYlxmeCUwDPjnrvieB\npYZh/Esp9aTt6yfqfniiPuxLz6GopJTOzS6uH2VhiZVbPlyL2aSYPbUfrRpLICyESxj8GMR00+3O\nwlratxpZTNfyvsPCfTWK1eUuZT2jhXAV7pgZNgxjuVKqxXl3jwGG2v49C1iGBMNuJ+V0Pi8t2MNP\n29II8DGz8onhhAXWvO/fb/tOcjKniFm395FAWAhX4h8GXcY6exTCGYJjAANyjkNoc2ePRohyLpgZ\nvtipfNGGYaQB2LZRdTckcTEs1lLSsgswDMOu/X/eeZxRb/zOr3tOMKlfPPnFVj5Zffiijj1/exph\nAd70byXdIYQQwiWUtVeTXsPC1ViKXGrBDaiHCXRKqanAVIC4uDhHH67BSc7I47VFe1m+7yRnCi1E\nBPpwdddY/nZ1hwoXsCi2lPLSgt18vPIQXZqFMG18D+IiAkjLLmDmqmTuHNySAB/7fywKS6ws3X2C\n0Z1j8Da7TpsUIYRo0EKa6W3mAWjex7ljEeJslkKXywxfbDCcrpSKMQwjTSkVA5yobEfDMKYD0wF6\n9eplX9pSVKu01OCztYd5af4evMyKKzs1oV2TYFYdyGTmqkMMbxfF4DaNz3nO0VP53PfFJramZHNr\n/xY8Naodvl561bY/D23FDe+u5vaZ68krstKpaTD3DkukWVhARYf/w4qkDHKLLFzZuYnDzlUIIUQN\nNW4HgVGwfzF0G+/s0QhRzlJ0Ye9zJ7vYYHgeMBn4l207t85GJKqVll3A499s4/ekDAa3acwrN3Sh\nSYj+lDWxXxxDXlnGtF/3nxMML9yRxl++2QbAe7f0ZGSnc4PXnvHhDG8XxcbDp2nXpBHfbjzGNxtT\nGNerOfcOSyQ21L/CsczfnkaIvzcDEiMddLZCCCFqzGSCNpfDrh9kEp1wLdYi8HKtpdXtaa02Gz1Z\nLlIplQL8DR0Ef6WUmgIcAWSGhgN9tCKZFfszuH94Iocy8/jr3J1YrAYvXNuJiX3jzimH8PUyM3Vw\nAs//uIv1h07RpVkIL83fw8xVh+jaLIRpE3rQPLziT2Qf3dobwzBQSpGWXcA7vx7gy/VH+HpDCuP7\nNOeeYYlEB+ugu7TU4K1f9jNn8zEm9I2TEgkhhHA1ba6EzZ/BkdXQcrCzRyOEZrGtQOdClL0TrupC\nr169jA0bNtTb8TzBop3HmfrpRrzNihKr/l71jA/jtbFdaREZWOFzCoqtDHz5F/KLrZhNitwiC7cP\naMmTV7bDx6tmQWvK6Xze/nU/X29IwWRS3NI3np7xYXyy+hBrk09xffemvHh9Z/y8zbU9VSGEEHWp\nOA9ebgm9p8DIl5w9GiG0N7pCsz5wwwyHHkYptdEwjF527SvBsOvacjSLiTPW0CoqiJm39WH2uiP4\ne5uZ3L8FZlPV/UJ/3XOCRbvS8TErhraLYljb2jX8OJKZz1u/JDFn8zGspQYxIX7cM7QVt/SLr3Ci\nnhBCCBfw2Y2QuR8e2Gxfn2kh7GUYsG46tBoOka3tf95r7SDxUhgzzXFjo2bBsCzH7IIs1lJeW7yP\n6csPEtXIl/cn9SQ80Id7hyXa/RrD2kUxrF3ddbyLiwjg1bFduXdYIkdP53NJQgReUhohhBCure1I\n+OlROL4dYro4ezTCkxxeBQse12387lhc3sGkOh7UZ1g40Odrj/DusgNc370pCx8cTExIxZPXnKFF\nZCCDWjeWQFgIIdxBx+vBOwDWvu/skQhPs3U2eAdCcS58dgMUZNn3PEuRy61AJxGNi7FYS5nx+0F6\nxofx6tiuhATIDGAhhBAXKSAcuk2E7V9BTrqzRyM8RXE+7PweOl4LN3+uS3Hm3a9LJ6rjgssxSzDs\nYn7ankbK6QLuHtLK2UMRQgjhCfr9WbdXW+/YCUuiAdk7H4pzoOt43alk+LOwex5s+LDq51ktYFhd\nrkxCaoZdhGEYJGfk8e6yA7SOCmJEHdb7CiGEaMAiWkHbUbB2OjTtpeuIhbhY1hLY8DGExEH8AH1f\n/wcgebmuT1/6DwiOhbCWEN4SwhP0LaIVBETo/V0sMyzBsJNYrKXsSD3DhkOnWH/oFBsOnSYzrxiA\nt8Z3x1RNtwghhBDCbpf/A76cCLNvgk43wpUvQ+BZiyWl74LGbcEkbTIFUJgNO7+DLjeD91lZ3NOH\n4JspcGwDjHxZL+4Cenvjh7BxJmQfgzPH4NRBOLBUl0WU6WpbDdEswbAAnp27g9nrjgIQHxHAkLaN\n6d0inD4tw2nVOMjJoxNCCOFRIlrBXcthxX9h+atw4BcdEHceC2vegZ+fhhF/hUGPOnukorYMAz67\nHsJbwahXa95Sz2qBr2/TgWzWURjxrL5/x7fww0OAgrEzoeN15z7PPwwGPnzufaWlkJOmA+OtX8KW\nz/T9khkWAGsPnuKShAjeuLkbUcGuVTsjhBDCA3n5wNAnoMM1erLTnDthzbuQuglM3rD+IxjwkGSH\n3V3GPv1h58AvEBoHAx6o/jkHfoHv79UTLsNa6EC4cTtY+Qa0vwo2fASbPtFlNjd+qPexh8kEIU31\nLa6fDoqPrHK5mmGZQOcEeUUWkjPz6JcQIYGwEEKI+hXVHm7/WV/mPrkHWl8O170HZ1IgaZGzRydq\na+98vU0YBov/qmt5K2MYsOot3RrNtxGgYM+P0PdumPwj+ATCjOGw6VOd9b19of2B8PnM3jqj3P5q\naNb74l7DQSQz7AR7jp/BMKBjbLCzhyKEEKIhMpmh393Q/Rbdh9gohUXPwPoPoe2Vzh6dqI098yGm\nG9z8BUzrDb+/pjs+nK+0FBb9ny6T6TAGxryjg99TB/XkN5MJRr8Gv70CV/5LrzRXW42i4abPav86\ndUwyw06wK/UMAB0kGBZCCOFMvkE66DF7QY/JsH+JniQlHCN1sy45OLoOkpbAitd1XW5dyT0BKeuh\n3WjwCYBet8LBZZB54Nz9LMXw3V06EO57N9w4U/8sKKXry8smxnW+Ee5bVzeBsAuTYNgJdqWdITTA\nm5gQKZEQQgjhInpOBmXSbbNE3TMMmHMX/PgwfHgZfH4DLPkbLPtX3R1j7wLAKM/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"text/plain": "<matplotlib.figure.Figure at 0x7f5c21052128>" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(12, 6))\n", "for company in companies:\n", " this_data = prep_data(data.loc[:, :, company])\n", " this_data.plot.line('Date', 'High', ax=ax, label=company)\n", " try:\n", " sns.regplot('Date', 'High', data=this_data.query('Date > \"2017-04-01\" and Date < \"2017-09-01\"'))\n", " except Exception as ee:\n", " print('***ERROR: ', ee, '***')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We got an error! That's because seaborn was treating the `Date` column as a number, when in fact it was a datetime object.\n", "\n", "## How do we fix this?\n", "\n", "To fix this, we need to convert the datetime labels to their ordinal (numeric) representation. There are a number of ways to convert dates to numbers. Fortunately, Matplotlib has a convenience function to convert datetime objects to their numeric representation." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "736270.0" ], "text/plain": "736270.0" }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from matplotlib.dates import date2num\n", "date2num(this_data['Date'][0])" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 736270.0\n", "1 736271.0\n", "2 736272.0\n", "5 736275.0\n", "6 736276.0\n", "Name: Date, dtype: float64" ], "text/plain": "0 736270.0\n1 736271.0\n2 736272.0\n5 736275.0\n6 736276.0\nName: Date, dtype: float64" }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Here's how we convert the Period object to a date:\n", "sample_ordinal = this_data['Date'].map(lambda a: date2num(a))\n", "sample_ordinal.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below we'll insert this into our plotting code to see what happens." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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4rX0RakvyuGtr/TmXifzBphoe2neKrasr+PPrL8Btnp3jrC7yAdAZilFbksdAJMknf7qP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GxwbjerNT/8B3DRS3Dyn6D/RGtHV1oAsx6Fx86Cpy+GmY/D1uV22b7FatXr64PbbbdJsA1j0rOs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\nqjq2PsfGo5zjU2Cwi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"text/plain": "<matplotlib.figure.Figure at 0x7f5c210b0048>" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(12, 6))\n", "for ii, company in enumerate(companies):\n", " this_data = prep_data(data.loc[:, :, company])\n", " this_data['Date_Ord'] = this_data['Date'].map(lambda a: date2num(a))\n", " this_data.plot.line('Date', 'High', ax=ax, label=company, color='C{}'.format(ii))\n", " sns.regplot('Date_Ord', 'High', data=this_data.query('Date > \"2017-04-01\" and Date < \"2017-09-01\"'),\n", " truncate=True, color='C{}'.format(ii))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And there you have it - mixed datetime visualization across multiple libraries.\n", "\n", "Note that this is *not* the same thing as plotting an actual\n", "datetime object, we're plotting a datetime *period* above, which is the only way I've figure\n", "out how to make this work.\n", "\n", "Of course, this is all unnecessarily complicated, and hopefully we'll see some patches\n", "that ease this in the future. But in the meantime you can refer to the above method\n", "for your datetime viz needs." ] } ], "metadata": { "category": "til", "date": "2017-11-02", "interactive": true, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" }, "redirect": "date-analysis-viz-python", "tags": "python, open science", "title": "Combining dates with analysis visualization in python" }, "nbformat": 4, "nbformat_minor": 4 }