Visualize Data Distribution.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as pp\n",
    "import matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "iris_PATH = 'C:\\\\Users\\\\User\\\\Downloads\\\\iris.data'\n",
    "iris_data = pd.read_csv(iris_PATH ,header = None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Heat map in Visualize array data\n",
    "\n",
    "numpy = เฉพาะค่าที่เป็นตัวเลข"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5.1, 3.5, 1.4, 0.2],\n",
       "       [4.9, 3. , 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.3, 0.2],\n",
       "       [4.6, 3.1, 1.5, 0.2],\n",
       "       [5. , 3.6, 1.4, 0.2],\n",
       "       [5.4, 3.9, 1.7, 0.4],\n",
       "       [4.6, 3.4, 1.4, 0.3],\n",
       "       [5. , 3.4, 1.5, 0.2],\n",
       "       [4.4, 2.9, 1.4, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.1],\n",
       "       [5.4, 3.7, 1.5, 0.2],\n",
       "       [4.8, 3.4, 1.6, 0.2],\n",
       "       [4.8, 3. , 1.4, 0.1],\n",
       "       [4.3, 3. , 1.1, 0.1],\n",
       "       [5.8, 4. , 1.2, 0.2],\n",
       "       [5.7, 4.4, 1.5, 0.4],\n",
       "       [5.4, 3.9, 1.3, 0.4],\n",
       "       [5.1, 3.5, 1.4, 0.3],\n",
       "       [5.7, 3.8, 1.7, 0.3],\n",
       "       [5.1, 3.8, 1.5, 0.3],\n",
       "       [5.4, 3.4, 1.7, 0.2],\n",
       "       [5.1, 3.7, 1.5, 0.4],\n",
       "       [4.6, 3.6, 1. , 0.2],\n",
       "       [5.1, 3.3, 1.7, 0.5],\n",
       "       [4.8, 3.4, 1.9, 0.2],\n",
       "       [5. , 3. , 1.6, 0.2],\n",
       "       [5. , 3.4, 1.6, 0.4],\n",
       "       [5.2, 3.5, 1.5, 0.2],\n",
       "       [5.2, 3.4, 1.4, 0.2],\n",
       "       [4.7, 3.2, 1.6, 0.2],\n",
       "       [4.8, 3.1, 1.6, 0.2],\n",
       "       [5.4, 3.4, 1.5, 0.4],\n",
       "       [5.2, 4.1, 1.5, 0.1],\n",
       "       [5.5, 4.2, 1.4, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.1],\n",
       "       [5. , 3.2, 1.2, 0.2],\n",
       "       [5.5, 3.5, 1.3, 0.2],\n",
       "       [4.9, 3.1, 1.5, 0.1],\n",
       "       [4.4, 3. , 1.3, 0.2],\n",
       "       [5.1, 3.4, 1.5, 0.2],\n",
       "       [5. , 3.5, 1.3, 0.3],\n",
       "       [4.5, 2.3, 1.3, 0.3],\n",
       "       [4.4, 3.2, 1.3, 0.2],\n",
       "       [5. , 3.5, 1.6, 0.6],\n",
       "       [5.1, 3.8, 1.9, 0.4],\n",
       "       [4.8, 3. , 1.4, 0.3],\n",
       "       [5.1, 3.8, 1.6, 0.2],\n",
       "       [4.6, 3.2, 1.4, 0.2],\n",
       "       [5.3, 3.7, 1.5, 0.2],\n",
       "       [5. , 3.3, 1.4, 0.2],\n",
       "       [7. , 3.2, 4.7, 1.4],\n",
       "       [6.4, 3.2, 4.5, 1.5],\n",
       "       [6.9, 3.1, 4.9, 1.5],\n",
       "       [5.5, 2.3, 4. , 1.3],\n",
       "       [6.5, 2.8, 4.6, 1.5],\n",
       "       [5.7, 2.8, 4.5, 1.3],\n",
       "       [6.3, 3.3, 4.7, 1.6],\n",
       "       [4.9, 2.4, 3.3, 1. ],\n",
       "       [6.6, 2.9, 4.6, 1.3],\n",
       "       [5.2, 2.7, 3.9, 1.4],\n",
       "       [5. , 2. , 3.5, 1. ],\n",
       "       [5.9, 3. , 4.2, 1.5],\n",
       "       [6. , 2.2, 4. , 1. ],\n",
       "       [6.1, 2.9, 4.7, 1.4],\n",
       "       [5.6, 2.9, 3.6, 1.3],\n",
       "       [6.7, 3.1, 4.4, 1.4],\n",
       "       [5.6, 3. , 4.5, 1.5],\n",
       "       [5.8, 2.7, 4.1, 1. ],\n",
       "       [6.2, 2.2, 4.5, 1.5],\n",
       "       [5.6, 2.5, 3.9, 1.1],\n",
       "       [5.9, 3.2, 4.8, 1.8],\n",
       "       [6.1, 2.8, 4. , 1.3],\n",
       "       [6.3, 2.5, 4.9, 1.5],\n",
       "       [6.1, 2.8, 4.7, 1.2],\n",
       "       [6.4, 2.9, 4.3, 1.3],\n",
       "       [6.6, 3. , 4.4, 1.4],\n",
       "       [6.8, 2.8, 4.8, 1.4],\n",
       "       [6.7, 3. , 5. , 1.7],\n",
       "       [6. , 2.9, 4.5, 1.5],\n",
       "       [5.7, 2.6, 3.5, 1. ],\n",
       "       [5.5, 2.4, 3.8, 1.1],\n",
       "       [5.5, 2.4, 3.7, 1. ],\n",
       "       [5.8, 2.7, 3.9, 1.2],\n",
       "       [6. , 2.7, 5.1, 1.6],\n",
       "       [5.4, 3. , 4.5, 1.5],\n",
       "       [6. , 3.4, 4.5, 1.6],\n",
       "       [6.7, 3.1, 4.7, 1.5],\n",
       "       [6.3, 2.3, 4.4, 1.3],\n",
       "       [5.6, 3. , 4.1, 1.3],\n",
       "       [5.5, 2.5, 4. , 1.3],\n",
       "       [5.5, 2.6, 4.4, 1.2],\n",
       "       [6.1, 3. , 4.6, 1.4],\n",
       "       [5.8, 2.6, 4. , 1.2],\n",
       "       [5. , 2.3, 3.3, 1. ],\n",
       "       [5.6, 2.7, 4.2, 1.3],\n",
       "       [5.7, 3. , 4.2, 1.2],\n",
       "       [5.7, 2.9, 4.2, 1.3],\n",
       "       [6.2, 2.9, 4.3, 1.3],\n",
       "       [5.1, 2.5, 3. , 1.1],\n",
       "       [5.7, 2.8, 4.1, 1.3],\n",
       "       [6.3, 3.3, 6. , 2.5],\n",
       "       [5.8, 2.7, 5.1, 1.9],\n",
       "       [7.1, 3. , 5.9, 2.1],\n",
       "       [6.3, 2.9, 5.6, 1.8],\n",
       "       [6.5, 3. , 5.8, 2.2],\n",
       "       [7.6, 3. , 6.6, 2.1],\n",
       "       [4.9, 2.5, 4.5, 1.7],\n",
       "       [7.3, 2.9, 6.3, 1.8],\n",
       "       [6.7, 2.5, 5.8, 1.8],\n",
       "       [7.2, 3.6, 6.1, 2.5],\n",
       "       [6.5, 3.2, 5.1, 2. ],\n",
       "       [6.4, 2.7, 5.3, 1.9],\n",
       "       [6.8, 3. , 5.5, 2.1],\n",
       "       [5.7, 2.5, 5. , 2. ],\n",
       "       [5.8, 2.8, 5.1, 2.4],\n",
       "       [6.4, 3.2, 5.3, 2.3],\n",
       "       [6.5, 3. , 5.5, 1.8],\n",
       "       [7.7, 3.8, 6.7, 2.2],\n",
       "       [7.7, 2.6, 6.9, 2.3],\n",
       "       [6. , 2.2, 5. , 1.5],\n",
       "       [6.9, 3.2, 5.7, 2.3],\n",
       "       [5.6, 2.8, 4.9, 2. ],\n",
       "       [7.7, 2.8, 6.7, 2. ],\n",
       "       [6.3, 2.7, 4.9, 1.8],\n",
       "       [6.7, 3.3, 5.7, 2.1],\n",
       "       [7.2, 3.2, 6. , 1.8],\n",
       "       [6.2, 2.8, 4.8, 1.8],\n",
       "       [6.1, 3. , 4.9, 1.8],\n",
       "       [6.4, 2.8, 5.6, 2.1],\n",
       "       [7.2, 3. , 5.8, 1.6],\n",
       "       [7.4, 2.8, 6.1, 1.9],\n",
       "       [7.9, 3.8, 6.4, 2. ],\n",
       "       [6.4, 2.8, 5.6, 2.2],\n",
       "       [6.3, 2.8, 5.1, 1.5],\n",
       "       [6.1, 2.6, 5.6, 1.4],\n",
       "       [7.7, 3. , 6.1, 2.3],\n",
       "       [6.3, 3.4, 5.6, 2.4],\n",
       "       [6.4, 3.1, 5.5, 1.8],\n",
       "       [6. , 3. , 4.8, 1.8],\n",
       "       [6.9, 3.1, 5.4, 2.1],\n",
       "       [6.7, 3.1, 5.6, 2.4],\n",
       "       [6.9, 3.1, 5.1, 2.3],\n",
       "       [5.8, 2.7, 5.1, 1.9],\n",
       "       [6.8, 3.2, 5.9, 2.3],\n",
       "       [6.7, 3.3, 5.7, 2.5],\n",
       "       [6.7, 3. , 5.2, 2.3],\n",
       "       [6.3, 2.5, 5. , 1.9],\n",
       "       [6.5, 3. , 5.2, 2. ],\n",
       "       [6.2, 3.4, 5.4, 2.3],\n",
       "       [5.9, 3. , 5.1, 1.8]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_np = iris_data.iloc[:,:-1].to_numpy()\n",
    "data_np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_np_onlySeto = iris_data.iloc[:50,:-1].to_numpy()\n",
    "data_np_onlyversi = iris_data.iloc[50:100,:-1].to_numpy()\n",
    "data_np_onlyvirgi = iris_data.iloc[100:,:-1].to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = [10,10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.subplot(1,3,1)\n",
    "pp.imshow(data_np_onlySeto,interpolation = 'nearest')\n",
    "pp.subplot(1,3,2)\n",
    "pp.imshow(data_np_onlyversi,interpolation = 'nearest')\n",
    "pp.subplot(1,3,3)\n",
    "pp.imshow(data_np_onlyvirgi,interpolation = 'nearest')\n",
    "pp.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. scatter plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "Seto_np = iris_data.iloc[:50,:-3].to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5.1, 3.5],\n",
       "       [4.9, 3. ],\n",
       "       [4.7, 3.2],\n",
       "       [4.6, 3.1],\n",
       "       [5. , 3.6],\n",
       "       [5.4, 3.9],\n",
       "       [4.6, 3.4],\n",
       "       [5. , 3.4],\n",
       "       [4.4, 2.9],\n",
       "       [4.9, 3.1],\n",
       "       [5.4, 3.7],\n",
       "       [4.8, 3.4],\n",
       "       [4.8, 3. ],\n",
       "       [4.3, 3. ],\n",
       "       [5.8, 4. ],\n",
       "       [5.7, 4.4],\n",
       "       [5.4, 3.9],\n",
       "       [5.1, 3.5],\n",
       "       [5.7, 3.8],\n",
       "       [5.1, 3.8],\n",
       "       [5.4, 3.4],\n",
       "       [5.1, 3.7],\n",
       "       [4.6, 3.6],\n",
       "       [5.1, 3.3],\n",
       "       [4.8, 3.4],\n",
       "       [5. , 3. ],\n",
       "       [5. , 3.4],\n",
       "       [5.2, 3.5],\n",
       "       [5.2, 3.4],\n",
       "       [4.7, 3.2],\n",
       "       [4.8, 3.1],\n",
       "       [5.4, 3.4],\n",
       "       [5.2, 4.1],\n",
       "       [5.5, 4.2],\n",
       "       [4.9, 3.1],\n",
       "       [5. , 3.2],\n",
       "       [5.5, 3.5],\n",
       "       [4.9, 3.1],\n",
       "       [4.4, 3. ],\n",
       "       [5.1, 3.4],\n",
       "       [5. , 3.5],\n",
       "       [4.5, 2.3],\n",
       "       [4.4, 3.2],\n",
       "       [5. , 3.5],\n",
       "       [5.1, 3.8],\n",
       "       [4.8, 3. ],\n",
       "       [5.1, 3.8],\n",
       "       [4.6, 3.2],\n",
       "       [5.3, 3.7],\n",
       "       [5. , 3.3]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Seto_np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f46c889088>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = [5,5]\n",
    "pp.scatter(Seto_np[:,0],Seto_np[:,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## บอกขนาดมี 2 แบบและใส่โค้ดสี(c,m,y,k,r,g,b)or(hex code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f46cb6a448>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=15, c= 'k')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f46c5287c8>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Seto_np2 = iris_data.iloc[:50,:-1].to_numpy()\n",
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=10*Seto_np2[:,-2], c= '#990099')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](colors-3.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max = 0.6,min = 0.1\n"
     ]
    }
   ],
   "source": [
    "print(f'max = {max(Seto_np2[:,3])},min = {min(Seto_np2[:,3])}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ues loop add color in parameter c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['g',\n",
       " 'g',\n",
       " 'g',\n",
       " 'g',\n",
       " 'g',\n",
       " 'y',\n",
       " 'y',\n",
       " 'g',\n",
       " 'g',\n",
       " 'b',\n",
       " 'g',\n",
       " 'g',\n",
       " 'b',\n",
       " 'b',\n",
       " 'g',\n",
       " 'y',\n",
       " 'y',\n",
       " 'y',\n",
       " 'y',\n",
       " 'y',\n",
       " 'g',\n",
       " 'y',\n",
       " 'g',\n",
       " 'r',\n",
       " 'g',\n",
       " 'g',\n",
       " 'y',\n",
       " 'g',\n",
       " 'g',\n",
       " 'g',\n",
       " 'g',\n",
       " 'y',\n",
       " 'b',\n",
       " 'g',\n",
       " 'b',\n",
       " 'g',\n",
       " 'g',\n",
       " 'b',\n",
       " 'g',\n",
       " 'g',\n",
       " 'y',\n",
       " 'y',\n",
       " 'g',\n",
       " 'r',\n",
       " 'y',\n",
       " 'y',\n",
       " 'g',\n",
       " 'g',\n",
       " 'g',\n",
       " 'g']"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "color = []\n",
    "for i in Seto_np2[:,3]:\n",
    "    if i<0.15:\n",
    "        color.append('b')\n",
    "    elif i<0.3:\n",
    "        color.append('g')\n",
    "    elif i<0.45:\n",
    "        color.append('y')        \n",
    "    else:\n",
    "        color.append('r')\n",
    "color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f46e9321c8>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=30, c = color)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f46bc82c48>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAATwAAAExCAYAAADhmx7YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy8QZhcZAAAgAElEQVR4nO3deXxV9Z3/8dfnLtkJhCQghB1EVEDUuKJU0bpS69Zq1VpbO9b2V3XambHT5dfp2Jnp4kxr9/6stlqtW9XWZVzqggIqSpBFZSsCskMgCdmTu3x/fyQiyU3gBG7uSXLez8eDB+Gcc899Z+Gdc+653/M15xwiIkEQ8juAiEimqPBEJDBUeCISGCo8EQkMFZ6IBIYKT0QCw3PhmVnYzJaY2dNdrLvOzCrNbGn7ny+mN6aIyKGL9GDbW4CVQGE36x92zn310COJiPQOT4VnZqOAC4H/BL6ejicuKSlx48aNS8euRET2Wrx48S7nXGlX67we4d0B3AoM2s82l5nZLGAN8DXn3Kb97XDcuHFUVFR4fHoREW/M7IPu1h3wNTwzmwPsdM4t3s9mTwHjnHPTgReBe7vZ1w1mVmFmFZWVlQd6ahGRtPJy0WImcJGZbQAeAmab2f37buCc2+2ca2n/5++A47vakXPuTudcuXOuvLS0yyNOEZFec8DCc8590zk3yjk3DrgSeNk5d82+25jZiH3+eRFtFzdERPqUnlyl7cDMbgMqnHNPAjeb2UVAHKgCrktPPBGR9DG/bg9VXl7udNFCRNLNzBY758q7WqeRFiISGCo8EQkMFZ6IBMZBX7QQEenMtS7FNd4DiSrIuQDLuwyzqN+x9lLhiUhaJJuehz23As2Ag/gyXMtzUPQHzMzveIBOaUUkDZxzUPd9oAlof+eHa4LYEoi97We0DlR4IpIGLZDclbrYJSG+KvNxuqHCE5E0yIbQkNTFFobwpMzH6YYKT0QOmZlBwTeAnH2W5kDkCMg60a9YKXTRQkTSIpR3CS48DNdwNySrIed8LP/aPnPBAlR4IpJGlj0Ty57pd4xu6ZRWRAJDhScigaHCE5HAUOGJSGCo8EQkMFR4IhIYKjwRCQwVnogEhgpPRAJDhScigaHCE5HAUOGJSGCo8EQkMFR4IhIYKjwRCQzdD09kgGiJb6e66XUi4UKG5s4iZFl+R+pzVHgiA8Dm2j+yvvp2IIxhhCyXY0c8SG50rN/R+hSd0or0c83xLayvvp2kayHpGkm4BmLJKlbt+obf0focFZ5IP1fVNB/oPG9EktqWpSRdqx+R+iwVnkg/F7ECjHDKciPS5fIgU+GJ9HPFeWdh1vHl+BA5HFZwGWYqvH2p8ET6uXAolxmH/Yn86BSMMEYWwwouYlLxt/2O1ufoKq3IAJCfNZnysieJJ+sJWZbektINFZ7IABIJFfgdoU/TKa2IBIYKT0QCQ4UnIoGh1/Ak0GLJRlbW/JlN9fPIiwxn6tCrKc052u9Y0ktUeBJYSRfnmU1foi62iYRrhZZVbGlcyJkj/ouy/JP9jie9QKe0ElibGhZQH9vaVnYAOBKumbcqf+ZrLuk9KjwJrJqW9cRdc8ryutgWH9JIJqjwJLCKsicQsZyU5YXRMh/SSCao8CSwRuXPZFDWKMKW3b7ECFs2J5Z+zddc0nt00UICK2QRLhj1/1hV8ygbG+aTHxnG1KKrKc6Z4nc06SUqPAm0SCiHqUOvYerQa/yOIhmgU1oRCQwVnogEhgpPRALDc+GZWdjMlpjZ012syzazh81srZm9aWbj0hlSRIKlOVFPLNmS9v325KLFLcBKoLCLddcD1c65SWZ2JfAj4Io05BORANndspXHN93OjuYNmBmTB53IJ8tuISucm5b9ezrCM7NRwIXAXd1s8kng3vaPHwXOMrPO0yiJiHQr4eLcu/6bbGteR5IECRdnTd0i/rrljrQ9h9dT2juAW4FkN+vLgE0Azrk4sAcoPuR0IhIY6+uX05psBtzeZQkX4+91i2hJNKblOQ5YeGY2B9jpnFu8v826WOZSNjK7wcwqzKyisrKyBzFFZKBrTTZ1uy7m0vN6npcjvJnARWa2AXgImG1m93faZjMwGsDa5osbDFR13pFz7k7nXLlzrry0tPSQgovIwDI+fzpJl0hZXpQ1goJIUVqe44CF55z7pnNulHNuHHAl8LJzrvPb0p8EPtf+8eXt26Qc4YmIdCc3MoiLym4mYllkhXLJCuWSGx7E5aNvTdtzHPTQMjO7Dahwzj0J3A3cZ2ZraTuyuzJN+UQkQKYOmcWEghm8X7+ErFA2EwuOJxKKpm3/5teBWHl5uauoqPDluUVk4DKzxc658q7WaaSFiASGCk9EAkOFJyKBofvhifQB1a1VPL31CZoTzZw1/ONMKJjkd6QBSYUn4rM3di3gDxt+t/ffi6oXcvLQU/nChC/5mGpg0imtiI+SyST3brg7ZfnCqtfZ1rTNh0QDmwpPxEebmzaR7GaI+vzKuRlOM/Cp8ER8VBjt6m5rbYZkpWc4lXxEhSfioyFZRQzNSr2xUIgQs4d93IdEA5sKT8Rn3znqNoZnH7b333nhPG6d8m0iIV1TTDd9RUV8VhAp4PvTfkQ8GSfh4mSHc/yONGCp8ET6iEgoQkT/JXuVTmlFJDBUeCISGCo8EQkMvWAg/VYikeA77/6ad/asBRwT80fxwxn/SG44y+9ogVVRtYLHNr1EbbyB00uO5eJRZ5LTh74fugGo9FvXvPFtqmN1HZZlh7J4/LT/9ilRsP1t+0J+u/ZRWpKtAGRZlHEFI/nJjK+TyVlbdQNQGXDW129JKTuAlmQrr1Uu9SFRsDnn+MO6J/aWHUCri7GxYTvLa/7uY7KOVHjSLy2pWtXtuoqqFRlMIgCtyRj18dS5Y5Mk2dS0w4dEXVPhSb90cun0btfNKj0ug0kEICsUpSgrdVywYUwsGOVDoq6p8KRfGplbSllO6tzGhZECjh06xYdEwWZm3DjxcrJDUYy21+uyQ1lMGzyRKYPG+RtuH7poIf3az1Y/wNydFTgc5UOP4ltTvkA4HPY7VmD9vW4jT2x5hT2xek4vPZazhp9I2DL7/djfRQsVnogMKLpKKyKCCk9EAkSFJyKBocKTfq+mtYGqlnpfM7QkYmxvqiGeTBz0PmpjTexqrk1jKulMY2ml36pqqedbSx/knZqNYDCxYDg/mHEVZXlDM5bBOcfv35/LveteBSAaCvP1I+dwYZn39wLWxZr4v8seZtHu9zEzynKH8oNjP8OEguG9FTuwdIQn/dY/vX0fy2o+IOYSxJIJ1tRu46uLfk8m33nw/LZl3LvuVZqTMZqTMerizfzovSd4t2aT5318d/kjLNr9PjGXoDUZZ0PDTr781l2HdLQoXVPhSb+0ramatXXbSLiPpjhM4qhurWdl7ZaM5Xhww2s0J2MdlrUk4zy+6U1Pj6+LNfHWrrXE3Efl5oDWRJxFu99PZ1RBhSf9VHMiRshSf3zNjKZ4axeP6B1NidTncjga4y2eHt+ajHe9wqC5i33LoVHhSb80Nr+EQZGuJ7uZVjQmYznOHzmD7FC0w7LccBbnjpzh6fHF2YMYk19C55snxZNJTiielKaU8iEVnvRLIQvx38d9lsJoLvnhbPLD2eSGs/jxsdeQlcHpDa8efzozisaSE46SF84mOxThnBHHcMawozzv4wczPkNRVsHezyMnFOX7x3yagqhmL0s3DS2Tfq01Gadi9/vEXZITiyf6dnfdNbXb+KChkiMHlzEqL3Vi7QOJJxMsrlpHY6KVE4onUtDN0asc2P6GlultKdKvZYUinFp6hN8xmFw4gsmFIw768ZFQmJNKDk9jIumKTmlFJDBUeCISGCo8EQkMvYaXYc453ty1gXeqtzI2fyhnjphMNBTMG1a2JuK8uG01Wxv3cGzxKI4bOjqjs1tJ8KjwMiieTHLjGw+yeNdGWpMJssMRSnMKePiM6xmSlet3vIza1VzP5XPvojbWTEsiTjQUZtbwSdxx0uWEVHrSS3RKm0HPbH6Pil0baUzEiLskDfFWtjTs4Vcr5/kdLeNuf/clKpvraYi3EndJmhIx5u9Yyyvb1/gdTQYwFV4Gvbh1FU2JjuMuYy7B3G2rfUrkn/k71hLfZxwsQGMixivb+s4cpjLwqPAyaFjuIMJdnK4Nzc73IY2/ujqFj4bClOQU+JBGgkKFl0FXTSgn2mnYU244yo1TTvMpkX9uPOI0csMdx6BGLcynxh3rUyIJAhVeBk0YVMLvTv0MkwaVYsCwnEH824wLmD3C/5ECmXbRmOn867RzKM7OxzCOHDyce06/hhF5g/2OJgOYxtKKyICiaRpFRFDhiUiAqPBEJDBUeCISGAccWmZmOcA8ILt9+0edc//WaZvrgNuBD2dP+aVz7q70RpWB5v7Vb3P7knnUx1oZO2gId5z+CaYXe7+nXDyZ5J9fe5pnP1hNEpg1Yhy/+NgnyYt4vwlodXMTP1++gJe3vM+w3AJumj6TWSPHH8Rn46/6WAu/fucNnvlgNUOyc/ny1JM5d8xkv2P1OQe8Smtto7nznXP1ZhYFFgC3OOcW7rPNdUC5c+6rXp9YV2mD7e4Vb/H9ipc7LDNg3qU3MrpgiKd9nP/U3aysruyw7LDcAhZ+ytuPYUsizsefuIttjbXEkm2jPnLDEf5n5hwuGDfF0z76gqRzXPj0H1i3Zzct7VM75oajfKd8NlcfEbz3NR7SVVrX5sNp3aPtf/x5L4sMGD9ZOj9lmQP+Y9FLnh6/qa4mpewAtjfV8+b2jZ728fzGNexubtxbdgBNiTg/fPsVT4/vK17btoGNdTV7yw6gKRHj9qXzMjpHb3/g6TU8Mwub2VJgJ/CCc66rSTcvM7PlZvaomY3uZj83mFmFmVVUVqb+sEpwNMZjXS5fU7PL0+Pfqdre7brFld7mpd1QV01jF1M6bm2o9fT4vmJ9bVWH+Xk/VNva3KEExWPhOecSzrkZwCjgRDOb2mmTp4BxzrnpwIvAvd3s507nXLlzrry0tPRQcks/V5Td9e2wThje5e/KFCcP734qxtmjvE1vOK34MPIi0ZTlk4eUeHp8XzGteESX9xEckTeI7IDea7E7PbpK65yrAV4Bzuu0fLdz7sOZh38HHJ+WdDJg/fCU81OWZYXCfLt8tqfHD83J4/wuXpQ/rmQkU4q8/TL92MgJTC0+bO+Y3rAZuZEot510jqfH9xUzSkZw+ohxe8s7bEZuOMp/nHyubqjaiZeLFqVAzDlXY2a5wN+AHznnnt5nmxHOuW3tH18CfMM5d/L+9quLFrJ452ZuW/QSWxtqOWn4aG476RyG5uT1aB/3rlrM3SsWEU8muGrysXx1+qk9enxrIsET69/jhU1/Z2R+IddOOZ4JhUN7tI++IJFM8vQHq3j2g1UU5+Tx2SOOY0rRML9j+WJ/Fy28FN502k5Rw7QdET7inLvNzG4DKpxzT5rZD4CLgDhQBXzZObdqf/tV4YlIbzikwustKjwR6Q26eYCICCo8EQkQFZ4PWhJx3q+uor419T1gmbR4+1aW7djma4YtdbW8unE9jbGD/1psr69jc92eg358IplkfU011c1NB72PdFixu5KFWzaSTKa+p07SQ9M0ZthDK5bz/dfnAhBPOq6dOoNvnfKxjL594PXNG7numcdoTbS9KTUnEuHhi67gmOHex7EeqtZ4nAsfvY+/V+/eu+zaqTO47fSzPe9jR0M9//DsX1ldVYlhjCos5HfnXcL4IUWe9/HqxvV87aVnaI7Hibsk544/nP+efR7Z4cz911hfU81Fj91PXWvbO7vCZvzs7AuZM6n/DG/rL3SEl0FLdmzj3197mYZYjIZYjJZEnPvfW8pDK5dnLEMymeSzT/95b9kBNMfjfPqJhzKWAeBLzz3RoewA/vjuUv623vusZdc/8zjv7dpBSyJBc/tR89VPPULS44W4HQ313Pj8E1Q1N9EYj9GaSPDC+rX88I3MTpt5yeN/2lt2AAnnuOmFp30/AxiIVHgZ9OCKZTTH4x2WNcXj3PvOkoxleGLtShJdFEJLIsH8TRsylmPe5q6f6xeLF3a5vLNNtTWsra7q8Lk4YE9LM8t2dj/sbF9Pr12dUo7NiTh/XvWup8enw6baGmpamlOWO+CuZXoXQ7qp8DKoJZHo8q4L+x5t9bbGWNdjWNvWZe6IoruDsNZOvxC605pIdvkygGG0JrztI5ZMdHk02Hm+3N7UtJ/vR1M3443l4KnwMujiw48kt9PYzZxwhEuPODpjGS47YipdvVoYMuPj47yNQU2HqaVdjwK4dpq32xlNGFJEcW7qeNxwyDh2+EhP+zhn/CTC1vG/QDQU4tzxmfs6TC4uJaeb1wu/ME0jNNNNhZdBZ4wZz2ePnkF2OMygaBY5kQinlI3mhhknZCxDTiTCf32s41hRA+44+0JCocz9ONxz4WUUZmV3WHbKyNFcffQMT483M+46/xJKcvMoiGZREM2iMCubu8+/lKywtwHzE4YM5TszzyA7HKYgmkVeJMrkoSX8+2ln9fjzORS/v+DSlAnav37CTIYXaFLydNNICx9sr6/jvV07GTt4CJOKin3JUN/ayp/eW0ooFOLqo6aTF/V+l+B0en7dGlbsruT8CZOZUtzzO+jEk0kWbdtMwjlOGFF2UFdXa5qbWLJjGyV5eUwtGe7LgPt4MskDK5ZR29LMVUcdw9Dcno0plo9oaJmIBIaGlomIoMITkQBR4YlIYGhomfimKRbj2dVr2LynluPLRnLq2DE9vmCwtbaWZ1avIZ5Mct7kwxlX5H1YmQSPCk98sb2ujkvve4D61lYaYzHyolFOGj2K317yScIe3x7z4tr3+cen/pekS5J08IvXF/Lds87kiunTejm99Fc6pRVf3P7qfHY3Nu4d+dEYi/Hmps28tPZ9T4+PJRLc+sxzNMfjtCaSxJNJWuJxbntpLnUtLQfegQSSCk98MX/DByljehtjMV5dv8HT49dVdT01YTQUYvk2b2NpJXhUeOKLkvzUN9ZmhcOMGORtdMHQ3DxiidTCSySTlBbkH3I+GZhUeOKLm049hZxIx5eQo+EQn/L4+ltpQT5nTBhP9j7DyLLCYaYMK2VySf+aV1YyR4Unvjj/iMn8xzlnU1ZYSFY4zHEjR/LAlVf0aPzoT+dcwBXHTKMgK4u8aJRPHDmF319+aS+mlv5OQ8tEZEDR0DIREVR4IhIgKjwRCQwVnogERqCGlj3z7mrunP8WNU3NzD5iIjefeSpD8nIymmH9rmp++tIClm7extihRXztrFM5bkxZj/Zxx8uvcc8bb9MaTzCqqJCff/oTTDms5zfP9Nsb6zby87mvs6WmlhPGjuJrZ81kVNFgv2PJABaYq7QPLFrG7X+bR1OsbYKXaDhE2ZDBPP2Va4mEM3Ogu6O2njm/upeG1tjeyWNyIhF+f+1lHDfG2zwM//XsXP745tIOy0JmLPjnGxjaxZt5+6rX3v+A//PQkzS3fz9CZhTmZPPsTddRlJc6V4WIV4G/Suuc4xdzX99bdgCxRJLKunrmrV2fsRwPLlpGSzzeYaas5nicX7zyhud9PLBoWcqypHP85KUFacmYKT996bW9ZQdtn0NzLM7jS97zMZUMdIEovETSUdOYOvdnLJFgU9WejOVYW7mb1i6GQ22sqvG8j3iy6yPy9ZXVB53LD1tqalOWNcfjrNtV5UMaCYpAFF4kHGJccep90sKhEDNGj8hYjlMmjCEn2vFl05AZ5T14DS8vK9rl8lMnjj2kbJk2Y9SIlOkic6NRTho32pc8EgyBKDyA7805i9xohEj7vdbyolFmHT6e6WWHZSzDpTOOpmxI4d7Sy46EKczJ5ubZp3rex7/PSZ1CsDAnmy+dfmLacmbCv5xzOgXZWXunVMyNRphQUsR5R0/2OZkMZIG5aAHwwe4aHlm8nF0NjZw9ZRJnHTGRUCizU/I1tcZ4cvlK3tqwmcOHFXPF8dMpyu/Zi/RLNm7lxy/Mo7KugY9NHs+/fHxWypFjf1BZ18DDi9/hg93VnDJhDHOmHUFWpP99HtK3aJpGEQmMwF+lFREBFZ6IBIgKT0QCQ4Xng8aWGKu27KSmocm3DM451u2s4oPKag72ddzKPfXc/dJbVLy/Oc3pRHqHLoll2AMLlvDT/11AOBQilkhwyQlH861LZmf0avG6nVV89e6/squuAedgZFEhv7r+YkYVex/H+oVf/5lF6z4qutxohBe/+0UKczUsTPouHeFl0JL1W/jp/y6gORanoaWV1niCJytW8MgbqcPFeksy6fjSnY+zefcemlrjNMfibKis5it3/9Xzkd6f5i/pUHYATbE4l//PA70RWSRtVHgZ9Nib79Kyz/hRaCuKh19fnrEMKzbvoLapmX2rLekc26pr2eBxeNrdcxd1uXxbF8PFRPoSFV4GJZJJujqGiidTx9f2WgbnUoZ0AZgZCY85vG4n0teo8DLoovKjUkZE5EQjXHLi1IxlmDp6ONnR1PG4Rfm5TBxe7GkfV502o8vlxQX95/ZUEkwqvAw6ZfJYrjujnKxImIKcLLIjYWYdOZ7Pzjo2YxnCoRC/+eLFDC3IJT87i7zsKMMK8/n19Rdj5u3CyZfOPplJncoxEjIe/trVvRFZJG00tMwHVfWNrNm2i9HFgykb6s8dfuOJJO9u2o6ZMW30YQd1lXj11p08/PpyZowbyUXlR/VCSpGe01haEQkMjaUVEUGFJyIBosITkcA44NAyM8sB5gHZ7ds/6pz7t07bZAN/BI4HdgNXOOc2pDNoayzOS0vWsnLjDiaPKuXs4yaTk9WzkXG79jTwzJsrqa5v4rSp4znu8DLPVyYHmpeX/J37X3qbUMj4/DknMHPq+B49PpFM8tp7G1i8ZhMjiwdzwYlTGNTDKS/rmlp47q1VbN5Vw3GTRnHatPGEQ/odLL3ngBctrK0R8p1z9WYWBRYAtzjnFu6zzVeA6c65G83sSuAS59wV+9tvTy5aNDa3cu2PH2RbVR1NLTFys6OUFOZx/79e5fk/2XsbtvOlOx4lnkjSGk+QmxXl/BOn8J2rz/b0+IHk279/hmcXre6w7FOzjuGbn5nt6fGJZJKbfvkXlq3bRlNLjJysCNnRCPf/61WUlXi76rx1dy2f/eEDNLXGaG6Nk5sdZdq4w/jlTZdmbNpMGZgO6aKFa1Pf/s9o+5/OLflJ4N72jx8FzrI0Hjo9/OoytuzaQ1NLDICmlhg7quu578XFnvdx2/0v0NgSozWeaNtHa4xn3lzJ6k070xWzX9hRXZdSdgB/nreM2i5mduvKvOXr9pYdQHNrnLrGFn7y2Kuec/zs8XnsaWimubVtqF1TS4x31m9n7tK1nvch0lOefpWaWdjMlgI7gRecc2922qQM2ATgnIsDewBvb9v3YP4762iJJTosa40nWPDuBk+PjyeSrN2yK2V50jkW/z1YtzZ68e013a5b8K63OXoXrty4t+w+lHSOxWu8fy0r1mzuMD8vtP0SWrjyA8/7EOkpT4XnnEs452YAo4ATzazzWKiujuZSzpXN7AYzqzCzisrKSs8hR5UMJtTpgNGAspJCT48Ph4z83KyU5ZFwiOFDBnnOMRBMGlna7boJI7z9jhpZXEh2NJyyvGRwvuccpUMKUpZlRcKM9HhKLHIwevRiiXOuBngFOK/Tqs3AaAAziwCDgZQZlZ1zdzrnyp1z5aWl3f/H6+zaj5eT1ek/WHY0wufPPcHT482Mz597QoeLHOGQMSgvm1nTJ3jOMRCcdOQYCvOzU5aXDs5nyuhhnvZx0SlHkRWJdPgtlxON8OU53qebvHHOKR3GFRsQjYS5+NSjPe9DpKcOWHhmVmpmQ9o/zgXOBlZ12uxJ4HPtH18OvOzSOIRjUlkJv7n5Mo4eN5y87ChHjhnGz796MUeN9T6n7HXnnMDNl5zOYUWDyM/JYvaMSfzx1s8QjaQeqQx0f/nedUweVYLRVjRHjxvOY9/93IEetlfRoDzuufVKTjpyLHnZUcYOK+J7nzuHs4473PM+zjhmIt///HmMG15EXnaUE6eM4d5br6S40PtRokhPeblKO522CxJh2gryEefcbWZ2G1DhnHuy/a0r9wHH0nZkd6Vzbt3+9quhZSLSG/Z3lfaAb2Rzzi2nrcg6L//uPh83A586lJAiIr1Nb3gSkcBQ4YlIYKjwRCQwAjNNo3OOp+e9x71PvUVdYwszZ4znq1fMYuhg3ZZcJCgCU3gPP7+E3zy6gOaWtqFMz72+iiWrNvPnH3+eSADfmiISRIE4pXXOcddf39hbdgCJRJKaumZeW+ptOJWI9H+BKLxE0lHf0JKyPJZIsG235lIVCYpAFF4kHGJc2dCU5WEzjplc5kMiEfFDIAoP4FtfOIfc7CjRSNunnJsd5cwTDufI8cN9TiYimRKYixbTJ4/k4R9dx1OvvktVbSOzjpvISdPG+h1LRDIoMIUHMLx4EF+89BS/Y4iITwJzSisiosITkcBQ4YlIYKjwRCQwVHgiEhgqPBEJDBWeiASGCk9EAkOFJyKBocITkcBQ4YlIYKjwRCQwVHgiEhgqPBEJDBWeiASGCk9EAkOFJyKBocITkcBQ4YlIYKjwRCQwVHgiEhgqPBEJDBWeiASGCk9EAkOFJyKBocITkcBQ4YlIYKjwRCQwVHgiEhgqPBEJDBWeiASGCk9EAkOFJyKBocITkcBQ4YlIYKjwRCQwVHgiEhgqPBEJjAMWnpmNNrO5ZrbSzN4zs1u62OYMM9tjZkvb/3y3d+KKiBy8iIdt4sA/OefeNrNBwGIze8E5t6LTdvOdc3PSH1FEJD0OeITnnNvmnHu7/eM6YCVQ1tvBRETSrUev4ZnZOOBY4M0uVp9iZsvM7FkzOzoN2URE0srLKS0AZlYAPAb8o3OuttPqt4Gxzrl6M7sA+CtweBf7uAG4AWDMmDEHHVpE5GB4OsIzsyhtZfcn59zjndc752qdc/XtHz8DRM2spIvt7nTOlTvnyktLSw8xuohIz3i5SmvA3cBK59xPutnmsPbtMLMT2/e7O51BRUQOlZdT2pnAZ4F3zGxp+7JvAWMAnHO/BS4HvmxmcaAJuNI553ohr4jIQTtg4TnnFgB2gG1+CfwyXaFERHqDRsSWa7YAAAYJSURBVFqISGCo8EQkMFR4IhIYKjwRCQwVnogEhgpPRAJDhScigaHCE5HAUOGJSGCo8EQkMFR4IhIYKjwRCQwVnogEhgpPRAJDhScigaHC64E9u2r5z8/8lDkF13DJ0Ov43a33EWuN+R1LRDzyPIlP0Dnn+OfZ32Pz6q3EYwlaGlt44lfPUbOrjn/5/Vf8jiciHugIz6OVC9ewY0Ml8Vhi77KWplbmPriAhtpGH5OJiFcqPI92b6vBQql3ug+FjPrqBh8SiUhPqfA8mnraFOKt8ZTl+UPyKB1d7EMiEekpFZ5HRcMGc/0PriIrN4twJExWTpTsvGy+8cebCYX0ZRTpD3TRogcuvWUOx3/8GF5/ooLs3Cw+dsWpFI8o8juWiHikwuuhsUeNZuxRo/2OISIHQediIhIYKjwRCQwVnogEhgpPRAJDhScigaHCE5HAUOGJSGCo8EQkMFR4IhIY5pzz54nNKoEPfHlyKAF2+fTc++oLOZThI30hhzJ85GBzjHXOlXa1wrfC85OZVTjnypVDGfpaDmXo3Rw6pRWRwFDhiUhgBLXw7vQ7QLu+kEMZPtIXcijDR9KeI5Cv4YlIMAX1CE9EAmjAF56Zhc1siZk9vZ9tLjczZ2a9cmXqQBnM7NNmtsLM3jOzB3ojw4FymNkYM5vbvn65mV3QC8+/wczeMbOlZlbRxXozs5+b2dr2DMelO4PHHFe3P/9yM3vdzI7JdIZ9tjvBzBJmdrkfGczsjPb175nZq+nO4CWHmQ02s6fMbFl7js8f7HMF4Y7HtwArgcKuVprZIOBm4E0/MpjZ4cA3gZnOuWozG+ZHDuA7wCPOud+Y2VHAM8C4XshwpnOuu/dWnQ8c3v7nJOA37X/3hv3lWA98rP37cT5tryX1Ro79ZcDMwsCPgOd74bkPmMHMhgC/Bs5zzm3s5Z/N/X0t/g+wwjn3CTMrBVab2Z+cc609fZIBfYRnZqOAC4G79rPZ94EfA80+ZfgH4FfOuWoA59xOn3I4PirCwcDW3shxAJ8E/ujaLASGmNmITIdwzr3+4fcDWAiMynSGdjcBjwG98jPhwVXA4865jdB7P5seOGCQmRlQAFQBqVMIejCgCw+4A7gVSHa10syOBUY757o93e3tDMBkYLKZvWZmC83sPJ9yfA+4xsw203Z0d1MvZHDA38xssZnd0MX6MmDTPv/e3L4s0zn2dT3wbKYzmFkZcAnw2154bk8ZaPvZLDKzV9q3udanHL8EjqTtl/A7wC3Oue5+jvdrwJ7SmtkcYKdzbrGZndHF+hDwU+A6vzK0i9B2CncGbUcS881sqnOuJsM5PgPc45z7HzM7BbivPcdB/WB1Y6Zzbmv7qdELZrbKOTdv36hdPKY33kZwoBxtYczOpK3wTvMhwx3AN5xzibYDm15xoAwR4HjgLCAXeMPMFjrn1mQ4x7nAUmA2MLF9m/nOudqePtFAPsKbCVxkZhuAh4DZZnb/PusHAVOBV9q3ORl4Ms0XLg6UAdqOYp5wzsWcc+uB1bQVYDp5yXE98AiAc+4NIIe2sYxp45zb2v73TuAvwImdNtkM7Dsl3Ch64dTaQw7MbDptp/+fdM7t9iFDOfBQ+/fscuDXZnZxhjNsBp5zzjW0v742D0j7BRwPOT5P26m1c86tpe011ikH+2QD/g9tR09PH2CbV4DyTGcAzgPubf+4hLZTumIfcjwLXNf+8YenD5bG580HBu3z8eu0vRi+7zYXtucw2n4BvdULn7+XHGOAtcCpvfQ9OGCGTtvfA1zuw9fhSOAl2o708oB3gak+5PgN8L32j4cDW4CSg3m+AXtK2x0zuw2ocM492UcyPA+cY2YrgATwL64Xjig85Pgn4Hdm9jXaTiOvc+0/YWkyHPhL++lZBHjAOfecmd0I4Jz7LW2vHV5AW9k00vabPd285PguUEzbURVA3KV3ELuXDL3tgBmccyvN7DlgOW2v/d7lnHs30zlou7B4j5m9Q9svw2+4/Vzd3h+NtBCRwBjIr+GJiHSgwhORwFDhiUhgqPBEJDBUeCISGCo8EQkMFZ6IBIYKT0QC4/8DAaxMFLVhVikAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=30, c = Seto_np[:,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f46e771888>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=30, c = Seto_np[:,1], cmap = pp.get_cmap('twilight_shifted'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "เฉดสีที่ใช้ได้โดยอัตโนมัติ values are: Accent, Accent_r, Blues, Blues_r, BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens, Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy, RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn, autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cividis, cividis_r, cool, cool_r, coolwarm, coolwarm_r, copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat, gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r, gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma, magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, seismic, seismic_r, spring, spring_r, summer, summer_r, tab10, tab10_r, tab20, tab20_r, tab20b, tab20b_r, tab20c, tab20c_r, terrain, terrain_r, twilight, twilight_r, twilight_shifted, twilight_shifted_r, viridis, viridis_r, winter, winter_r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f46ce8f288>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=30, c = Seto_np[:,1], cmap = 'YlOrBr')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](colormap.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "c = np.array([[R,G,B]] = ค่า RGB เท่าไหร่ในการผสมสี มีค่า 0-1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f470981c48>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = [20,10]\n",
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=30, c = np.array([[0.6,0.2,0.6]]),marker = 'D')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "เปลี่ยนรูปแบบ จุด โดยใช้ marker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f470f35ec8>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(Seto_np[:,0],Seto_np[:,1],s=60, c= '#FF0099',marker = '$O$' )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### plot over 2 data in 1 scatter plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "จาก\n",
    ">data_np_onlySeto = iris_data.iloc[:50,:-1].to_numpy()\n",
    "\n",
    ">data_np_onlyversi = iris_data.iloc[50:100,:-1].to_numpy()\n",
    "\n",
    ">data_np_onlyvirgi = iris_data.iloc[100:,:-1].to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f473279748>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(data_np_onlySeto[:,0],data_np_onlySeto[:,1],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('twilight_shifted'),marker = 'D')\n",
    "pp.scatter(data_np_onlyversi[:,0],data_np_onlyversi[:,1],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('twilight_shifted'),marker = '*')\n",
    "pp.scatter(data_np_onlyvirgi[:,0],data_np_onlyvirgi[:,1],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('summer'),marker = 'x')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HomeWork\n",
    "supplot 3 class หลายๆแบบ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = [5,5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f473dbdf88>"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(data_np_onlySeto[:,0],data_np_onlySeto[:,1],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('twilight_shifted'),marker = 'D'),\n",
    "pp.scatter(data_np_onlyversi[:,0],data_np_onlyversi[:,1],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('twilight_shifted'),marker = '*'),\n",
    "pp.scatter(data_np_onlyvirgi[:,0],data_np_onlyvirgi[:,1],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('summer'),marker = 'x')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f4734f8d48>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp.scatter(data_np_onlySeto[:,1],data_np_onlySeto[:,0],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('twilight_shifted'),marker = 'D')\n",
    "pp.scatter(data_np_onlyversi[:,1],data_np_onlyversi[:,0],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('twilight_shifted'),marker = '*')\n",
    "pp.scatter(data_np_onlyvirgi[:,1],data_np_onlyvirgi[:,0],s=60,c = Seto_np[:,1], cmap = pp.get_cmap('summer'),marker = 'x')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "onlyseto = iris_data.iloc[:50,:-1].to_numpy()\n",
    "onlyversi = iris_data.iloc[50:100,:-1].to_numpy()\n",
    "onlyvirgi = iris_data.iloc[100:,:-1].to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x1f4761c5fc8>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams['figure.figsize'] = [10,10]\n",
    "pp.subplot(3,4,1)\n",
    "pp.scatter(onlyseto[:,0],onlyseto[:,1],s=10, c = onlyseto[:,1],marker = 'D')\n",
    "pp.scatter(onlyversi[:,0],onlyversi[:,1],s=10, c = onlyseto[:,1],marker = '*')\n",
    "pp.scatter(onlyversi[:,0],onlyversi[:,1],s=10, c = onlyseto[:,1],marker = 'x')\n",
    "pp.subplot(3,4,2)\n",
    "pp.scatter(onlyseto[:,0],onlyseto[:,2],s=10, c = onlyseto[:,2],marker = 'D')\n",
    "pp.scatter(onlyversi[:,0],onlyversi[:,2],s=10, c = onlyseto[:,2],marker = '*')\n",
    "pp.scatter(onlyversi[:,0],onlyversi[:,2],s=10, c = onlyseto[:,2],marker = 'x')\n",
    "pp.subplot(3,4,3)\n",
    "pp.scatter(onlyseto[:,0],onlyseto[:,3],s=10, c = onlyseto[:,3],marker = 'D')\n",
    "pp.scatter(onlyversi[:,0],onlyversi[:,3],s=10, c = onlyseto[:,3],marker = '*')\n",
    "pp.scatter(onlyversi[:,0],onlyversi[:,3],s=10, c = onlyseto[:,3],marker = 'x')\n",
    "pp.subplot(3,4,4)\n",
    "pp.scatter(onlyseto[:,1],onlyseto[:,0],s=10, c = onlyseto[:,0],marker = 'D')\n",
    "pp.scatter(onlyversi[:,1],onlyversi[:,0],s=10, c = onlyseto[:,0],marker = '*')\n",
    "pp.scatter(onlyversi[:,1],onlyversi[:,0],s=10, c = onlyseto[:,0],marker = 'x')\n",
    "pp.subplot(3,4,5)\n",
    "pp.scatter(onlyseto[:,1],onlyseto[:,2],s=10, c = onlyseto[:,2],marker = 'D')\n",
    "pp.scatter(onlyversi[:,1],onlyversi[:,2],s=10, c = onlyseto[:,2],marker = '*')\n",
    "pp.scatter(onlyversi[:,1],onlyversi[:,2],s=10, c = onlyseto[:,2],marker = 'x')\n",
    "pp.subplot(3,4,6)\n",
    "pp.scatter(onlyseto[:,1],onlyseto[:,3],s=10, c = onlyseto[:,3],marker = 'D')\n",
    "pp.scatter(onlyversi[:,1],onlyversi[:,3],s=10, c = onlyseto[:,3],marker = '*')\n",
    "pp.scatter(onlyversi[:,1],onlyversi[:,3],s=10, c = onlyseto[:,3],marker = 'x')\n",
    "pp.subplot(3,4,7)\n",
    "pp.scatter(onlyseto[:,2],onlyseto[:,0],s=10, c = onlyseto[:,0],marker = 'D')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,0],s=10, c = onlyseto[:,0],marker = '*')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,0],s=10, c = onlyseto[:,0],marker = 'x')\n",
    "pp.subplot(3,4,8)\n",
    "pp.scatter(onlyseto[:,2],onlyseto[:,1],s=10, c = onlyseto[:,1],marker = 'D')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,1],s=10, c = onlyseto[:,1],marker = '*')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,1],s=10, c = onlyseto[:,1],marker = 'x')\n",
    "pp.subplot(3,4,9)\n",
    "pp.scatter(onlyseto[:,2],onlyseto[:,3],s=10, c = onlyseto[:,2],marker = 'D')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,3],s=10, c = onlyseto[:,2],marker = '*')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,3],s=10, c = onlyseto[:,2],marker = 'x')\n",
    "pp.subplot(3,4,10)\n",
    "pp.scatter(onlyseto[:,2],onlyseto[:,3],s=10, c = onlyseto[:,3],marker = 'D')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,3],s=10, c = onlyseto[:,3],marker = '*')\n",
    "pp.scatter(onlyversi[:,2],onlyversi[:,3],s=10, c = onlyseto[:,3],marker = 'x')\n",
    "pp.subplot(3,4,11)\n",
    "pp.scatter(onlyseto[:,3],onlyseto[:,0],s=10, c = onlyseto[:,0],marker = 'D')\n",
    "pp.scatter(onlyversi[:,3],onlyversi[:,0],s=10, c = onlyseto[:,0],marker = '*')\n",
    "pp.scatter(onlyversi[:,3],onlyversi[:,0],s=10, c = onlyseto[:,0],marker = 'x')\n",
    "pp.subplot(3,4,12)\n",
    "pp.scatter(onlyseto[:,3],onlyseto[:,1],s=10, c = onlyseto[:,0],marker = 'D')\n",
    "pp.scatter(onlyversi[:,3],onlyversi[:,1],s=10, c = onlyseto[:,0],marker = '*')\n",
    "pp.scatter(onlyversi[:,3],onlyversi[:,1],s=10, c = onlyseto[:,0],marker = 'x')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}