Seaborn/11_heatmap.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Seaborn: heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "cars = sns.load_dataset('mpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "      <th>origin</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>buick skylark 320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>plymouth satellite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>amc rebel sst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford torino</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "0  18.0          8         307.0       130.0    3504          12.0   \n",
       "1  15.0          8         350.0       165.0    3693          11.5   \n",
       "2  18.0          8         318.0       150.0    3436          11.0   \n",
       "3  16.0          8         304.0       150.0    3433          12.0   \n",
       "4  17.0          8         302.0       140.0    3449          10.5   \n",
       "\n",
       "   model_year origin                       name  \n",
       "0          70    usa  chevrolet chevelle malibu  \n",
       "1          70    usa          buick skylark 320  \n",
       "2          70    usa         plymouth satellite  \n",
       "3          70    usa              amc rebel sst  \n",
       "4          70    usa                ford torino  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cars.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Intro Visuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rc('xtick', labelsize=14)\n",
    "plt.rc('ytick', labelsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "xlabels = ['Mon', 'Tues', 'Wed', 'Thurs', 'Fri']\n",
    "ylabels = ['Coffee', 'Juice', 'Soda', 'Tea']\n",
    "\n",
    "orders = np.array([[44, 31, 50, 41, 30], \n",
    "                   [21, 12, 28, 38, 35],\n",
    "                   [15, 18, 20, 14, 12],\n",
    "                   [38, 29, 39, 26, 11]]\n",
    "                 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.heatmap(orders, \n",
    "            cmap='YlOrBr',\n",
    "            vmin=0,\n",
    "            xticklabels=xlabels,\n",
    "            yticklabels=ylabels,\n",
    "            annot=True,\n",
    "            alpha=0,\n",
    "            square=True,\n",
    "            annot_kws={'fontsize':14, 'fontweight': 'bold', 'color': 'black'}\n",
    "           )\n",
    "plt.yticks(rotation=0)\n",
    "plt.tick_params(\n",
    "    which='both',      \n",
    "    bottom=False,      \n",
    "    left=False,      \n",
    "    labelbottom=False,\n",
    "    labeltop=True) \n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,5))\n",
    "sns.heatmap(orders, \n",
    "            cmap='YlOrBr',\n",
    "            vmin=0,\n",
    "            xticklabels=xlabels,\n",
    "            yticklabels=ylabels,\n",
    "            annot=True,\n",
    "            square=True,\n",
    "            annot_kws={'fontsize':14, 'fontweight': 'bold', 'color': 'black'}\n",
    "           )\n",
    "plt.yticks(rotation=0)\n",
    "plt.tick_params(\n",
    "    which='both',      \n",
    "    bottom=False,      \n",
    "    left=False,      \n",
    "    labelbottom=False,\n",
    "    labeltop=True) \n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Color Palette Overlay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "origin_cyl_arr = np.array([[  0.,  63.,   3.,   4.,   0.],\n",
    "                           [  4.,  69.,   0.,   6.,   0.],\n",
    "                           [  0.,  72.,   0.,  74., 103.]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl_arr, \n",
    "            xticklabels=[], \n",
    "            yticklabels=[],\n",
    "            cmap='rocket',\n",
    "            linewidth=1,\n",
    "            linecolor='gray'\n",
    "           )\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl_arr, \n",
    "            xticklabels=[], \n",
    "            yticklabels=[],\n",
    "            cmap='rocket_r',\n",
    "            linewidth=1,\n",
    "            linecolor='lightgray'\n",
    "           )\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Annotation Overlay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl_arr, \n",
    "            xticklabels=[], \n",
    "            yticklabels=[],\n",
    "            cmap='Blues'\n",
    "           )\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl_arr, \n",
    "            xticklabels=[], \n",
    "            yticklabels=[],\n",
    "            cmap='Blues',\n",
    "            annot=True,\n",
    "            fmt='.0f',\n",
    "            annot_kws={'fontsize':20, 'fontweight': 'bold'}\n",
    "           )\n",
    "plt.tight_layout();\n",
    "plt.savefig('11heatmap_example_withannot.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rc('xtick', labelsize=10)\n",
    "plt.rc('ytick', labelsize=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "origin  cylinders\n",
       "europe  4             63\n",
       "        6              4\n",
       "        5              3\n",
       "japan   4             69\n",
       "        6              6\n",
       "        3              4\n",
       "usa     8            103\n",
       "        6             74\n",
       "        4             72\n",
       "Name: cylinders, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cars.groupby('origin').cylinders.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>cylinders</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>europe</th>\n",
       "      <td>0.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>japan</th>\n",
       "      <td>4.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usa</th>\n",
       "      <td>0.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "cylinders    3     4    5     6      8\n",
       "origin                                \n",
       "europe     0.0  63.0  3.0   4.0    0.0\n",
       "japan      4.0  69.0  0.0   6.0    0.0\n",
       "usa        0.0  72.0  0.0  74.0  103.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(cars\n",
    " .groupby('origin')\n",
    " .cylinders\n",
    " .value_counts()\n",
    " .unstack()\n",
    " .fillna(0)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "origin_cyl = (\n",
    "    cars\n",
    "    .groupby('origin')\n",
    "    .cylinders\n",
    "    .value_counts()\n",
    "    .unstack()\n",
    "    .fillna(0)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAEKCAYAAAAyx7/DAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFy5JREFUeJzt3Xu0ZGV55/Hvr2lIQ3MXZLBRaUeiC5moyCgJjhdIDF4iJMtx6RjDQkwvlyYy6tLojBm8jJM4XqIxGUx7IRjRRBEG43hdCHE0gnIxIqAjAUGwEaOCgtGmTz/zx95NF6w+farq1D5Vu/r76bXX2bWr9n6fopun3372+747VYUkqT9WTTsASdJoTNyS1DMmbknqGRO3JPWMiVuSesbELUk9Y+KWpJ4xcUtSz5i4JalnVk87gMWs3mPd3E3p3PTEh047hE6s/9JN0w5h4nZbNZ99mrs2/3zaIXRiy+Zbstxr3P0v1w+dc3Y/6CHLbm855vNPpyTNsZntcUvSitq6MO0IhmaPW5IAFrYMvy0hyfuT3JbkGwPHDkzyuSTfbn8e0B5Pkj9Pcl2Sryc5eqnrm7glCajaOvQ2hL8GTrzPsVcDF1bVEcCF7WuApwJHtNsG4MylLm7iliSArVuH35ZQVV8AfnSfwycBZ7f7ZwMnDxz/QDUuAfZPcujOrm+NW5IAhutJL8chVbWp3b8VOKTdXwd8d+BzN7fHNrEIE7ckwUg3J5NsoClrbLOxqjYOe35VVZKxhzybuCUJRupxt0l66ETd+n6SQ6tqU1sKua09fgvwwIHPHdYeW5Q1bkkCamHL0NuYPg6c0u6fAlwwcPz32tElxwJ3DJRUdsgetyTBUDcdh5Xkw8CTgIOS3AycAfwp8JEkpwE3As9uP/5J4GnAdcDPgFOXur6JW5Jgojcnq+q5i7x1wg4+W8BLRrm+iVuSoFczJ03ckgQrMRxwYkzckgRDTWWfFSZuSYKJ3pzsmolbkoAqa9yS1C/WuCWpZyyVSFLP2OOWpJ5ZuHvaEQzNxC1JYKlEknrHUokk9Yw9bknqGRO3JPVLeXNSknrGGrck9YylEknqGXvcktQz9rglqWfscUtSz2zxQQqS1C/2uCWpZ6xxS1LP9KjHvarrBpI8Psmp7f7BSdZ33aYkjWzr1uG3Keu0x53kDOAY4GHAWcDuwAeB47psV5JG1qMed9elkt8GHg1cAVBV30uyz2IfTrIB2ACQ3fZj1aq1HYcnSS1Hldxjc1VVkgJIstNMXFUbgY0Aq/dYVx3HJknbVX9STteJ+yNJ/grYP8nvAy8A3tNxm5I0uhmoXQ+r08RdVW9N8hvAT4BfBv5bVX2uyzYlaSwm7nu5CtgTqHZfkmZPj25OdjocMMkLga8AvwM8C7gkyQu6bFOSxrKwMPw2ZV33uF8JPLqqfgiQ5H7APwLv77hdSRqNpZJ7/BD46cDrn7bHJGm2mLjvcR1waZILaGrcJwFfT/JygKp6e8ftS9JwJljjTvIy4IVsv7d3KnAo8LfA/YDLgedX1eZxrt/1lPd/Bv43TfAAFwA3APu0myTNhNpaQ287k2Qd8FLgmKo6CtgNeA7wZuDPquqhwI+B08aNtevhgK8HSLJ3+/rOLtuTpLFNtlSyGtgzyd3AXsAm4HjgP7Xvnw28DjhznIt3ParkqCRXAlcDVye5PMkjumxTksYyoVElVXUL8FbgJpqEfQdNaeT2qto2r/5mYN24oXZdKtkIvLyqHlxVDwZegTMnJc2iEVYHTLIhyWUD24Ztl0lyAM39vPXAA4C1wImTDLXrm5Nrq+qibS+q6uKl1iuRpKkYoVQyuK7SDvw6cENV/QAgyXk0K6Lun2R12+s+DLhl3FC77nFfn+SPkxzebq8Fru+4TUkaXdXw287dBBybZK8kAU4ArgEuopmICHAKzWCNsXSduF8AHAycB3wMOKg9JkmzZUIPUqiqS4FzaZazvoomz24E/gh4eZLraIYEvm/cUDsrlSTZDfivVfXSrtqQpIlZYpjfKKrqDOCM+xy+HnjsJK7fWeKuqoUkj+/q+pI0UTOwBsmwur45eWWSjwMfBe7adrCqzuu4XUkaSTnl/R5raNYmOX7gWNHUvCVpdkywVNK1rmdOntrl9SVpYnq0HnfXT3k/i+3rlNyjqhxZImm22OO+xycG9tfQPPX9ex23KUmj2+LNSQCq6mODr5N8GPhil21K0lgslSzqCOD+K9ymJC3NUkkjyU+5d437VuBVXbYpSeNwOOB2+wHPA9ZX1RuSPAj4Nx23KUmj61GPu+u1Sv4SOBZ4bvv6p+0xSZotW2v4bcq67nE/rqqObh+mQFX9OMkeHbcpSaNzyvs97m4XmyqAJAcD/SkkSdplLPUsyVnSdeL+c+B84P5J3kSzFu1rO25TkkZn4m5U1TlJLqdZSDzAyVV1bZdtStJYHFWyXVV9E/hm1+1I0rLY45aknjFxS1K/1IKlkmVbu8eaaYcwcb/0oPkcCfnzf9g87RAm7n577jPtEDpxFz+fdgizyx63JPWLwwElqW9M3JLUM/0pcZu4JQmgtvQnc5u4JQnscUtS33hzUpL6xh63JPWLPW5J6ht73JLUL7Vl2hEMz8QtSUDZ45aknjFxS1K/2OOWpJ7pU+JeNe0AJGkW1EKG3paSZP8k5yb5ZpJrk/xqkgOTfC7Jt9ufB4wbq4lbkmh63MNuQ3gn8OmqejjwSOBa4NXAhVV1BHBh+3osJm5JAmprht52Jsl+wBOA9wFU1eaquh04CTi7/djZwMnjxmriliQm2uNeD/wAOCvJlUnem2QtcEhVbWo/cytwyLixmrglCajK0FuSDUkuG9g2DFxqNXA0cGZVPRq4i/uURaqqgLHn2DuqRJIYbVRJVW0ENi7y9s3AzVV1afv6XJrE/f0kh1bVpiSHAreNG6s9bkkCti5k6G1nqupW4LtJHtYeOgG4Bvg4cEp77BTggnFjtcctSbDkTccR/SFwTpI9gOuBU2k6yh9JchpwI/DscS9u4pYkJpu4q+prwDE7eOuESVzfxC1JQPVnOW4TtyTBxEslnRoqcSf5ZeCVwIMHz6mq4zuKS5JWVNWcJW7go8C7gfcAC92FI0nTsTDEGiSzYtjEvaWqzuw0Ekmaonnscf99khcD5wO/2Hawqn7USVSStMLmrsbN9kHjrxw4VsBDJhuOJE3H3I0qqar1XQciSdM0Nz3uJMdX1eeT/M6O3q+q87oJS5JW1sLW/qwAslSP+4nA54Hf2sF7BZi4Jc2FuSmVVNUZ7c9TVyYcSZqOrfM2qiTJy3dw+A7g8nZO/o7OOQ54Hdsn7YRmGVpvaEqaOfM4HPCYdvv79vUzgK8DL0ry0ar6nzs4533Ay4DLcdKOpBk3N6WSAYcBR1fVnQBJzgD+D81z1S4HdpS476iqT40STPsUiQ0Aa/Y4iD1233eU0yVpbHNXKgHuz8DEG+Bumuen/WuSXyxyzkVJ3kJzA3Nw0s4VizUy+FSJ/fb+tz36+09S383TqJJtzgEuTbLtiQ2/BXyofQDmNYuc87j25+CatAW4MJWkmdOnnuKwE3DemORTwHHtoRdV1WXt/vMWOefJE4hPklbE3JRKkuxbVT9JciDN43euH3jvwKXWKknydOARwJptx6rqDcsLWZImb55GlXyIZgTJ5dz7XxJhibVKkrwb2At4MvBe4FnAV5YTrCR1ZYSHvE/dUhNwnpEkwBOr6qYRr/1rVfUrSb5eVa9P8jZgpFEmkrRSiv70uJe8jVpVRTP0b1T/2v78WZIH0IxEOXSM60hS57ZUht6mbdjxL1ck+fcjXvsTSfYH3gJcAXyHpvQiSTOnyNDbtA07HPBxwO8m+Q5wF9unr//KYidU1Rvb3Y8l+QSwpqruWE6wktSVualxD/hN4ADgP7SvvwDcvrMTkqwBXgw8nuZG5heTnFlVPx8zVknqzCz0pIc1bKnkZOBvgIOAg9v9Zy5xzgdohgK+C/gL4Mj2PEmaOVtH2KZt2B73acCxVXUXQJI3A1+mScqLOaqqjhx4fVGSxWZZStJULcxhjzvce4W/hfbYzlyR5Nh7LpA8DrhsJ5+XpKnZmuG3aRu2x30WzVol57evT6ZZtnVnHgP8Y5Jt478fBHwryVUscWNTklba1h71uIddq+TtSS6mudEIcGpVXbnEaScuJzBJWklzt8gU3LMc66JLsu7g8zcCJLk/916rZNQZmJLUuVm46TisoRP3qJI8E3gb8ADgNppHmF1LM9JEkmbK1vSnVNLlyuFvBI4F/l9VrQdOAC7psD1JGtvCCNu0dZm4766qHwKrkqyqqou490MVJGlmzOOoknHcnmRv4P8C5yS5jWa6vCTNnD6NKumyx/1M4GfA6cCngeto1vaWpJlTI2zDSLJbkivbtZpIsj7JpUmuS/J3SfYYN9aJJ+4kX2x3v0+znsmPaaa8/w/ghiQ3JHnxpNuVpOXooFRyOs2AjG3eDPxZVT2UJi+eNm6sE0/cVfX49uc+VbVvu+3TbvvR1LlPn3S7krQck1yrJMlhwNNpnv5F+0Ca44Fz24+cTTORcSwr/jz69oblk1a6XUnamYUMvyXZkOSygW3DfS73DuBVbM/z9wNur6ot7eubgXXjxtrlzclFVdWmabQrSYsZZQJOVW0ENu7ovSTPAG6rqsuTPGkSsd3XVBK3JM2aCc6cPA54ZpKn0cwa3xd4J7B/ktVtr/sw4JZxG1jxUokkzaLK8NtOr1P1mqo6rKoOB54DfL6qngdcBDyr/dgpwAXjxmriliRW5EEKfwS8PMl1NDXvpVZYXZSlEkmim6nsVXUxcHG7fz3w2Elc18QtSczGVPZhmbglCZd1laTeMXFLUs/M5RNwJGmeWeOWpJ6ZhQckDGtmE/ddm38+7RAmLvusWfpDmgn//OL5fMLeL73iLdMOYWZt7VGxZGYTtyStJG9OSlLP9Ke/beKWJMAetyT1zpb0p89t4pYkLJVIUu9YKpGknnE4oCT1TH/StolbkgBLJZLUOws96nObuCUJe9yS1Dtlj1uS+sUetyT1jMMBJaln+pO2TdySBMCWHqVuE7ck4c1JSeodb05KUs/Y45aknrHHLUk9s1D2uCWpVxzHLUk9Y41bknrGGrck9YylEknqmT6VSlZNOwBJmgULVUNvO5PkgUkuSnJNkquTnN4ePzDJ55J8u/15wLixmrgliaZUMuy2hC3AK6rqSOBY4CVJjgReDVxYVUcAF7avx2LiliSam5PDbjtTVZuq6op2/6fAtcA64CTg7PZjZwMnjxurNW5Jopsad5LDgUcDlwKHVNWm9q1bgUPGva49bklitFJJkg1JLhvYNtz3ekn2Bj4G/Oeq+snge1VVLGMJcHvckgTUCFPeq2ojsHGx95PsTpO0z6mq89rD309yaFVtSnIocNu4sdrjliRggRp625kkAd4HXFtVbx946+PAKe3+KcAF48Zqj1uSmOgEnOOA5wNXJflae+y/AH8KfCTJacCNwLPHbcDELUmMVipZ4jpfBLLI2ydMoo1OE3eSI4A/AY4E1mw7XlUP6bJdSRpVn6a8d13jPgs4k2ZA+pOBDwAfXOzDg3dqt269q+PQJGm7GuHXtHWduPesqguBVNWNVfU64OmLfbiqNlbVMVV1zKpVazsOTZK2m9SU95XQdY37F0lWAd9O8gfALcDeHbcpSSOzVLLd6cBewEuBx9DcaT1lp2dI0hRMcK2SznXa466qr7a7d7ZDYPa+7wwiSZoFkxpVshI67XEn+VCSfZOsBb4BXJPklV22KUnj6FOPu+tSyZFtD/tk4FPAeppyiSTNlD6NKun65uTu7Zz9k4G/qKq7m9mgkjRbFqo/T53susf9buAGYC3whSQPBu7ouE1JGllVDb1NW9c97gOB97T7f0zzF8XFHbcpSSObhdr1sLpO3HcO7K8BnkrzNAhJmimzULseVtfDAd82+DrJW4HPdNmmJI1j6wyUQIa10qsD7gUctsJtStKS7HG3klzF9sfz7AYcDLyhyzYlaRx9GlXSdY/7GQP7W4DvV9WWjtuUpJFZKmlV1Y1dXl+SJsVSiST1jD1uSeoZe9yS1DMLtTDtEIZm4pYk+rWsq4lbknDKuyT1jj1uSeoZR5VIUs84qkSSesYp75LUM9a4JalnrHFLUs/Y45aknnEctyT1jD1uSeoZR5VIUs/06ebkqmkHIEmzoKqG3paS5MQk30pyXZJXTzpWE7ck0cycHPbXziTZDfhL4KnAkcBzkxw5yVhN3JLERHvcjwWuq6rrq2oz8LfASZOM1Rq3JDHRGvc64LsDr28GHjepi8MMJ+4tm2/JSrWVZENVbVyp9lbKSn2vLe/ouoXt/L3qj759p1FyTpINwIaBQxtX8rtaKmlsWPojvTSP32sevxPM5/eax+8EQFVtrKpjBrbBpH0L8MCB14e1xybGxC1Jk/VV4Igk65PsATwH+PgkG5jZUokk9VFVbUnyB8BngN2A91fV1ZNsw8Td6E0dbkTz+L3m8TvBfH6vefxOQ6mqTwKf7Or66dP8fEmSNW5J6p1dOnEnWZPkK0n+KcnVSV4/7ZgmJcluSa5M8olpxzIpSb6T5KokX0ty2bTjmYQk+yc5N8k3k1yb5FenHdMkJHlZ+//UN5J8OMmaacc0T3bpxA38Aji+qh4JPAo4McmxU45pUk4Hrp12EB14clU9qqqOmXYgE/JO4NNV9XDgkczB71mSdcBLgWOq6iiaG3TPmW5U82WXTtzVuLN9uXu79b7on+Qw4OnAe6cdixaXZD/gCcD7AKpqc1XdPt2oJmY1sGeS1cBewPemHM9c2aUTN9xTUvgacBvwuaq6dNoxTcA7gFcB/VlgeDgFfDbJ5e3Mtb5bD/wAOKsta703ydppB7VcVXUL8FbgJmATcEdVfXa6Uc2XXT5xV9VCVT2KZnbTY5McNe2YliPJM4DbquryacfSgcdX1dE0q669JMkTph3QMq0GjgbOrKpHA3cBE18CdKUlOYBmUaX1wAOAtUl+d7pRzZddPnFv0/4T9SLgxGnHskzHAc9M8h2aVcmOT/LB6YY0GW1Pjqq6DTifZhW2PrsZuHngX3nn0iTyvvt14Iaq+kFV3Q2cB/zalGOaK7t04k5ycJL92/09gd8AvjndqJanql5TVYdV1eE0N4Q+X1W97+0kWZtkn237wFOAb0w3quWpqluB7yZ5WHvoBOCaKYY0KTcBxybZK0lovlfvb7rOkl195uShwNntwuergI9U1dwMn5szhwDnN3mA1cCHqurT0w1pIv4QOKdd0+J64NQpx7NsVXVpknOBK4AtwJXswrMou+DMSUnqmV26VCJJfWTilqSeMXFLUs+YuCWpZ0zcktQzJm5NXZK/TvKsdv+9SY4c8fw7l/6UND929XHcmjFV9cIur99OCElVzds6LtqF2ONWZ5L8XpKvt+udn5/khiS7t+/tO/h64JyLkxzT7t+Z5E3t+ZckOaQ9vj7Jl9u1uf/7fc5/ZZKvtu2+vj12eJJvJfkAzWzLB7a9/G+013jZSvz3kCbFxK1OJHkE8Fq2r3d+GnAxzXKz0EzHP69dy2Ixa4FL2vO/APx+e/ydNAsz/Tua1ee2tfkU4AiaNUweBTxmYCGqI4D/VVWPAA4C1lXVUe01zlru95VWkolbXTke+GhV/QtAVf2IZn3wbVO6T2XphLkZ2LYEweXA4e3+ccCH2/2/Gfj8U9rtSprp1g+nSdgAN1bVJe3+9cBDkrwryYnAT0b6ZtKUWePWiqmqL7VliycBu1XVUotE3V3b12RY4N5/Xne0VkOAP6mqv7rXweRwmiVTt8Xx4ySPBH4TeBHwbOAFI3wVaarscasrnwf+Y5L7ASQ5sD3+AeBDLK888SW2PwrreQPHPwO8IMnebZvrktz/vicnOQhYVVUfoynnzMNSqtqFmLjViaq6GngT8A9J/gl4e/vWOcABbC91jON0mgcpXAWsG2jzszR/KXy5fe9cYJ8dnL8OuLh98tEHgdcsIxZpxbk6oFZUO177pKp6/rRjkfrKGrdWTJJ30Tx27GnTjkXqM3vcktQz1rglqWdM3JLUMyZuSeoZE7ck9YyJW5J6xsQtST3z/wGFbGR98CDefgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Arrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2],\n",
       "       [3, 4]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_array = np.array([[1, 2], [3, 4]])\n",
    "\n",
    "test_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0yRXzHpO2no8BS1JDVrqS1JChK0kNGbqS1JChK0kNGbqS1JChK0kNGbqS1ND/AcU2gcb+PlZ3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(test_array);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Transpose"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>origin</th>\n",
       "      <th>europe</th>\n",
       "      <th>japan</th>\n",
       "      <th>usa</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cylinders</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>63.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "origin     europe  japan    usa\n",
       "cylinders                      \n",
       "3             0.0    4.0    0.0\n",
       "4            63.0   69.0   72.0\n",
       "5             3.0    0.0    0.0\n",
       "6             4.0    6.0   74.0\n",
       "8             0.0    0.0  103.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "origin_cyl.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl.T);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mpg</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.775396</td>\n",
       "      <td>-0.804203</td>\n",
       "      <td>-0.778427</td>\n",
       "      <td>-0.831741</td>\n",
       "      <td>0.420289</td>\n",
       "      <td>0.579267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cylinders</th>\n",
       "      <td>-0.775396</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.950721</td>\n",
       "      <td>0.842983</td>\n",
       "      <td>0.896017</td>\n",
       "      <td>-0.505419</td>\n",
       "      <td>-0.348746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>displacement</th>\n",
       "      <td>-0.804203</td>\n",
       "      <td>0.950721</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.897257</td>\n",
       "      <td>0.932824</td>\n",
       "      <td>-0.543684</td>\n",
       "      <td>-0.370164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>horsepower</th>\n",
       "      <td>-0.778427</td>\n",
       "      <td>0.842983</td>\n",
       "      <td>0.897257</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.864538</td>\n",
       "      <td>-0.689196</td>\n",
       "      <td>-0.416361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>-0.831741</td>\n",
       "      <td>0.896017</td>\n",
       "      <td>0.932824</td>\n",
       "      <td>0.864538</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.417457</td>\n",
       "      <td>-0.306564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acceleration</th>\n",
       "      <td>0.420289</td>\n",
       "      <td>-0.505419</td>\n",
       "      <td>-0.543684</td>\n",
       "      <td>-0.689196</td>\n",
       "      <td>-0.417457</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.288137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model_year</th>\n",
       "      <td>0.579267</td>\n",
       "      <td>-0.348746</td>\n",
       "      <td>-0.370164</td>\n",
       "      <td>-0.416361</td>\n",
       "      <td>-0.306564</td>\n",
       "      <td>0.288137</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   mpg  cylinders  displacement  horsepower    weight  \\\n",
       "mpg           1.000000  -0.775396     -0.804203   -0.778427 -0.831741   \n",
       "cylinders    -0.775396   1.000000      0.950721    0.842983  0.896017   \n",
       "displacement -0.804203   0.950721      1.000000    0.897257  0.932824   \n",
       "horsepower   -0.778427   0.842983      0.897257    1.000000  0.864538   \n",
       "weight       -0.831741   0.896017      0.932824    0.864538  1.000000   \n",
       "acceleration  0.420289  -0.505419     -0.543684   -0.689196 -0.417457   \n",
       "model_year    0.579267  -0.348746     -0.370164   -0.416361 -0.306564   \n",
       "\n",
       "              acceleration  model_year  \n",
       "mpg               0.420289    0.579267  \n",
       "cylinders        -0.505419   -0.348746  \n",
       "displacement     -0.543684   -0.370164  \n",
       "horsepower       -0.689196   -0.416361  \n",
       "weight           -0.417457   -0.306564  \n",
       "acceleration      1.000000    0.288137  \n",
       "model_year        0.288137    1.000000  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cars.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr());"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Color Palette"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seaborn offers 170 different color palette options.  Check out this great [post](https://medium.com/@morganjonesartist/color-guide-to-seaborn-palettes-da849406d44f) to view them all.\n",
    "\n",
    "We'll start with a SEQUENTIAL palette."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl, cmap=\"Blues\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's try a DIVERGING palette."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), cmap='RdBu');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Controling the Colorbar Range: center, vmax, vmin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), cmap='RdBu', center=0);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), cmap='RdBu', vmin=-1, vmax=1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Annotations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl, cmap='Blues', annot=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl, cmap='Blues', annot=True, fmt=\".0f\");  #fmt=\".1f\" for one decimal place"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(origin_cyl, \n",
    "            cmap='Blues', \n",
    "            annot=True, \n",
    "            fmt=\".0f\",\n",
    "            annot_kws={\n",
    "                'fontsize': 16,\n",
    "                'fontweight': 'bold',\n",
    "                'fontfamily': 'serif',\n",
    "               # 'color': 'black'\n",
    "            }\n",
    "           );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Styling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### linewidth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), cmap='RdBu', linewidth=1);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### linecolor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), \n",
    "            cmap='RdBu', \n",
    "            linewidth=1,\n",
    "            linecolor='black'\n",
    "           );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tick Labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), cmap='RdBu');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = ['MPG', 'Cylinders', 'Displacement', 'Horsepower',\n",
    "          'Weight', 'Acceleration', 'Model Year'\n",
    "         ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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tNV41oJUlXdlxvBYwp9z/CnC87eMlHQocDbyyPLYBsJvthZJ+Crzb9lxJqwKPSHoZsCmwM837OEfSnsBtwPOAt5bzjwPeVZr9ZgN72/61pBOAfwK+CmxbXnMP4Fpgp/L7X1LKZwHvtP0bSbsAXwNeMjTOcXivIiLGRb+vBTdeNaC/2d528AZ8rOOxXYHvlvvfBnbveOwHHR/qc4EvSHovsEZp6npZuV0BXA5sRpOQAH5ve265/51y3ecBt9j+dSk/HtizXOu3kjanSWZfAPakSUbnl4S3G/CDkkiPBZ4+TJxPIGmmpPmS5l++8IEe3qqIiPEh9XZrq9p9QA8P3rH9GUmnAH8PzJX0dzS1nn+3fWznkyTNADzkWkOPhzoPeDnwGHAWTU1pOvBBmkT8l5I8R4xzKNuzaGpP/L+VNhkthoiIcSP390fOZEykvRB4fbl/EHB+t5MkbWL7GtufBebR1HZOBw4tNRQkPVPSuuUpG0ratdx/A3ABcCMwQ9JzSvkbgV+W++cDRwAX2b4beBpNjela2w8At0h6bXkdSdpmHH73iIiJ44Hebi01GTWg9wDfkvRB4G7gLcOcd4SkFwMDwHXAz20/WprNLiozfh8CDgYW0iSbd5f+n+uBr9t+RNJbaJrSlqNJZMeU618CrEdTEwK4GljfXvQV4iDg65L+BVge+D5w1bi8AxERE0AD/T0od1wSkO1VhxzPpmniwvatLO7M7zznkCHH7xnm2l8GvtxZVprgHrd9cJfzzwa261L+N2DFjuOZQx6/Bdh3tDgjIlqjz5vgavcBRUTEsmpx81ov+nIxVdu/s71V7TgiImqSB3q69XQtaV9JN0q6SdJHujy+oqSTyuOXlJaoMenLBBQREYzbIARJ04H/ohkpvAVwoKQthpz2VuDPtp8DfBH47FjDTwKKiOhXA4/3dhvdzsBNtm+2vYBmENb+Q87Zn2ZuJcAPgb01xv0gkoAiIvrVwEBvt9E9E/h9x/HtpazrOWVy//0001mWWRJQRESf6rUPqHPFlnKbOfrVJ15GwUVE9KseBxh0rtgyjD8Az+o43qCUdTvn9jLP8qnAvT3H2kVqQBER/cru7Ta6ecCmkjaWtALN6jVzhpwzB3hzuf8a4BcdE/mXSWpAERH9apzmAdl+XNJhNMufTQeOs32dpE8C823PAf4b+Lakm4D7WLzE2jJLAoqI6FPjuRSP7VOBU4eUfazj/iPAa8ftBUkCGld3P9rO7YIeeeDu2iF09djD99cOoau1n7tT7RCGdc+v59UOoas937TE6letsNbmG9UOYWL1+UoISUAREf0qCSgiImrodZmdtkoCiojoV71NMm2tJKCIiH6V7RgiIqKGbEgXERF1pA8oIiKqSAKKiIgqBto597BXSUAREX3KGQUXERFVPL6gdgRjkgQUEdGnvLC/m+D6YjsGSV+UdETH8emSvtlx/J+Sjhzh+Rf28Bq/k7R2l/K9JO22LHFHREyo8dsRtYq+SEDAXGA3AEnTgLWBLTse3w0YNsnYHksC2WvwtSMiWmVgYW+3luqXBHQhsGu5vyVwLfCgpDUlrQhsDlwu6YOS5km6WtJRg0+W9FD5OU3S1yT9StKZkk6V9JqO13mPpMslXSNpM0kzgHcC75N0paQ9JuF3jYjoiQcW9nRrq77oA7L9R0mPS9qQpjZyEfBMmqR0P3ANTU1lU2BnQMAcSXvaPq/jUq8CZgBbAOsCNwDHdTx+j+3tJb0L+IDtt0k6BnjI9ucn8neMiFhqLW5e60VfJKDiQprksxvwBZoEtBtNApoLvKzcrijnr0qTkDoT0O7AD2wPAH+SdM6Q1/hx+XkZTbIalaSZwEyAPViLLVht6X6riIhl5IyCmzSD/UDPp2mC+z3wfuAB4FvAi4B/t33sGF7j0fJzIT2+N7ZnAbMA3qkZ/b0yYET0lz6vAfVLHxA0NaBXAPfZXmj7PmANmma4C2n2Mj9U0qoAkp4pad0h15gLvLr0Ba1H02w3mgch1ZqIaB8vXNjTra36KQFdQzP67eIhZffbvsf2GcB3gYskXQP8kCUTx4+A24Hrge8Al9M04Y3kp8ABGYQQEa3T56Pg+qYJzvZCYPUhZYcMOf4y8OUuz121/ByQ9AHbD0l6GnApTRLD9oyO8+dTake2fw1sPY6/SkTE+GhxculF3ySgcfQzSWsAKwCfsv2n2gFFRCyLrAXXZ2zvVTuGiIhxkVFwERFRQ2pAERFRR/qAIiKiiiSgiIiooc1zfHqRBBQR0a8ef6x2BGOSBBQR0afavNJ1L5KAIiL6VEbBRUREFV6YBBTFzvPOG/2kCt7x6bfVDqGrRwYeHf2kCm48667aIQxrzzdtVzuErjY7d6XaIXQ1933vrx3CsHYah2skAUVERBVpgouIiCoGFjxeO4QxSQKKiOhTA5kHFBERNaQJLiIiqsgghIiIqCIJKCIiqlj4WH8PQphWO4CIiFg2XjjQ022sJK0l6UxJvyk/1xzh3NUl3S7pq6NdNwkoIqJPTVYCAj4CnG17U+DscjycTwE9zcpPAoqI6FMeGOjpNg72B44v948HXtntJEk7AOsBZ/Ry0fQBRUT0qUkchLCe7TvK/T/RJJknkDQN+E/gYOClvVw0CSgiok/1moAkzQRmdhTNsj1ryDlnAet3efpHn/CatiW5y3nvAk61fbuknuIacwKS9ErgZGBz278a6/U6rvuQ7VXH6VpH0Lzhfy3HpwJvsP2X8bh+REQNvY6CK8lm1ijnDFtrkXSnpKfbvkPS04FuK/buCuwh6V3AqsAK5XN82P6i8egDOhC4oPysQo2RfpcjgFUGD2z/fZJPRPQ7L1zY020czAHeXO6/GfjfJWKxD7K9oe0ZwAeAE0ZKPjDGBCRpVWB34K3A6zvKPyzpGklXSfpMKXuOpLNK2eWSNinlH5Q0T9LVko4a5nWWOEfSDEk3SjoBuBZ4lqSvS5ov6bqO894LPAM4R9I5pex3ktYu94+UdG25HdFx7RskfaNc6wxJK4/lvYqIGG+TOAjhM8A+kn5D078z+Lm+o6RvLutFx1oD2h84zfavgXsl7SDp5aV8F9vbAJ8r554I/Fcp2w24Q9LLgE2BnYFtgR0k7dn5AqOcsynwNdtb2r4V+KjtHYGtgRdJ2tr20cAfgRfbfvGQa+8AvAXYBXgB8HZJ23Vc+79sbwn8BXh1tzdA0syS9Ob/8sffXdr3LyJimU3WMGzb99re2/amtl9q+75SPt/2EhuO2Z5t+7DRrjvWPqADgS+X+98vxwK+NdjfYvs+SasBz7R9cil7BBYll5cBV5RrrErzwd85hny4c24DbrV9cce5/1g625YDng5sAVw9Qvy7AyfbfrjE82NgD5rq5i22ryznXQbM6HaBzrbV4+bf1q1jLiJiQjxpl+KRtBbwEuD5ZUTEdMDAD5bmMsC/2z52ac+RNAN4uON4Y5p2x51s/1nSbGAs2zR2bte5EEgTXES0ykCfJ6CxNMG9Bvi27Y1sz7D9LOAW4H7gLZJWgSZR2X4QuL2MmEPSiuXx04FDS18Skp4pad0hr9PLOQCr0ySk+yWtB7y847EHgdW6POd84JWSVpH0FOCAUhYR0XoDjz3e062txtIEdyDw2SFlPwI2p2nCmi9pAXAq8M/AG4FjJX0SeAx4re0zJG0OXFTGjT9EM4lp0RC/Ec55wtAO21dJugL4FfB7YG7Hw7OA0yT9sbMfyPblpaZ0aSn6pu0rSu0qIqLVvLC/W/1l9/cv0CZt7QPa7tNL9BG2wiMPPDr6SRXceFW3KQ7tsOebthv9pAo2O3csrd0TZ+7//mftEIa104Zr9jZbcwTXHvQPPX3mbHXiKWN+rYmQlRAiIvqUB1r5nbdnSUAREX1qoM+b4JKAIiL61MCCcVnloJokoIiIPpUaUEREVPGknYgaERF1DWQQQkRE1NDv84CSgCIi+lS/L8WTBBQR0acGFiQBRXHW9XfWDqGrV+y+ee0Qunr8kQW1Q+hqo5dswaN/eah2GF2ttflGtUPoau773l87hK5euH874wJYcMVxY75GakARU0xbk0/EUFkJISIiqsg8oIiIqCLzgCIioooMw46IiCoWPpa14CIiooL0AUVERBVpgouIiCoyCCEiIqpIE1xERFSx8PHUgCIiooKFTg0oIiIq6PMWOKZNxEUlWdJ3Oo6Xk3S3pJ8t5XV+J2ntpT1H0omS/qnjeBdJV0tafmlePyKizRbaPd3aakISEPAwsJWklcvxPsAfJui1ujkS+KCkdSRNA74KvMv2Y2O5qKTUGCOiNRa6t1tbTVQCAjgV+Idy/0Dge4MPSFpL0k9KreRiSVuX8qdJOkPSdZK+CajjOQdLulTSlZKOlTR9uBe2fSfweeBzwDuBq21fUK7zckkXSbpc0kmSnlLKj5I0T9K1ko6RpFJ+gaQvSpoPHDaO709ExJikBjS87wOvl7QSsDVwScdjRwFX2N4a+GfghFL+ceAC21sCJwMbAkjaHHgd8ELb2wILgYNGef1jgC2ADwIfKtdZF/gIsLft7YGrgcPL+V+2vRPwfOCpwL4d15pue0fbX1q6tyAiYuIsGHBPt7aasARk+2pgBk3t59QhD+8OfLuc9wvgaZJWB/YEvlPKTwH+XM7fG9gBmCfpynL87FFefwA4Fvi57XtL8W40SenCcp2DSowAe0u6FLgKeBGwZcflThrudSTNlDRf0vybzjl5pJAiIsZVvzfBTXSfxhyaprC9gKeN4ToCjrf9f5fyeQPl1nmd02y/8QkXl1ah6Sfa3vYfJH0aWKnjlIeHewHbs4BZAG84YV6L/6kjYqppc3LpxUQ2wQEcBxxl+5oh5edTmtAk7QXcY/sB4DzgDaX85cCa5fyzgdeUJrTBPqRl2Zv4QuBFkp5drvMUSZsCK9MkqnskrQa8ehmuHRExqfq9D2hCa0C2bweO7vLQJ4DjJF0N/BV4cyk/CviepOtoksVt5TrXS/oX4Iwyqu0x4N3ArUsZz52S3gqcJGmFUvzPtk+RdDxwPXAHT+yviohopX6vAU1IArK9apeyc4Fzy/37gFd2Oede4GXDXPMkuvTF2J4xQhyzgdlDys4Ezuxy7kdoBigMLd99uOtHRNTU5tpNLzKvJSKiT7V5hFsvkoAiIvpUvzfBTfQghIiImCCTNQihDPw6U9Jvys81hznvc2UhgRskHT04oX84SUAREX1qoMfbOPgIcLbtTWlGJS/RXy5pN+CFNAsPbAXsRDOnclhJQBERfWoSh2HvDxxf7h9Pl0FkgGnmT64ArAgsD9w50kXTBxQR0acmcRDCerbvKPf/BKw39ATbF0k6h2Yqi4Cv2r5hpIsmAUVE9KleByFImgnM7CiaVVZx6TznLGD9Lk//aOeBbUta4pUlPQfYHNigFJ0paQ/b5w8XVxJQRESf6rV5rXPJsBHOeelwj0m6U9LTbd8h6enAXV1OOwC42PZD5Tk/B3alWfmmq/QBRUT0qUlcjHQOi1eseTPwv13OuY1mqbPlyuafLwJGbIJLAoqI6FOTOAjhM8A+kn4DvLQcI2nHsncbwA+B3wLX0OwqcJXtn450UbnPl3KYqiTNHNpG2wZtjQvaG1viWjptjQvaHVs/Sg2ovWaOfkoVbY0L2htb4lo6bY0L2h1b30kCioiIKpKAIiKiiiSg9mprO3Nb44L2xpa4lk5b44J2x9Z3MgghIiKqSA0oIiKqSAKKiIgqkoAiIrqQNF3Se2vHMZUlAcVSkbSmpK1rxzFI0uG9lE2m8sH1+ZoxdCPphb2URcP2QuDg2nFMZRmE0AKSNgBm2L6gHB8JrFoe/q7tm6oF18RzLrAfzeK1l9EsRDjX9pE14wKQdLnt7YeUXWF7u1oxlRgutv2CmjEMNcx7tUTZZJO0IvBqYAYdCyTb/mStmAZJ+gLNF/WTgIcHy21fXS2oKSSrYbfDfwAndhy/g2a45yrAUcBBNYLq8FTbD0h6G3CC7Y9LqvofUNKBwBuAjSXN6XhoNeC+OlE9wRUlrh/wxA+uH092IJJ2BXYD1ilfbgatDkyf7Hi6+F/gfpovN49WjmWoncrPHTrKDOxZIZYpJwmoHZ5n+2cdx3+1/Z8AkoZdynwSLVeWYP9HhuwNUtGFNBtfrQ1nYOWDAAAQ10lEQVT8Z0f5g0Abvp2uBNwLvKSjzMCkJyCaHSpXpfn/vlpH+QPAayrEM9QGtvetHUQ3tveoHcNUlgTUDisNOd674/7akxnIMI4CTgcusD1P0rOB39QMyPatwK00+420ju231I5hkO1fAr+UNLu8b21zoaTn276mdiDdSPo7YEs6/p/a/rd6EU0dSUDt8KCk59r+NYDt+wAkbUbzjb4aSdOBZ9leNPDA9s00bfbVSXoV8FlgXZptgEWzaePqleN6LvB1mq2MtyoDN/az/emKYa0oaRZL9rW8ZNhnTI7dgUMk3ULTBDf4b1h9sIukrwFr0DS5fYvm7/7iqkFNIRmE0AKS9gWOBv4VuLwU7wD8M3C47Z/Xig1A0qW2d64Zw3Ak3QT8n9H2np9skn4JfBA4dnBAhKRrbW9VMaargGNo+loWDpbbvqxWTACSNupW3obamqSrbW8t6Srb20haDTjFdvqAxkFqQC1g+7TyTf5DwOC8g2uBV9m+tl5ki8yV9FWWHAl0+fBPmTR3ti35FKvYvlRSZ9njtYIZfH3bX68cwxJs3yppG2Cwv+V821fVjKnD38rPRyStT9Ov94yK8UwpSUDtcSdNLegm23+pHcwQ25afncNizRM72GuZL+kk4Cd0jKCqMdpsiHskbULzPiHpNTSDJiadpLXK3Z9KehdwMk98r6qOGizztt7O4gEa35E0y/ZXKoY16OeS1gA+D1xJU3M8oW5IU0ea4FqgDG/+N5rtbDcGZtqeM/KzAkDSt7oU2/ahkx5MhzJQYxbN8Oc/A7cAB9VoVip9K6bpWxnKtp89ySE9QRnSv6vth8vxU4CL2tAH1EnSysDKtRP2VJIE1AKSrgVebPvu8sF1ou3WjO6StB5NgnyG7ZdL2oLmA+O/K4fWeuXDdJrtqoNJ2kzSNcBOth8pxysB82w/v25ki5LOEcBGtt8p6TnAprX7ZaeKNMG1wwLbd0MzwqzMDG+T2TQjgAbnAP2apj+oegJq6WgzJP2WZrTU+eV2Xc14YNGIwaHuB66xfddkx9PhW8Alkk4ux6+kBX9bxXHANTQj9QD+SDO5OAloHKQG1AKS7gK+31H0+s5j21UXRJQ0z/ZOnUvcSLrS9rajPXcSYmvdaLMSw4rALjQd6y8EngdcbfuAijGdQjNv6pxStBfNiLiNgU/a/nal0JC0PYs/5M+3fUWtWDpJmm97xzb+7U8FqQG1wweHHFcdFtvFw5KexuIO9RfQfHNugzaONoOms/qx8nOAZv28mrUMaP6/b277TljUtHoCTaI8D5jUBCRp9bLE01rA78pt8LG1WtLXsqA0CQ7+7W8MLKgb0tSRBNQCto+vHcMojgTmAJtImgusQzuWcIEWjTYb4gGappsvAN+wfW/leKCZUHxnx/Fdpew+SY9ViOe7wCtovnB1NsWoHFcdHFF8EjgN2EDS8cCLgLfWDWnqSBNcCwxZTHMJtvebrFiGI2k5mmYkATfarvGBtYRhRpsdbPt3lePan6ZJaWeab8wXAufZPrtiTF8DNqTpw4BmVv/tNDXwn9l+ca3Y2kbS9LIdA5LWofn7EnBh5f6yKSUJqAUk3Q38HvgecAlDhsuWtbxqxNWt03qRFsy1WaSto83KckovpxlJta7tlSvGIpqkM7gH0FzgR678ISDpbNt7j1Y2yTFdCfyT7YtqxfBkkATUAmW9tX2AA4GtgVOA79muOnKqY47NujTfAH9Rjl9M803wFVUC61AmCb6JJdc3qz1w40fANjRzuwZHwl0yONQ4Fg23XoVmUMReLP7itTpwmu3NKoWGpF2ArwBXAR+y/edasUxlSUAtU0ZPHUizR9BRtr9aOSQknQG82fYd5fjpwGzbf1c3MpB0Ic1w52toOvuB+v1qknYErhhsxqkcywW2d5f0IF36Wmot3FpWQDiCZmmbP7A4AT1A029W9W+/1BjfCXyAZth1599XtuoeB0lALVESzz/QJJ8ZNJ3+x9n+Q824ACTdYHvzjuNpwHWdZbWoBTt6diNpeeCfWLxx2S+BY9rSd9Ymkt7TkmV3nqCM/PwPYAvgWFr0BWeqSAJqAUknAFsBpwLfb8kCpIuUhUg3pemjAngdzZp176kXVUPS+4CHgJ/RrvXNvgksDwx+UL0RWGj7bfWiAkm708zk/5aktYHVbN9SM6YS11Y0H/Sde+5UW3NN0jtpBmf8B80cs3xQToAkoBaQNMDiVaZb00TSqQxIGFyt+DzbJ490/mSR9G6abSz+wuL3rg3rm11le5vRyiY5po8DO9LswPtcSc8AfmD7haM8dTLi2osmAZ1KM2jjAtvVhvpL+g5wZEa8TawkoOhrkm4GdrZ9T+1YOkm6HHit7d+W42cDP6zZXFhGdm0HXN4xq//q2ot+lrXgtqHpM9umTJD9ju19asYVEy8TUWNUaumuo8VNwF9rB9HFB4FzSoIUsBFQe5vuBbYtaXDS7lMqxzPob7YHJD0uaXXKBNnaQcXESwKKXnyOFu46WjwMXCnpHJ7YB1R1lJLtsyVtSjN5F5rJu4+O9JxJ8D+SjgXWkPR24FDgG5VjgmZPpzVoYrmMpk8v82+eBNIEF6OSNLd2P8FwJL25W3ntUUpljsu7aFZDMM08oGNqzAOSdATNSgyX08zhehlNrex022dOdjxDYhOwge3fl+MZwOq2r64c11ojPV57kMtUkQQUo5L0ZWB92rfrKLBoz5YNbd9YO5ZBkv4HeBD4Til6A7CG7ddWiOXzNBOJN6OZLzWXJiFd2IYPUknXtGHvn05q+SZ+U0USUIxKLd11FEDS/6HZLnkF2xtL2pZma4Gq6+dJut72FqOVTXJMK9CMgtuNZluGXYG/1IypxHU88FXb82rGEZMvfUAxKtu1O89H8gmaBT/PBbB9ZRlxVtvlkl5g+2JYtLTL/MoxrUyzzM1Ty+2PNDWi2nYBDpJ0K02f3uAgl+pbcpcmwoOAjW1/StKGwPq2L60c2pSQBBTDkvQh25+T9BWeOD8JqN/RXzxm+/4h+wENDHfyJNoBuFDSbeV4Q+DGMuR4Uj9cJc0CtqRpEryEpvntCy1a36z6kk4j+BrN39NLgE/RvIc/AnaqGdRUkQQUIxkc9Vb7m/tIrpP0BmB6GXX2XpoP2Nr2rR1Ahw2BFYHf0Ky5djvNxN1WsH3rkBUa1gFWrR1XsYvt7SVdAWD7z6UpM8ZB+oCir0laBfgozcgugNOBT7dh1ek2LXtTmpK2pOn/2Y1m6af7gItsf7xGTB2xtXKFBgBJl9C8X/NKIloHOGNwIm+MTRJQDEvST+nS9Daodkd/m7X1Q1XSBjT7Ae1Gsxvp02yvUTmmVq7QUOI4iGbtw+1p1vV7DfAvtn8w4hOjJ2mCi5F8vnYAo5F0Js2SN38px2vSLOhau1/hAMqHKoDtP0parUYgkt7L4prPY5Qh2MBxtGMQQltXaMD2iZIuA/amGRzxypZOyO5LSUAxLJedWMtQ51Nst6Fzf6i1B5MPLGqjX7dmQEWbPlRn0GzD/b7BPZ1apnUrNAyZiHoXi1eCR9JabZg/NRUkAUUvXgd8qezyeZztX9UOqMOApA1t3wYgaSNGaDacRK35ULV9ZI3X7ZXtz0vah2YjuucBH6u9QgPNkkCDE1E3BP5c7q8B3AZsXC+0qSN9QNGTskjkgTQLahr4Fs224Q9WjmtfYBbNhm+i2TJipu3Ta8YFUD5UW7PsTSw9Sd8ATrZ9ajl+OU0z3DvqRjY1JAFFz8oOkW+k2Ub5BuA5wNG1d7MsI8xeUA4vbsPWDKXJ7RHbCyU9j+ab/c+dHVEX0ZJbhC96iJastt5tmaA2Lh3Ur5KAYlSS9qOp+TwHOAE43vZdZQj09bZnVI5vTZodWzt30zyvXkRQOq73ANYELqCZS7XA9kE144qlI+l0moVkB9f0OwjYswWDXKaE9AHFsCQ9h2YR0lcDXxz8UJf0Qkmr2f6tpLdWjvFtwOHABsCVNDWhi2hmrtck238t78/Xy4oSV1aOqbXaNGdqiAOBjwODOwCfV8piHEyrHUC02peA+22/eUiN4oHyGLbPrhLZYofTLItyq+0X0wx9bsMsf0naleYb8ymlbHrFeFqrzJn6MPB/S9EKLK5xVGX7PtuHA3sCe9g+PCPgxk8SUIxkPdtLzBMpZTMmP5yuHhlc9UDSimWE3vNGec5kOJzmA/Vk29eVBVLPqRxTWx0A7EezECm2/whUmTM1lKTnl2V4rqVZ9ukySVvVjmuqSBNcjGSkGfIrT1oUI7u97Kb5E+BMSX8Gbq0ZkKTpwH6dK0XYvplmnbpYUpvmTA11LHCk7XMAJO1FM+pyt5pBTRVJQDGS+ZLebvsJ81dKv8tllWJ6AtsHlLufKNtyPxU4rWJIlJFvu9eMoc+0Zs5UF08ZTD4Ats9tWYLsaxkFF8OStB5N5+sCFiecHWna6A+w/aeKsbV6y2RJXweeSbMCwcOD5W3ZRbZt2jpnStLJNMspfbsUHQzs0PHFJ8YgCShGJenFNKsnA1xn+xc144H2b5nc5l1k20bSxsAdHX15K9P0P/6uamAsGuJ/FDBYoz0f+ESL9lLqa0lAEVGVpPnAbrYXlOMVgLm2s+nbFJc+oOh7kl5F8w3VwPm2f1I5pMFtD75Cs/UBNN+cD7d9e72oWmu5weQDYHtB7U3fJM0Z6fFsRTI+koCir0n6Gs0KDYOrFb9T0j62310xLGjWyvsu8NpyfHAp26daRO11t6T9bM8BkLQ/UHs5pV2B39P8XV1C96beGKM0wUVfk/QrYHOXP2RJ02j6qTavHNeVtrcdrSxA0ibAicAzStHtwJts31Qxpuk0XxYOBLammUz8PdvX1YppKspE1Oh3N9Eslz/oWaWstnslHSxperkdDNxbO6g2sv1b2y8AtgC2sL1bzeRTYlpo+zTbb6ZZ3ukm4FxJh9WMa6pJAop+txpwg6RzJZ0LXA+sLmnOaO34E+xQ4B+BPwF30Gzl/JaK8bSWpH+TtIbth2w/JGlNSZ9uQVwrlv7F7wDvBo5m8ZpwMQ7SBBd9TdKLRnp8cFfXaC9JV9jebkjZ5ba3rxjTCTRTD06l2eL92lqxTGVJQNHXyqz0v9kekPRcYDMq7rsj6SuMsCOr7SzHM4Skq4GdbD9ajlcG5tvesmJMAyyeQNz579mavYqmgoyCi353HrBHmTB4BjCPZgvxWvvuzO+4fxTNUv4xshOBs8vkXQGHAMfXDMh2uicmQWpA0dcGm2okvQdYuey7c5XtbVoQ2xJNS9Fd2Vr9pTS1jQeA9VswlD4mWLJ89Ltu++605e863+56dyfN+/Vams0Eb6gbTkyGNMFFvzuC7LvTl0qf3YHldg9wEk2rzIurBhaTJk1wEeNI0oMsrvmsAvx18CHSef0EpaP/fOCtg/N+JN1ceyHZmDypAUVfkvQl20dI+ildmrpqrdVluxU7efaJVwGvB86RdBrwfbLkzZNKakDRlyTtYPuy4eYBZf5P/yhD6fenaYp7CXACTZPqGVUDiwmXBBR9T9I6ALbvrh1LjE0ZTv9a4HW2964dT0ysJKDoW5I+ARxGM+pNwOPAV2x/smZcEdGbtgxXjVgqko6k2WtnJ9tr2V4T2AV4oaT31Y0uInqRGlD0JUlXAPvYvmdI+TrAGZkAGtF+qQFFv1p+aPKBRf1Ay1eIJyKWUhJQ9KsFy/hYRLREmuCiL0layOLVip/wELCS7dSCIlouCSgiIqpIE1xERFSRBBQREVUkAUVERBVJQBERUUUSUEREVPH/ARukKgCFpgdiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), \n",
    "            cmap='RdBu',\n",
    "            xticklabels=labels,\n",
    "            yticklabels=labels\n",
    "           );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), \n",
    "            cmap='RdBu', \n",
    "            xticklabels=False,\n",
    "            yticklabels=labels\n",
    "           );"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### square"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(cars.corr(), \n",
    "            cmap='RdBu',\n",
    "            square=True\n",
    "           );"
   ]
  },
  {
   "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}