{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "<small><small><i>\n", "All the IPython Notebooks in **[Python Seaborn Module](https://github.com/milaan9/12_Python_Seaborn_Module)** lecture series by **[Dr. Milaan Parmar](https://www.linkedin.com/in/milaanparmar/)** are available @ **[GitHub](https://github.com/milaan9)**\n", "</i></small></small>" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "<a href=\"https://colab.research.google.com/github/milaan9/12_Python_Seaborn_Module/blob/main/008_Seaborn_Distribution_Plots.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# What is Distribution Plots?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- Flexibly plot a univariate distribution of observations.\n", "- This function combines the matplotlib hist function (with automatic calculation of a good default bin size) with the seaborn **`kdeplot()`** and **`rugplot()`** functions. It can also fit scipy.stats distributions and plot the estimated PDF over the data.\n", "\n", "### Let's discuss some plots that allow us to visualize the distribution of a dataset. These plots are:\n", "\n", "- **`distplot()`**\n", "- **`jointplot()`**\n", "- **`pairplot()`**\n", "- **`rugplot()`**\n", "- **`kdeplot()`**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2021-07-17T05:52:37.879810Z", "start_time": "2021-07-17T05:52:35.123640Z" } }, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pandas as pd\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2021-07-17T05:52:38.697631Z", "start_time": "2021-07-17T05:52:37.882742Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:ylabel='Density'>" ] }, "execution_count": 2, "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" } ], "source": [ "num = np.random.randn(150)\n", "sns.distplot(num,color ='green')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2021-07-17T05:52:39.346071Z", "start_time": "2021-07-17T05:52:38.709353Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel=' Variable x', ylabel='Density'>" ] }, "execution_count": 3, "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" } ], "source": [ "label_dist = pd.Series(num,name = \" Variable x\")\n", "sns.distplot(label_dist,color = \"red\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2021-07-17T05:52:39.796196Z", "start_time": "2021-07-17T05:52:39.368487Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel=' Variable x', ylabel='Density'>" ] }, "execution_count": 4, "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" } ], "source": [ "# Plot the distribution with a kenel density. estimate and rug plot:\n", "\n", "sns.distplot(label_dist,hist = False,color = \"red\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2021-07-17T05:52:40.407485Z", "start_time": "2021-07-17T05:52:39.799125Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n", " warnings.warn(msg, FutureWarning)\n", "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2056: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel=' Variable x', ylabel='Density'>" ] }, "execution_count": 5, "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" } ], "source": [ "# Plot the distribution with a kenel density estimate and rug plot:\n", "\n", "sns.distplot(label_dist,rug = True,hist = False,color = \"red\")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2021-07-17T05:52:41.331255Z", "start_time": "2021-07-17T05:52:40.414321Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel=' Variable x'>" ] }, "execution_count": 6, "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" } ], "source": [ "# Plot the distribution with a histogram and maximum likelihood gaussian distribution fit:\n", "\n", "from scipy.stats import norm\n", "sns.distplot(label_dist, fit=norm, kde=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plot the distribution on the vertical axis:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2021-07-17T05:52:41.874193Z", "start_time": "2021-07-17T05:52:41.356193Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n", "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:1647: FutureWarning: The `vertical` parameter is deprecated and will be removed in a future version. Assign the data to the `y` variable instead.\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel='Density', ylabel=' Variable x'>" ] }, "execution_count": 7, "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" } ], "source": [ "sns.distplot(label_dist, vertical =True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Let's implement with dataset" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Data\n", "\n", "Seaborn comes with built-in data sets!" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "tips = sns.load_dataset('tips')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "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>total_bill</th>\n", " <th>tip</th>\n", " <th>sex</th>\n", " <th>smoker</th>\n", " <th>day</th>\n", " <th>time</th>\n", " <th>size</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>16.99</td>\n", " <td>1.01</td>\n", " <td>Female</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>2</td>\n", " </tr>\n", " <tr>\n", " <th>1</th>\n", " <td>10.34</td>\n", " <td>1.66</td>\n", " <td>Male</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>21.01</td>\n", " <td>3.50</td>\n", " <td>Male</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>3</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>23.68</td>\n", " <td>3.31</td>\n", " <td>Male</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>2</td>\n", " </tr>\n", " <tr>\n", " <th>4</th>\n", " <td>24.59</td>\n", " <td>3.61</td>\n", " <td>Female</td>\n", " <td>No</td>\n", " <td>Sun</td>\n", " <td>Dinner</td>\n", " <td>4</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " total_bill tip sex smoker day time size\n", "0 16.99 1.01 Female No Sun Dinner 2\n", "1 10.34 1.66 Male No Sun Dinner 3\n", "2 21.01 3.50 Male No Sun Dinner 3\n", "3 23.68 3.31 Male No Sun Dinner 2\n", "4 24.59 3.61 Female No Sun Dinner 4" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tips.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1 `distplot()`\n", "\n", "The **`distplot()`** shows the distribution of a univariate set of observations." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel='total_bill', ylabel='Density'>" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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kgYOZTBjaeaQDBUqibPxhRHKClwWF6VTWdzDss24mYyDEAqGqf1DVvwRWAIeB10TkPRH5sohEV4e0Caoy8Mk6Ws8gwN/N1N0/xMHjJ9yOYkxYCLnLSERygS8BXwG2AT/GXzBecySZCStV9R1kp8STmhi9l87MK0gnOd7L9ro2t6MYExZC+m0XkeeABcAvgGtVdWTxml+KSIVT4Uz42F7XHrXdSyPivB6WlGSyrbaN/sFhEiPwdqrGTKZQzyAeVtVFqvqvI8VBRBIBVHWlY+lMWGjq8s/uKY3i7qURK0qzGBxWdhzpcDuKMa4LtUD8c5Bt709mEBO+qurbASiO8jMIgNKcFPLSE6mosW4mY07ZxSQihUAxkCwiZwMjE+AzgOj/a2EAqKzvwCNQHCUruJ6KiLByRja/39nI8c4+8jOS3I5kjGvGG4O4Av/AdAnww1Hbu4DvOZTJhJnKunbmFaSTEBcbl8EsL83ilV2NbKltY93iIrfjGOOaUxYIVf058HMR+Zyq/nqKMpkwoqpU1rdzxaJCt6NMmfSkeBYUZrCttp3LFxXi9UTflePGhGK8LqZbVfVxYKaI/Jex+1X1h0EOM1GkrrWX9p5BlgUWtIsV58zIZndDJ/sau1g0PcPtOMa4Yrw+g9TA1zQgPcjDRLntgQHqZaWZ7gaZYvMK0klPjGNLTavbUYxxzXhdTP8R+Po/piaOCTeVde0kxXuYV5BOZV3sTP30eoSzy7J552ATnX2DbscxxhWhLtb3v0QkQ0TiReR1EWkWkVudDmfcV1XfzlnTM6PmFqMTsWpmNj6FisN2FmFiU6i/9ZeraidwDVAPzAP+bryDRORKEdknIgdF5O4g+0VE7g3srxKRFYHtSSLygYhUisguEbEzGBcMDfvYcaSDZSVZbkdxRW5aIuX5aXxwqJWhYZ/bcYyZcqEWiJEF+a4CnlLVcT9SiYgXuA9YBywCbhaRRWOarQPKA4/1+FeNBegHLlHVZcBy4EoRWRtiVjNJ9h87Qd+gL+bGH0ZbOzuXzr4h/rDnuNtRjJlyoRaI50VkL7ASeF1E8oC+cY5ZDRxU1WpVHQCeBq4f0+Z64DH12whkiUhR4PnIkprxgYetwTzFRq6gjtUzCID5helkJcfz+MYat6MYM+VCXe77buBcYKWqDgLdfPKP/VjFQN2o5/WBbSG1ERGviGwHjgOvqeqmYG8iIutFpEJEKpqamkL5cUyIKuvbyUyOZ0Zu7F407xFh9awc3jnYzIdNtgy4iS0TGXlcCNwoIrcBnwcuH6d9sKuLxp4FnLSNqg6r6nL8V3GvFpHFwd5EVR9U1ZWqujIvL2+cSGYittd1sKw0KypvMToR58zIJt4rPLGx1u0oxkypUGcx/QL4AXABsCrwGG8V13qgdNTzEuDoRNuoajvwJnBlKFnN5OgdGGb/sS6WlcTu+MOI9KR41i0u4ldb6ugZGHI7jjFTJtQziJXA+ap6h6p+PfD4xjjHbAbKRWSWiCQANwEbxrTZANwWmM20FuhQ1QYRyRORLAARSQYuBfaG+kOZM7frqP/Wm7E8/jDabefOoKtviOe2HnE7ijFTJtQCsROY0GI8qjoE3AW8AuwBnlHVXSJyu4jcHmj2ElANHAQeAu4IbC8C3hCRKvyF5jVVfWEi72/OzPbALUaXxvAMptHOmZHNspJMHn3nED67Z7WJEaHeP3IasFtEPsA/BRUAVb3uVAep6kv4i8DobQ+M+l6BO4McVwWcHWI244DK+g6Ks5LJT7flrsG/DPhfXzibbzy1jT/uPc6liwrcjmSM40ItEP/oZAgTfqrq21lq4w8fc9XiQv4tK5mH3q62AmFiQqjTXP8EHAbiA99vBrY6mMu4qK17gJqWnphbwXU8cV4PXzpvJpsOtbKjPnbWpTKxK9RZTF8FngX+I7CpGPitQ5mMyyoDF8jZGcQn3bi6lLTEOB5+p9rtKMY4LtRB6juB84FOAFU9AOQ7Fcq4q6q+AxFYajOYPiEjKZ4bV5XyQlUDR9t73Y5jjKNCLRD9geUyABCROGzpi6hVWdfO3Lw00hJDHaKKLV8+fyYCPPiWnUWY6BZqgfiTiHwPSBaRy4BfAc87F8u4ZeQWozb+cHIl2Sl85uxint5cS1NX//gHGBOhQi0QdwNNwA7gb/BPXf3vToUy7jnS3kvziQErEOP42kVzGBjy8cg7h9yOYoxjQp3F5MM/KH2Hqn5eVR8KXMNgoszIXeOW2/jDKc3OS+PqpdP5xfuHae8ZGP8AYyLQKQtEYAmMfxSRZvxLXewTkSYR+f7UxDNTraq+nQSvh/mFdsvx8dx58Ry6B4b56buH3Y5ijCPGO4P4W/yzl1apaq6q5gBrgPNF5FtOhzNTb3tdO4umZ5AQF3u3GJ2oBYUZXLaogJ+9d5guu2+1iULj/RW4DbhZVT/qaFXVauDWwD4TRYZ9yo4jHSy38YeQ3XXxXDp6B/mZnUWYKDTePMZ4VW0eu1FVm0QkPtgBJnIdPH6CnoHhmL7F6Mk8uenk94JYUJjOfW8eJCUhjuQEb9A2t6wpcyqaMY4Z7wziVKNvNjIXZSoDK7jaEt8Tc9miAvoGfbx1wO5oaKLLeGcQy0SkM8h2AWyZzyhTWd9OelIcM3NT3Y4SUYoyk1laksl7HzZz3pxc0pPs5NpEh1OeQaiqV1UzgjzSVdV+C6JMZX07y0qy8Hhi+xajp+PSBQUM+5Q399tZhIkeNlXFANA3OMzehi4bfzhN09ITWVGWzQeHWu26CBM1rEAYAHYd7WTIbjF6Ri5ZkI8Ar+0+5nYUYyaFFQgD/OcAtU1xPX1ZKQmcN2ca2+raOdJmK72ayGcFwgD+K6gLM5LIz7C5B2fiovl5pCR4eWlnA7YajYl0ViAM4L8HtY0/nLmkeC+XLizgUHM3exq63I5jzBmxAmFo7xngUHO3reA6SVbNzCEvPZHf72xgyOdzO44xp80KhKGq3lZwnUxej7BucSEt3QNsrG51O44xp80KhPlogHqx3YN60swvSGdeQRqv7zlGpy3kZyKUFQhDZX07s/NSybArgCeNiHDt0ukM+ZSXdza6HceY02IFIsapKltr21lRlu12lKiTm5bIp8rz2F7XzsbqFrfjGDNhViBiXE1LD63dA1YgHPJn8/LISonn+7/byeCwDVibyGIFIsZtqWkD4JwZViCckBDn4Zol09l/7AQ/fdfuX20ii6MFQkSuFJF9InJQRO4Osl9E5N7A/ioRWRHYXioib4jIHhHZJSLfdDJnLNta20Z6Yhzl+WluR4laC4vSuXRhAT98bT81Ld1uxzEmZI4VCBHxAvcB64BFwM0ismhMs3VAeeCxHrg/sH0I+LaqLgTWAncGOdZMgq217SwvsxVcnSQi/POfLybe4+G7z+2wK6xNxHDyDGI1cFBVq1V1AHgauH5Mm+uBx9RvI5AlIkWq2qCqWwFUtQvYAxQ7mDUmnegfYl9jp40/TIHCzCTuvmoB733YwjMVdW7HMSYkThaIYmD0b0I9n/wjP24bEZkJnA1sCvYmIrJeRCpEpKKpydbin4jKunZ8Cits/GFK3LyqjNWzcvjnF/dwvLPP7TjGjMvJAhGsz2LsufUp24hIGvBr4G9VNdid7VDVB1V1paquzMvLO+2wsWhkgNpWcJ0aHo9wz2eXMDDk43u/sa4mE/6cLBD1QOmo5yXA0VDbiEg8/uLwhKo+52DOmLW1to15BWlkJtsFclNldl4af3fFfP6w57h1NZmw52SB2AyUi8gsEUkAbgI2jGmzAbgtMJtpLdChqg0iIsAjwB5V/aGDGWOWz6dsswvkXPFX589i7ewc/un53dS19rgdx5iTcqxAqOoQcBfwCv5B5mdUdZeI3C4itweavQRUAweBh4A7AtvPB74AXCIi2wOPq5zKGouqm0/Q0Tto4w8u8HiEH9ywDI8I336mkmGfdTWZ8BTn5Iur6kv4i8DobQ+M+l6BO4Mc9w7BxyfMJNla0w5gZxAuKclO4R+uO4vv/KqSB9+q5msXzXE7kjGfYFdSx6gtNW1kJscze1qq21Fi1udWFHPVkkL+/dV9bK1tczuOMZ/g6BmECV8VNa2ssAvkpsyTm2qDbj+nLIf3Pmzhr3+2mbsuLic5wRu03S1rypyMZ0xQdgYRg5q6+vmwqZvVs3LdjhLzkhO83LSqjI7eQZ7bVm9TX01YsQIRgz445L/L2ZrZOS4nMQBlOSlcvqiQXUc72XTI7kBnwocViBi06VALKQlelhTbHeTCxQXl05hfkM6LVQ22oJ8JGzYGEUNG+sFf2dVIcVYyv6qodzmRGeER4S9WlnLfmwd5clMtd148lwy7gNG4zM4gYkx3/xDHOvuZZbOXwk5ygpdb186gf8jHkx/UMmQ3GDIuswIRYw4Hui+sQISnwowkPndOCbWtPTxf1eB2HBPjrEDEmEPN3cR7heLsZLejmJNYUpzJn83LY/Ph1o8mFBjjBhuDiDGHmrspzUkhzmOfDcLZZYsKONrey/OVR8lLT3Q7jolR9lcihvQODNPY0WfdSxHAI8KNq0rJTo3n8Y01VDedcDuSiUFWIGLI4ZZuFBt/iBQpCXF88dyZiMCXf7aZlhP9bkcyMcYKRAw51NxNnEcozU5xO4oJUW5aIretnUFjRx9ffayCvsFhtyOZGGIFIoYcau6mJDuFeK/9b48kZbmp/OjG5Wyra+e/PLMdny0PbqaI/aWIEa3dAxxt72VuvnUvRaJ1S4r43rqFvLSjkX/9/R6345gYYbOYYsTbB5pQoDw/3e0o5jR95cJZ1LX18NDbh8hJTbR7SBjHWYGIEW/tbyY53mvXP0QwEeEfrj2Ltp5B/u3lvWSlxHPzalsG3DjHCkQMUFXeOtBEeUEaHrH7P0Qyr0f49xuW0dU3yPd+s4P0pDiuWTrd7VgmStkYRAzY09BFU1e/dS9FiYQ4D/f/5TmsnJHNt365nTf3HXc7kolSViBiwJ/2NwFQXpDmchIzWZITvDz8xVWU56dz++Nb2HzYluQwk88KRAx4a38TCwrTyUiy5aOjSWZyPI/99WqmZyXzpUc/YEuNFQkzuaxARLnu/iEqalr5s3l5bkcxDpiWlshTX11LfkYSX3x0M1tr29yOZKKIFYgo9/6HLQwOqxWIKFaQkcRTX13LtLQEvvjIB2yzImEmiRWIKPen/U0kx3s5Z2a221GMgwozk3hq/Vpy0hK47ZEPqKxrdzuSiQJWIKKYqvLm/uOcOyeXxDiv23GMw4oyk3nqq2vJSo3n1kc2saXGziTMmbECEcX2HztBXWsvn16Y73YUM0WmZyXz9PpzyU1N4AuPbOK9D5vdjmQimBWIKPbqrkYALltY4HISM5WKs5J55m/OpSQ7mS//dDNv7LXrJMzpcfRKahG5Evgx4AUeVtV7xuyXwP6rgB7gS6q6NbDvUeAa4LiqLnYyZ7R6dfcxzi7LIj8jye0o5gw9ual2wsfccE4pP33vEF/5eQU/ueVs1i0pciCZiWaOnUGIiBe4D1gHLAJuFpFFY5qtA8oDj/XA/aP2/Qy40ql80e5Iey87jnRwxVmFbkcxLklNjOMrF8ymODuZO5/cyq8q6tyOZCKMk11Mq4GDqlqtqgPA08D1Y9pcDzymfhuBLBEpAlDVtwC78uc0fdS9tMi6l2JZUryXvzp/FufNmcbfPVvFT/54AFW7n4QJjZMFohgY/ZGlPrBtom1OSUTWi0iFiFQ0NTWdVtBo9EJVAwsK05mTZ8trxLqEOA+PfmkVnzm7mB+8up//9tudDA373I5lIoCTBSLYsqFjP7qE0uaUVPVBVV2pqivz8uxiMID6th621LRx7TJb5dP4JcR5+OFfLONrF83hyU213P74FnoGhtyOZcKckwWiHigd9bwEOHoabcwEvVjVAMC1tgy0GUVE+K9XLuB/Xn8Wr+89zs0PbaKpq9/tWCaMOVkgNgPlIjJLRBKAm4ANY9psAG4Tv7VAh6o2OJgpJjxfdZRlpVmU5aa4HcWEoS+cO5MHbj2HfY2dXPeTd9h5pMPtSCZMOVYgVHUIuAt4BdgDPKOqu0TkdhG5PdDsJaAaOAg8BNwxcryIPAW8D8wXkXoR+WunskaT/ce62Hmkk+use8mcwhVnFfLs7echwOcfeI/nK+3E3XySo9dBqOpL+IvA6G0PjPpegTtPcuzNTmaLVs9uqSfOI/z5cisQ5tQWF2fyu7su4I4ntvD1p7axva6d/3rlAhLi7PpZ42e3HI0iQ8M+ntt6hEsW5JObluh2HBNGTnWh3bXLphPn8fDIO4d4ZVcjN68qIzs14aP9t6yx+17HKvuoEEX+tL+J5hP93LCydPzGxgTEeTxcu2w6t6wuo6mrn//zxgGq6tvdjmXCgBWIKPLEplqmpSVy0Xyb7msmbnFxJnddPJdpaYk8vbmOJz+opbvfpsLGMutiihJ1rT28se84X794LvFeq/vm9OSmJfI3n5rD2weaeH3PcQ41d5Ofkch1y6bjXzrNxBIrEFHi8Y01eES4Zc0Mt6OYCOf1CBfNz2d+YTrPbT3CN5/ezo9fP8B1S6ef1sKPNoYRueyjZhToHRjmlxV1XL6ogMJMW7nVTI6izGS+dtEcrls2naPtvdz7xwO8UHWUE9btFDPsDCIK/HJzLe09g/zVBbPcjmKijEeEtbNzWVycyWu7G3n/wxa21LRxYXke58+1OxVGOysQEW5w2MdDbx9i5YxsVs3McTuOiVJpiXF85uwSzp8zjVd3H+MPe47x7sFmzp2Ty3mzc0lJtD8l0cj+r0a45yuPcqS9l3+6/iy3o5gYkJ+RxK1rZ1DX2sOb+5v4497jvH2gidUzc7igPI/M5Hi3I5pJZAUigg0O+/jx6wdYUJjOxfPtvtNm6pTmpPCFtTM41tnHW/ubeL+6hferWzhreiZrZucwKzfVZj1FASsQEeyZijpqWnp45Isr8Xjsl9FMvYKMJG5YWcqliwo+Gp/YcaSD/PRE1s7O5ezSLLcjmjNgBSJC9QwMce/rBzhnRjaXLLCzB+Ou7JQErlpSxKULC9hxpJ2N1a1sqDzKy7sa+bD5BH+xspQlxZl2VhFhrEBEqPveOMixzn7uu2WF/dKZsJEQ5+GcGTmsKMumvq2XTYdaeKainsc31lKen8bnzinhM2cXU3Aa11OYqWcFIgJVN53gobcO8dmzi1lpM5dMGBIRSnNSKM1J4adfLuLFqgZ+vbWee36/l//18l4uKM/jcyuKuXRhAakOz4A61UKFoYjlC/2sQEQYn0/5b7/ZSWKch7uvWuB2HGPGlZkczy1ryrhlTRmHmrt5bmv9R1doJ8R5uHDuNK44q5BLFxWQM2oVWeM+KxAR5ufvH+b96hbu+ewS8tPtNN1EllnTUvn25fP51qXz2Hy4lZd3NfLqrmO8vvc4nufgnBnZnDtnGmtn+7upkuLtQjw3WYGIIHsbO/m3l/dyyYJ8blxlS3qbyOXxCGtm57Jmdi7fv2YRu4528vLORt460MRP/niAe1+HBK+H5WVZLC3OZH5hOguLMpibn2ZFYwpZgYgQnX2D3P6LLaQnxXPP55bYwLSJGiLC4uJMFhdn8p0r5tPZN0jF4VY2Vbey8VArv9hYQ/+QDwCPwIzcVEqykynO8j+mf/RIoiAjyQrIJLICEQEGh31846lt1Lf18tT6tda1ZKJaRlI8lywo4JIFBQAM+5TDLd3sa+xib2MXHx4/QX17L3v2HKf5RP8njs9JTaAwI4mizCQKM5No6uonLz2RgowkclIT8NiHq5BZgQhzPp9y96938Oa+Jv71s0tsvSUTc7weYU5eGnPy0rhqSdHH9vUNDnO0vZfGjj6OdvTR2NFLQ0cfjR19NHT0sbW2jbaewY/ax3mE/PREijKTmZGbwszcVHLTEuyM/CSsQISxYZ/y3eeq+PXWer516TxuXh270+2MCSYp3svsvDRm56WdtM3P3j3M8a4+jnX2c6yzj2Odfexp7GRLbRsA6YlxzCtMZ0FhOnPz02yF2lGsQISpnoEhvv1MJb/f2cg3LpnLNz4994zncxvjBrf/3SbEeSjJTqEkO+WjbapK04l+alp6OHj8BLuOdrClpg2vR5g9LZVF0zNYMj0z5lepje2fPkzVtHRzxxNb2d3QyX+/eiFfuXC225GMiSoiQn56EvnpSayamcOwT6lp6WZvYxd7Gzv53fajPF95lPL8dFISvFy2yPkL+sJR7P3EYcznU57aXMu/vLiHOI/w6BdXcbGts2SM47we+airat3iQho6+qiqb6eyvoO//eV2kuI9fHphAdctm85F8/NiphvKCkQYUFXeOdjMD17dT2VdO+fNyeUHNyxjelay29GMiTki8tHU2cvPKmR+YTobth/lxR0NvFjVQHpSHJctKuDqJUVcUD4tqouFFQgXDQ77eG33Me5/80N2HOmgICOR/33jMv58ebHNqjAmDHhEWDUzh1Uzc/j+tYt492Azz1c28NruRp7beoT0xDguXVTAFWcVcN7caWQkRdcNk6xATLGBIR8Vh1t5vqqBl3c20NYzyKxpqdzz2SV8ZkVxVH8aMSaSxXs9XDQ/n4vm5zMwtIR3P2zmpaoGXt19jN9sO4LXIywvzeLC8mlcWJ7HkuJMEuI8bsc+I44WCBG5Evgx4AUeVtV7xuyXwP6rgB7gS6q6NZRjI4HPpxxp72X/sS52HOngg0OtbK1to2/QR0qCl0sXFnDtsulcsiAfr93wx5iIkRDn4eL5+Vw8P5//d9jHttp23j7QxFv7m/jx6wf40R8OkOD1sKAonSXFmSwryWLR9AzKclMi6izDsQIhIl7gPuAyoB7YLCIbVHX3qGbrgPLAYw1wP7AmxGOnjM+nDKsyNKwM+nx09w9xom+Irv4huvoC3/cNcqyzn8bO/7xQp661h+6BYQBEYGFhBjetKmPt7Fz+bF4eyQl2tmBMpIv3elg9K4fVs3L49uXzaese4P3qFirr26mq62DD9qM8MWqqb3ZKPGW5qczISaEgI5Gc1ERyUxPISU0gOzWe5Pg4khO8pCR4SYr3khzvJd4rrnQ7O3kGsRo4qKrVACLyNHA9MPqP/PXAY6qqwEYRyRKRImBmCMdOmkv+/U26+4cY9ilDPmV4OPDVpwz5fPg09NealpZIUWYSpTkprJ2dy7yCdOYVpDGvMD2iPjkYY05Pdqr/7nojV337Ri0VUtPaQ01LD3WtPWyra6Opq5++Qd+4r+kRiPN48HoEr0f8z70ePCJ4Pf6/Oy9+48JJ/1mcLBDFQN2o5/X4zxLGa1Mc4rEAiMh6YH3g6QkR2XcGmc9YTWjNpgHNjgZxRqTmhsjNHqm5IXKzfyz3X7oYZCLkm8Dp/TefcbIdThaIYOdDYz+Ln6xNKMf6N6o+CDw4sWjuEpEKVV3pdo6JitTcELnZIzU3RG72SM0Nk5/dyQJRD4y+aUEJcDTENgkhHGuMMcZBTs7B2gyUi8gsEUkAbgI2jGmzAbhN/NYCHaraEOKxxhhjHOTYGYSqDonIXcAr+KeqPqqqu0Tk9sD+B4CX8E9xPYh/muuXT3WsU1ldEFFdYqNEam6I3OyRmhsiN3uk5oZJzi7+CUTGGGPMx0X2ZX7GGGMcYwXCGGNMUFYgppCIXCki+0TkoIjc7XaeUxGRR0XkuIjsHLUtR0ReE5EDga/ZbmYMRkRKReQNEdkjIrtE/LPDIyR7koh8ICKVgez/I7A97LODf/UEEdkmIi8EnkdK7sMiskNEtotIRWBb2GcPXFj8rIjsDfx7P3eyc1uBmCKjlg9ZBywCbhaRRe6mOqWfAVeO2XY38LqqlgOvB56HmyHg26q6EFgL3Bn47xwJ2fuBS1R1GbAcuDIwuy8SsgN8E9gz6nmk5Aa4WFWXj7qGIBKy/xh4WVUXAMvw/7ef3Nyqao8peADnAq+Mev5d4Ltu5xon80xg56jn+4CiwPdFwD63M4bwM/wO/5peEZUdSAG24l9BIOyz479W6XXgEuCFSPr3AhwGpo3ZFtbZgQzgEIGJRk7ltjOIqXOyZUUiSYH6r1Mh8DWsb3cnIjOBs4FNREj2QDfNduA48JqqRkr2HwF/D4xeWCgScoN/lYZXRWRLYOkeCP/ss4Em4KeBbr2HRSSVSc5tBWLqhLx8iDlzIpIG/Br4W1XtdDtPqFR1WFWX4/9EvlpEFrscaVwicg1wXFW3uJ3lNJ2vqivwd//eKSKfcjtQCOKAFcD9qno20I0D3WBWIKZOKEuPhLtjgdV2CXw97nKeoEQkHn9xeEJVnwtsjojsI1S1HXgT/zhQuGc/H7hORA4DTwOXiMjjhH9uAFT1aODrceA3+FeiDvfs9UB94AwT4Fn8BWNSc1uBmDrRsHzIBuCLge+/iL9/P6yIf9H8R4A9qvrDUbsiIXueiGQFvk8GLgX2EubZVfW7qlqiqjPx/7v+o6reSpjnBhCRVBFJH/keuBzYSZhnV9VGoE5E5gc2fRr/7RAmNbddST2FROQq/H21I8uH/Iu7iU5ORJ4CLsK/fPAx4B+A3wLPAGVALXCDqra6FDEoEbkAeBvYwX/2h38P/zhEuGdfCvwc/78PD/CMqv6TiOQS5tlHiMhFwHdU9ZpIyC0is/GfNYC/2+ZJVf2XCMm+HHgY/+Km1fiXKvIwibmtQBhjjAnKupiMMcYEZQXCGGNMUFYgjDHGBGUFwhhjTFBWIIwxxgRlBcKYMQKrZN4xTpuZInJLCK81c/SKuEH2f0lEfnKSfe+NfQ0RuWhktVRjnGYFwphPygJOWSDwL2Q4boE4E6p6npOvb8x4rEAY80n3AHMC9wf4/wKPnYF7Btw4qs2FgTbfCnzKf1tEtgYeE/njXioiL4v/XiH/MLJRRE5M5g9lzETFuR3AmDB0N7BYVZeLyOeA2/Gvtz8N2CwibwXafEdVrwEQkRTgMlXtE5Fy4ClgZfCX/4TVwGKgJ/D6L6pqxeT+SMZMnBUIY07tAuApVR3GvxDan4BVwNgVYuOBnwSWPxgG5k3gPV5T1RYAEXku8J5WIIzrrEAYc2rBlmkP5lv416xahr/rtm8C7zF2vRtb/8aEBRuDMOaTuoD0wPdvATcGbuSTB3wK+GBMG4BMoEFVfcAX8C+4F6rLAvcSTgb+HHj3DPMbMynsDMKYMVS1RUTeDUwt/T1QBVTi/2T/96raKCItwJCIVOK/f/f/D/xaRG4A3sB/A5dQvQP8ApiLfzVR614yYcFWczXGGBOUdTEZY4wJyrqYjJkCInIF8G9jNh9S1c+4kceYUFgXkzHGmKCsi8kYY0xQViCMMcYEZQXCGGNMUFYgjDHGBGUFwhhjTFD/FztWs0XiCAlvAAAAAElFTkSuQmCC\n", "text/plain": [ "<Figure size 432x288 with 1 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.distplot(tips['total_bill'])\n", "# Safe to ignore warnings" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", " warnings.warn(msg, FutureWarning)\n" ] }, { "data": { "text/plain": [ "<AxesSubplot:xlabel='total_bill'>" ] }, "execution_count": 11, "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" } ], "source": [ "sns.distplot(tips['total_bill'],kde=False,bins=30)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 2 `jointplot()`\n", "\n", "`jointplot()` allows you to basically match up two distplots for bivariate data. With your choice of what kind parameter to compare with:\n", "\n", "- `scatter`\n", "- `reg`\n", "- `resid`\n", "- `kde`\n", "- `hex`" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.JointGrid at 0x1bfbe8c42b0>" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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IMiiJyMNKqU0icgST03ZxlFItWW0ZERHlnVQjpa1Tvx8D8IWYxwXA32atRURElLcsg5JSqnvqj5cppTpjnxOR5VltFRER5aVU03d/CuDPADRNVYg1lQP4VbYbRkRE+SfV9N0PAfwHgP8N4Esxjw8qpc5ntVVEZEu6Uh5EuSbV9F0/gH5M7uhACdgZ5J5s/5u5/TNhGAr7Xu3B4VP9MBQQFODK+kqsW1bLn0XKWdwlfAa4C3Tuyfa/mRc/E13nh3G8Zwg7nz4ZPefW9c24bEEZGudzfRTlJtZTmgHuAp17sv1v5sXPRM/AKO7fezzunPfvPY6egdGsnZMo2xiUZoC7QOeebP+befEzMTw2kfScI2P2tqAh0hGD0gzkSl0feke2/81qypMff0FZ9n4mls4rTXrOhnnc+JVyF4PSDHAX6NmxUyrcqXLi5nH6hkex7ZYWy3+z2Z4vGAC2rm+OO/7W9c0IxvwPS3eOTNtwyfzpP4d/e0sLzo+Mel6CPZNr8ap0PEvW64mJDjOQK3V9dGQnIcCppIHE4yytnoOdt7WiMChx2XFOnK+7P4zvH+jE7dc2QQRQCvj+gU5c3TAXjfPL0p5jJm2I/TnsGQhjPKLwlceOoLPvoqfJN5lci1dJQ0xW0hdHSjOUC3V9dGQnIcCppIHE43T2XUTbQ+2orQjF/Zs5cb7aihAujIzhgadO4Jv7TuCBp07gwshYdHow3Tlm2gbz57C2IoS2h9rR2XdxxtfglEyuxaukISYr6YsjJXJVqoQAs8yDndc4dS6nzmdO6SZ+8zanB9OdY7ZtcOozc0ImbfGq3Tp9XmmJzLgExeL6JQ43JvsYlMhVdkqFO1VO3O5xnDhfuinddOeYbRt0KsGeSVu8ardOn1daCfWUdn36GqQrzprLOH1HrrKTJOJUIond4zh1vlRTuunOMds26JR8k0lbvGq3Tp8XxUtbDl0HLIfuL3ZKhTtVTtzucdwoX57uHLNtg04l2DNpi1ft9vjzsl8OXUT5cKRkef0MSkRE7mNQssB7SkQ0Y9yYmJzGoES+xk4ze7jWh7KBQYl8K587TTeCsdVan+Vb1uqXVk05g9l35Fv5ukDSDMY37tiPj3/7Wdy4Yz/2HD3j+DY63JiYsoFBiXwrXztNt4IxNyambGBQIt/K107TrWDMtT6UDbynRL6Vbusfv3JrtwJuTEzZwKBEvpWvnaabwdjcxYKJDeQUBiXyNV07zWxmx+VrMCZ/YFAicpkbqeq6BmOidJjoQOSyfE1VJ7KDIyUil+VULR/yXmI9pUABRGY+ol5cvwSn3+xyoGHZwaBE5LKcquVD3kuopzRbMy0Y6BZO31FeMAyFk71DOPD6OZzsHXJ8d4NMcH0PkTWOlCjK681LnT5/7PEmIgr3PHYEnX0XPd8Dj9lxRNYYlAiA95uXOn3+ZMfbsq4ZDz3Tie7+sOcbhzI7jig5Tt8RAO8zwpw+f7Lj7dh3HDevro/+3e974BHlIgYlAuD95qVOn9/qeGbSktOJBTrdsyLKZZy+IwDZywize5/I6fNbHU8p5xMLvJ76JPITjpQIQHYywjKp6+P0+ZMdb9stLfjgsvl4YstaRwOG11OfRH7CkRIByE5GWCaVSZ0+v5sZblwMS+QcBiWKspsRZndKLlVn3VhdmvQYTmakuZXhxsWwRM5hUKKMZHL/xKqznlMQxBNHunH87CAebj+FCyNjOX0PJl/rNhFlgyjlTZaQiAQBtAM4rZTamOq1ra2tqr293Z2GUUone4dw44790wLNE0mm5JIFsK/edAW+se94dBGruXbowshY0mPkCnP0yMWwZJPtHw4RUU5vM+RVvx/D8vq9HCltBXAMQIWHbXCV2zsmzPR8hqHwxrlhdJ4fRmlRAWoritEwb/K9sVNyiypDuHl1PcpDQZwbGp12nsT7OnMKg7jv8aPY2FIXTc3e1d6Fm1fX44GnTqS9BzObz8/Oew1Doev8MHoGRjE8NoGl80pxyXx75/DDYlivd/QgAjwKSiJSD+B3AXwNwJ1etMFtbqcNz/R8yd63dX0zmmvLsG5ZbXRKrqqkCLetWYpd7V3Y3NqAT/7Tc0nPE9tZP9/Rh3XLF2LHvuNxuywEAunvwczm87PzXsNQ2PdqD473DOH+vcfzLrWbae2kC69Swv8BwBcBGGle5xtupw3P9HzJ3nf/3uM4fKofHX3D0fsnt7bWY8e+49jYUhcNMunOUxQMTHvtjn3HUT+3BNs3rUJAYLn4dDafn533dvQN4/Cp/mhAyvQcuY5p7aQL10dKIrIRwFml1Asi8oEUr2sD0AYADQ0N7jQui9xOG57p+azeZyhE37th5cJoAoMIbJ9nZCyS9LWlxUFElMKG+/dbfkufzedn5709A2EYyv61+A3T2vUS2/8BzpabWFy/xLFjZYMX03e/BeD3RORGACEAFSLyA6XUJ2JfpJTaCWAnMJno4H4zneV22vBMz2f1voAg+t5AQNBYXRq3MNXOeayOPa+0CJt3PpNyPdNsPj87762tCCEo9q/Fb5jWrpfY/s+pRAdNEhzScn36Tin1ZaVUvVKqEcDHAOxLDEh+5HYNnZmeL9n7tq5vRkt9Zdx7zdf97MXT2LKu2dZ5rNo0FjHS7ns3m8/Pznsbq0txZX0ltq63dy1+wxpPpAvPUsIBYGr67s/zJSXc7bThmZ7PzL7rOj+MkoTsu2THPz88isJgACNjkbRZW8na1NE3bCvNfDafn533xmbfjYxNoCGD7Ds/YFq7q1xPCddspGR5/Z4GJbv8EpT8JFXa+EyOxcwvyjMMSha4owNlLF3aeKaBJBv71HHNDVFuYlCiKLsduVXaeNt1TWiaP7MFpE4uPuXIiyh3sXQFAciszES6tHGv5cuaGxYWJD9iUCIAmXXkZvpwrMS0cS95XUXXDZl8iSDKJQxKBCCzjtxu2rhbYkcMr58dQmlxQdKgqUPAdEq+jAYp//CeEgHIbPGkmZiw7I61adPGsy3Z/aO7f2c5Pv+hy/H3//mab0tJcAcG8isGJQKQeU2gQEBwaU0ZLq3xtgNMNmL4+n+8gq3rm3H7tU0IBoD1y2twZd1cXyU5cAcG8isGJQKQPC27oaoEHX3D6BsexZzCIIZHI9GSDkvnlaDrwohlpl66TL7EdU4LK4sxEZlMlDBfDyBtNqDViGF4LIIHnjoBALjm0mpfBSQAaKgqwVdvugL3PPpSXK2qhqoSr5vmCqb8+xeDkk848Z80Ni3bnBbbtucY/vs1l2BkPBLdQXtp9Rzcsa45rkOMTblOl5Kd7Pl7P7wS//hfJ6LF/7ZvWoXS4gBe6HwbhgKCAlxZXzltHVTsiMGs7xQMAM015VhUGcKFkTFfjh66LozgG/uO4/ZrmyACKAV8Y99xrG6o8v30HVP+/Y07OvhANv6TmhVmzSmwnU+fjI5IPvPBy/DdX56cNnVkbguUrjqt1fO3X9sUHd2ECgP4+02r8PmEBbq/c8VCNM6P33rIDJ6bWxviajXNZkGv7g68fg4f//az0x7/cdv7sKZpvgctck8m1Y81xh0dLHCk5ANWmVjLZ/Gf1JwWE8G0kg7pylWkuwlv9bxI/N+PnRmYtkB3dUNVXFAypx3r5oam7TR+/97j+Pc71qYtapiL00D5fE8p75I8RJwpXREogIi7P9uL65fg9JtdGb2HQUljdjtMp/+TGoZCSVEQW9Zfhuaacpw4O5i0A7TqENN1mFbPx36JCxUGEEkoARkeNzAyNjGtvYGAWNZq6h0KWyZj5PI0UKaJKX6SdwFZKTgxUvLCTIIp1ylpKpPFkVaLWWfyn9Q87+adz2DH3hP4u5+/gsbq0riSDj978TS+etMVlmUO0pVBaKgqwbZbWuKev/fDK/H44dPRv2+7pSX699hrapiXvNOdyWeQy2t9zBHiE1vW4sdt78MTW9bmRDB1Asts+BtHSprKZErOyW/Nieft7LuIf9j7Gu7ffDVWN1RFSzosnVeC1Q1VSTdQTbXBqmEo/PxYD7Y/+Wr0ftXVDVW4dEEJ3tv4XvQOvZP5VxgMTLumS+ZPXlPiKLKhqiTjzyDXp4Gc3C8wl2RjA1/SB4OSpjLpMJ38T5rsvJ19FxGeiEy7gZ6qQ7TqMGODXmxSwxNb1k5b95QqsCWbdrthRS2eyOAzyLtpIB/J14CcDzh9p6lMp6PM/6RrmuajaUHZjL81pjtv7JY+HeeG8PrZzDYEzWQ7I/Oa3ttYDQB49o0+nOwdQtf55KPIrgsjGX0GnAYi0g9HSppy+ka23aSJhqoS7LytFe2d52GoyftHd21Ygcbq0rgRSlVJET75/qXRtUt2kwQyHZ0kGxV9/aNXoqqkCN397wSymUy7cRqISD8MSppyssO0m2Vm3u+Jfd22W1pww4rJdT4ne4eiz928uj4akID0aeixQfHbt7XinseOxC2UtQq2ye6t3f3IEbRd14Qde09EXzfTaTdOAxHphUFJY051mKmSJhqrS6PBoqQoOO11d+0+jCvrKqetL0q3VslkGApd54dxsOtt3P3IkbhgVzc3hHmlxSmDrdV03+W15dERV65Ou+XqGimibGJQygNWHfv54VG8cmYwGoi2rL8sZaBJnHpLNw1njtBOnR/G0FgEf7y2CQCw+4VTuGv3YVsr8K2m+1YsrMgoqSGViQkDR7v70d0fxqLKOVi5qAIFBdm93ZrLa6SIsomJDnnAKnkhNuUamNy5IVWSQ2xiwO4XTsWtXUo2WunoG8a2PcdQGirEzqdP4pv7TuA7+0/itjVLUVVSZKvonlUywiXzSx1J7JiYMPDoi6exeecz+JMfHMTmnQfw6IunMTFhpH9zEnarwaZaI8WKspTPOFLyIbtreBJ3Qdj9wilsWdcct3/ctlta0Dc8CmAyQGxYuRDv2roWPQOjGItEsOt/rMHIeCTp9FPPQBgbW+pw3+Mvx3W+O/YdR9t1TbbuAWU7GeFod390Y1mzffc8+hKaa8pw1ZKqjI6VyejH7uiVIyjKNwxKPpPJGp6OvuG4qbHu/jB2tXdhV9sajIxFMB5R+EpCQsINK2rxcvf0TvN9l0wvD1FbEUIwkPze0+W15bbvAWUzGaG7P3lwONMfxlVLMjtWJgueraYlE0evTuxjSJRLGJR8xpwyM0saAMC2PcewrLYcIkAwIBgMj+PFUxegFLB90yoACsFAAJ3nhrBiUSVWLqpE14UR/NH3nsPGljqIAGXFQXT2DeOp187i1TMD0ZRss9NcePv7UBAUDI9FUFM+GYzO9IfxW5fOx2OHTqOz72JcaYklVSXTaipZVa/NZkLAoso5SYPDwsr4e2OJ5zc/69jHMlnwbJXyb7WHnxu7TCQbYaeqmZXqvUzaoJliUPKZvuHRaSUctqxrxuvnhvC1f38Zm1sbsO+VM/j9dzfgL392NK7MQ0lhEPc8dgR3bViBRZXF0eMkW5O0ZV0zHnqmE939YVSVFOGVnkH89dQ0nXm87x/oxIWRMdy7cSV2H+zCuuULo+3a+fRJfPWmK/CNfcejI7FkpSaynRCwclFF0mJ5KxdVpjx/UYHgsz/8Tdxjy2IyAk3pSsonTksmjl5THcNJideZrmZWqvdyypFmg4kOPlMUDEQ7fuCdezhj4wY2ttRhx77j+OQ1TdGAZL7m/r3H0Tcyho0tdbjz4UOIGIgeJ9mapB37juPm1fUAgFtb66MBKfZ4N6+uR3jcwF89fhR3rL98WrvuefQlbGypi3vP4VP9cRuiZnvT1IKCAG66qg672tbgW59YjV1ta3DTVXXR7Dur8x8+1T/tsWAAGe0QkWwXDq92mUi8zo0tddPutVl97rm8sS3phyMln7Ga/jl5bji6tuji6ETS1xjqnfVH54ZG065JEpnsNJdUlVg+b/75zNv2aigZCnFTVXamxGY7dVRQEMBVS6qS3kOyOn9iQlx43MCZgfCskzK82mUi8TrtrkNL9t5Ur6UZcKqekgcW12d4YxYMSr5jdQN9wnhnbVFJcUHS1wQEiBiTf15UmX5N0rLactx+bRP6hkZT1kdKdc7EGkoBARZWhHCyd2hqQW8BllbPQWffxbjXxe7Fl82pI6vPM/HQZpucSMrwYpcJq+u0M43IjW2zLMv1lDSrSMvpO7+xmv5pqa/Ez148jS3rmvHgr0/iLz+8Mu41W9c3o7qkCI8fPo3tm1Zh5aLKlGuStq5vxtefOIbv/vIk5hQGcef1l097/qcHT0XvPz3465PTajB99aYr4moobV3fjHcvnYuXuwejdaQ27zyAO9Y1Y2n1nLjriU02yObUUarP008buSZeZ7qaWane64fPg7wjOkVIK62traq9vd3rZuQMczordvoHmOzAzw+PojAYgKEUDAWcGxxDWSiIylAhwhORuG1/Yo+zsCKEiAH0DoWxoGwyu667P4ySwiAGR8cxp7AAhQnZd939k1sXjUcMzC8rhlLA2cHRuJpMnedH0HV+GCVT2XcRA/jdb+yf9q17V9saXByPTJvOOvD6OXz8289O+wx+3Pa+aaU2svF5+mkj18TrNLPv7Fxjss8o1z+PLLP94YiI8uFIyfL6OX3nQ1bTP5lOCSU7Tmy9o8b5qY9lPm81xXbJ/NJpNZQOvH4u6f2Ji+PT6zkB7kwdOfV56i7Zddq9Rm5sS07h9F2Oy4UtaTKZYsu0jhSnjoj8hSOlHGaOQLbtOYaNLXUIBoD3LJ2H9zdVO7qh6Gw3LLXKzuoZsL+oNFVaNWsiEfkHg1IOM3dvSFwsu+2WFny4ZbEjHbO5YWni4tLYtTzplBQlz7wrKQpOe+1Mggynjoj8g9N3Oczc8DRxUepduw87ln1mtWHp0e5+28cYi0SwZV189t6Wdc0YjyTfidup0u5ElHs4UsphqTY8dWrhotWGpaffvogr6+baChjVpcXY1d4V3Y9PKWBXexc2XLFw1u0jIn9hUPLYbHYjaKwuxXuWzks6NbagzJnsM6sNSw0D2HP0jK1Fqo3Vpbhrwwrb94mIKH8xKHlotrsRBAKC9zdV429vacEXdx+O2wz1jb4hXDJ/9jf8k21Yeu/Gldj59Ot47eyQrZIKfkhG4C7YRO5gUPJQJvV3TMk6x5b6SrRd1wRDTU6Nmbtz2yk3no65YWlDVQne6BvGnKICfOfp13H49AAA2J4mzFYyghvBgrtgE7mHQclDqTayNMsYJNbwMTvHqpIi3Npaj8tqyrC4cg6KggGEJ+I3Qe3sG0ZHX+paRbFS1TcanTBw778dnTaNN6cwiAOvn/Nk9OBWsJjJlwdyBkeo+YdByUNWuxEsrAgl7WyX1ZZHA9Jta5bG1Tr65lMn4mod7Wrvwm/efBs79p6wrFUUK1kHb77nsgVluOexI9NKpX/to1diy49/E1eZ1s3Rg1vBgrtge4Mj1PzElHAPWe1GEDGQtLPtPD8crW+UrtbRlzaswL+2n4o+lqxWUaxkHbz5nrODo+jsu4iHnunE7dc24bPrLpvcHXwwHN29O5ONUJ3ahSJVsHBSprtMkDNYpyk/caTkIasEgGff6Eva2ZZOlX+IrXVjVffm+NkhdPeH4x5LrFUUK1XdoP6L4wgVBtDdH8YDT50AMNkp335t07TXpxs9OPnt162SCZnuMkHO4Ah1SrbrKQUKIOLOyHNx/RKcfrMr5WsYlDyWLAHAqrOtLS/GtltacLJ3KG2tI7N+UuxjAYFlh52qblBFqHBap7ztlhZsf/LVaedIFxCcnHJzK1j4IXswF7FO05Qs11Nyk53gyqCkIavOtmFeKernluD5zvOoqQjhvsdfjtY6MqfwzNcWFUj0P3Ts/SGrDruxujRpanlpURC1FcV4T+M8LN+ydqrwXhCGUrjz+mW4K+b1dgKCk99+3QwW3MrIfRyh5ifWU9KUmXVk1j8aGYvEZeF1nR9Gz8BkbaLG6lIYarLWUWy9nzfODcfVKkqXfTcxYeC5zj70DY2jtCiICUOhuFCw9rKaaH2l2Km3pdVzcN9HrsScogCKEtpodZ6TvUO4ccf0eklOpK+T//i4TpM29ZTcFFO7ifWUck0gIGisLsUrZwaT3n9pnF82rZ5RbF0i8++Jj6U759sjE/jCT16MO58pceqts+8ivvLYkaQjJqt7RPz2S5ngCDX/MPtOY25lH5nZcM93nE95vmRTbxtb6qIByU4bAwHBDStqsattDf7xE6uxq+39uGFF8jR1Iso/DEoaS3X/xam06okJAz87/BZu3LEf+08kr/pqplgnS41OtSFsMoah8PNjPdi88xn8yQ8OYvPOA/j5sR4tixMSkfsYlDSWGAQWVYawZf1luDgWwa9OnMMffe85fPzbz+LGHfux5+iZlB17siBmGAq/PtkXN9JJtR4n2boqc0NYq/ckmsnoLxeq6xKRM3hPSWOx91/MnRtis+y2rGvGQ890ors/nDKt2mpt0LsWlaO983w0QOx+4dS0XRti7/cky3ZrqCrJ6B5Rptl3XNVPlF8YlDQWGwR6B0fxqX9+btrODbdf24QHprYYsurYrUYnD/7Re2God9Y5dfeH8dAznWi7rglXL5mLpdWl07Kdkt14ziQtO9O1J9x3jii/cPpOc2YQMJRKOsIwF2Kn6titRicjYxP42Yun46rCXhgZw6ULyvDbl9fYrvqaSaVYq62VZjKyIiL/4UgpR1iNMJRK37FbvTcYCOArG9+F+x5/Gbdf24RgAGhdOg/XNFVnbWos0wWvOq3q547VRNnHxbM5Itm9lW23tKBubgjzSotTdpCGofCzw2/FrSX68oblGBmPYFltOeaXF2N8wkB/eBxL55U6UhzQKXbvKWU7YPDeFjmMi2ctuB6URGQJgO8DWAjAALBTKXV/qvfoGpTSdYSpnjefO9MfRnFBAIOjYygvLoIBherSYjRUlaDrwkjcew1D4Wh3P7r7w1hUGUJBQHBuaBRzigrQOziK2opiFBUEcKZ/FCVFQZQXFyCiVHQj1rLiAnT0DWN4NIKACP7+P1+LdrBfvekK1JYXYyA8geqyIkxEDCyqLJkWoDLp/GNfW1MeQjAAdPdnFjTiajwVF6C2PH5nCvP5Y90DOH52EA+3n8KFkTF8/aNXYnXD3LS7WNj997S7E0XsMUqKCjAWiaA6zZcGyksMSha8mL6bAPA/lVIHRaQcwAsi8qRS6mUP2jJj6b45p3oewLTnzBpIm1sbsKu9C5/5YDMeeOp4tFbRN//gaoyMRvDF3YejmXg/fn7y9bHZclvXN0crz955/eVYUFaMLz9yJK6UeWHQwN/9/LW45IF7Hn0Jbdc1ResvbVnXjP/16Eu4a8MKW9eU2OFa1Wcy22ZnlGF1voZ5pZbPmxmJdz9yBG3XNWH5wgpbo5l012Yna9CqPbvau+I+RyKy5nqig1KqWyl1cOrPgwCOAahzux2zlWq9jWEoHDn9Nl45M4A/XtuERZWhuOeTvXfHvuPY2FIX/f0vHnsJG1vqos8fPtUf3SzVrKFkvj6xBtLNq+sRHjew/cnX8EbfcNzzf/X4UdRWzLEsU5HYntg1RJmsMbKqz2S2zc7OFOnOZ/U5mucwFGzvgJHuXHZqKqX6d2UdICJ7PE10EJFGAFcDeDbJc20A2gCgoaHB3YbZYPXN+fzw6LT96mLXE50dDEOp5LsgmLWRYn83GTHvSXxdsuOYf05cZxoeN1ARKrBMmkjWHnM0kMkaI6vXxrYt3c7g6c6X6hzm9djdgTzduezs2ZeqPXbbQQTE93+AvZIPuWBx/ZK0r/EsKIlIGYDdAD6nlBpIfF4ptRPATmDynpLLzUvLKiusMBhI+m359mub8N1fnox+s06VSRf7uyko8e+JTam2Ci5mPaRYocIAwhPGtEWy5tRasvaYbc4kEy5VtmCq99k5Rrr2BATRLwJ2M/XSnctO1mC6DMm8qwNEMxbb/7l5Tynmno9nPFmnJCKFmAxI/6KU+qkXbZgtq/U2I2ORpN+WgwFEv1kne++Wdc14/PDp6O/3blyJxw+fjj5fXVqEz3/ocoQKA9EaSolrjMzg8tODpxAqDODO6y/HJdWlcc/f++GVeGDf8Whp87tvXI5v3fZulBYFcWFkbFp7YkcDmawxSvba2LbZ2Rk83fmSPX/fR65AWVEQDz3zzr0rOzuQ27m2dOuxUv27cid0Inu8yL4TAA8COK+U+pyd9+iefRf7zbmjbzhpltautjW4sm5uNGFg36s9OHyqHyVFBXjXonKMThioKinChYtjOHKqH7945Sw+sLwGl9eWY3ltOTrOD+O+x1/Gre9egpryYiyZNwfFBUEMjY4jVDiVfVdejKLCd7LvyooLoKAQMYDzw2OoLS/G2+ExfPqhg3FTUB9aVoPXegdxYWQc4bEI5pYUYnQikjL7zs4ao9jXLiibzL47M5BZXZx050t83sxanEn9HSdq98Rn3wUxHjHSpuxTXtIy+87FkZJWKeHXAtgP4AgmU8IB4G6l1BNW79E1KCVjJ0MtVXqxGdgSO0bDUOg6P4yDXW/j7phsukzXyvi4aBpRLmFQsuD6PSWl1C+RwT9IrrFz78HOTXXzdQDeCUwK0YBkvifTfeBmWzSNuxoQUTZxm6EsSNfxmyUozMy43S9MLvhcUBZKOdLKdIdtp3FXAyLKNgYllxmGwsvdg9j59Mm4zLeaimL0DoahlLLcFTtVhpgbIxju2E1E2cZdwl1mtai0++0w/vB7z+PlMwOWoyGrDLGGqhLsOXoGN+7Yb6vo30yL5nHHbiLKNo6UXJasY68qKcLS6lL88domBESwtHoOOvsuRp9fWj0HcwqDePaNPiyrLceerWvjstgyGcHMZgpOpx27icifGJRcltixL6oM4ZPvX4ov/OTFaJD4649cEd33bmn1HNyxrhmbdz5jGUR6BsKoKinCzavrozsm7H7hVNJ7TbOZgrOzqwER0WwwKLkssWO/tbU+WuIcmAwSf/HYS9jVtgYXxyOYUxiMBiTz+cQgYga22FLpW9c3Y2HF9BGM1RRcz0D6ZIlMayEREWWKQckDRQWCtuuaYCigbm7yzVEvjkewpmk+Drx+Lm3GXcTAtMB2/97juOFdC6ed22oKbjyiYBgqbYCZbUo5EVEqDEoOi6v/U1SA2or4+j8dfcP47A9/Ew0Kn113WdIgMacgiOc7+lAYDETTx3e/cArd/WGECgMQCE72DqGxuhRnB5OPfnqHwri0Jj54NFaXYtstLbhrqgTGra31WFJVgpff6kfDvDlonD/zYJNra5hyrb1E+YBByUFWNYSaa8uwblktgMmgFBtAdr9wCp//0OX44XOd2NhSh2AAuKp+Lh74xWtYtaQ6btNUszbPx97TgM/tOhTd221ZbbntBIRAQLB4bghb1zejYk4h7nv85ejxaypCGRXFS3ftOq9hyrX2EuULpoTPgpla/XxHH1588wL+67WzePXMAKpKigC8M412+FQ/3jg3jD1Hz+DFN9+Oq8vT3R9GaVEAbdddiu/+8iR27D2Bz/zwIH572ULsau+attv4F25Yju8fmCyDYd5fMjd7tbNRKgBUlxbj4ngkGpDM49/9yJEZ1/zJpNaSDnKtvUT5giOlGTK/aW/bc2xa9dfY+klmTaOu85OdYFVJ0bSyEQ3VpWh76IW4DvK+x1/G7dc24YGnTkTPGR438ErPILr7w3GPnRkIZ5SA0Fhdistryh3dHcLr3SYylWvtpTwm4lo9JTv1jrKNQWmGzG/at1/bNK36q1k/6YGnTkTr+5QUFSA8bqC7PxwtGyECrL1sPoZHJyzLXcSyqo9UUx7KKAEhEBCsWFTh2Jojw1AoKQomvfel6xomrrminKEUZrMhqw41kjLB6bsZMr9pp6r+at5TaqmvRG1FcXR6rbs/jAeeOoHv7D+JBeXFWBpT88gUKgxg+cKKuCm5O6+/HNUlRban6VK5ZL792kipmCPGzTufwY69k9d025qlWFo9R+s1TJnUhiIi93CkNEPmN20gefXX9zfNw9rL5kez74DJ+z7b9hyLJjS8Z+k8NFSVIBCQaYtSt93SgsWVxdjVtgYjYxHUlE/WIzo3NBp9bDYZY06tOUp2b2bHvuNx9aN0xDVXRHpiUJoh85v2tj3Hpt0j2r5pFd7fNH9aB3fDilqMRwzctfvwtIwvux3kbFK2Ezmx5sjq3szF8Yj2HTzXXBHph0FphqLftBeW4/xw/Oiloaok6fqXrgsj0YC0qDKEm1fX45UzA6ivmoOKUEFOrpfhvRkichKD0iwk+6Ztpx7SosoQbluzNDq62vn0SWxd34zvH+iMrj3KlfUy3A+PiJzERAeHpVr/Yo4qbl5dPy1j7/69x3Hz6vqcWy9jjhif2LIWP257H57YsjZnAqqOZlpWhMgvOFJyWKr1L+9trMb2TavwikXNJHOH71xbL8N7M87gLhNEHCk5LjYrzxS7lmjDyoVYv7w26WvMpQR278nwW7W/cJcJIgYlx6Vb/xIICK6sq5z2mq3rm/HTg6ds35Mxv1XbrTZL+mNlXyJO3znOzvqXxNcsKJtcg3R1w1zb62VmU6yP9MRMRiIGpaywc48l2WsyWYPkxt5tLO3gLmYyEvk0KM22M7Xzfi87bDf2muNNd/dxlwkiHwal2Xamdt7vZYed7NxmnaW7Nqxw7Fs1pwe9wUxGyne+S3SYbQaTnfd7mSVltdfcjo9d7WhQ5E13IvKC70ZKs73XYuf9XtbicWuvOd50J9JDYWHhrOop6VAjKRO+GymlWifk1Ptne47ZcOvcLO1ApIeWlhYopWb86/SbXV5fQkZ8F5Rm25naeb+XHbZb5+b2QUTkBcmFioStra2qvb3d9uvNzLiZZjDZef9szzEbXp6biBxh+z9spv1fjrC8ft/dUwJmn8E003VGbmGGFhH5le+m74iIKHcxKBERkTYYlIiISBsMSkREpA0GJSIi0gaDEhERaYNBiYiItMGgRERE2mBQIiIibeTENkMi0gug0+t2ZMl8AOe8boRLeK3+xGvN3Dml1AY7LxSRPXZf6wc5EZT8TETalVKtXrfDDbxWf+K1kpM4fUdERNpgUCIiIm0wKHlvp9cNcBGv1Z94reQY3lMiIiJtcKRERETaYFAiIiJtMCi5SET+SUTOishLMY/NE5EnReT41O9VXrbRCSKyRESeEpFjInJURLZOPe7Haw2JyHMi8uLUtf7V1OO+u1aTiARF5Dci8vjU3315rSLSISJHROSQiLRPPebLa9UJg5K7vgcgcRHclwDsVUo1A9g79fdcNwHgfyqlVgBYA+AzIvIu+PNaRwGsU0pdBWAVgA0isgb+vFbTVgDHYv7u52v9oFJqVczaJD9fqxYYlFyklHoawPmEhz8C4MGpPz8I4CY325QNSqlupdTBqT8PYrIDq4M/r1UppYam/lo49UvBh9cKACJSD+B3AXwn5mFfXquFfLpWTzAoea9WKdUNTHbmAGo8bo+jRKQRwNUAnoVPr3VqOusQgLMAnlRK+fZaAfwDgC8CMGIe8+u1KgA/F5EXRKRt6jG/Xqs2CrxuAPmXiJQB2A3gc0qpARHxuklZoZSKAFglInMBPCIiV3jcpKwQkY0AziqlXhCRD3jcHDf8llLqLRGpAfCkiLzidYPyAUdK3usRkUUAMPX7WY/b4wgRKcRkQPoXpdRPpx725bWalFJvA/gFJu8b+vFafwvA74lIB4AfA1gnIj+AP68VSqm3pn4/C+ARAO+FT69VJwxK3vs3AJ+a+vOnADzmYVscIZNDou8COKaU2h7zlB+vdcHUCAkiMgfAhwC8Ah9eq1Lqy0qpeqVUI4CPAdinlPoEfHitIlIqIuXmnwHcAOAl+PBadcMdHVwkIj8C8AFMbn/fA+BeAI8CeBhAA4AuALcqpRKTIXKKiFwLYD+AI3jn3sPdmLyv5LdrbcHkDe8gJr/kPayU+msRqYbPrjXW1PTdnyulNvrxWkWkCZOjI2DyNscPlVJf8+O16oZBiYiItMHpOyIi0gaDEhERaYNBiYiItMGgRERE2mBQIiIibTAoERGRNhiUKGeJyFwR+bM0r2kUkT+wcazG2JIiSZ7/QxH5psVzv048hoh8wCztQET2MShRLpsLIGVQAtAIIG1Qmg2l1DXZPD5RPmFQolz2NwAunSrC9n+mfr00VZhtc8xr1k695vNTo5n9InJw6lcmAWWJiOwRkVdF5F7zQREZSvUmIrKPu4RTLvsSgCuUUqtE5BYAfwLgKkxu4/S8iDw99Zo/V0ptBAARKQFwvVIqLCLNAH4EoDX54ad5L4ArAIxMHf/flVLtzl4SUX5jUCK/uBbAj6bKSPSIyH8BeA+AgYTXFQL4poisAhABcHkG53hSKdUHACLy06lzMigROYhBifzCbrGmz2NyM9yrMDl9Hc7gHIkbRXLjSCKH8Z4S5bJBAOVTf34awOapKrALAFwH4LmE1wBAJYBupZQB4DZM7u5t1/UiMm+qRMVNAH41y/YTUQKOlChnKaX6RORXU2nY/wHgMIAXMTmC+aJS6oyI9AGYEJEXAXwPwP8FsFtEbgXwFIDhDE75SwAPAbgMk6UMOHVH5DCWriAiIm1w+o6IiLTB6TuiGCLy3wBsS3j4DaXUR71oD1G+4fQdERFpg9N3RESkDQYlIiLSBoMSERFpg0GJiIi08f8BVSKvp6oMUIEAAAAASUVORK5CYII=\n", "text/plain": [ "<Figure size 432x432 with 3 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# 'scatter'\n", "\n", "sns.jointplot(x='total_bill',y='tip',data=tips,kind='scatter')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.JointGrid at 0x1bfbd546670>" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 432x432 with 3 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# 'hex'\n", "\n", "sns.jointplot(x='total_bill',y='tip',data=tips,kind='hex')" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.JointGrid at 0x1bfbeacc8b0>" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 432x432 with 3 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# 'reg'\n", "\n", "sns.jointplot(x='total_bill',y='tip',data=tips,kind='reg')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 3 `pairplot()`\n", "\n", "`pairplot()` will plot pairwise relationships across an entire dataframe (for the numerical columns) and supports a color hue argument (for categorical columns)." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.PairGrid at 0x1bfbe8d2640>" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 540x540 with 12 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.pairplot(tips)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<seaborn.axisgrid.PairGrid at 0x1bfbf65d610>" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "<Figure size 612.125x540 with 12 Axes>" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.pairplot(tips,hue='sex',palette='coolwarm')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4 `rugplot()`\n", "\n", "`rugplots()` are actually a very simple concept, they just draw a dash mark for every point on a univariate distribution. They are the building block of a KDE plot:" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='total_bill'>" ] }, "execution_count": 17, "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" } ], "source": [ "sns.rugplot(tips['total_bill'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 5 `kdeplot()`\n", "\n", "`kdeplots()` are **[Kernel Density Estimation plots](http://en.wikipedia.org/wiki/Kernel_density_estimation#Practical_estimation_of_the_bandwidth)**. These KDE plots replace every single observation with a Gaussian (Normal) distribution centered around that value. For example:" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.0, 1.0)" ] }, "execution_count": 18, "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" } ], "source": [ "# Don't worry about understanding this code!\n", "# It's just for the diagram below\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from scipy import stats\n", "\n", "#Create dataset\n", "dataset = np.random.randn(25)\n", "\n", "# Create another rugplot\n", "sns.rugplot(dataset);\n", "\n", "# Set up the x-axis for the plot\n", "x_min = dataset.min() - 2\n", "x_max = dataset.max() + 2\n", "\n", "# 100 equally spaced points from x_min to x_max\n", "x_axis = np.linspace(x_min,x_max,100)\n", "\n", "# Set up the bandwidth, for info on this:\n", "url = 'http://en.wikipedia.org/wiki/Kernel_density_estimation#Practical_estimation_of_the_bandwidth'\n", "\n", "bandwidth = ((4*dataset.std()**5)/(3*len(dataset)))**.2\n", "\n", "\n", "# Create an empty kernel list\n", "kernel_list = []\n", "\n", "# Plot each basis function\n", "for data_point in dataset:\n", " \n", " # Create a kernel for each point and append to list\n", " kernel = stats.norm(data_point,bandwidth).pdf(x_axis)\n", " kernel_list.append(kernel)\n", " \n", " #Scale for plotting\n", " kernel = kernel / kernel.max()\n", " kernel = kernel * .4\n", " plt.plot(x_axis,kernel,color = 'grey',alpha=0.5)\n", "\n", "plt.ylim(0,1)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0.98, 'Sum of the Basis Functions')" ] }, "execution_count": 19, "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" } ], "source": [ "# To get the kde plot we can sum these basis functions.\n", "\n", "# Plot the sum of the basis function\n", "sum_of_kde = np.sum(kernel_list,axis=0)\n", "\n", "# Plot figure\n", "fig = plt.plot(x_axis,sum_of_kde,color='indianred')\n", "\n", "# Add the initial rugplot\n", "sns.rugplot(dataset,c = 'indianred')\n", "\n", "# Get rid of y-tick marks\n", "plt.yticks([])\n", "\n", "# Set title\n", "plt.suptitle(\"Sum of the Basis Functions\")" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='total_bill', ylabel='Density'>" ] }, "execution_count": 20, "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" } ], "source": [ "sns.kdeplot(tips['total_bill'])\n", "sns.rugplot(tips['total_bill'])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "<AxesSubplot:xlabel='tip', ylabel='Density'>" ] }, "execution_count": 21, "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" } ], "source": [ "sns.kdeplot(tips['tip'])\n", "sns.rugplot(tips['tip'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alright! Since we've finished with Distribution Plots in our next lecture where we shall be discussing few other plots which deal quite heavily with **[Categorical Data Plots](https://github.com/milaan9/12_Python_Seaborn_Module/blob/main/009_Seaborn_Categorical_Swarm_Plot.ipynb)**, that is commonly seen across." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "hide_input": false, "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": "3.8.8" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 2 }