{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Introduction to Matplotlib\n", "> This chapter introduces the Matplotlib visualization library and demonstrates how to use it with data. This is the Summary of lecture \"Introduction to Data Visualization with Matplotlib\", via datacamp.\n", "\n", "- toc: true \n", "- badges: true\n", "- comments: true\n", "- author: Chanseok Kang\n", "- categories: [Python, Datacamp, Visualization]\n", "- image: images/seattle_austin_weather.png" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "\n", "plt.rcParams['figure.figsize'] = (10, 5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Introduction to data visualization with Matplotlib\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Using the matplotlib.pyplot interface\n", "There are many ways to use Matplotlib. In this course, we will focus on the `pyplot` interface, which provides the most flexibility in creating and customizing data visualizations.\n", "\n", "Initially, we will use the `pyplot` interface to create two kinds of objects: `Figure` objects and `Axes` objects." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Create a Figure and an Axes with plt.subplots\n", "fig, ax = plt.subplots()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Adding data to an Axes object\n", "Adding data to a figure is done by calling methods of the `Axes` object. In this exercise, we will use the `plot` method to add data about rainfall in two American cities: Seattle, WA and Austin, TX.\n", "\n", "The data are stored in two Pandas DataFrame objects that are already loaded into memory: `seattle_weather` stores information about the weather in Seattle, and `austin_weather` stores information about the weather in Austin. Each of the data frames has a `MONTHS` column that stores the three-letter name of the months. Each also has a column named \"MLY-PRCP-NORMAL\" that stores the average rainfall in each month during a ten-year period.\n", "\n", "In this exercise, you will create a visualization that will allow you to compare the rainfall in these two cities." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "seattle_weather = pd.read_csv('./dataset/seattle_weather.csv', index_col='DATE')\n", "austin_weather = pd.read_csv('./dataset/austin_weather.csv', index_col='DATE')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Create a Figure and an Axes with plt.subplots\n", "fig, ax = plt.subplots()\n", "\n", "# Plot MLY-PRCP-NORMAL from seattle_weather against the MONTH\n", "ax.plot(seattle_weather[\"MONTH\"], seattle_weather[\"MLY-PRCP-NORMAL\"]);\n", "\n", "# Plot MLY-PRCP-NORMAL from austin_weather against MONTH\n", "ax.plot(austin_weather['MONTH'], austin_weather[\"MLY-PRCP-NORMAL\"]);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Customizing your plots\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Customizing data appearance\n", "We can customize the appearance of data in our plots, while adding the data to the plot, using key-word arguments to the plot command.\n", "\n", "In this exercise, you will customize the appearance of the markers, the linestyle that is used, and the color of the lines and markers for your data.\n", "\n", "As before, the data is already provided in Pandas DataFrame objects loaded into memory: `seattle_weather` and `austin_weather`. These each have a `MONTHS` column and a \"MLY-PRCP-NORMAL\" that you will plot against each other." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots();\n", "\n", "# Plot Seattle data, setting data appearance\n", "ax.plot(seattle_weather[\"MONTH\"], seattle_weather[\"MLY-PRCP-NORMAL\"], color='b', marker='o', linestyle='--');\n", "\n", "# Plot Austin data, setting data appearance\n", "ax.plot(austin_weather[\"MONTH\"], austin_weather[\"MLY-PRCP-NORMAL\"], color='r', marker='v', linestyle='--');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Customizing axis labels and adding titles\n", "Customizing the axis labels requires using the set_xlabel and set_ylabel methods of the Axes object. Adding a title uses the set_title method.\n", "\n", "In this exercise, you will customize the content of the axis labels and add a title to a plot." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots();\n", "\n", "ax.plot(seattle_weather[\"MONTH\"], seattle_weather[\"MLY-PRCP-NORMAL\"]);\n", "ax.plot(austin_weather[\"MONTH\"], austin_weather[\"MLY-PRCP-NORMAL\"]);\n", "\n", "# Customize the x-axis label\n", "ax.set_xlabel(\"Time (months)\");\n", "\n", "# Customize the y-axis label\n", "ax.set_ylabel(\"Precipitation (inches)\");\n", "\n", "# Add the title\n", "ax.set_title(\"Weather patterns in Austin and Seattle\");" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Small multiples\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Creating small multiples with plt.subplots\n", "Small multiples are used to plot several datasets side-by-side. In Matplotlib, small multiples can be created using the `plt.subplots()` function. The first argument is the number of rows in the array of Axes objects generate and the second argument is the number of columns. In this exercise, you will use the Austin and Seattle data to practice creating and populating an array of subplots.\n", "\n", "The data is given to you in DataFrames: `seattle_weather` and `austin_weather`. These each have a `MONTH` column and `MLY-PRCP-NORMAL` (for average precipitation), as well as `MLY-TAVG-NORMAL` (for average temperature) columns. In this exercise, you will plot in a separate subplot the monthly average precipitation and average temperatures in each city." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Create a Figure and an array of subplots with 2 rows and 2 columns\n", "fig, ax = plt.subplots(2,2);\n", "\n", "# Addressing the top left Axes as index 0, 0, plot month and Seattle precipitation\n", "ax[0, 0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-NORMAL']);\n", "\n", "# In the top right (index 0,1), plot month and Seattle temperatures\n", "ax[0, 1].plot(seattle_weather['MONTH'], seattle_weather['MLY-TAVG-NORMAL']);\n", "\n", "# In the bottom left (1, 0) plot month and Austin precipitations\n", "ax[1, 0].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL']);\n", "\n", "# In the bottom right (1, 1) plot month and Austin temperatures\n", "ax[1, 1].plot(austin_weather['MONTH'], austin_weather['MLY-TAVG-NORMAL']);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Small multiples with shared y axis\n", "When creating small multiples, it is often preferable to make sure that the different plots are displayed with the same scale used on the y-axis. This can be configured by setting the `sharey` key-word to `True`.\n", "\n", "In this exercise, you will create a Figure with two Axes objects that share their y-axis.\n", "> Note: you can also define sharey keyword with 'row' or 'column'" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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+O+8wPnz33fQsBYLIcDjopt2+nbfwcL6GYcOYf3XxInD//QzTWQKqTh26TRVFUZQbExvLRo4zZ3J+2rhxmfcgJSWx6nrUKFY8T53KimxPIsI0kn37gJ9/9nx+U1pcucIK8ttuow2NG/N6ZFGzJtC3LzB4MP/OqifOm6QlkjKSlfMSgD0AsjiVxj/ImRN4+mngkUeo8IcPB5o2pSv0ww/9e9JyzpysSOjVy7XtwgXXLLtz5xjvnjABuHqV20JCKAofeYRhvU2bKKLKl7c/3KgoiuIvHD/OqrPwcM4JffnlzJ8jY2M5nHb2bE5n+OILnos9SWIiG1l++y1niVreJF+QPz8FEsD3aNs2XovCwniN2bjRlfsbHc20kfr16Wlq1ow/a9Xy/HviUUTkpjcAtwJYBqADgHk3u3/Tpk0l0IiOFnnrLZH8+UVy5hTp31/kxAm7rcoaDofI3r0iv/3G17ZrF7dPny5C3S9SrJhI27YiL74ocuSIreYqiqLYzpIlPC/On5+145w6JRIaKpIjh8hXX3nGtmuJiRHp0oXn8mHDRJxO7zyPJzh7VmToUJEOHUQKFXJdgyZM4P7Tp3mtOnzYntcBIExS0TPpCrcZY34HMAJAIQCvSCrhNmNMXwB9AaBixYpNjxw54jEh50tOn2ZPo4kTqYBfeok9LIoVs9syz3H5MhW/Farbvp2x5Z07gcqVOYNu3DhXqK5BA6p+T8e3FUVR/IV//mF4CGDKQlbyaXbuZHXZuXPAtGkMs3kaEVbG/fUXK+769vX8c3gLp5OhwY0bgTZteN359Vd63QCO+rK8Tf36+ebak+mcJGNMNwBdReR5Y0w7pCGS3AmEnKSbEREBvP02/3FFirCX0cCBdC8GI04n3aXG0DU8ZQoFVEQE9+fKxTBd0aK+decqiqJ4EytBe/hwCo62bbN2vCVLWAVWoABL6r2Z57p8ORe93W54RQ4MEhK4YLfCdJs2MVH86FHg1lu9//xZEUkjADwOwAEgL5iT9D8ReSytxwSDSLIID2fG/vz5QNmy/DI9/TRFQ3YgJoZepgMHOBMPYLlnrlxA795cIXk6CVFRFMUXxMbyvPa//2U9QRtgXlD//qw6nj+fffk8zfr1zPl54QXPH9vfuHyZ1xdf5M2mJZJu6g8QkddF5FYRqQygF4C/biSQgo2GDbkaWLmSXbv79wfq1gV++82VKB3MFCrEPhiWQBIB6tXjl7R3bybiPfYYsGaNvXYqiqJkhGPH2I/ujz+YoP3NN5kXSE4ne/D16cNed6tXe0cgzZnDMSOjR7OyLNgpWND+wiINmqST1q2BVavY3yJPHlbBNWvGtvJeaDXltxgDfPopXaB//81quQULgA0buP/yZZ4gsoOAVBQlcJk7lx7yuXOBQYMyfzG+epULxo8/Zv7M3LlAYS/UgI8fD/TowUXqmjXBm/rhb2S7ZpKeICmJvS6GDQMOH+Y8nxEj2JgyO5KQwDLUAgU4++eJJ4CKFdmi4JFHmPht92pAURQFYF+fMmW4uD15km1QMktkJKc2rFsHfPYZZ3J641w3bBhb03TrxkRwTXHwPJkOtynXExLCENPevRwTsnMn0LIlGzju2WO3db4nd27Xl7ZHDzYzq1ePPUEaNeLvUVH22qgoSvbG6eTEgho1ONbJmKwJpH/+4Xl/61Y2933lFe8tBsuWZfXarFkqkHyNepI8QEwM8OWXXElYnVrffZfelEBEhPHuCxdctzx52GY+IzH7yEiePDZuBL7/nts+/JCu6Ice0pYCiqL4Bk8naK9YwQVhzpzME2rZ0nO2Wly6xAW4NZxWRD3y3kRnt/mAc+cYdvv6a36YBwxgMl/JkvbYI8IcIXexc/58yr/T2peQcP3xChRgblbHjrw1bJixVgAi7ImxejUf17Ejw3E9egTWjB9FUQKHY8cYEgsPBz7/PGsdtAF6yp9+mrM0FyxwdZz2JCdPsor4yBHg0CG2XlG8i4okH3L0KD1JU6ZQWAwZwsTAggUzdzwRripuJGrS2udwpH3c/Pk5jbp4caBECdfv195KlOCx/voLWLbMFVIsUYKVFpZoqlo1fSef3buZ0/Xrr+zDNGQIk8GTkpjbpDPmFEXxFIMHA5MnA9OnA126ZP44CQmcjzZ8OPNQZ870TpPhPXuAe+7hOXfmTDaMVLyPiiQb2L2bMfBZs4DSpfl7r14ZEzznzzOfJykp7ecpWPB6UXMjwVO8OL/cmRUjJ064BNOyZZx1BDC8aAmmjh1vHk4TYSiuTBl2XLWasN1/Pz1M7du75v4oiqJkhMuXeW6Mj6dHpkaNzB8rPJxz0bZt80y4Li1Wr+bcuDx52GcpEAauBwtBJZJE6DZ9+OHAyPvZsIEdu5cvv/H9Che+sbBJbXuxYvZOVRZhEuSyZcDSpWwLYCVp163rEkxt2948pLZjBydlz5xJIVmmDHOXrDwmRVGUm+F0clrC9OlchGXF25OYyNL+99/nOXfiROC++zxn67W88ALPowsXcuGo+I6gEkk7drBqCmCseeBAoF07/05qE6H3Zfv21EVPsWLB0cU7KYmrLcvLtGoV+4iEhDDxu2NHoFMn4Pbb0/ZkxcUx1v/rr8DmzexlEhLCE0fFikCdOr59TYqiBAbuCdp9+gBjx2Z+EbljB71HW7YwAjBmjPfyS6OieA1wOFgIFEyzQgOFoBJJAPN+xo9nl9Tz51lmPmsWUK2aV59WySDx8Wyjv3QpRdPGjRRSefMCrVq5PE1NmlAIXYvDwZCbCBMkjxxhwvgjj/DEFQieREVRvI97gvYXX3A4eWYWzg4H8MknzD8qWpTXmZ49PW8vQK/Xq6/Se75pk31FPkoQiiSLq1fZXGv6dJZi5s5Nj02lSkwkVvyLS5c44sXyNO3Ywe1FizIHyRJNNWtef4I7fRqYMYMepvXrue3999loTVGU7E2PHjynZCVBe9cueo/Cwhjq//prTqT3BvHxfK5p0xhm+/LL1BeKim8IWpF0LSJA9eqsmuralaG4u+7SqfX+ypkzKZPADx/m9nLlUiaBXzsF+uBBnlzatGFbgl27uCJ75BGuJjNbSagoSmBheZvPnGEblrp1M3eMzz/nAPPChZmY/eCDnrfVIjqauU0rVtBrNWSIf6eLZAeyjUgC2GNiwgQm2Z09y6qGzz/nxHrFv4mIcAmmZct40gPoWbIEU/v218fsFy1iR9qjR4F8+Vgh8sgjXFEGQ66XoigpcTrpRd60iTmMma2E3bOHHp2NGxlWGzeO1cjepE8f4McfgR9+4HlKsZ9sJZIs4uMZnhkzhiuErl0ZsomOBmrVsts65WY4nQzHWYJpxQomZhrDHCYrCfzOO9nzyekE1q5lOO6339g1/MwZoFAhJnPOmkV3dkgIPYsVKjApEwCeeorHt/aHhDC/bfZs7u/Xj0n3OXK49tepw8RQgPkPhw+n3N+gAfDmm9w/dCgFn/XcISEsPujTh/s//JD2Wo/Nn58Vgdl1HqCi3IjLl13f6cwmaCclASNHUmgVLMjQ2sMP+8ajc+ECu2m3aeP951LSR1oiKai70OTJwxlrjz3GMBwAjB7Nks7OnRkH7tpV48D+So4cTNJu2JAN4RITudqzksBHjWITyty52brf8jR99RX/zzt3UiABFFMlS/LE6HTyp3tLgrp16XJPSnLdp1w51/6CBemGd9/v3qjzzBl6saz9SUn0aFmsXs3OudZzJyUBFy+6RNKECfR6WscG2NW3RQvXzKlmzSgIvb3KVRR/5tgxeoq3b+c5IDMJ2v/8Q+/R+vXMZRo/ni1HvMnff/O8NH06K5pVIAUGQe1JSo2zZ4FJk/ilOHkSqFKFX7IXX7TbMiWjxMayxYDladq6ldsLFaIXplMnhubq1g0sISxCARUbywGcR47Q8xkXx/3Vq7MysH9/oHlze21VFF8iws/8vn3MScxognZSEhOk33qLi5ivvwZ69/a+92jqVM70rF6d5yqdW+l/ZMtw241ITKSrdswYJgVPncrtEREUTkrgce4cV2uWaDpwgNsLFqQXpmVLemZatAi8k1RCAkODq1e7bt9+yyT1TZs4KqFVK94aN7a3waiieANrwOu2bfx8Z7Rf2r59DKuvXUtP1IQJQNmy3rHVwmp8/OqrXLjNmqU9kPwVFUk3ID6eobmdO4H69dmYcuBAfpF0LEbgcvQo84w2bOBt2zZXiKxSJZdgatmSwsI9PObviDAMFxLC8QUvvcSKP4Cvo0ULzg6sWFGnhyuBjZWgffUqc4gySlISQ/BvvMH+bGPGAI8+6pvvxAcfsPv3Qw8xUTtPHu8/p5I5VCSlg6goNqccN44hjgoVgOef5y27jsU4c4Yrr0uX2LCzTp3AEhPuXL3KkNyGDcxF2LCB/2eAYrhhw5TepurVA0tcnDoFrFlDL9P69fSq5cvH5PEFC1yeplatGMZTFH8nNhZ4/HFXgvbEiRlr53LgAL1Hq1cD3brx8e65ht5m1y5GKd5/X9vQ+DsqkjJAUhIwdy5XHBs2cIBr0aIUCsEqli5dYiVZeDgTIl97jR2uJ0wAnnvOdb8cOVj1tXQpReSRI/TO3HZbYJ4ETp92eZrWr2fo6vJl7itenPkPlrepeXNuCzR++AH4+We+vthYbmvc2FXZd/o0k8ED8f+nBC/uCdoZ7aDtdDLfaOhQhuZGj2Y1nK8q137+mdGIQFpkZXdUJGWSs2d5AREBmjblynzgQPbTCMT+O0lJDMsULcrXtXEjy16tJo4A982cCXTowAvo0aOsBNu5kyesnTuZNJkrFxPex4wBChSgp6l+fZa+DxgQmBfdpCT2TbE8TRs28PVaX5Pq1VN6mxo0CJz8H4eDInj1arYbeP11bq9Th16oO++kl+nOO5nDldZsPUXxNgkJLFY4fz7jCdoREfQerVzJx33zje88p4cPA/fcw0rW8HBtNRNIqEjKIg4HxcDYsRQZZcuyuqhfP++XjmaFy5fpSbA8RDt38gI5ciQwaBBXa0OG8GLfsCF/3npr+ldAu3czHLdjB4+/YwcvrsePc/9zz/GEYYmn+vWB2rUDKzYfE8MxBZZwWr+eYUiAr7VJE5e3qUUL5gEFygpShKveVasonvbs4fYnnmBOkwjw5598XSVK2Gurkr2YM4eLktq103d/p5NVy6++yvD5qFEUS776Lm7dypYycXG0vXVr3zyv4hlUJHkIp5PT6MeM4c/vvuMXMSnJvjJzh4Oxd0sIbd9Ob8DQoczDKViQ3iGr51CDBqy08EYVn1W+XrQo/379db5Pu3dzdQjwgmvNXvv+e/Yvql+fydSBIC5E6F1zD9Nt2eIq0S9TxiWYWrYEQkNd/Zr8nXPnKHpLl6btBw7wQgXQ42TlNHXu7N+LAyXwsBK0q1XjOTUjHDrEvmLLl/OzOXky0wF8xeLFjC4UK8bzXUYr7xT7UZHkBfbt4xcxXz6uWqZOZYPKhx/2nqfk/Hl6a+Li6NYF6Lk4doy/58xJF+9jjzGvCKDXo3RpewWIwwHs308Blzs3G7iJMIwXE8P7FC7MkN0TT9BDBwROHlhCAl+bu3Dav5/7jGGvJvcwXZ06gdG7KT6er8dqO7B2LUXwjBnAAw/wO7BoEYVT/fpaDapkDvcO2gMGMJ8oPTidTMYeMoTh/ZEjgWee8f25bs4c4L33mMvqy8RwxXOoSPIy06cD774L7N3LqdF9+zIcd+1g1vTidLpyesaMYchj+3bgxAluq1ePYgmgi7lAAXqIAi2UdekSK0CsUN2OHaxCGTKE42OKFaMQrV/fFbJr3dq3q8TMcuECc77c85uiorjP6t3kHqYLhN5NTif/X5UqUby6J/YXLMjO5489xpLnQPocKvbhnqA9ciTzHNMjco4coSBatoyNY7/9lgtGXyFC732jRvzbzmiCknUyLZKMMRUA/AjgFgBOAJNEZPSNHpMdRRLAL83SpRQ18+Yx8Xnp0ps/7vx5xrOtUNn27fT+HD/Ok8UzzwCbN1MguOcOBXu4IyqK3dGtfKe9e9kEdPx4CtCDBzmTz11AlS/vvyE7EXqX3FsQhIe7ejdVrJjS29SwIYWHv3P0qKv1wOLF/NyeOMFKwLg4TQBX0iYqil7VK1e40LS84zdChMnY//0v//7iC+DZZ337vWFA40IAACAASURBVHc4GDWYPJkLoSZNfPfcinfIikgqC6CsiGwxxhQCsBnAfSKyO63HZFeR5E5EBF3IDRpw/Ml99zGE1LSpq0rs3Xc5yPS11ziDDGBCuCWGPviAq3FtBkgSEhjeKV2at5Ur2RTOShIHmAs1dy7DP8eP871v0sR/w0BXrzKfyT1Md/Qo9xnD/IxGjViy36gRb7fc4r+fBxGKWSvZtmVL5mP1709vQSBWhCreZfRo4K670pfHc/Qo+yUtWcJF6LffApUre93EFFy5AvTqxfPM0KHsdu+v30cl/Xgs3GaMmQ3gaxFZktZ9VCSlZPNmJiJa4TGAeTlhYfSA7NnDi3mDBgzVKRkjKsolPHfsYPJn+fLMExs8mHlP7dvzRHzXXRQe/nxSO3WK/Zq2bXPdDh1y7S9d2iWYrFuNGv7n6k9KAkaMoDfw2DEuAPr0YSg6s2FoJbBxOLgY+PVXLnDuuCN9jxNhkcygQQz5fvYZF52+bjMSGQl0787v55gxbDSsBAceEUnGmMoAVgKoJyKX0rqfiqTrEWE44uRJCqPq1XVV7W3OnGG1y9KlXHkeOUKPUlQUw1h79lBwBEJpe3Q0RaC7cNq5k+FHgMUD9eun9DjVr89cNbtJSmLH7wkTmFs3aRLFUkIChZ2/iTvFs4gAv/zCz8DChfz+hYTQC/Phhzd//PHjDKctXMiRUd99x+a1dvDTTxT506ZxbqISPGRZJBljCgJYAeAjEflfKvv7AugLABUrVmx6xJr3oCh+gAjL2bdvZ6kuwATwNWsYjrvrLpYO33FH4CQcJyRQ6LkLp23bKKgAestq1EjpcWrc2N5ctsOH6S0tUIAr8ZEj6RF4+mkKViXwcTr5OTx4EHjwQW6rX5+Nebt25e2uu1xtQtJChD3eBg3iYuCTT+i58aX36NIlVtqVLElx5HCwcKFhQ9/ZoPiGLIkkY0wuAPMALBKRm44YVE+SEghs2MDy9SVLmAvkcLCybu5c7t+/3/9Dc9di9XC6Vji5d1S/5Zbrw3XVqvneo7N4McNxy5fTq9qzJ3OX2rb1rR1K1rl4kR7bBQt4O32aYe5z5+i9PXmSn7v0CpwTJyhKFizgYub774GqVb37GtyJjuZQ3FGj+PtTT9GDpQQvWUncNgCmALggIi+n58lUJCmBxqVLwIoV9HB06MCKw1Kl6N3o1MmVzxSoPVCiolhJ5y6cdu1yVdblz8+cOHfhVL8+t3ubvXvZ6+aHH/icK1dyu1bG+S9Wgn6VKvS8vvkmE5iLFgXuvpveonvuybh3UIQhrZdeYo+ujz9mFZkvvUc//sg2BBcvMqQ2bBgLbpTgJisiqRWAVQB2gC0AAOANEVmQ1mNUJCmBzuXLwO+/09uxdCkTNgGewB97jBUuTmdglOinRXx8ynDd1q38eSk52zBHDqBmzeu9Tt4Ki125wjyy227jz1q1gPvvp3epWTPvPKeSfq5coddvwQJg/nx6Jxcv5uIhIoLen9tvz3wl6alTDL3OncuJAd9/7+r27m3OnaPHuEQJ9l0aPx546y1XDyQl+NFmkoqSSZxO5jItWcImiZUq0evRty8vCpaXKTQ08JOQRXjxuzZcZ7UlAFil5p7j1KgRQyGeXO2fOAG8/z4TfmNjuZLv3x/o3ds/ktGzC4mJDIXu3cv/dVwcvYudOtFb1KNH1kWzCKvdBg5kS4zhw+nJ8cV36exZ9lkaO5bf55E3TSZRghUVSYriQbZv5wV8yRJ6YACGGiIi2CX8yhXfhKp8xYULrnCd5XHavZuVawCFS8OGvJB27gx07OgZMXPxIt/n8eMZHoyIYF8cDcV5h4QEFjNY3qKOHZlgn5TEOYydOgFt2njuvT99muJ39mwuOL7/nt5Lb3P6NPD55/xcxcWx79Gbb+rMteyMiiRF8RKRkXTRh4czERlgmGjbNpeXqUMHdqAOJuLiKJTcPU5bttDzkzcvX3O3bsC//pX1cREifK66dfl39+5MqH3uOSZ8B0pFoj/Tvz89OjEx9B61bQs8/jhnqnkaEZbRv/ACPy8ffsgqNl95Yp94guL7sceAN97wjTBT/BsVSYriQ374AfjjD+Dvv5njYwwvOFOmcH+wznlKSABWreJYnrlzWQYOMCm8e3eKpmbNsvbaRVh1NG4cj1+yJKuP+vXzbQVUoJKUxGaICxZQ2M6ezc/nq6/Sc9e1Kz1Insy3E2Gfsi1beFu1ign6LVrwu1KrlueeKzWOHWMLgb59+Vk8fJhFC9Wqefd5lcBBRZKi2IDDwdlOS5awBLpfPyZMV6jAHCbL01S3bmC1GkgPIsA//1AwzZvHZqpJSawa7NqVgqlzZw7KzQxOJz14EybwQv/eewyZWBV7/jqKxi42bGDPn4ULmaicIwf7gs2de/OeRRnB6WT7jK1bXaJoyxbXcOeQEIa1nnjC+96jw4dZIffdd/w8WrlHinItKpIUxU+4cIGDeZcsoYgAmAw9diwTYYOVqCheoOfNY+ftqChXWKdbN94y6wk6eZIhvuLFgd9+48X32WfZ2Ts7jkARYd7c/PnAAw+wqejMmQypdelCkdq5c9ZDwA4HKyTdxdC2bawOBTh+qUEDNmxt0oQ5a/Xrs0O8t3n5ZX6nrCHhQ4ey6EJRUkNFkqL4IUePusamDB7MUNTChTzB33YbL/Dly/PWsycvag4HV9+B7HlyOIB16+jFmDePF1qAYRcrLHfHHZnzBq1ZwxyXRYvoLeneneKgc+fAfs9uRnw8xafV0PHECW6fPJkiweHg68+s5yYujqNwtmxxeYm2b+d2gIUKjRq5BFGTJvQY+XL80uHDFELGAG+/TSH+6qv03CrKjVCRpCgBwl9/sdvv8eO8nT1Lz4DVAXzkSIaVypWjeLKE1LBhDF2dOsXS7bJlA2c+4MGD9HrMncumnomJDAF16ULBdM89Gfd6REQA33zDSfElSjDx2xiKiUBN9Bah/TExvEVFMYTZvDn/LlGCXprOnV0NHcuWzfjzxMayEMHdQ+TefLRIkZRiqEkT9jSyK89u717go4+YeD5/Pl+3omQEFUmKEqAkJlL4lCtHz8rKlRQTJ05QRJ04wXDThQu8QA4aBHz5JQVB6dIuIfW///EitnEjE3QtcZXZnCBvcekSPWvz5vGCFxlJu++80xWWq1Ur/V6h+HgmDdeowdYMVaowMbl/f6BVK+96lyxRY5XMHzzI/6UlcmJiGJJ6/HHu/+ILihP3/VWqAFOncn/TphQs7txxB71nAENddetmTBxHR7sqE63b3r20HWAO2bWC6Lbb/MMrt3s3vYbTpvGz//zzwCuv2DufUAlMVCQpShAj4rpobdkCbN5M8WTdLl92jft48EF2E7coVIg9jlat4t+//MILp3uor3Rpe7wETidFnZX8HR7O7VWrugRTmzYUGunh/Hk2qZwyhUKxbl2Kpccfp3dEhF6UmBi+Z9bP1q35/q5axcowa19MDCv6rLlew4bxvXV/fIkS9AYCzDn744+UNlWq5Jqt9/DDfL2FCvFWsCBQuzZFL8DxLRcuuPYVKkThVLly+l5/ZGRKMbRlCz1uFrfeer0gKlfOPwTRtTgcFGvR0WwlMHgwBZ2iZAYVSYqiAKD3KSLC5YU6cYKeh88+4/477wTWrk35mNBQigOATQWvXEkpoqpU8U3ex7FjrrDcsmX00hQqxHlh3boxPJeeDtCxscD06WwmGBbG1xYaSpHz4YfX3z8mhqJk8GC2HwDoHbLEzP79zH8aM4ZCyhIwhQoxTDh4MB8TFsaLurW/YEF68ooV89x7BFDsnTx5vSA6ftx1n6pVmUjtnlTtrZEznmLrVv7Pvv6awnjdOnoIS5Sw2zIl0FGRpChKunA66flwD+cVLOhqKtihg8ubYvHvf7MMH+B4iRo1GNKqXdt7XojYWOZvWV6mkyf5XC1aUDB1785Kqps9/44dvB9AgbNunUvgWLfWrSkkL11yzezzlxYDIsChQ9cLImveoDEMT7p7hxo18mzZv7fZtAn44AOK4yJF+H9v0sRuq5RgQkWSoige5dIllyeqYEGgZUsKl4YNXU0ky5alWHr2WYbFvIUIvQyWYLK8XhUquMJy7dv7pvQ8KzidfF+jo3mLirrx7xcuMC8nOpqPz5kTqFcvpYeoQYPAHcQcFQU8+iir9ooVo0du4EAKJUXxJCqSFEXxGYcOMRy2bBlX/cOHswz98GF2Pu7YkaLFW2GSU6dYBj9vHpPAY2Ndg1mtUSnlynn+eUU4pPVm4iat3y9edCVMp4YxFAhFi7pu7l6ievUCt3LPnRMnGMYVYbPVjh2BAQP8r8hACR5UJCmKYgsiTLLNlYsegYceYqjOGIZ9OnViRV5mStXTQ1wc2wpYPZmOHOH2Jk1cYbkmTZhTBDAR++LFzAudxMQb25M/P70ilsjJyO+FCgXnOBuLFSuYWB8WRkHt6VwtRUkLFUmKovgFiYkMh1mepvXr2VSzdGl2hd61i56D5s093+dJhMe3wnLr1jHEVbIkPTBRUUxKvxE5c/LinRmhU6RI+ivxsgsinHH43nuswLzlFjaA7N/f/8OjSvCgIklRFL8kLs7VR+jll9lIU4R5NG3asDHgwIHeee5z5+jd+usvepLSI3Ty5fPPkvhAZfdutmIoV46jQ/r0UXGk+B4VSYqiBATnzwPLl9PLtHQp85bWreO+999nWK5TJ/bIUQKHhARWIFotKE6dAl57jfvmzGGXcEssK4qvUZGkKEpAEhsLFCjA8RvVqzMpHKBI6tiR1U/t2tlqYrYnLs7VMsK6nT7NETrGMOl63LiUj6lWje0XVBgp/kBaIslPOn0oiqKkToEC/BkSwtYCe/e6vEwzZrApYrt2zCf64AMKpzZtmOSseIazZznc1l0EHTsG/Pwz86zeew/4+OOUjylalP+PggX5PylThg1IrSakNWv6T68pRUkL9SQpihKwOBwM4+TPz0aQd93FLtw5czLx2+rRpFPgU8caZ3PsGEXntSJo+nQ2BB03jt4gixIlKHZmz+ZYlbAwiqgKFVwiKFB7MynZE/UkKYoSdOTM6fJGtG5Nb9Lata7KuY8+Anr14v6//uJMu44d2XrAKvkPRkTYlDIkhGLl6FHOl3MXQcePc3Buly5sxPn003xs6dIUOrfd5urZ1L07xVKFChRA1yZWh4bypijBhookRVGChnz5KII6duTf0dGu7sxLlrhCQsWLs5llp05A376eEUwizJtyOvkzKYkixRIUkZH0fFn7kpIoYEqXdrUmsLZbx7jlFnpqHA6Wx1+7v0YNhq1On+ZMPXcBdPkyB+L27esa7FumDIVOjRocL2M11OzQgcnU5cql3oyyQgX1xinZEw23KYqSbTh5kh4ly9OUJw+H0wLAgw8ykdhdiDRrxrwnALj9duCff1KKoLvvBmbN4v5y5Vix5U6vXvTWAMyRcp93B7Dc/ZtvKJJSE2qDBjH5+fLl1HOs3n6b+UDnztE7ZuX8WGGvzp05l86yV3s0KUrqaLhNUZRsT7lywGOP8SbC2WcW1arR85MjB3+GhNBLY9GlC0NK7vtr13btf+UVVuK5H8N9/8iRLu+SdatRg/uMoRhzP3aOHK42B/nysRv1tfstT1DJkvQepYX1GEVRMka6PEnGmHsAjAYQAmCyiHx8o/urJ0lRFEVRlEAhLU/STSPxxpgQAGMBdAFQB0BvY0wdz5uoKIqiKIriP6QnXbE5gAMiEiEiCQCmAbjXu2YpiqIoiqLYS3pEUnkAx9z+Pp68TVEURVEUJWhJj0hKbZTjdYlMxpi+xpgwY0xYZGRk1i1TFEVRFEWxkfRUtx0H4N4h41YAJ6+9k4hMAjAJAIwxkcaYIx6xMG1KAjjn5efwBmq3b1G7fU+g2q52+xa127eo3TemUmobb1rdZozJCWAfgI4ATgDYBOAREdnlaQszgjEmLLVMdH9H7fYtarfvCVTb1W7fonb7FrU7c9zUkyQiDmPMCwAWgS0AvrNbICmKoiiKonibdDWTFJEFABZ42RZFURRFURS/IZBHPE6y24BMonb7FrXb9wSq7Wq3b1G7fYvanQm8MrtNURRFURQl0AlkT5KiKIqiKIrX8HuRZIy5fPN7+Q/GmCRjzDa3W+Ub3LedMWae76xLG2OMGGN+cvs7Z3IrB7+w72YYY3okv4ZadttyMwL9vQYC73t5LTez3xiz3BjjF5VAgfTZdscY86YxZpcxZnvyubCF3TalF2PMrcaY2caY/caYg8aY0caY3De4/8vGmPy+tPGa5xdjzBduf79ijHnXLnsygts1c5cxJtwYM9gY4zfaxG8MCSKuikgjt9thuw1KJ7EA6hlj8iX/fRfY8iHdJLeLsIveAFYD6JWRByXPJvQ1WX6vlWxFpj7bdmKMuR1ANwBNRKQBgE5IObnBbzHGGAD/A/CHiFQHUANAQQAf3eBhLwOwTSQBiAdwvzGmpI02ZBbrmlkXPBd2BfCOzTb9PwEhkowxBY0xy4wxW4wxO4wx9yZvr2yM2WOM+SZZhS52u/D4DcaYEGPMZ8aYTcmrqn5uuwsbY2YZY3YbYybYrKD/BPCv5N97A5hq7TDGNDfGrDXGbE3+WTN5+5PGmBnGmLkAFvveZH4+ANwJ4BkkX0iSvXQrU3tvjTGXjTHvG2M2ALjdDpuRufd6lTGmkdv91hhjGvjUajeu9YQaY742xjyZ/PthY8x7bt9Zv/OC3Mh+f+EGn+203veuxpi9xpjVxpivbPROlgVwTkTiAUBEzonISWNMU2PMCmPMZmPMImNM2WS7lxtjvkz+vO80xjS3yW4A6AAgTkS+T7Y9CcAgAE8bYwoYYz5P/kxvN8YMNMa8CKAcgL+NMX/bZLMDTHAedO0OY0yl5Ovn9uSfFY0xRZK/o9Y5Mb8x5pgxJpevDXdHRM4C6AvgBUPSvHYaY15N/j+EG2M+9pZNASGSAMQB6CEiTQC0B/BFstoHgOoAxiar0GgAPW2y0SKfcYXaZiVvewbARRFpBqAZgGeNMbcl72sO4L8A6gOoCuB+n1vsYhqAXsaYvAAaANjgtm8vgDYi0hjA2wCGu+27HcB/RKSDzyxNyX0AForIPgAXjDFNkren9d4WALBTRFqIyGqfW0sy815PBvAkABhjagDIIyLbfWZxxjmX/J0dD+AVu40JUNL6bF9H8mdpIoAuItIKQCkf2ZgaiwFUMMbsM8aMM8a0Tb4AjwHwgIg0BfAdUnpnCojIHQCeT95nF3UBbHbfICKXABwF0AfAbQAaJ3vIfhGRr8ApFO1FpL2vjXVjLIBHjTFFrtn+NYAfLXsBfCUiFwGEA2ibfJ/uABaJSKLPrE0DEYkAtUlppHHtNMZ0Ab8bLUSkIYBPvWVPoIgkA2C4MWY7gKXggN0yyfsOici25N83A6jse/NS4B5u65G8rTOAJ4wx28CLYQlQ3AHARhGJSF6tTAXQyvcmk+QLbmXQs3FtX6wiAGYYY3YCGAWeSCyWiMgFnxiZOr1B0YHkn72Tf0/rvU0CMNO3JqYkk+/1DADdki82TwP4wSfGZp7/Jf/0h+9loJLWZzs1agGIEJFDyX9PvcF9vYqIXAbQFPQKRAKYDqAfgHoAliSfC98Cx1xZTE1+7ErQw17Up0a7MEhlPmny9jYAJoiIAwBsPu+lIFnI/QjgxWt23Q7g1+Tff4LrPDgdwMPJv/dK/ttfsJwgaV07OwH4XkSuAN79P9iZQ5IRHgVXRU1FJNEYcxhA3uR98W73SwLgd+E28B8+UEQWpdhoTDtc/2W0uyfDHACfA2gHfiAtPgDwt4j0MExGX+62L9ZHtl2HMaYE6B6vZ4wRsCu8gMIjrfc2Llk42U2G3msRuWKMWQLgXgAPAbA7sdiBlAutvNfst76bSfDPc83N7LeVG3y25yB1u1MbRm4byd+x5QCWG2N2ABgAYJeIpBXi9pdz4S5cE5EwxhQGZ5hGwP5z9I34EsAWAN/f4D6W/XMAjDDGFAcF7V9eti1dGGOqgOeMs0j72nkPfPR/CBRPUhEAZ5MFUnukMYjOj1kE4Dkr3muMqWGMKZC8r3my+zAHqOrtCv9YfAfgfRHZcc32InAlFz/pU4tuzAOgK7mSiFQWkQoADoGrJX97b68lM+/1ZABfAdjkB6vYIwDqGGPyJLv4O9psT0bxd/vT+mwDqdu9F0AV46qofRg2YYypaYyp7rapEYA9AEoZJnXDGJPLGOPukX44eXsrMMRy0WcGp2QZgPzGmCeS7QkB8AXouV0MoL9JLlJJFhgAEAOgkO9NTUnyOeE3MExlsRaupP9HkXweTPb2bQQwGsA8f1g4GmNKAZgA4GthE8e0rp2LwRyx/Mnbi6d1zKzij6u7/yf5gxgPxlHnGmPCAGwDTwaBxGQw3LAlOZcqEoynAsA6AB+DeTMrAcxK7QC+QkSOg1+aa/kUwBRjzGD4yYojmd7g++fOTADPwc/e22vJzHstIpuNMZdw45WiV7G+lyJyzBjzG4DtAPYD2GqXTRkhgOxP67P9CHghTGG3iFw1xjwPYKEx5hx4AbSLggDGJIfMHAAOgKG3SQC+ShZ3OUHPhzULNMoYsxZAYTCcbAsiIsaYHgDGGWOGgc6EBQDeAD0cNQBsN8YkAvgGzPmZBOBPY8wpm/OSAAq6F9z+fhHAd8aYIeC15ym3fdPBMH47n1l3PfmSw2m5wM/KTwBGJu9L9dopIgsNi1jCjDEJcP1/PI5fd9w2xjQE8I2I2FnpoAQgyaHMV0Skm922eBJjTDkwhFFLRJw22RDQ38tAt/9GGGMKisjl5AvKWAD7RWSU3XbdDGPMcvD7Gma3LYrijt+G24wx/cFEvrfstkVR/IFk9/8GAG/aKJAC+nsZ6Pang2eTV+W7wLDtRJvtUZSAxq89SYqiKIqiKHbht54kRVEURVEUO1GRpCiKoiiKkgoqkhRFURRFUVJBRZKiKIqiKEoqqEhSFEVRFEVJBRVJiqIoiqIoqeCVjtslS5aUypUre+PQiqIoiqIoHmXz5s3nRKTUtdu9IpIqV66MsDBtnKooiqIoiv9jjDmS2nYNtymKoiiKoqSCiiRFURRFUZRUUJGkKIqiKIqSCiqSFEVRFEVRUkFFkqIoiqIoSiqoSFIURVEURUkFFUmKoiiKoiipoCJJURRFURQlFVQkKYqiKIqipIKKJEVRFEVRlFRQkaQoiqIoipIKKpIURck6V68CYWHAn38CiYl2W6MoiuIRvDLgVlGUIObcOSA8HMiZE2jbFoiPB4oV408A6N8fGD/eXhsVRVE8gIokRVFuzmefAStXAtu2AcePc1unThRJefIAH38MVKgArFoFjB4NNGgAPPecvTYriqJkERVJiqLQC7RrF7B1K4XQtm2A0wmsWcP9y5YBJ04A7doBjRrx1rCh6/Evv8yf990HHDhAsdS/P2CMz1+KoniF6GjgySeBunWBjz6y2xrFR6hIUpTsxvnzDJft3AkMHEgh07cv8OOP3F+wIAVQs2aACPcvWADkSEcKY0gIMGMGkDevCiQleDhyBOjaFdi9G3jrLbutUXyIJm4rSrAiQm8QACxZAtx7L1CxIlCyJNCxI/DSS/QOARRJM2YA+/cDFy8Cq1cDX37pEjrpEUgW+fLxcYcOAY88Aly+7NnXpSi+JCwMaNECOHkS+PtvIDQUSEoChg8HYmLstk7xMupJUpRgICGB4TIrVGbdliwBmjcHoqIYBmvdOmW4rHRpPv7OOz1v04EDwPTpDOXNmJExoaUo/kBEBPPuSpemQKpdm9s3bgTefhuYO5cVnUWL2mun4jWMiHj8oKGhoRIWFubx4yqKAgqe8HCKoNatgaZNgRUrmC8EAPnzUwA1asRwmnVit4NRo4DBg4F33wXeecc+OxQlM4iwEKF3b6BMmZT7Zs0CHn4YqF8fWLwYKFHCHhsVj2CM2SwioddtT49IMsYUBTAZQD0AAuBpEVmX1v1VJCmKBxBh/6H8+SmMnnqKwujIEdd9RowAhg6l2//PPymMqlZlbpA/IEK7p0wBZs4E7r/fbosU5cYkJQFvvslQcYMGN77vggX8TNeoQa/ttUJKCRjSEknp9X+PBrBQRGoBaAhgjyeNUxTFje3bWV5fvDgwaBC3FS4MHD0K3H47y+0XLQJOn6ZAAoBChYCHHuLJ2l8EEsDcpAkTmNMxciRFk6L4K7GxFD2ffMJQ2s3o2hWYP5/fxYgI79un+Jyb5iQZYwoDaAPgSQAQkQQACd41S1GyKQcPAp07U1z06gXcfTe3h4QAW7bYa1tmyZsXmDMHKFBAK94U/+X0aaBbN7bB+PprYMCA9D2uY0cWKRQowL8vX2aFqBIUpMeTVAVAJIDvjTFbjTGTjTEFvGyXomQ/Tp+mQHI4mCQ6fjz7DgUDpUvzInL5MvDeezq6RPEvjhyht3PPHmD27PQLJAtLIE2ezD5KBw543kbFFtIjknICaAJgvIg0BhALYOi1dzLG9DXGhBljwiIjIz1spqJkAwoUYA7EggVArVp2W+Mdli5lErfVfFJR/IGyZVkEsXIlvUmZJTQUuHIFaNOGPZWUgOemidvGmFsArBeRysl/twYwVET+ldZjNHFbUTLA1avsZ1QgmzhoX32VY07Gj2dXbkWxi2nTGC4rVcpzx9y1izmFSUlM5nbvTK/4LZlO3BaR0wCOGWNqJm/qCEAlsqJ4AoeDZcRWmC07MGIE0KUL2xOsWGG3NUp2RAQYNoyl/Z9+6tlj163Lz3WePECHDhwIrQQs6W0mORDAL8aY3AAiADzlPZMUJZsgAjz7LKtoxo0DcmaT3q4hIcCvvwItWwLPPw/s2KGNJhXfER8PPP00P4PPPMPO2Z6mRg2G7pYsYYd7JWBJ11lZRLYBuM4NpShKFhg6FPjhB+boPPec3db4lqJFKQ5z51aBpPiOCxeAHj0oYD76CHj9de9VXN52G8f9ABwUnZAAtG/vnedSvIaenRTFDsaOpZt/wACOXcL78wAAIABJREFUN8iOVK8OVKrEfKxp07SHkuJ9kpIY/vr1V+CNN3zTkkKEeXhduwILF3r/+RSPoiJJUezgnns4rmP0aO0dNHs2c0M+/NBuS5RgZft2tp0oVYojfXr39t1zG8PPeK1aHDI9e7bvnlvJMiqSFMWX7NrFlWXVqsAXX/hXd2y7uO8+4PHH6VGbNctua5Rg4/ff2QPp3Xf5tx25fyVLAn/9BTRuDDzwAPDbb763QckUKpIUxVesWsU+Kh9/bLcl/oUxwKRJQPPmFEs7dthtkRIMiLDVxIMPAk2auEb82EWxYkzkvv124I8/7LVFSTfpGnCbUbRPkqJcQ3g40LYtcMstwOrVWvGSGidPUkQWKkSPW3ap9lM8j8MBvPACMHEiZxpOmcLxOP7AlStArly8xcX5j13ZnKwOuFUUJbNERDAHqVAhYPFiFUhpUa4cV9iTJ6tAUrJGRASTs197DZg61b+ESP78FEjnztHDNXq03RYpN0DPRIriTRwOjjlISACWLQMqVrTbIv+meXPX71u3ModDUdJLdDTbS9SowbEgt95qt0VpU7gwULs2R/RcvcqWIIrfoZ4kRfEmOXMCX34JzJ8P1KljtzWBw6JFXGVPmmS3JUqgEB4O1KsHfP01//ZngQSwR9j06cAjj7Bf0zvvaBsMP0RFkqJ4g7g4htYAjhxp2dJeewKNTp0YohwwgAnvinIj/vwTaNWKRQBt2thtTfrJmRP48Ud2AH//fQ29+SEqkhTF0zgc7MPStStw4IDd1gQmISHMJalSBejZEzhyxG6LFH9l4kSge3c2J92wAWjQwG6LMkZICPDNN+wT5sv+TUq6UJGkKJ5EhJPt//gDGDUKqFbNbosCl6JFgTlzmM913338qSju7NzJkT733MNRI+XK2W1R5siRA3jzTaBMGTa9HD+e3cEV29HEbUXxJG+8AXz7LSeMDxxotzWBT82a9CgdO8YcDkUBuBgxhjlIixcD7doFT0XkH39w8POaNZztGCyvK0BRT5KieIpVq9gosl8/4L337LYmeOjSxTUoNDLSXlsU+4mMpChaupR/d+oUXELiwQc5fPeXX4BevdSDajMqkhTFU7RuzblMY8fqPDZvsH49J6trt+Lsyz//sAhi40YgJsZua7zHG28AI0cCM2cyJy8uzm6Lsi0qkhQlqyxcyJ4+APDvf+s8Nm/RsCHbKDz+OHNRlOzFypUc6RETA/z9N9Cjh90WeZdBg4Bx4/i69++325psi4okRckKa9YA998PvPKK9jjxNvnycQBuoUIUo+fP222R4iu2bwfuugsoXZoexezSUuO554CDB4H69fl3YqK99mRDVCQpSmbZsYPdtCtUAKZNy94htqQkdjheuNC7ORTly1MonTzJmVx60cge1K8PfPABsHYt20JkJ6wxRqNGcf5jdLS99mQzVCQpSmY4dAi4+27OYVq8GChVym6LfIcIV7fTptGD1rYty/Xr1mWSdfv2wIkT3nv+Fi3YiVs7mAc3iYkMOR04wAXIq68CxYvbbZV9VK4MhIUBHTuqF9WHGPFCiCA0NFTCwsI8flxF8Ruef54iYdUqioNgRYSCJywM2LSJt7AwICqK+/PkARo1Apo14y0xEXjpJaBAAb4/7dt730aHI7iqmxR6Sx54gPMOx4wBXnjBbov8gwULGN6vXp3VfWXK2G1R0GCM2SwioddtV5GkKJkgMZEr3Nq17bbEs0RGugSR9fP0ae4LCWHYo1kzIDSUP+vV40Rzd/bs4Yl83z5gxAhgyBDvhSL37mV+0nffcSyFEvgcOQL861+sZJs8GfjPf+y2yL9Ytoyf+YoVWTCSN6/dFgUFaYkkXX4pSnqJi+MFf9gwJpAGukC6eBHYvDmlILLGfxgD1KrFuXOWIGrYkMnTN6N2bZZoP/MM8NprwLp1bIpXpIjnX4O1ku7Zk/ZXrOj551B8x9699D5evcohxx062G2R/9GxI9+b3btVIPkA9SQpSnpISmKTt1mz2Lvk/vvttihjXLnCVad72GzfPtf+KlVcYqhZM6BxY6Bw4aw9pwgHdg4Zwv5GM2e6qnQ8yd69zFOqWhVYvZp5YkpgcuUK8OSTwLvvas5ZelmxguNYqle325KARsNtipJZRNjxefJk4MsvmXPjzyQksPLOPYdo1y7XLKhy5VxiKDSUtxIlvGfP6tWsRIuOZsL1Y495/jkWLGCl4UMPcYxJdq40DER++gm4996sC/PsRkICR/fExzNHSYVlptFwm6JklrfeokB64w3/E0hJScwBcg+ZhYe7yvBLlKAY+ve/XaLI10NAW7UCtmwBHn6YjSDXrWM5sydnsXXtyvynRYvojShQwHPHVrxHUhLw3//S4/jRR/yO+Svr1tHWhARW3T300PX5eL4md25g3jyOZmnblkKpYUN7bQoy0u1JMsaEAAgDcEJEut3ovupJUoKGmBigaVPOipo40V4PhQiTxd0F0ZYtFAUAmyxaniFLEFWu7D9elcREXgQ//5zhsRkz2GPKU4jwoquVboFBbCzw6KMc5fPyy/xc+GO3+shIYOhQFgeUL8/cut27mf82eDBz7woWtNfGffuYqxQby4VCs2b22hOAZDncZowZDCAUQGEVSUq24sIFnhh9eQIX4eR79xyizZtdjeTy5mXekHvYrEYNIEcAtD6bORN46im2D5g2jSd3T3L2LPD008AnnwR3e4ZA5swZoHt3fqZHj/bPEv+kJOCbbyjsY2IoiIYNY87bggXAp5+yBUixYsCAAcDAgSzosItDh/hd6tKF8yOVDJGWSIKI3PQG4FYAywB0ADDvZvdv2rSpKEpAM3++yH/+I5KQ4NvnTUwU+eILkVtuEaFUEsmZU6RJE5F+/US++UZk2zbeL5DZu1ekTh2RHDlEPvpIJCnJc8c+dkykTBmRqlVFzp/33HEVz3H0qEj16iJz5thtSeps2CDStCm/f+3bi+zenfr91q4V6dFDxBiRvHlF+vcX2b/ft7a6c/q069zgcNhnRwACIExS0z+pbbzuTsDvAJoCaKciSQl61qwRyZdPpHFjkYsXffe8YWEUQ4DIXXeJfP01T9ZXr/rOBl8SEyPSuzdfb/fuIlFRnjv22rUiuXOLdOwY+IIyGHA4RH74QeRf/3JdvP3x/3LunMizz1L0lC0rMnWqiNN588ft3cvH5c7Nxz7wgMjGjd63Ny1OnBCpV0/kzz/tsyHAyLRIAtANwLjk39MUSQD6gjlLYRUrVvTxy1MUD7Fjh0jRoiLVqnFV5gtiYkQGDaJXpUwZkenT03diDgacTpGvvqK3rGpVesk8xXff8RT34oueO6aSMZxOkZkzRWrX5v+iaVORkyfttup6kpJEJk0SKV5cJCREZPDgzC2QTp0Sef11nkMAkXbtRBYs8P33OTJSpFEjkVy5RGbN8u1zByhZEUkjABwHcBjAaQBXAPx8o8eoJ0kJSA4fFilXjivIQ4d885zz5olUrMivYr9+nvWmBBJr1vC9z5uXHgdP8fLLIlWqZN/31U6OHXOFrGrVEvn9d/8U/2FhIs2b0842bbhQyiqXLomMHCly6608bv36Ij/+6Nvw/YULfF0hISLTpvnueQOULIXbxCWYNNwW7CQl0XX8448iAweKtGghsmIF9+3aJfLOOwxl+KOrPKusXi1SqZJnTpI349QpkYce4lewdm2RVau8/5z+zpkzzP+wBGNcXNaPmZioeUm+JjKSPxMTRTp3puj1x/yY8+dFnnuO4bEyZUR+/tnzIi4+XmTKFJG6dfm5rlCB4unSJc8+T1pcvCjSujW91H/84ZvnDFBUJCnX43RytXfsGP/eu1ekSBH5/4ThAgW4svrrL+6fPJknFIDu5AceYCLx5cv2vQZP4H4Cj4/37nMlJYlMnMj3OXdukfff94wYCBYSE0Vee42fsWbNRI4c8cxx4+NFXnmFCcOKdwgPZ25ZmTIMIfsrSUki334rUrIkxcNLL4lER3v3OZ1OFoO0bes6f77xBhdL3ubyZZEBA5hvJSLy009c7G7Y4NmCiQDHIyIpvTcVSX5KUpLIokUiH34o8u9/uyqoBg/m/rg4keefZy7Hjh2pr/7On2fOzNNPi5QvL5Inj0hsLPctWMATQSCJprg4kU6duLrzNrt3i7Rqxfe8bVuKUiV1Zs0SKVxYpEQJfmazyv79IoUKMTHe+rwqnmHfPibgG8OL//Dh/vseb9kicvvt/A7eeadnc+DSy/r1Ij178v3Kk0ekb1+Rf/7x3fMPGEBxCIiUKiXyxBPMG8vmqEjKbly5wjyPUaNExo3jNqdTpHRp/ttr1hR5/HEmzWY2vOR0Mo/HonVrHtuqKvr0U9+ErjKLw0FvGECXuLe4elXk7beZRFmsGFex/pib4W/s28cKHWPoccvqqnfuXB7r4Yf1/fcUe/Yw5yV/fiYsX7hgt0WpExUl8sILFAelSjEEaLcXZd8+hpXz5OHn8v77KaB8wblzIr/8IvLoo0xW79TJte+HH0S2b8923xEVScGM+4f5ww9Z1RAS4gqbtWnj2r9tm/eSWK9cEVm8WOS//+XFDRDp1s21f+5ckbNnvfPcGcXp5AkKYF8ib7F8uUiNGnyeRx5h3o2Sfi5fFnnsMb5/XbtmPb9oxAgea/hwz9iXHTl7VmT2bP7udIp8+aVvwkaZwenkAqh0aQqkF17wvyT+06dF3nqLCyjrfD1vnu9EnMPhquSNinJ5mW69lV6u2bP9O3zqIVQkBQtOp8jBg+zfMXgwwzfly7uE0qBB7LHz5ptM1Dtxwj5bjx93NWE7dYofN2NY8fL66xQQ3s4BSothw2jP0KHeOf758wxJAiK33SaycKF3nic74HSKjB1LT1zlygyZZOVYvXszlGclGCvp4+JFekQLFqTnyNt5PFklPNwV3m7ZUmTzZrstujExMfT8V6hAm+vWpVfH1+fI48eZf9qjB//XgMjo0dx38aK9zTK9iIqkQOX0aXalvXKFf7/9tstDlDcv4+svvuj/eUAOB5urffABT1yWp2vSJO6/cMG3X74xY7hK8rRL2emkG7t0ab7GV1/13/yMQGPdOq5u8+RhyDKzXLmSdgdl5XquXBH57DOGZQCGqP35/YuOZuuHkBAmZ3/7rf2htYyQkMDk6vr1+X6XLy/y+ee+bWxrER8vsmyZq7fVjz/SpurV+R4vXhw0hScqkgKFI0dEPvmEiX3WigJwlYhv3szqqC1bfD8yw5NER4v8738uN/2kSXydVaqwLPePP7xzUnBf/XpaIEVEiNx9t/x/ZdbWrZ49vsJQT6dOfI/79MlaN3KnU+T777VFwM3Ys4chmLvvZk8hf8XpZBn/LbfQY92/f2D/b51OeqCtthhFitDzbWczzmPHuMC85x4uVqwqaCuNIoCvSSqS/I24OHpWxo7ljLClS7l99WqXWOjVi/kyq1a5PEnBytGjHMPRvTu/dADDK9ZJ7ty5rK8G//yTcf+1a7NurzuJiUxSz5eP7unRo/2zL0yw4HAwnAywWi0iInPHOXCARQadOgVn36/MkpREb6hV9Sri2+qrzLBzp6u8vlkzkU2b7LbIs2zaxL5qOXLwM9unj/3VsbGxzJ16+23XtgcfFGnQgOkUq1YF1PdKRZKdREe7PCbnzvFLnDu3y0tUujTL7kWoxLN7rkR8vMjff6csy+/Wja7z3r25+s9ortW6dcyj8PQ8to0bmSgPsK2C9uHxHXPmcHVdrBjbT2SGb7/l/+7llz1rWyDidDJJ1wrzNGrk/6HiS5dYKJIzJ8OBEycGVmgtoxw4wDYtefPSW3bffZ5f9GWFceM4iiVnTn6GihWjYAoAVCT5kh9+YAJ1586utvRPPcV9TieHPA4ZIjJjBsNr2azUMlPMmMGWBWXKuMTlo4+69t9oxbJrF0+gVat6bh7bpUtsQpcjB8eYzJyp/0c7OHBApGFDXjDefjtzHrwXX3SJAqsnk8ORvf6fe/YwudnKN5k2zb/FhtNJG8uVo83PPpu9FpdnzrD4xKqIa9WKiwZ/+Z9FR/Oc/dRT/9femYdHUWVt/D2ERZYBNERZZBMJGmQLsrmw6wREkRlHREfHEUEdFcdP3IdxRRZ3BlHAnZEZRwUHBCQIIigMmEBIAJUlgCwOhCUJW0g6ud8fb9VUdzaSkO6q7pzf89ST7qruzunqqnvfe8655xozcSL3nTrF0OEzzzBs6xVbLVQkVSaZmVTvb7/tiKFbb3WOt2vH0Et8PPdPmKDLTlQW+fksYzBpkrPG1/HjFEEJCZwdsnmz08Ht20eh2rgxZwVWBvPmMV9MhPlTXp/lE+kcP86QNcBrwK4sXFby8niPDhzI2mLGsFxFdDQHNM89Z8ySJe4kzgYb21OUkWFMXBwr6Hs9r2TzZmP693fCraGqLeRFjh5leL9lS/O/JY7efdebydQ7d3KZK3vVhsaNKaJSU922zBijIqli2GJo5szAuioDBjjeDFsM+cfv9+/3nEqOaDIy6A1o1875XZo3Z0eXl8c16DZsOPP/s2+fU3yyfXunQ1Xcp6CAoZaaNdlhnGlOytq1LOEQF+dcUyIsAGgMc3TS0sL3Pt+4kVO8u3VzBhRe95wdPcrZotWrs7L3tGma+2eTl2fM7Nn0qgL0sE2e7M0B3P79rF01fDh/x2+/5f61a2nzpk2uXIsqkkojM5M5K/YPM3myEyazt/r1nZBOYiK9Cdu3h28jGans2MHO8je/ObN6Ov7k5xvz5pu8BmrVMmb8ePfqOymls3atMS1aUCxNn145je2RI7znn3/eud9HjXLahYEDWQzwiy+8LzTS0+ndFqHtzz7r/Wu5oIChG//UBa8UpfUaBQUMGdsD+fr1KSzdrJdXGnl5zj31wgtOf9uyJXOvvvgiZMnfJYkk4bHK5dJLLzVJSUmV/rmVRlISMHs2sGkTt717uX/PHqBZM2DWLGDJEqB9eyAujn9btgSioty1Wwk9mzYBo0cDq1YB/foB06cDbdu6bZVSGgcPArfcAiQmArffDkybBtSuXbn/Iz0dWLkS+M9/uKWmso1IT+fxKVOAGjWAnj2BDh2A6tUr9/9XhOXLgauvZjt2//3Ao48C0dFuW1U6W7bQ1sREoFMn/paXXea2VeFBcjLw4ovAJ5/wNx82jL9///5A69ZuW1c8u3cDixYBCxYAX33F+3b//pD0vSKSbIy5tMiB4pTTmW6ue5KOH3fCZHbOULNmTuz6738PzBmaOJGeIa8XZFRCx8mT9A7UqMHclPff976XQHHw+ZzCq507V14+WkkcPRpYYNGe8QhwVmWfPs4aiqHk0CGu9m4M81QefdS7XgV/jh0z5okneP/Vr881JsNoOrmn2L6dy7HYC5oDrFw/ciRLPbhZd6k0cnJCmq+EiPQkZWUBmzdztL95M/Db3wKXX84RU79+fE3t2sDFF9MbNHYs0LEjkJdHZVqtWvBtjAROnQJycoAGDdy2JDR8/TVw113A1q3ArbcCL78MxMS4bZVSERYuBH7/e3YNs2YBQ4aE5v8aA+zaRS/T6tX826cPMHky259Onbj17An06gV07gzUrFl5///YMeD11+lJaNgQ2L49PDzhxgD//jfwwAPAzz8Dt93Gc3beeW5bFv4YA/z4I7B0KbBsGdu5zEweu/hiYMAAepn69AHOOcddW10gsjxJ+/bRM+SfM1S7NnMQjOEslPnzNWeovOTkMMF59mx6UYYN4+Ks9oKHzZtzts/jj3P67ebNkTW6O3jQmNtvN/8r5rlkidsWKZVBejrrYwEsQul2su+BAyy6519R33+plRMnWG+rIp7Lkye54GxMDD936FDPzB46LVu3GjNoEO3u0MGYFSvctiiy8fm4gsOLL3JWqF3EV4RRlocfZgHeKrC4rTGR5knKzwfuvBO46CInZ6hVK/UMlZVTp4CffnI8cHZu1rZtQEEBXxMVBVx4oXN+69YF0tKYe/Hjj4DPx9fVqsXjnTrRS2dvjRq59/3KizHARx8BDz7IkdXYscC4cUCdOm5bplQWOTnAffcB77wDXHUVcxK9cI3u3evkNd14I9CtG7B4MZCQADRt6niaevbksVq1Sv+8BQvoLevfH3jhBaBHj9B8jzPh5ElgwgRg0iR+v2ef5W/lhTyuqkRuLvD99/QyLV1KD2huLn+HHj0cT1PPnqe/DsOQkjxJ4SmSlLJRETFkJ6u3a1fyjXDqFIXShg0UTampfHzggPOapk0dwWQLqHbtmMzqJbZvB+65h4n6PXoAM2bQViUyeecd4N57gXPPBT79FOje3W2LirJ7N0NOdpjOTgZPSeG9tHYtQ8E9ezIB99NPgUOHeB0bw/f06uXudygr8+cDY8YAO3cCN98MvPQS0KSJ21YpAHDiBCes2KIpKYn9xllnAVdc4Yim+PiIELQqkiKZ8ogh/xl77dsDsbGVNyrYv98RTbZw2ryZORgAcy7i4gI9Tp06scMKNXl5wCuvAE8/TeE2YQJw993hkbehnBnJycANN9CL8/rr/N1F3LaqZA4coPAZPJid0QMPcPYcQG/niRMU+KtWhYc3vaAA+OEH4LHHgC++YJvwxhtA375uW6aURlYWsGKFI5rS0ri/fn3mMdmiqX378LgOC6EiKRLwihgqD3l5tNnf65SaCuzb57zmvPMCPU4dOzKRsDITWf1Zs4bT+lNTOS12yhTg/POD878Ub3L4MJPyFy7k37feCp/wqs/H+3/1amD9ek5Wuflmbwr87GwnTG+3AWlpTCyvV4+DlDFjvOdhVk7PgQOcJGWLpm3buD8mhhOnbNHUpo23ByEWKpLCifKKIX9B5JYYKi8ZGUUbz02b+N0Bjpgvvrio16lx44rfcNnZwF/+AkydynDg1KnA9ddX3ndSwouCAuD559lRX3IJcMcdrIHVti3DWNpxl538fIYFCw+GduxwXtOwYeBAaPBg3odKZPDzz5wxZ4smu/5g8+YUSwMGUDx5dECqIsmLVAUxVB58PuZaFM512rPHeU2jRkW9TnFxjJOXxuefMxl03z7mpIwfTzexoixeTIHk792MiqJQskVTbKzzuEULb3ptQsWRI0UHOBs3MuwHMNTSrl3R+/T888PCo6BUAsawLV+2zNkOHeKx2FhHNPXt640JFFCRFFx8PjYQZdn27i1ZDLVtWzSBOhLFUHk5fLj4RvnkSR6PinIaZf+GuVkzdnz33w/MncvKxzNmMOFVUfwxhpW6t25lleetWwO348ed19asCVxwQaBwsrdmzcIyH6NYfD62UYUHLbt3O6+Jjg4UQp060QNc2RXOlfCmoIBtuC2YvvkGOHqUxzp1ckTTlVe6NnitmiKpoIAdaXFipaT9FdnsxOSyoGKocsjP58y0wu79nTud15x9Nn8bnw946ingoYc0hFKZ+Hz0hK5b52z//GfkzU4yBvjll0DRZAupbducEDFAcXDhhYHCyRZT553nXU/KoUOBQsgOf+fk8Hj16iy5Ungg0qSJd7+T4l18Ps6Ws0XTd9/xWouKYqkLWzT16hUywR1ZImncODZOpxMv9g1eHkSYwBms7eyzVQwFk6wsx+uUmsprYNw4Jg8qFSc3l53m+eczMXPRIla4t715tWuzavSMGczvefJJhkkfeYQDgUiloIDfszgPVHp64ADqV79yBFRhL1R0dGjERl4e7Sw8uLDzRwD+vnZFcP+JFNpuKcEiJ4cTEWzRtGYNB8K1anGtvgULgi6WKiySRKQ5gA8BNAZQAGCGMeb10t4TdJE0eDBFUjBETK1aOjJSlKwsFti0PUQbN7KDnTmThVzT05n4Hh/PLTY2sFbKuHEssXDiBIsbPvooa6tUJXw+Lk1SOHS3ZQs9nnaoHeDgqXDozhZSFV0O6MCBot6hzZspeAF6VYsryaFLgChuc/QoF5BetoxtzZw5Qf+XZyKSmgBoYoxZJyK/ApAM4HpjzOaS3uOZcJuiKKWTnc0ihbYYuvJKYNQohl8aNaKHo2tXRwxdcUXZw2mHDrH+zd/+xnyfv/4VeOaZ4H6fcCE3lzO/ivNA7d7NEJ9NTEzxCeQXXshp9Lm5xRd33b/f+YwmTYov7hqsMhuKEmaUJJJOWybTGPMLgF+sx0dF5AcAzQCUKJIURfEgBw9SuLRrx064Sxd2pjZNm/IYQHG0Zw/3VdSzGh1NYTR2LPDeexRgAAsJ/uc/wC23VN1OumZNnmv7fPtz8iTz7Qp7nxITgQ8+CHztuedyYoO9TFDNmgxvDhoU6CHSBZoVpUKUKydJRFoBWAHgEmNMdqFjowGMBoAWLVp03bVrV+VZqShK+fn6a7qs16+nl+jnn5kIuWoVjz/2GPNk4uMpmBo3Do1dTz7JdcWaNeN6eaNGaTmGsnLsGFMNbPG0fTuFku0hattWJycoSgU448RtEakH4BsA440xpQYINdymKCHCGOa92OGyPXuA99/nseuvB+bNY4jGDpd17w707u2qyTCGXpFJkyjkGjQAHn6Y4klRFMUFKhxus95cA8BnAD46nUBSFCVIFBTQi9CmDafKvvYaV0w/coTHo6KYiJuTw+KaU6cCs2bRW+QlRIBf/5rb2rXA5MnOdzCGHq+WLd21UVEUBWUQSSIiAN4B8IMx5pXgm6QoCgDW5klMdLxEKSkMt2zezCnZrVtzoVbbS9ShQ+A0WY+W/w+ge3euYm97tJctA66+muUFHn2USeOKoiguUZbZbVcAWAkgDSwBAABPGGMWlvQeDbcpSgVIT2c9kIEDKYLmzweuu46lKbp04RYfz33R0W5bGxz276eHbNo0zrwbMIBiaeBALc2hKErQiKxikkpwOXaMs49WrOA2ZAhnKOXmAs89x47rssuq7sykysLnY3n+hQspjn76iftffRX4859ZK2TvXibjVrW1wrKzgenTeS4KCph3pcUMFUUJEiqSlJLJy+OMGGNYDn7lSlY7rVaNnotRo4DRozlLqls3Hqtbl4sTXn018LvfRd5SFMGG1IJ6AAAT/0lEQVRi7156S+LjOdU7OpoioG9fFkkdPJj1bxRiLwLdsSOv01//miHGP/5R1wdTQovPR29mVBTbSvVsRhRnlLitRBj79lEIrVxJT1Ht2iwDL8KlJS67jDOgevUKnJrdpQvr7CxfzlyZxER6QLp0oUhKS2MNnAEDIjccVF7y83luFyygxyglhXk2SUk878uWMZeobl23LfUmtWpRIAEUlydOAPfeCzz9NDBmDPCnPwHnnOOqiUoE88svwOLFXIZnyRLmz/XvzwrQY8eyvezShX87dwaaN1fxFGGoJynSKTxb6J57gLfe4uO6dYHLLwf69WPNnIqQns6GoUYNfsakSWwkunall+nqq1mluSqFizIzgYYN+XjECC76GhXFc217izp0cNfGcMUYCvtJk9hx1a3LGXJxcW5bpkQSu3cz9y8lhc8bNwYSEoAHHqAYWrGCeXMpKSz0afej9uzTb79l29i5M/MLtXaV59FwW1WhoIDenBUrHE/R3r30HjVpwmTgrVvpKercOXC9rTPF5wO+/54jrsRE5jU1aMA1pKKi6IFq0oR1eyJptGUMG8sFC7itXUth2qwZ6wBlZFAs2sJJqRxSU4G//x2YOJGh4TlzuFK9CialPOzZ43iL4uJYVsPnA4YOZZX4hAQW6iypzTp+3FkKZvRoXoujR3OdQ8Cpgh4fzwWgq1Xj51dm26ucMSqSIhWfjx10y5ZcemDWLOC223isaVOKod69gZtu4iKaoSQri/kk3bvzedu2HGm1aEHRcNVV4R+aW7kSGD6cbnmAOVuDB9NjpwuFhg6fD2jVigOCa68FHnmk6i2oq5SPCROA2bO5eDPAQc2oUcBTT535Z/t8HIympDjbsWPAd9/x+JAhHMzaYTo7bBcOZTsiFBVJkUJeXuDMs1WrePNNn87Ry7599OL07s06Ol7y2GzfTi/TkiXA0qUUUbfdxvWojOF36dbNm7PmjOEiogsXcrvlFuCOO9gpP/ggcM01HHGqMHKPgwedBXUPHWJu3SuvAD16uG2Z4ja7dgFffgkkJ7OtFGHy/65dXOdu0CB6e0LVXk6bRs96SgrFFAD06cN9APDSS2xLunTh+n4args6KpLClaNHgdWrmeR75ZXsCOzFKjt04L7evZlXdO657tpaHuzQXN26TMz98UfG7uvV43exPU1uh+YKCpiHsGABV20HgEsu4TIatsdO8RbHj3NB3ZdfBj7+mJ7MI0d4rXlRgCvBIS2N18GiRWxfAHrck5PpvfbKDLWjR2lrQQG9n/n5nIyQbS2PWqsW25zRo7nZ7/FaJf0wR0VSOLFgAWc9rVjBaff5+XTPzp/P4199xfh2JM3qOX7cmTGXmMikR4Brj117LVc6B4L/nXfupKfo4EGuYA9QhDZoQG/RoEG6ZEa4kJ/vTBi4807mndgL6moHE3ls305v0aBBwAUXUCD/4Q/00CQkcH+7dt4QRqfD52Oqgn+4btgwzub873+Z29mmTeDMup49wzt1wWVUJHmVvXsphvbsoXcC4GgiKYkXfe/e9Bb16kUvS1XBDs3ddBMTnidNAh5/nOE4e9Zcz56V44ZOTuYMtIULueQHwJHbhg1MsvTKiFOpOEuWAC+8wHBGw4bsbMaM0fBoOJOby7D9l1/SW2SHraZNY05gTo5T0y2SyMhgyNAWT9u3c/+HHwK33srZdjNnOnlOsbGaJF4GVCR5ia++Aj76iOLI9phERzP5t0YNzow67zytMOxPWhrw2Wf0Mq1ZQ9f0OefwnNWsyfym+vXLJmb++182rDfeyCU/nnkGGD+eI87Bg+kxattWhVEkYi+oO2cOhdLUqW5bpJQVYygAsrM5WMrKAho1ogDo14+eooQE3rtViexszq6LjWXKxeefc3B56hSPn3UWUzM++IApDZmZPGdVadBdBlQkVSZZWVTvmZl8bP8dMYLi5quvOJrxP5aVxYTrNm3oFXnpJSefqHdv5uWo2i8bmZmcWp+eDjz0EPddfjm9craXqX9/JzSXn0/PnF3QMTmZ+xcuZMN6+DDFqYZgqg5bttDD0KwZa9pMmcLcpZgYdrwxMRyJaw6Tuxw/ztSDRYs4sNmxg+3lN9/w+Jo1bDu1+nogeXmB4br16+ktj4nhgHDcOFb2959dd9VVVTpBXEVSQQG36tU5G2zDhqIiZ+hQ1slYvx544omiImfuXF5In37KpTgKs3IlQ2Vz5jCfpWFD5rLYf598ko3yqVNsfNVTUXnMnMmGdOlSjqyqVWM45dVX+XvGx3Nfr16Ot6hjR/0NFJbNGDOG97o/Bw6wU3n+eYY3YmICt8mT2als2sT32vsbNOC1ppQfY5gX2Lo1nyckMJesTh2WC7Fzi+zjSvlJSmJbaQuo9HRGLY4dY/84bRpn/dniKTa2ShQDjiyRlJvLkYS/iMnM5E3Uty/ze37/+8Bj2dnAm29ydsC6dawIXRg7prtuHXD33YECp0EDYORIiqh9+zgzq7AI0sbRfXw+hlQSE/lb3XgjG95PPgn/mkxK8DCGnURGhrMNGsTOYc4cTiDwP5aVxTID9lTy9993PisqijWbtm3j86lTObvKX2A1bUrvp/2/q7JYz852cou+/JLtd0YGPcHffEOvyJVXavpBsLAjI/HxfD5yJIu05ubyee3aXDNx7lw+37KF12+EhesiSyQdOVJ0lpMI3YiPP84R4O9+V1TAXHcdXer2tPrCIuess4Jns6Iokcm2bexkbAF18CBDvBMn8vjIkexgjhxx3hMby3AIwNDwhg2BIqpLF4ZEAAp+wAkDxsSErq0yhiIlP9/ZCgr4/2vX5qDkl1+4z/94TAzb6JMnWTSx8PvbtuVSH59+yjQFn4/h7oED6S0aMULD326Sl0dhv349vU116tCjCjBlZMcOXsO2t6lvX06kCWMiSyQVFLByqb/IqVdPvTiKoniXvDzmv2VkcJRuj9zffJNVn/09VRddRAEBsDOyZ27ZDB3KBF2AoeNDhwKFyjXXcNAIcKbmiROOQMnP59T4CRNoU6NGgQImP58zbSdMoL3FeV+ff57pA7t20WtWmNdeY32xjRuLX6fwnXdYjHXHDoYyExJY/FNzwLzPvHlOnlNKCsOjd93FNUHz81mqIC7OmV134YVhEa4rSSSFZ6ZwtWp0vyqKooQLNWpwYkfhsgP33FP6+xYu5IxMf09VixbO8Tp16ImJimLbGBXlFJwFgEsvdWpG2cdt4RIVRbFi77df07u389njxxc9ftllPB4dzXxA/+NRUY4AbNGCYs7/WLVqzvp6rVs7HjclPLjuOm42mZn0GAIU67t3M2yal8d9depQNI8axUR8WzjXqRN62ytAeHqSFEVRFEXxJrm5rDlnJ4ffcAMnNS1fznIN1aoFhutuvhlo3txVkyPLk6QoiqIoijepWdMRQP506sT8PFs8rV7N0gT9+lEkzZvHsJ3/or9t2riaSqMiSVEURVGU4HP22cD113OzOXzYSdI/eZL17pYsYQgZYN3BAQNCb6uFiiRFURRFUdzBf6b68OHcTp1ywnWXFomAhRQVSYqiKIqieIdatRhq69LFbUugc+YVRVEURVGKQUWSoiiKoihKMZRJJIlIgoj8JCLbROSxYBulKIqiKIriNqcVSSISBeANAIMAxAEYISJxwTZMURRFURTFTcriSeoOYJsxJt0YkwvgnwCGBtcsRVEURVEUdymLSGoGYLff8z3WPkVRFEVRlIilLCJJitlXZC0TERktIkkikpSRkXHmlimKoiiKorhIWeok7QHgv6jK+QD2FX6RMWYGgBkAICIZIrKrUiwsmUYADgb5fwQDtTu0qN2hJ1xtV7tDi9odWtTu0mlZ3M7TLnArItUBbAEwAMBeAN8DuNkYs6myLSwPIpJU3GJ0XkftDi1qd+gJV9vV7tCidocWtbtinNaTZIzxich9ABYDiALwrtsCSVEURVEUJdiUaVkSY8xCAAuDbIuiKIqiKIpnCOeK2zPcNqCCqN2hRe0OPeFqu9odWtTu0KJ2V4DT5iQpiqIoiqJURcLZk6QoiqIoihI0PC+SROSY2zaUBxHJF5EUv61VKa/tKyJfhM66khERIyKz/J5Xt0o5eMK+0yEiw6zvcJHbtpyOcD/XQPjdl4U5nf0islxEPDETKJyubX9E5EkR2SQiqVZb2MNtm8qKiJwvIv8Wka0isl1EXheRmqW8/s8iUieUNhb6/0ZEXvZ7PlZEnnbLnvLg12duEpENIvJ/IuIZbeIZQyKIk8aYzn7bTrcNKiPHAVwiIrWt51eBJR/KjFUuwi1GAPgWwE3leZO1NmGoOeNzrVQpKnRtu4mI9AIwBEC8MaYjgIEIXLnBs4iIAJgD4HNjTFsAsQDqARhfytv+DMA1kQTgFIDfiEgjF22oKHaf2R5sCwcDeMplm/5HWIgkEaknIktFZJ2IpInIUGt/KxH5QURmWio00a/j8QwiEiUiL4rI99ao6i6/w/VFZK6IbBaRt1xW0IsAXGM9HgHgH/YBEekuIqtEZL31t521/3YR+URE5gNIDL3JvD4AXA5gJKyOxPLSrSju3IrIMRF5VkTWAOjlhs2o2LleKSKd/V73nYh0DKnVfhT2hIrIVBG53Xq8U0Se8btnPecFKc1+r1DKtV3SeR8sIj+KyLciMsVF72QTAAeNMacAwBhz0BizT0S6isg3IpIsIotFpIll93IRec263jeKSHeX7AaA/gByjDHvWbbnA3gQwB0iUldEXrKu6VQRuV9ExgBoCuBrEfnaJZt9YILzg4UPiEhLq/9Mtf62EJEG1j1qt4l1RGS3iNQIteH+GGMOABgN4D4hJfadIvKI9TtsEJGJwbIpLEQSgBwAw4wx8QD6AXjZUvsA0BbAG5YKzQTwW5dstKktTqhtrrVvJIAsY0w3AN0AjBKR1tax7gAeAtABQBsAvwm5xQ7/BHCTiJwFoCOANX7HfgTQ2xjTBcBfAbzgd6wXgD8YY/qHzNJArgfwpTFmC4DDIhJv7S/p3NYFsNEY08MY823IrSUVOddvA7gdAEQkFkAtY0xqyCwuPwete/ZNAGPdNiZMKenaLoJ1LU0HMMgYcwWAmBDZWByJAJqLyBYRmSYifawO+G8AbjDGdAXwLgK9M3WNMZcB+JN1zC3aA0j232GMyQbwM4A7AbQG0MXykH1kjJkCrkLRzxjTL9TG+vEGgFtEpEGh/VMBfGjbC2CKMSYLwAYAfazXXAtgsTEmL2TWloAxJh3UJueihL5TRAaB90YPY0wnAJODZU+4iCQB8IKIpAL4Clxg9zzr2A5jTIr1OBlAq9CbF4B/uG2Yte9qALeJSArYGUaD4g4A1hpj0q3Ryj8AXBF6k4nV4bYCPRuF62I1APCJiGwE8CrYkNgsMcYcDomRxTMCFB2w/o6wHpd0bvMBfBZaEwOp4Ln+BMAQq7O5A8D7ITG24syx/nrhvgxXSrq2i+MiAOnGmB3W83+U8tqgYow5BqAr6BXIAPAxgLsAXAJgidUW/gVc5srmH9Z7V4Ae9oYhNdpBUMz6pNb+3gDeMsb4AMDldi8AS8h9CGBMoUO9AMy2Hs+C0w5+DGC49fgm67lXsJ0gJfWdAwG8Z4w5AQT3d3Azh6Q83AKOiroaY/JEZCeAs6xjp/xelw/Ac+E28Ae/3xizOGCnSF8UvRndrskwD8BLAPqCF6TNcwC+NsYMEyajL/c7djxEthVBRKJB9/glImLAqvAGFB4lndscSzi5TbnOtTHmhIgsATAUwI0A3E4s9iFwoHVWoeP2vZkPb7Y1p7PfVUq5tueheLuLW4zcNax7bDmA5SKSBuBeAJuMMSWFuL3SFm5CoYiEiNQH1zBNh/ttdGm8BmAdgPdKeY1t/zwAE0TkHFDQLguybWVCRC4A24wDKLnvTECIfodw8SQ1AHDAEkj9UMJCdB5mMYB77HiviMSKSF3rWHfLfVgNVPVuhX9s3gXwrDEmrdD+BnCSi28PqUWlcwPoSm5pjGlljGkOYAc4WvLauS1MRc712wCmAPjeA6PYXQDiRKSW5eIf4LI95cXr9pd0bQPF2/0jgAvEmVE7HC4hIu1EpK3frs4AfgAQI0zqhojUEBF/j/Rwa/8VYIglK2QGB7IUQB0Ruc2yJwrAy6DnNhHA3WJNUrEEBgAcBfCr0JsaiNUm/AsMU9msgpP0fwusdtDy9q0F8DqAL7wwcBSRGABvAZhqWMSxpL4zEcwRq2PtP6ekzzxTvDi6+x/WhXgKjKPOF5EkAClgYxBOvA2GG9ZZuVQZYDwVAFYDmAjmzawAMLe4DwgVxpg94E1TmMkAPhCR/4NHRhwWI8Dz589nAO6Bx85tYSpyro0xySKSjdJHikHFvi+NMbtF5F8AUgFsBbDeLZvKQxjZX9K1fTPYEQbYbYw5KSJ/AvCliBwEO0C3qAfgb1bIzAdgGxh6mwFgiiXuqoOeD3st0CMisgpAfTCc7ArGGCMiwwBME5FxoDNhIYAnQA9HLIBUEckDMBPM+ZkBYJGI/OJyXhJAQXef3/MxAN4VkYfBvuePfsc+BsP4fUNmXVFqW+G0GuC1MgvAK9axYvtOY8yXwkksSSKSC+f3qXQ8XXFbRDoBmGmMcXOmgxKGWKHMscaYIW7bUpmISFMwhHGRMabAJRvC+r4Md/tLQ0TqGWOOWR3KGwC2GmNedduu0yEiy8H7NcltWxTFH8+G20TkbjCR7y9u26IoXsBy/68B8KSLAims78twt78MjLJG5ZvAsO10l+1RlLDG054kRVEURVEUt/CsJ0lRFEVRFMVNVCQpiqIoiqIUg4okRVEURVGUYlCRpCiKoiiKUgwqkhRFURRFUYpBRZKiKIqiKEox/D9za6A2CuDvSQAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Create a figure and an array of axes: 2 rows, 1 column with shared y axis\n", "fig, ax = plt.subplots(2, 1, sharey=True);\n", "\n", "# Plot Seattle precipitation data in the top axes\n", "ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-NORMAL'], color = 'b');\n", "ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-25PCTL'], color = 'b', linestyle = '--');\n", "ax[0].plot(seattle_weather['MONTH'], seattle_weather['MLY-PRCP-75PCTL'], color = 'b', linestyle = '--');\n", "\n", "# Plot Austin precipitation data in the bottom axes\n", "ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-NORMAL'], color = 'r');\n", "ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-25PCTL'], color = 'r', linestyle = '--');\n", "ax[1].plot(austin_weather['MONTH'], austin_weather['MLY-PRCP-75PCTL'], color = 'r', linestyle = '--');" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.6" } }, "nbformat": 4, "nbformat_minor": 4 }