{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Päivitetty 2025-11-28 / Aki Taanila\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "print(f'Päivitetty {datetime.now().date()} / Aki Taanila')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5/7 Seaborn-kaaviot\n",
    "\n",
    "Aiempien osien esimerkit pohjautuivat datasta laskettuihin pieniin yhteenvetotaulukoihin. Nyt siirrytään tarkastelmaan grafiikan laatimista suoraan alkuperäisestä datasta ilman yhteenvetotaulukoiden laskemista.\n",
    "\n",
    "**Seaborn** on matplotlibin päälle rakennettu grafiikka-paketti, joka tarjoaa helppoja tapoja kaavioiden luontiin suoraan datasta. Kaavioita voit muotoilla kuten mitä tahansa matplotlib-kaavioita.\n",
    "\n",
    "Tässä muistiossa on esimerkkejä seuraavista seabornin kaaviolajeista:\n",
    "\n",
    "* **countplot** - lukumääräyhteeveto kategoriselle muuttujalle\n",
    "* **histplot** -  luokiteltu jakauma määrälliselle muuttujalle\n",
    "* **barplot** - pylväskaavio keskiarvoista tai jostain muista tunnusluvuista\n",
    "* **boxplot** - viiden luvun yhteeveto (pienin, alaneljännes, mediaani, yläneljännes, suurin)\n",
    "* **scatterplot** - hajontakaavio, joka havainnollistaa kahden määrällisen muuttujan välistä riippuvuutta\n",
    "* **jointplot** - hajontakaavio täydennettynä muuttujien jakaumilla.\n",
    "\n",
    "Tässä muistiossa on myös esimerkkejä usean kaavion yhdistelmistä käyttäen **catplot**-, **displot**- ja **relplot**-funktioita.\n",
    "\n",
    "Seaborn-kaavioita on helppo laatia, jos muistat keskeiset parametrit:\n",
    "\n",
    "* **data**\n",
    "* **x**\n",
    "* **y**\n",
    "* **hue** (minkä muuttujan mukaan tehdään värierottelu?)\n",
    "* **row** (yhdistelmäkaavioiden catplot, displot ja relplot yhteydessä)\n",
    "* **col** (yhdistelmäkaavioiden catplot, displot ja relplot yhteydessä)\n",
    "* **kind** (kaaviolaji yhdistelmäkaavioiden catplot, displot ja relplot yhteydessä).\n",
    "\n",
    "\n",
    "### Seaborn-kaavioiden värit ja koot\n",
    "\n",
    "Kaavion luonnissa voit määrittää värin **color**-parametrin arvona. Esimerkiksi tämän muistion ensimmäiseen kaavioon määritetään pylväille vihreä väri seuraavasti: `sns.countplot(tips, x='size', color='green')`. Pylväiden reunavärin voit määrittää **edgecolor**-parametrilla.\n",
    "\n",
    "* Värejä: https://matplotlib.org/stable/gallery/color/named_colors.html.\n",
    "\n",
    "Seaborn-kaavion luonnissa voit määrittää käytettävän värikartan **palette**-parametrilla.\n",
    "\n",
    "* Värikarttoja: https://matplotlib.org/stable/tutorials/colors/colormaps.html.\n",
    "\n",
    "Yksittäisen kaavion koon voit määrittää luomalla kaaviota ympäröivän kuvion (**figure**) ennen kaavion luomista. Esimerkiksi `plt.figure(figsize=(10,6))`.\n",
    "\n",
    "Yhdistelmäkaavion (catplot, displot, relplot, jointplot) kokoa säädät **height**- ja **aspect**-parametreillä.\n",
    "\n",
    "### Tuonnit ja alkuvalmistelut"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Grafiikan tyylimäärittely 'whitegrid' sisältää taustaviivoitukset (grid).\n",
    "# Muita tyylivaihtoehtoja ovat 'darkgrid', 'dark', 'white' ja 'ticks'.\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Datan avaaminen\n",
    "\n",
    "Seaborn-paketin esimerkkidata **tips** sisältää tietoja ravintolassa asioineista seurueista."
   ]
  },
  {
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>29.03</td>\n",
       "      <td>5.92</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>27.18</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>22.67</td>\n",
       "      <td>2.00</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>17.82</td>\n",
       "      <td>1.75</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sat</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>18.78</td>\n",
       "      <td>3.00</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Thur</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>244 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     total_bill   tip     sex smoker   day    time  size\n",
       "0         16.99  1.01  Female     No   Sun  Dinner     2\n",
       "1         10.34  1.66    Male     No   Sun  Dinner     3\n",
       "2         21.01  3.50    Male     No   Sun  Dinner     3\n",
       "3         23.68  3.31    Male     No   Sun  Dinner     2\n",
       "4         24.59  3.61  Female     No   Sun  Dinner     4\n",
       "..          ...   ...     ...    ...   ...     ...   ...\n",
       "239       29.03  5.92    Male     No   Sat  Dinner     3\n",
       "240       27.18  2.00  Female    Yes   Sat  Dinner     2\n",
       "241       22.67  2.00    Male    Yes   Sat  Dinner     2\n",
       "242       17.82  1.75    Male     No   Sat  Dinner     2\n",
       "243       18.78  3.00  Female     No  Thur  Dinner     2\n",
       "\n",
       "[244 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips = sns.load_dataset('tips')\n",
    "tips"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### countplot\n",
    "\n",
    "Sopii kategoristen muuttujien lukumäärä- ja prosenttiyhteenvetoihin: https://seaborn.pydata.org/generated/seaborn.countplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='size', ylabel='count'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri kokoisten seurueiden lukumäärät.\n",
    "plt.figure(figsize=(4, 3))\n",
    "sns.countplot(tips, x='size')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='count'>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lounas- ja illallisseurueiden lukumäärät eri viikonpäivinä.\n",
    "plt.figure(figsize=(4, 3))\n",
    "sns.countplot(tips, x='day', hue='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**For**-toistorakennetta käyttäen voin esittää usean muuttujan jakaumat yhdessä kuviossa, joka sisältää monta kaaviota.\n",
    "\n",
    "Komento `fig, axs = plt.subplots(nrows=1, ncols=4, figsize=(12,3))` luo kuvion, jossa on 4 kaaviota vierekkäin (`ncols=4`). Komento palauttaa sekä kuvion (**fig**) että sen sisältämien kaavioiden listan (**axs**).\n",
    "\n",
    "**Enumerate**-funktio palauttaa sekä kategoriset-listan muuttujien järjestysnumerot että muuttujien nimet. Järjestysnumeroita tarvitaan osoittamaan mihin kaavioon mikäkin muuttuja sijoitetaan (`ax=axs[i]`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Kategoristen muuttujien yhteenvedot.\n",
    "kategoriset = ['sex', 'smoker', 'day', 'time']\n",
    "fig, axs = plt.subplots(nrows=1, ncols=4, figsize=(12,3))\n",
    "for i, muuttuja in enumerate(kategoriset):\n",
    "    sns.countplot(tips, x=muuttuja, ax=axs[i])\n",
    "fig.subplots_adjust(wspace=0.3) # Kaavioiden välinen tyhjä tila"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**countplot** sopii käytettäväksi <b>catplot</b>-toiminnon yhteydessä (`kind='count'`). Tällöin voit esittää useita kaavioita kategoristen muuttujien määräämille ryhmille. Seuraavassa ryhmittelevinä kategorisina muuttujina ovat sex (`col='sex'`) ja smoker (`row='smoker'`).\n",
    "\n",
    "Lisätietoa: https://seaborn.pydata.org/generated/seaborn.catplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x249c0a06a50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 511.111x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lounas- ja päivällisseurueiden lukumäärät sukupuolen ja tupakoinnin mukaan.\n",
    "sns.catplot(tips, x='time', col='sex', row='smoker', kind='count', height=2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### histplot\n",
    "\n",
    "Sopii määrällisen muuttujan luokitellun jakauman esittämiseen: https://seaborn.pydata.org/generated/seaborn.histplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='Count'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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LI488otNPP13r16/XZ599pnXr1unMM8/k4nMAACDiwj7iUl5erlWrVikhIUGS1K9fP91333367W9/2+PNAQAAHCzsIy4dHR2HfarI4/GoT58+PdYUAADAkYQdXEaMGKH77rtPTU1NkqTGxkbdd999ys3N7fHmAAAADhb2qaLCwkJNmzZNubm5SkpK0t69e/Wb3/xGL774YiT6AwAA6BJWcHEcR21tbfrPf/6jiooK1dbWqrq6Wn/5y1/k9Xoj1SMAAICkME4VNTU16brrrtOjjz6q2NhYjRw5UiNHjtSzzz6rqVOndp06AgAAiJRuB5d///vf6tOnj+6///6uZQMGDNAHH3ygtrY2vfDCCxFpEAAAoFO3g8vq1av10EMPHXaV3AEDBuj+++/XqlWrerw5AACAg3U7uNTW1uq000474rozzzxTP/zwQ481BQAAcCTdDi6JiYmqr68/4rq9e/fK7/f3WFMAAABH0u3gMmrUKJWUlBxx3euvv65zzz23p3oCAAA4om5/HPrmm2/WxIkTVV9fryuvvFIpKSn6/vvv9c477+iNN97QkiVLItknAABA94PLr3/9a7388su69957VVJSIo/HI8dxlJ6erpdeeklnn312JPsEAAAI7wJ0w4cPV2lpqXbt2qW6ujqlpKRo0KBBkeoNAAAgRNiX/JekoUOHaujQoT3dCwAAwDGFfZNFAAAAUwguAADAGgQXAABgDYILAACwBsEFAABYg+ACAACsQXABAADWILgAAABrEFwAAIA1CC4Auu1kfx91dDhGezBdH4BZP+uS/wB6p4S+sYqJ8eiZ96tUXd/sev3B/f26LS/N9boAogfBBUDYquubtaO20XQbAHohThUBAABrGAkuW7du1bRp05Sbm6vRo0dr1qxZqqurkyRt3rxZBQUFys7OVl5enpYtW2aiRQAAEIVcDy7BYFA33nijsrOz9emnn2rlypXau3ev/u///k8NDQ2aPn26JkyYoA0bNqi4uFhz587Vli1b3G4TAABEIdeDy+7duzVs2DDdeuutiouLU//+/XXttddqw4YNKisrU1JSkqZMmaLY2FiNGjVK+fn5KikpcbtNAAAQhVx/c+4ZZ5yhhQsXhixbvXq1zjrrLFVVVSk9PT1kXWpqqpYvXx52nfb29l/UJ47M6/Ue+IPjyJHHWB+O4U/Eul7/kIKmn7/pHtz8991Zi32Ku5i7OaZm3916Rj9V5DiOFixYoA8++EBLlizRa6+9Jr/fH7KNz+dTU1NT2I9dWVnZU23iR36/X5mZmZKkQKP7nygJBhN+/BpUIBDodfWlRMP1zc+gKf5AWN62bZuam939ODb7FDOYuznROntjwSUQCOiuu+7S559/riVLligjI0N+v1/79u0L2S4YDCohISHsx8/Kyvrp6AB6XGJCguRx94iLz+f/8atPiYnu/xZmtP5BhzdMPf8Dtc3+HcTHx0uSMjIyXKvZ3t6uyspK9ikuY+7mmJp9Z93jMRJcdu7cqZtuukmDBg3S8uXLlZycLElKT0/XZ599FrLt9u3blZYW/gWnvF4vL/ZI8njczi2HljfK7fqHnpYz/fxN92Di3zb7FDOYuznROnvX35zb0NCgG264QcOHD9fLL7/cFVokacyYMaqpqdHixYvV2tqq8vJylZaWatKkSW63CQAAopDrR1zefPNN7d69W++8845WrVoVsm7Tpk1atGiRiouL9fTTTys5OVlFRUUaOXKk220CAIAo5HpwmTZtmqZNm3bU9VlZWVq6dKmLHQEAAFtwyX8AAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGgQXAABgDYILAACwBsEFAABYg+ACAACsQXABAADWILgAAABrEFwAAIA1CC4AAMAaBBcAAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguADAcfj9ftMtAPgRwQWANU7291FHh+NqTa/Xq8zMTHm9XklyvT6AULGmGwCA7kroG6uYGI+eeb9K1fXNrtVtampSfHy8Bvf367a8NNfqAjgcwQWAdarrm7WjttGVWo4jBQIBJSZypAWIBpwqAgAA1iC4AAAAaxBcAACANQguAADAGgQXAABgDYKLZaLhGhIxHo/pFgAAvRQfh7aMiWtYdDp3aJL+kPsrieACADCE4GIhN69hcbBBSVz2HABgFqeKAACANQguAADAGgQXAABgDYILAACwBsEFAABYg+ACAACsQXABAADWILgAAABrEFwAAIA1CC4AAMAaBBcAAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsAbBBQAAWIPgAgAArGE0uNTV1WnMmDFat25d17LNmzeroKBA2dnZysvL07Jlywx2CAAAoomx4PK///1P1157rXbu3Nm1rKGhQdOnT9eECRO0YcMGFRcXa+7cudqyZYupNgEAQBQxElxWrFihmTNn6vbbbw9ZXlZWpqSkJE2ZMkWxsbEaNWqU8vPzVVJSYqJNAAAQZWJNFL3ggguUn5+v2NjYkPBSVVWl9PT0kG1TU1O1fPnysGu0t7f/4j6jkdfrlSQ5juFGHEeOPCbLG+V6/UMKmn7+0dCDa/U7Cx1U8ETdv0STzhkza/eZmn136xkJLikpKUdc3tjYKL/fH7LM5/Opqakp7BqVlZU/q7do5vf7lZmZqaamJgUCAdfrB4MJXX8ONDYaqx8MBo0+f1P1pUTD9c3PwGT9QGOjmhIOHKTetm2bmpubXa3fW52I+3JbROvsjQSXo/H7/dq3b1/IsmAwqISEhKP8xNFlZWV1HZ040cTHxysx0f1fd32+n0JlYkKC5HH3iEtnfZ/Pp8RE938LM1r/oN/2TT3/A7V74d+B4yjQ2KjEhATFx8dLkjIyMtyp3Yu1t7ersrLyhN6XRytTs++sezxRFVzS09P12WefhSzbvn270tLSwn4sr9d7Qr/YXc4MR2zAZA+mn7/b9Q89LWf6+UdDD27V75r9QQVP5H1LtDnR9+XRLFpnH1XXcRkzZoxqamq0ePFitba2qry8XKWlpZo0aZLp1gAAQBSIquDSv39/LVq0SKtWrdKIESNUVFSkoqIijRw50nRrAAAgChg/VbRt27aQ77OysrR06VJD3QAAgGgWVUdcAAAAjoXgAgDddLK/jzo6zF7AxnR9wDTjp4oAwBYJfWMVE+PRM+9Xqbre/eu4DO7v12154X/KEjiREFwAIEzV9c3aUev+RRgBcKoIAABYhOACAACsQXABAADWILgAAABrEFwAAIA1CC4AAMAaBBcAAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXADAEif7+6ijwzHag+n6AHeHBgBLJPSNVUyMR8+8X6Xq+mbX6w/u79dteWmu1wUORnABAMtU1zdrR22j6TYAIzhVBAAArEFwAQAA1iC4AAAAaxBcAABRye/3m24BUYjgAgDoFjc/ju31epWZmSmv13vYOj6S3bvxqSIAQLe4/XHspqYmxcfHhyzjI9kguAAAwuLGx7EdRwoEAkpMdOTxRLQULMOpIgAAYA2CCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGgQXAABgDYILAACwBsEFAABYg+ACAABC+P1+0y0cFcEFAACLdHQ4EX18r9erzMxMeb1eI/WPh7tDAwBgkZgYj555v0rV9c0Rq9HU1KT4+PjDlg/u79dteWkRq9sdBBcAACxTXd+sHbWNEXlsx5ECgYASEx15PBEp8YtwqggAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcwmD6Vt4A0Nud7O9jfF9sun5vx92hw+DGrcSP5dyhSfpD7q+M1AaAaJDQN9bovrhzP2y6fm9GcAlTJG8lfjyDkvxG6gJAtDG1L+7cD5uu35txqggAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsEZUBpfa2lrdcsstysnJ0YgRI1RcXKy2tjbTbQEAAMOiMrj885//VHx8vD755BMtX75ca9eu1eLFi023BQAADIu6S/5/8803Wr9+vT7++GP5/X4NHTpUt9xyi+bPn68bb7zxuD/vOAduftXS0iKv19ujvXm9Xv0qyadYj5kbbJ3ar4/a29uN9dBZ//QBfiX62iWPx0h908/fSH3H0f87yWf0+Uu99O/AcdSc6JHf5+udz99U/YPmfvC+plfNwFT9o8xekgadfGA/1N7e3uNlOx+z8//jR+NxjreFy959913NmTNH69at61q2bds2/e53v9OGDRt00kknHfPnW1paVFlZGek2AQBABGRlZSkuLu6o66PuiEtjY6P8/tCbSHV+39TUdNzgEhsbq6ysLMXExMjj8hEBAADw8ziOo46ODsXGHjuaRF1wiY+PV3Nz6K3CO79PSEg47s/HxMQcM6kBAAB7Rd2bc9PS0rR3717V1NR0Lfvqq6906qmnql+/fgY7AwAApkVdcDn99NN13nnn6eGHH1YgENCuXbv03HPPafLkyaZbAwAAhkXdm3MlqaamRg888IDWrVunmJgYTZgwQTNnzuzxTwkBAAC7RGVwAQAAOJKoO1UEAABwNAQXAABgDYILAACwBsEFAABYg+CC46qrq9OYMWNCbsOwefNmFRQUKDs7W3l5eVq2bJnBDk8sW7du1bRp05Sbm6vRo0dr1qxZqqurk8TcI23t2rUqKCjQ8OHDNXr0aD344IMKBoOSmL0b2tvbNXXqVM2ePbtrGXOPnLfffluZmZnKzs7u+q+wsFBSlM/dAY6hoqLCueyyy5z09HSnvLzccRzH2bt3r5Obm+ssWbLEaW1tddasWeNkZ2c7mzdvNtyt/Zqbm53Ro0c7Tz31lLN//36nrq7Ouemmm5ybb76ZuUdYbW2tk5WV5bzxxhtOe3u7s2fPHmf8+PHOU089xexdsmDBAmfYsGHOnXfe6TgO+5pImzdvnjN79uzDlkf73DnigqNasWKFZs6cqdtvvz1keVlZmZKSkjRlyhTFxsZq1KhRys/PV0lJiaFOTxy7d+/WsGHDdOuttyouLk79+/fXtddeqw0bNjD3CEtOTtaaNWs0ceJEeTwe7d27V/v371dycjKzd8HatWtVVlamsWPHdi1j7pFVWVmps88++7Dl0T53gguO6oILLtB///tfXXnllSHLq6qqlJ6eHrIsNTVVW7dudbO9E9IZZ5yhhQsXhlxscfXq1TrrrLOYuwsSExMlSRdffLHy8/OVkpKiiRMnMvsIq62t1Zw5c/T444+H3GSXuUdOR0eHPv/8c3344Ye69NJLddFFF+nuu+9WQ0ND1M+d4IKjSklJOeJdOo90B2+fz6empia3WusVHMfRk08+qQ8++EBz5sxh7i4qKyvTxx9/rJiYGM2YMYPZR1BHR4cKCws1bdo0DRs2LGQdc4+curo6ZWZmaty4cXr77be1dOlS7dixQ4WFhVE/d4ILwub3+7vesNgpGAx26+7d6J5AIKAZM2aotLRUS5YsUUZGBnN3kc/n0ymnnKLCwkJ98sknzD6CXnjhBcXFxWnq1KmHrWPukTNw4ECVlJRo8uTJ8vv9GjRokAoLC/Xxxx/LcZyonjvBBWFLT09XVVVVyLLt27crLS3NUEcnlp07d2rSpEkKBAJavny5MjIyJDH3SNu4caMuv/xytbS0dC1raWlRnz59lJqayuwj5K233tL69euVk5OjnJwcrVy5UitXrlROTg6v+QjaunWrHnvsMTkH3fWnpaVFMTExOuecc6J67gQXhG3MmDGqqanR4sWL1draqvLycpWWlmrSpEmmW7NeQ0ODbrjhBg0fPlwvv/yykpOTu9Yx98jKyMhQMBjU448/rpaWFlVXV+uRRx7R5MmTNW7cOGYfIatWrdLGjRtVUVGhiooKjR8/XuPHj1dFRQWv+QhKSkpSSUmJFi5cqLa2Nu3evVvz58/X1VdfHfWvd26yiG7JyMjQa6+9phEjRkg68G704uJiffnll0pOTtYtt9yiiRMnGu7Sfq+88ormzZsnv98vj8cTsm7Tpk3MPcK2b9+uhx9+WJWVlerXr5/y8/O7PuHF7N3ReQ2XefPmSWJfE0nr16/XE088oS+//FJ9+/bVVVddpcLCQvXt2zeq505wAQAA1uBUEQAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGgQXAD1m//79+u6777q17Y4dOyLbDIATEsEFQI+5/vrrtWbNmuNu98UXX2j8+PHdfty8vDy9+eab3do2IyND69atO+K6iooKZWdnS5K+/fZbZWRk6Ntvvz3uzwGIHgQXAD2mvr6+W9vt27dPra2tEe7mcDk5Odq0aZPrdQH0HIILgB7x5z//Wbt379a9996rBx54QBUVFZoyZYpycnKUl5enBQsWqKWlRbt27dJNN90kScrOztamTZsUCARUVFSksWPH6txzz9WFF16o559//mf38umnn+qKK67QiBEjNGPGDP3www+SpHXr1nXdbRuAnQguAHrEokWLNGjQIN1///364x//qGnTpmns2LFas2aNXnnlFb3//vt69NFHNXToUL300kuSDtw4Mjs7W4899pi+/fZbLV++XJs2bVJRUZGefPJJffPNNz+rl48++kgLFy7Ue++9p9bWVs2cObMnnyoAgwguAHpcaWmpMjIydMMNNyguLk6nnXaa7rjjDi1btkwdHR2HbX/bbbdpwYIFSkxM1Hfffae+fftKkr7//vufVX/GjBkaPHiwEhMTNWvWLJWXl2vPnj2/6DkBiA6xphsAcOKpra3V0KFDQ5YNGTJEwWBQtbW1R9y+uLhYX3zxhYYMGaKzzz5bko4YcrpjyJAhXX8eNGiQJBFcgBMER1wA9LjBgwdr586dIct27typuLg4nXzyyYdt/49//ENnn3221q5dqxUrVuhf//rXL6p/8JGaXbt2SQoNMwDsRXAB0GPi4uK0b98+XXXVVfrqq6/06quvqqWlRTt37tQTTzyh/Px8xcXFdZ0K2rdvX9dXn88nr9eruro6PfTQQ5L0sz959Mwzz2jPnj1qaGjQvHnzNHbsWCUnJ/fMkwRgFMEFQI+ZPHmynnzySS1YsEALFy7U6tWrdf755+v666/X6NGjdc8990iS0tPTdd555+nCCy/URx99pLlz5+rtt9/W8OHDNXHiRJ1yyinKzMzUl19++bP6uPDCC3XNNddo7NixGjhwoIqLi3vyaQIwyOM4jmO6CQAAgO7giAsAALAGnyoCYI2JEyfq66+/Pur6l156STk5OS52BMBtnCoCAADW4FQRAACwBsEFAABYg+ACAACsQXABAADWILgAAABrEFwAAIA1CC4AAMAaBBcAAGCN/w9Fl35MfUtlIQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusummien jakauma.\n",
    "sns.histplot(tips, x='total_bill')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='Count'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Itse määritellyt luokkarajat.\n",
    "sns.histplot(tips, x='total_bill', bins=[0, 10, 20, 30, 40, 50, 60])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Määrällisten muuttujien histogrammit.\n",
    "maaralliset = ['total_bill', 'tip', 'size']\n",
    "fig, axs = plt.subplots(1, 3, figsize=(12, 3)) # Kolmen kaavion kokoelma\n",
    "for i, muuttuja in enumerate(maaralliset):\n",
    "    sns.histplot(tips, x=muuttuja, ax=axs[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**histplot** sopii käytettäväksi **displot**-funktion yhteydessä (`kind=hist`). Tällöin voit esittää useita histogrammeja kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.displot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x249c28f0910>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tipin jakaumat tupakoinnin ja ajan mukaan.\n",
    "sns.displot(tips, x='tip', row='smoker', col='time', kind='hist', height=2.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### barplot\n",
    "\n",
    "Sopii keskiarvojen esittämiseen. Musta viiva havainnollistaa virhemarginaalin (luottamusväli): https://seaborn.pydata.org/generated/seaborn.barplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='tip'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri päivien tippien keskiarvot.\n",
    "plt.figure(figsize=(4, 3))\n",
    "sns.barplot(tips, x='day', y='tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x249c2d92210>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Yg/YdPRH07dpaXerxd8uf156UNyo66PNcndg96NsMN5xmAgAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAiCjhcq+ecNkPIBi4nQGAiBIO9+oZ2LuHHr8rO+jbBUxFmAEQcUy/Vw8AX5xmAgAARrMszOzYsUN33nmnhg0bppEjR2rx4sVyOp1nHbtt2zbl5uYqPT1d48aN05YtWzq5WgAAEKosCTMnTpzQ/fffr1/+8pfatWuXysvLVVVVpZdeeqnd2EOHDqmoqEizZ8/Wrl27VFRUpDlz5qiurs6CygEAQKixJMz06tVLH330kSZOnCibzaaTJ0/qhx9+UK9evdqNLS8vV2ZmpsaMGaOoqCiNHz9eI0aM0Nq1ay2oHAAAhBrL3gDcrVs3SdLNN9+suro6ZWZmauLEie3GHTx4UEOHDvVZN3jwYO3bty+g+dxu98UXG0Q/rcPtdodMbQi+cOl3uOyHJDkcDqtLCJqO6gH9Rkfy97UUyGvO8k8zvfPOO2poaNDcuXM1a9YsrVixwufx06dPKy4uzmddbGysmpqaApqnpqbmkmsNhubmZp/lmpqadvuH8BEu/Q6X/YiLi1NqaqrVZQTN/v372/UmGOg3OlJHvG4tDzOxsbGKjY3VvHnzdOedd6qhoUE9evztw41xcXHt3hjsdDoVHx8f0DxpaWkhkdAbGxt9ltPS0tqOUiH8hEu/w2U/wk1ycnKHbJd+oyP5+7p1u91+H4iwJMx8+umnWrBggTZs2KDo6B+vweByudSlS5d26X/o0KHas2ePz7qDBw/q2muvDWhOh8Phd5hxezxy2Dvm7UQ/rSGQugLVkfsB/3RmvztSuOxHuOmoHtBvdKSOeC1ZEmaSk5PldDr19NNP64EHHtB3332nJUuWqKCgoC3cnJGXl6eXX35ZmzZt0m233aZ33nlHVVVVWrhwYYfVxxVC/VNaWqqKigrl5+drxowZHToXAADnYkmYiY+P14oVK/Tkk09q5MiRuuyyy5Sbm9v2D2JGRoZKSkqUl5enpKQklZaWaunSpVq4cKH69++vZcuWaeDAgR1aI1cIPT+n06mKigp5PB5VVFTo3nvvVWxs8EMZAAAXYtl7ZgYPHqxVq1ad9bHq6mqf5ezsbGVncx+SUNLa2irP/93ozuPxqLW11eKKAACRijdUAAAAoxFmAACA0QgzAADAaIQZAAAugtdul1e2H7+XTV4uhWEZfvIAAFwMe5RciSnyyiZXYopkt/w6tBGLnzwAABepeUCWmgdkWV1GxOPIDAAAMBphBgAAGI0wAwAAjEaYAQAggjlsXtnklSTZ5ZXD5rW4osARZgAAiGAxDmlM/2bZ5dWt/ZsVY+AN0vk0EwAAEe6uwY26a3Cj1WVcNI7MAIBhrrgsVl6P2+oygiJc9gPW4sgMABjmstho2ewO1a97SC31XwZ9+6ddHp/lb1dPVXx08P/v2yVhkBImPhX07SLyEGaAMOH1uGWzG3iy+yfCZT86Q0v9l2r59s9B325rq01S4t+Wjx1QS5R5bwpF5CDMAGGC/6kDiFSEGSCM8D91AJGINwADAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYRz+3xXHgQACBk8dFsRDyH3a5HXtuur441BH3bnhanz/J9v9sse5fYoM9zY/KVmjFuWNC3CwAmIMwAkr461qB9R08Efbu2Vpd6/N3y57Un5Y2KDvo8Vyd2D/o2AcAUnGYCAABGI8wAAACjEWYAAIDRCDMAECReu11e2X78XjZ57fyJBToDv2kAECz2KLkSU+SVTa7EFMnOZyyAzsBvGgAEUfOALDUPyLK6DCCicGQGAAAYjTATpq64LFZej9vqMoIiXPYDANAxOM0Upi6LjZbN7lD9uofUUv9l0Ld/2uV7C4BvV09VfHTws3GXhEFKmPhU0LcLAAgfhJkw11L/pVq+/XPQt9vaapOU+LflYwfUEuUN+jwAAFwIp5kAAIDRLDkys2/fPi1ZskR79uxRly5dNHLkSD300EPq1atXu7HTp0/Xzp07FRX1t1Kfe+453XTTTZ1ZMgAACFGdfmTG6XRq+vTpysjI0IcffqiNGzfq5MmTWrBgwVnH7969WytXrlR1dXXbF0EGAACc0elHZmpra5WSkqIZM2bI4XAoOjpakydP1vz589uNPXLkiBoaGpSamnrJ87rd/n8ixuFwXPJ853LmCqE2eblCaAAC6V+gOrLfuDj0O7LQ78jib78DeV10epgZNGiQVqxY4bPu7bff1jXXXNNubE1NjeLj41VcXKyamholJCRo6tSpKigoCHjempoav8bFxcUFJTyd0/9dITT6u31cITQA+/fvV3Nzc9C32+H9xkWh35GFfkeWjui3pf+Ser1ePfvss9qyZYvWrFnT7nGXy6X09HQVFxdryJAh2rlzp4qKihQfH69x48YFNFdaWlrIJHSuEBq45ORkq0tAJ6LfkYV+RxZ/++12u/0+EGFZmGlsbNTDDz+sPXv2aM2aNWfdufz8fOXn57ctjxo1Svn5+aqsrAw4zDgcjpAJMwgcvYss9Duy0O/I0hH9tuQNG4cPH9akSZPU2NiosrKyc6a0srIyVVZW+qxzuVyKiYnpjDIBAIABOj3MNDQ0aMqUKRo2bJhWrlx51o9jn9HY2KjFixdr79698ng82rp1qzZu3KjJkyd3YsUAACCUdfpppnXr1qm2tlaVlZXavHmzz2PV1dXKyMhQSUmJ8vLyNGXKFDU1NWnmzJk6fvy4BgwYoCVLligzM7OzywYAACGq08PMtGnTNG3atHM+Xl1d3fa9zWZTYWGhCgsLO6M0AABgIC5yAgAAjEaYAQAARiPMAAAAoxFmAACA0QgzAAAfDptXNnklSXZ55bB5La4IOD/CDADAR4xDGtO/WXZ5dWv/ZsVwgV6EOO5yCABo567BjbprcKPVZQB+4cgMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMIOLwo3oAAChgjCDi8KN6AAAoYIbTeKicSO6yHHmSJxXNo7EAQg5HJkBcEEciQMQyjgyA8AvHIkDEKo4MgMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjHbRYaalpUX19fVyu93BrAcAACAgAYeZ06dP68EHH1RmZqays7OVmZmpRYsWyeVydUR9AAAA5xVwmCkpKdGhQ4e0fPlyvfXWW3r22Wf1pz/9SUuXLu2I+gAAAM4r4BtNbtmyRZs3b9YVV1whSRo0aJBSUlI0YcIELViwIOgFAibz2u3yyiabvPLKJq+dt6kBQLAF/Jc1JiZGDofDZ118fLzi4uL83sa+ffs0bdo0ZWVlaeTIkZo/f75OnDhx1rHbtm1Tbm6u0tPTNW7cOG3ZsiXQkgHr2KPkSkyRVza5ElMkOzeqB4BgCzjM/PrXv9asWbO0b98+NTc369ChQ3r44Yc1fvx41dbWtn2di9Pp1PTp05WRkaEPP/xQGzdu1MmTJ896VOfQoUMqKirS7NmztWvXLhUVFWnOnDmqq6sLtGzAMs0DstQw7F/VPCDL6lIAICwF/N/Exx9/XJKUn58vm80mr9fb9tiqVavk9Xpls9n05z//+azPr62tVUpKimbMmCGHw6Ho6GhNnjxZ8+fPbze2vLxcmZmZGjNmjCRp/PjxWrdundauXatZs2YFWjoAAAhDAYeZ999//5ImHDRokFasWOGz7u2339Y111zTbuzBgwc1dOhQn3WDBw/Wvn37Ap43kI+Q//Q0GqzXkZcAoN+hh35HFvodWfztdyCvi4DDTP/+/QN9yjl5vV49++yz2rJli9asWdPu8dOnT7d7L05sbKyampoCnqumpsavcXFxcUpNTQ14++hY+/fvV3Nzc9C3S79DE/2OLPQ7snREv/0OM8OGDdOnn36qlJQU2Ww2n8e8Xq/sdrv27t3r98SNjY16+OGHtWfPHq1Zs0bJycntxsTFxcnpdPqsczqdio+P93ueM9LS0kjoBjvb6wPhi35HFvodWfztt9vt9vtAhN9h5qWXXpIkDRkyRP/xH//h85jX69WDDz7o76Z0+PBh3XfffbryyitVVlamXr16nXXc0KFDtWfPHp91Bw8e1LXXXuv3XGc4HA7CjMHoXWSh35GFfkeWjui3X59mqqur0zfffKOKigodPnzY51NLtbW1OnDggBoaGvyasKGhQVOmTNGwYcO0cuXKcwYZScrLy1NVVZU2bdqk1tZWbdq0SVVVVZowYYJ/ewcAAMKeX0dmLr/8cq1Zs0YnTpyQy+XS888/7/N4TEyMZs6c6deE69atU21trSorK7V582afx6qrq5WRkaGSkhLl5eUpKSlJpaWlWrp0qRYuXKj+/ftr2bJlGjhwoJ+7BwAAwp1fYSY6OlplZWWSpHvvvVcrV6686AmnTZumadOmnfPx6upqn+Xs7GxlZ2df9HwAACC8BXzRvEsJMgAAAMHGjWIAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTLw8yJEyc0duxY7dy585xjpk+frrS0NGVkZLR9ffDBB51YJQAACFVRVk7+ySef6KGHHtLhw4fPO2737t1auXKlsrKyOqkyAABgCsvCTHl5uZ5//nnNmzdPxcXF5xx35MgRNTQ0KDU19ZLmc7vdfo91OByXNBeCL5D+BYp+hx76HVnod2Txt9+BvC4sCzOjRo1Sbm6uoqKizhtmampqFB8fr+LiYtXU1CghIUFTp05VQUFBQPPV1NT4NS4uLu6SgxOCb//+/Wpubg76dul3aKLfkYV+R5aO6LdlYSYxMdGvcS6XS+np6SouLtaQIUO0c+dOFRUVKT4+XuPGjfN7vrS0NBK6wZKTk60uAZ2IfkcW+h1Z/O232+32+0CEpe+Z8Ud+fr7y8/PblkeNGqX8/HxVVlYGFGYcDgdhxmD0LrLQ78hCvyNLR/Tb8k8zXUhZWZkqKyt91rlcLsXExFhUEQAACCUhH2YaGxu1ePFi7d27Vx6PR1u3btXGjRs1efJkq0sDAAAhICRPM2VkZKikpER5eXmaMmWKmpqaNHPmTB0/flwDBgzQkiVLlJmZaXWZAAAgBIREmNm/f7/PcnV1ddv3NptNhYWFKiws7OyyAACAAUL+NBMAAMD5EGYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiWh5kTJ05o7Nix2rlz5znHbNu2Tbm5uUpPT9e4ceO0ZcuWTqwQAACEMkvDzCeffKLJkyfr8OHD5xxz6NAhFRUVafbs2dq1a5eKioo0Z84c1dXVdWKlAAAgVFkWZsrLyzV37lwVFxdfcFxmZqbGjBmjqKgojR8/XiNGjNDatWs7qVIAABDKoqyaeNSoUcrNzVVUVNR5A83Bgwc1dOhQn3WDBw/Wvn37AprP7Xb7PdbhcAS0bXS8QPoXKPodeuh3ZKHfkcXffgfyurAszCQmJvo17vTp04qLi/NZFxsbq6ampoDmq6mp8WtcXFycUlNTA9o2Ot7+/fvV3Nwc9O3S79BEvyML/Y4sHdFvy8KMv+Li4uR0On3WOZ1OxcfHB7SdtLQ0ErrBkpOTrS4BnYh+Rxb6HVn87bfb7fb7QETIh5mhQ4dqz549PusOHjyoa6+9NqDtOBwOwozB6F1kod+RhX5Hlo7ot+Ufzb6QvLw8VVVVadOmTWptbdWmTZtUVVWlCRMmWF0aAAAIASEZZjIyMrRhwwZJUlJSkkpLS/Xiiy9qxIgRWr58uZYtW6aBAwdaXCUAAAgFIXGaaf/+/T7L1dXVPsvZ2dnKzs7uzJIAAIAhQvLIDAAAgL8IMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwmmVh5vjx4yosLFRmZqZuuOEGPfHEE2ptbT3r2OnTpystLU0ZGRltXx988EEnVwwAAEJRlFUTz5kzR3369NH27dtVX1+v3/zmN1q9erWmT5/ebuzu3bu1cuVKZWVlWVApAAAIZZaEma+//lpVVVX64IMPFBcXpwEDBqiwsFC//e1v24WZI0eOqKGhQampqZc0p9vt9nusw+G4pLkQfIH0L1D0O/TQ78hCvyOLv/0O5HVhSZj5/PPP1bNnT/Xp06dtXVJSkmpra3Xq1Cl17969bX1NTY3i4+NVXFysmpoaJSQkaOrUqSooKAhozpqaGr/GxcXFXXJwQvDt379fzc3NQd8u/Q5N9Duy0O/I0hH9tiTMnD59WnFxcT7rziw3NTX5hBmXy6X09HQVFxdryJAh2rlzp4qKihQfH69x48b5PWdaWhoJ3WDJyclWl4BORL8jC/2OLP722+12+30gwpIw07Vr13ap7MxyfHy8z/r8/Hzl5+e3LY8aNUr5+fmqrKwMKMw4HA7CjMHoXWSh35GFfkeWjui3JZ9mGjJkiE6ePKn6+vq2dV988YX69u2ryy67zGdsWVmZKisrfda5XC7FxMR0Sq0AACC0WRJmrr76ag0fPlxPPvmkGhsbdeTIES1fvvys74NpbGzU4sWLtXfvXnk8Hm3dulUbN27U5MmTLagcAACEGss+mv38889r0aJFuvXWW2W325Wfn6/CwkJJUkZGhkpKSpSXl6cpU6aoqalJM2fO1PHjxzVgwAAtWbJEmZmZVpUOAABCiGVhJiEhQc8///xZH6uurm773mazqbCwsC3oAAAA/D1uZwAAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAo1kWZo4fP67CwkJlZmbqhhtu0BNPPKHW1tazjt22bZtyc3OVnp6ucePGacuWLZ1cLQAACFWWhZk5c+aoa9eu2r59u8rKyrRjxw6tXr263bhDhw6pqKhIs2fP1q5du1RUVKQ5c+aorq6u84sGAAAhx5Iw8/XXX6uqqkrz5s1TXFycBgwYoMLCQr366qvtxpaXlyszM1NjxoxRVFSUxo8frxEjRmjt2rUWVA4AAEJNlBWTfv755+rZs6f69OnTti4pKUm1tbU6deqUunfv3rb+4MGDGjp0qM/zBw8erH379vk1l9frlSS5XC45HA6/nuNwODSkbw9FO2x+jQ9FA66Il9vtliNxqDz2aKvLuWiOK66W2+2W2+3uuDnod8ig3/6h3wHMQb9DRqD9PjPuzL/j52NJmDl9+rTi4uJ81p1Zbmpq8gkzZxsbGxurpqYmv+byeDySpL179wZUY+6QrtKQrgE9J9R89tln0lX/T7rK6kouzZHPPuvwOeh36KDf/qHf/qPfoeNi+n3m3/HzsSTMdO3aVc3NzT7rzizHx8f7rI+Li5PT6fRZ53Q62407l6ioKKWlpclut8tmMzeZAwAQSbxerzwej6KiLhxVLAkzQ4YM0cmTJ1VfX6+EhARJ0hdffKG+ffvqsssu8xk7dOhQ7dmzx2fdwYMHde211/o1l91uV3S0uYflAADA+VnyBuCrr75aw4cP15NPPqnGxkYdOXJEy5cvV0FBQbuxeXl5qqqq0qZNm9Ta2qpNmzapqqpKEyZMsKByAAAQamxef95Z0wHq6+u1aNEi7dy5U3a7Xfn5+Zo7d64cDocyMjJUUlKivLw8SdL27du1dOlSHT58WP3799e8efN08803W1E2AAAIMZaFGQAAgGDgdgYAAMBohBkAAGA0wgwAADAaYQYAwswPP/ygb7/91uoygE7DG4AN8Oijj+rNN9+UJLW2tqqlpcXnqsjXXXed+vXrp6eeesqqEtFJcnJy9N1337W7iFRGRoZWrVrls662tlZ33HGH3nrrLV155ZWdWSYuUUNDg5555hlt2bJFDQ0N6tatm0aOHKni4mL17dv3gs+fNGmS/uVf/kUTJ07shGpxsS61z/gbjswYYNGiRaqurlZ1dbVKSkp05ZVXti1XV1erX79+VpeITlRSUuLT/+rq6nZBRlLb64QgY57i4mJ9//33Kisr02effaaKigq5XC5NmzZNra2tF3z+999/3wlV4lJdap/xN4SZMHH8+HHNmjVLN9xwg0aNGqU1a9a0PZaTk6N169a1Le/cuVPJycmSpG+++UbJycl66qmnNGLECJWUlHR67QiOe+65Rw899JBuueUWjR49Wvv371dycrK++eYbq0tDgD755BONHTtWiYmJkqSEhAQtWLBA119/vU6dOqUvvvhC999/v0aPHq3rrrtO48eP15YtWyRJv/rVr1RbW6vHHntMixYtsnI3cAEX6rM/f7vfeOMN5eTkaPjw4Zo2bVrEnl605HYGCL6PP/5YL774op577jlVVFTo4Ycf1tixY33uTH4+p0+f1h/+8Id298GCWT766CO98cYbiouL06lTp6wuBxfpjjvu0GOPPaZdu3YpKytL119/vfr37992Kvnuu+/WrbfeqhdeeEFer1dLly7Vf/7nf+qWW27RqlWrlJOTo5kzZ3KaKcRdqM/+2Lp1q88RneXLl0dkiOXITJgYOXKkbrzxRtlsNt1xxx3yer06cuSI38/Pz89XdHS0zx3LEZpKSkqUmZnp83XmLvI33XST+vTpQx8N9/jjj+vRRx/VX/7yFz366KPKycnR2LFjtWHDBknSiy++qKKiInm9Xh09elTdu3dXXV2dxVUjUBfqsz/uu+8+de/eXQkJCcrJydGhQ4c6ruAQxpGZMNGzZ8+278/cWNPtdvv9/N69ewe7JHSQxx577Jz/46aP4cFut2vChAmaMGGCvF6vvvjiC61fv17z589XYmKiGhsbVVhYqO+++05JSUnq1auX+CyHeS7UZ3+cuVmzJEVFRUXs64AjMxHAbrerpaWlbflsbw602WydWRI6CH003/bt25WRkaGTJ09K+rGngwcP1gMPPKDU1FR98sknmj17toqLi/Xxxx/r1Vdf1c9+9jNri0bALtTnvXv3+vW3Gz8izESApKQkvf/++3I6nfruu+/0yiuvWF0SgHMYMWKErrjiCj388MPav3+/Wlpa1NjYqA0bNujQoUMaM2aM3G532+UZDh48qNLSUkmSy+WS9OPR2b/+9a+W7QMu7EJ9Hj16NH+7A0CYiQBz587V6dOnNXLkSP3rv/5r293IAYSe2NhYvfbaa0pMTNRvfvMbZWZmavTo0dqwYYNefvllpaSkaP78+Zo3b56GDx+u2bNna9KkSerSpYsOHDggSSooKNAzzzyjuXPnWrw3OJcL9TkpKYm/3QHgonkAAMBoHJkBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAFghGXLlumee+6xugwAIYgwAwAAjEaYARCSPv30U02aNEnp6en6xS9+oW+++UaS5PV69dJLLyk3N1eZmZkaMWKEHnjgATmdTtXV1Sk1NVWffvpp23bq6+t1zTXX6PDhw1btCoAORpgBEHK+//573X///br99tv1xz/+UfPmzdN7770nSaqsrNQrr7yiZcuWadeuXXr99df14Ycf6s0331SfPn00cuRIrV+/vm1bGzZsUEZGhq666iqrdgdAByPMAAg5W7duVVxcnO677z516dJFw4cP16RJkyRJN910k8rKynT11VfrxIkT+v7779WzZ0/V1dVJkiZNmqTNmzfL5XJJksrLy9ueCyA8EWYAhJy6ujr169dPNputbd2ZIyter1fPPPOMsrKydNddd+nVV19VS0uLvF6vJCknJ0eStG3bNu3Zs0dHjx7V7bff3vk7AaDTRFldAAD8VN++fXX06FF5PB7Z7T/+n+vbb7+VJC1dulS1tbX63//9X3Xr1k2SlJub2/bc6Oho5ebm6q233tKVV16pcePGqWvXrp2/EwA6DUdmAIScnJwceb1eLVu2TC6XS7t379Ybb7whSWpsbFRMTIwcDod++OEHrVq1SgcOHFBLS0vb8wsKCrR9+3a9++67mjhxolW7AaCTEGYAhJzu3btr5cqV2rFjh7KysrRw4cK2U0Vz5syR0+nUjTfeqJycHH322WeaMGGCDhw40Pb8lJQUXXXVVbLb7Ro+fLhVuwGgk9i8Z040A0AYmTlzpq677jr927/9m9WlAOhgHJkBEFaOHDmid999Vx999BGnmIAIwRuAAYSVF154Qe+//74WLFighIQEq8sB0Ak4zQQAAIzGaSYAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGj/H5XRlKyasLwDAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri päivien tippien keskiarvot sukupuolen mukaan.\n",
    "sns.barplot(tips, x='day', y='tip', hue='sex')\n",
    "plt.legend(ncol=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**barplot** sopii käytettäväksi **catplot**-funktion yhteydessä (`kind='bar'`). Tällöin voit esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.catplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x249c2d93890>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmAAAAEiCAYAAABeE24qAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjYsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvq6yFwwAAAAlwSFlzAAAPYQAAD2EBqD+naQAAH11JREFUeJzt3XtwVOX9x/FPdiEQjYhABC9oFSUZaMCYBDoEgUQRCyKUUO1QY0VERBFELoFQESjtoENFjWBxAFFBO+UiYBmpSKFDK0QhtUYpEZliIKmBBAgEEzbZPL8/IvtrkEBu+5zN7vs1wwx7suec7/Mk+80n57IbZowxAgAAgDUupwsAAAAINQQwAAAAywhgAAAAlhHAAAAALCOAAQAAWEYAAwAAsIwABgAAYBkBDAAAwDICGAAAgGUEMASE6OhoZWVlOV2G5syZo6SkJBUXF9dYXllZqfvvv1/jxo0THx4BNE+B0mckKS0tTf3799eJEydqLD9y5Iiio6N15MgRhyqDLQQw4H/MnDlTHTp00MyZM2ssz8zMVFFRkZ5//nmFhYU5VB2AYPLtt98qPT2dP+pCFAEMF5WZman+/furV69eSk1N1bZt2yRJWVlZSklJ0bJly5SUlKT4+Hi9+OKL2rZtmwYNGqS4uDg99dRT8ng8kqTy8nK98MIL6t+/vxITE5WWlqbPP//8gvtcv369EhMT9emnn0qS8vLy9Pjjj6t3795KTk7WokWLfNtdv369RowYoUceeUQJCQl6//33f7C9uLi4C/6bPXv2D57bqlUrLVq0SJ9++qnefvttSdInn3yilStX6qWXXlLbtm0vWk9paakmT56s3r17KykpSWPGjNHBgwcb+V0Agluo9Zlzhg8fruzsbC1btqzW55w4cULPPvus+vbtq969e2vcuHE6dOhQneYVAc4Atdi1a5dJSkoyhYWFpqqqyrz77rumd+/exuPxmN27d5uuXbua3/3ud8bj8ZgdO3aYrl27mtGjR5uTJ0+avLw8k5iYaN577z1jjDHp6elm6NCh5tChQ+bs2bNm5cqVJi4uzuTn5xtjjOnatavZvXu3+dOf/mR+8pOfmM8//9wYY8yZM2dMcnKyWbhwoSkvLzcFBQVm5MiRZuHChcYYY9atW2e6du1q1q9fb86ePWvKysqaZOzr1683PXv2NPv27TPJyclm1apVdarn5ZdfNo8++qgpKyszZ8+eNenp6ebxxx9vkpqAYBSqfebBBx80r7zyitmyZYvp1q2b2bt3rzHGmMOHD5uuXbuaw4cP+5730EMPmaNHj5qysjKzYMEC079/f3P69OlG1wBnEcBQq+zsbPPjH//YZGZmmi+++MJUVlaaqqoqY4zxNcbi4mJjjDGVlZWma9eu5sMPP/StP2rUKJOZmWnKy8tN9+7dzY4dO2psPzU11SxdutQYU90Yp0yZYqKjo82//vUv33M2b95skpKSfPs1xpidO3eauLg4Y0x1Y+zevbvxer1NPv5p06aZHj16mGeeeabO9SxdutT07dvXvPvuuyYvL88vdQHBJFT7zLkAZowxc+fONf379zcnTpyoEcDy8vJM165dzYEDB3zrVVZWmqSkJPPnP/+5yWqBM1o4fQQOgSsuLk6ZmZl6++23tWzZMrVu3VppaWkaP3687zlXXXWVJMntdkuS2rRp4/uay+WSMUYlJSWqqKjQ9ddfX2P7119/fY0LTbOzs3XLLbdo3bp16tGjhyQpPz9fx48fV2Jiou95xhhVVFT4LpSPioqSy1X72fSEhIQLLr/33ns1Z86cWtebMGGCNm7cqEmTJvmWXaqesWPHKjw8XGvXrtW8efPUuXNnTZkyRXfffXet+wFCWaj3GUmaMWOGPvvsM82YMUOzZs3yLS8qKpIkde7c2bfM7XbrmmuuUX5+/kW3icBHAEOtCgoK1L59ey1fvlwej0e7du3ShAkT1L17d0VEREhSnS5I79Chg1q1aqXDhw+rS5cuvuV5eXlKSUnxPZ43b57atWun+++/X3feeaf69eunTp066YYbbtCWLVt8zystLVVxcbHatWtXpxr27NlTr3Gfc67Z/m/TvVQ9ubm5SklJ0cMPP6zTp0/rnXfe0eTJk7V7925dccUVDaoDCGah3mckKTw8XIsWLdKIESP0xhtv+JZfd911vjHceuutkiSv16uCggJFRUU1eH8IDFyEj1rl5OTo0Ucf1f79+xUeHq727dtL+v+/RuvK5XIpNTVVL774or755ht5PB69+eab+vrrrzVkyBDf81q2bKlu3brpscce06xZs1RSUqLk5GSdOXNGy5Ytk8fj0alTp5Senq7Jkyc7cjfipepZs2aNpk+fruLiYkVGRioyMlKXXXaZwsPDrdcKNAf0mWo33nijfvOb32j16tW+ZVdffbX69++v+fPn69ixYyovL9fChQvl9XqVnJxspS74DwEMtRo0aJAeeeQRjR8/XrfddpsmTZqkjIwM9ezZs97bmj59uvr27auHH35YvXv31gcffKDly5frpptu+sFzx48fr3bt2mnu3LmKjIzUypUrlZWVpX79+umuu+6Sy+XSa6+91hRDrLdL1fPMM8/oxhtv1JAhQ3T77bdr/fr1WrJkiVq1auVIvUCgo8/8v8GDB+uBBx6oseyFF15Q586d9bOf/Ux9+vRRbm6u3nzzTbVt29ZqbWh6YcbwBiQAAAA2cQQMAADAMgIYAACAZQQwAAAAywhgAAAAlhHAAAAALCOAAQAAWNbsApgxRl6vV7x7BoCmRG8BYFOzC2BVVVX67LPPVFVV5XQpAIIIvQWATc0ugAEAADR3BDAAAADLCGAAAACWEcAAAAAsI4ABAABYRgADAACwjAAGAABgGQEMAADAMgIYgCaxePFiDRw4UIsXL3a6FAAIeI4GMK/Xq7S0NM2YMcPJMgA0Unl5uTZs2KCqqipt2LBB5eXlTpcEAAHN0QD26quvas+ePU6WAKAJVFZW+j7Cp6qqSpWVlQ5XBACBzbEAtmvXLn344Ye6++67nSoBAADAES2c2GlxcbFmzZqlJUuWaOXKlQ3ahtfrbdqiADTY+a9Hr9fr2GvU7XY3an16C4ALaWxvOZ/1AFZVVaVp06Zp9OjRiomJafB2cnJymrAqAI1RVlZW43FOTo4iIiIcqSU+Pr5R69NbAFxIY3vL+awHsKVLlyo8PFxpaWmN2k5sbGyTp1EADVNaWlrjcWxsrCIjIx2qpnHoLQBssB7ANm7cqKNHjyohIUGSfHdLffTRR/W6IN/tdtMkgQBx/muxOb8+m3PtAJoP6wFsy5YtNR6fewuKBQsW2C4FAADAEbwRKwAAgGWO3AX5vzjyBQAAQg1HwAAAACwjgAEAAFhGAAMAALCMAAYAAGAZAQwAAMAyAhgAAIBlBDAAAADLCGAAAACWEcAAAAAsI4ABAABYRgADAACwjAAGAABgGQEMAADAMgIYAACAZQQwAAAAywhgDbB48WINHDhQixcvdroUAECQ4ndNcCOA1VN5ebk2bNigqqoqbdiwQeXl5U6XBAAIMvyuCX4EsHqqrKxUVVWVJKmqqkqVlZUOVwQACDb8rgl+BDAgBHi/b+TBItjGA6B2wXoqtoXTBQDwP7fLpV+/s1P/OVril+1XVdQ8PTL2tS1ytWztl33ddPWVmj/qDr9sG0BgOf9U7JgxY9S6tX96i20EMCBE/OdoifbnH/fLtsMqPbryfx4fKDgp0yLcL/sCEDqC+VQspyABAAAsI4ABjRSs1ycAAPyHAAY0AreKAwAaggAGNEIwX58AAPAfAhgAIKBwWh+hgAAGAAgYnNZHqCCAAQACBqf1ESoIYAAAAJYRwAAAACwjgKHBuFAWAICGIYChQbhQFgCAhiOAoUG4UBYAgIYjgAEAAFhGAAMAALCMAAYAAGAZAQwAADSI9/trgYOFzfG0sLYnAAAQVNwul379zk7952iJX7ZfVVHzDvuxr22Rq2Vrv+zrpquv1PxRd/hl2xdCAAMAAA32n6Ml2p9/3C/bDqv06Mr/eXyg4KRMi3C/7Ms2TkECAFBPnHpDYzl2BGzXrl168cUXdfDgQUVEROiee+7RtGnT1Lq1fw4tAkCgW7x4sTZs2KDhw4frySefdLocXASn3tBYjgSw48ePa9y4cZozZ46GDx+uoqIijRkzRq+//romTpzoREkA4KjzP11izJgx/EEa4Dj1hsZwJIC1a9dOH3/8sSIjI2WM0cmTJ3X27Fm1a9fOiXIAwHF8ugQQWhw7BRkZGSlJ6t+/vwoLC5WQkKARI0bUeX2v13vhL4SFye0KrkvbvFVVkjFOl1HD+fPv9Xpr/54EseYyD2632+kSmlxt89zYsTr1/WsuP0v+1lzmIZReUxcTSvPQ1GN1/C7IDz/8UCUlJZo6daomTpyoZcuW1Wm9nJycHyyLiIhQt27dgua8vPT/5+b37dunsrIyv+2nvs6vJScnRxEREQ5V45zmMA/nXhfBJjc394Kvifj4+EZt90K9xYbm8LNkQ3OYh1B7TdUm1Oahsb3lfI4HsNatW6t169aaNm2afv7zn6ukpERXXnnlJdeLjY2tNY0G43n56Ohov++jPkpLS2s8jo2N9R3VDCXMQzXjcskoTGEyMgqTsXAU2l+viYv1Fn/iZ6ka8+CcQPs94xRb8+BIAMvOzlZGRoY2bdqk8PDq8OLxeNSyZcs6/6XjdruD8tBnbQJtrOfXE2rfj3OYh++5WsgTFaPwY/vliYqRXP5vLf6aZ6e+h/wsVWMenMM8V7M1D45cLBUdHa3y8nL9/ve/l8fjUX5+vp5//nmNHDnSF8gANC9lnXup5PaHVNa5l9OlAEDAcySAXX755Vq2bJkOHDigpKQkpaWlqU+fPsrIyHCiHAAAAKscuwbslltu0YoVK5zaPQAAgGOC6/0agPME48drBOOYACDUOH4XJOBPwfRxIRIfGQIgtDhxh7UtBDAEvWB8WxIACAkO3GFtS/CMBAAABJ2yzr2C8u7q4DmWBwDwu2C8BjEYx4TAxxEwAECdcV0l0DQIYACAeuG6SqDxOAUJAABgGQEsSAXjNQ3BOCYAQGjiFGSQ4joNAAACFwEsiHGdBtB0vFVVcgfRm0BKwTmmYBHMb0CKagQwAKgDjirDqiB+A1JU4zsKAHXEUWXYFKxvQIpqHNMEAACwjAAGAABgGQEMAADAMgIYAACAZQSwejp3a7Akbg0GAAANQnqor+9vDTYK49ZgAADQIKSHBuDWYAAA0BgcAQMAALCMAAYAAGAZAQwAAMAyAhjQCNwVCwBoCH5bAI3BXbEAgAbgtwXQSNwVCwCoL46AAQAAWEYAA4AAwPWEQGjhFQ4AgYDrCYGQwiscAAIE1xMCoYMjYAAAAJY1OIBVVFSoqKhIXq+3KesBAAAIevUOYGfOnFF6eroSEhJ0xx13KCEhQfPmzZPH4/FHfQAAAEGn3gFs7ty5OnTokJYsWaLNmzfrpZde0ueff66FCxf6oz4EKO7YAgCg4ep9Ef727du1ZcsWtW/fXpJ08803KyYmRsOGDVNGRkaTF4gA9f0dW+HH9nPHFgAA9VTv35qtWrWS2+2usezyyy9XREREkxWF5oE7tgAAaJh6nzd6/PHHNXHiRO3fv19lZWU6dOiQZs6cqcGDB6ugoMD3DwAAABdW7yNg8+fPlyQNHz5cYWFhMsb4vrZixQoZYxQWFqZ///vfTVclAABAEKl3ANu2bZs/6gAAAAgZ9Q5g1113nT/qAAAACBl1DmC33367srOzFRMTo7CwsBpfM8bI5XJp3759ddrW/v379fzzz+vLL79Uy5YtlZSUpBkzZqhdu3b1qx4AAKAZqnMAe/311yVJt956q5599tkaXzPGKD09vU7bKS8v16OPPqr7779fS5cu9b2xa0ZGhv7whz/Uo3QAAIDmqU4BrLCwUEeOHNGRI0eUl5f3g7scT58+rZKSkjrtsKCgQDExMXryySfldrsVHh6uBx54QNOnT69/9QAAAM1QnQLYVVddpVWrVun48ePyeDx65ZVXany9VatWmjBhQp12ePPNN2vZsmU1lv3lL39R9+7d61hytdo+g/L89ygLFvX9zE3moRrzUC0Y58FfPYDecnHMQ7VgnIeGfLZzKM1DU4+1TgEsPDxca9eulSSNGTNGy5cvb5KdG2P00ksvafv27Vq1alW91s3JyfnBsoiICHXr1q1Jags0ubm5Kisrq9NzmYdqzEO1YJ2H2uYgPj6+Udult9SOeagWrPNQnzmQQm8eGttbzlfvuyCbKnyVlpZq5syZ+vLLL7Vq1SpFR0fXa/3Y2NigTN61qe/8BCvmoRrz4L85oLeEJuaBOTjH1jw48gF+eXl5Gjt2rK699lqtXbu2QXc/ut3ukGqSoTTWi2EeqjEP/psDektoYh6Yg3NszUO9P4qosUpKSvSrX/1Kt99+u5YvX85bTwAAfIzLJaPqtzoyCpNxWf81BVhh/QjY+vXrVVBQoA8++EBbtmyp8bV//vOftssBAAQSVwt5omIUfmy/PFExksuREzWA31n/yR49erRGjx5te7cAgGairHMvlXXu5XQZgF9xbBcAAMAyAhgAAIBlBDAAAADLCGAAAACWEcAAAAAsI4ABAABYRgADAACwjAAGAABgGQEMAADAMgIYAACAZQQwAAAAywhgAAAAlhHAAAAALCOAAQAAWEYAAwAAsIwABgAAYBkBDAAAwDICGAAAgGUEMAAAAMsIYAAAAJYRwAAAACwjgAEAAFhGAAMAALCMAAYAAGAZAQwAAMAyAhgAAIBlBDAAAADLCGAAAACWEcAAAAAsI4ABAABYRgADAACwjAAGAABgGQEMAADAMgIYAACAZQQwAAAAywhgAAAAlhHAAAAALCOAAQAAWEYAAwAAsMzxAHb8+HENHDhQWVlZTpcCAABghaMBbO/evXrggQeUl5fnZBkAAABWORbA3nvvPU2dOlWTJ092qgQAAABHOBbA+vbtq61bt2rw4MFOlQAAAOCIFk7tOCoqqlHre73eCy53u92N2m6gqm28tWEeqjEP1YJxHvzVA+gtF8c8VAvGeajvHEihNQ9NPVbHAlhj5eTk/GBZRESEunXr5kA1/pebm6uysrI6PZd5qMY8VAvWeahtDuLj4xu1XXpL7ZiHasE6D/WZAyn05qGxveV8zTaAxcbGBmXyrk10dLTTJQQE5qEa8+C/OaC3hCbmgTk4x9Y8NNsA5na7Q6pJhtJYL4Z5qMY8+G8O6C2hiXlgDs6xNQ+Ovw8YAABAqAmII2C5ublOlwAAAGANR8AAAAAsI4ABAABYRgADAACwjAAGAABgGQEMAADAMgIYAACAZQQwAAAAywhgAAAAlhHAAAAALCOAAQAAWEYAAwAAsIwABgAAYBkBDAAAwDICGAAAgGUEMAAAAMsIYAAAAJYRwAAAACwjgAEAAFhGAAMAALCMAAYAAGAZAQwAAMAyAhgAAIBlBDAAAADLCGAAAACWEcAAAAAsI4ABAABYRgADAACwjAAGAABgGQEMAADAMgIYAACAZQQwAAAAywhgAAAAlhHAAAAALCOAAQAAWEYAAwAAsIwABgAAYBkBDAAAwDICGAAAgGUEMAAAAMsIYAAAAJY5FsCKi4v1xBNPKCEhQb1799Zvf/tbVVZWOlUOAACANY4FsKefflqXXXaZdu7cqbVr12rXrl1auXKlU+UAAABY40gA++abb/TJJ59o2rRpioiIUOfOnfXEE09o9erVTpQDAABglSMB7MCBA2rbtq06duzoW9alSxcVFBTo1KlTTpQEAABgTQsndnrmzBlFRETUWHbu8Xfffac2bdrUuq4xRpLk8Xjkdrt/8HW3261bO12pcHdYE1bsnBuj2sjr9crr9dZrPeahGvNQLZjm4VJz4Ha75XK5FBZWv7HSW+qGeagWTPPQ0DmQQmseGtpbahNmznUdi7Zu3apf//rXysrK8i3Lzc3Vfffdpz179uiKK66odV2Px6OcnBwbZQJopm677bYLhqiLobcAuJSG9JbaOHIE7NZbb9XJkydVVFSkDh06SJIOHjyoTp06XTR8SVKLFi0UGxvbpCkUQHBxuep/dQW9BcClNKS31MaRI2CSNGrUKHXq1Enz5s3TiRMnNH78eA0aNEhPPfWUE+UAAABY41gAKyoq0rx585SVlSWXy6Xhw4dr6tSpTXZoDwAAIFA5FsAAAABCFR9FBAAAYBkBDAAAwDICGAAAgGUEMMDPzp49q2+//dbpMgAEGXpL8xbyF+HPnj1b77//viSpsrJSFRUVNd6lv0ePHrrmmmu0YMECp0p0XEpKio4dO6YWLWq+bVxcXJxWrFhRY1lBQYGGDBmizZs369prr7VZpt+UlJRo0aJF2r59u0pKShQZGamkpCRNnjxZnTp1uuT6qamp+uUvf6kRI0ZYqLbpNXb8oYrecmn0FnpLSPcWA59169aZ5OTkGsvS09NNenq6QxUFhuTkZLNu3Tqny3DM6NGjzcSJE83Ro0eNMcYcO3bMPP300+aee+4xFRUVl1y/uc9fY8cPekttmvtro7HoLaHdWzgFWQfFxcWaOHGievfurb59+2rVqlW+r6WkpGj9+vW+x1lZWYqOjpYkHTlyRNHR0VqwYIESExM1d+5c67X7W1pammbMmKHk5GQNGDBAubm5io6O1pEjR5wurcns3btXAwcOVFRUlCSpQ4cOysjIUM+ePXXq1CkdPHhQ48aN04ABA9SjRw8NHjxY27dvlyQ98sgjKigo0HPPPad58+Y5OYwGu9T46/IaWLNmjVJSUhQfH6/Ro0dz2uR79Jba0VvoLcHeWxz5KKLmZvfu3Vq6dKlefvllbdiwQTNnztTAgQPVsWPHOq1/5swZ/eMf/1B5ebmfK3XGxx9/rDVr1igiIkKnTp1yupwmN2TIED333HPas2ePevXqpZ49e+q6667znTp68MEHdeedd+rVV1+VMUYLFy7UnDlzlJycrBUrViglJUUTJkxotqcJLjX+utixY4c2bNggj8ej0aNHa8mSJc32l0ZTordcHL2F3nIpzbm3cASsDpKSktSnTx+FhYVpyJAhMsbo8OHDdV5/+PDhCg8PV5s2bfxYpX/NnTtXCQkJNf599913kqR+/fqpY8eOzXp8FzN//nzNnj1b//3vfzV79mylpKRo4MCB2rRpkyRp6dKleuqpp2SMUX5+vtq0aaPCwkKHq246lxp/XYwdO1Zt2rRRhw4dlJKSokOHDvmv4GaE3kJvobeEbm/hCFgdtG3b1vf/8PBwSZLX663z+ldffXVTl2Tdc889V+tfWcEwvotxuVwaNmyYhg0bJmOMDh48qI0bN2r69OmKiopSaWmpnnjiCR07dkxdunRRu3btZILo3pZLjb8uOnTo4Pt/ixYtgmp+GoPeQm+ht4Rub+EIWCO5XC5VVFT4Hp84ceIHzwkLC7NZknXBPL6dO3cqLi5OJ0+elFQ91ltuuUVTpkxRt27dtHfvXk2aNEmTJ0/W7t27tXr1at17773OFt2ELjX+ffv21ek1gPqjtwT3+Ogt9BYCWCN16dJF27ZtU3l5uY4dO6a33nrL6ZLQhBITE9W+fXvNnDlTubm5qqioUGlpqTZt2qRDhw7prrvuktfr9b29wNdff63FixdLkjwej6TqIxunT592bAyNcanxDxgwgNeAnzCvwY3eQm8hgDXS1KlTdebMGSUlJemhhx7Sfffd53RJaEKtW7fWO++8o6ioKI0fP14JCQkaMGCANm3apDfeeEMxMTGaPn26pk2bpvj4eE2aNEmpqalq2bKlvvrqK0nSyJEjtWjRIk2dOtXh0dTfpcbfpUsXXgN+wrwGN3oLvSXk34gVAADANo6AAQAAWEYAAwAAsIwABgAAYBkBDAAAwDICGAAAgGUEMAAAAMsIYAAAAJYRwAAAACwjgKFZyczMVFpamtNlAAgi9BU4gQAGAABgGQEMAS07O1upqam67bbb9Itf/EJHjhyRJBlj9Prrr2vo0KFKSEhQYmKipkyZovLychUWFqpbt27Kzs72baeoqEjdu3dXXl6eU0MBECDoKwgEBDAErBMnTmjcuHEaNGiQPv30U02bNk0fffSRJOmDDz7QW2+9pczMTO3Zs0d//OMf9fe//13vv/++OnbsqKSkJG3cuNG3rU2bNikuLk433HCDU8MBEADoKwgUBDAErB07digiIkJjx45Vy5YtFR8fr9TUVElSv379tHbtWv3oRz/S8ePHdeLECbVt21aFhYWSpNTUVG3ZskUej0eS9N577/nWBRC66CsIFAQwBKzCwkJdc801CgsL8y0795emMUaLFi1Sr169NGrUKK1evVoVFRUyxkiSUlJSJEl/+9vf9OWXXyo/P1+DBg2yPwgAAYW+gkDRwukCgNp06tRJ+fn5qqqqkstV/bfCt99+K0lauHChCgoK9Ne//lWRkZGSpKFDh/rWDQ8P19ChQ7V582Zde+21+ulPf6rLLrvM/iAABBT6CgIFR8AQsFJSUmSMUWZmpjwej7744gutWbNGklRaWqpWrVrJ7Xbr7NmzWrFihb766itVVFT41h85cqR27typrVu3asSIEU4NA0AAoa8gUBDAELDatGmj5cuXa9euXerVq5dmzZrlO9z/9NNPq7y8XH369FFKSoo+++wzDRs2TF999ZVv/ZiYGN1www1yuVyKj493ahgAAgh9BYEizJw7uQ0EoQkTJqhHjx567LHHnC4FQJCgr6ApcAQMQenw4cPaunWrPv74Y04TAGgS9BU0JS7CR1B69dVXtW3bNmVkZKhDhw5OlwMgCNBX0JQ4BQkAAGAZpyABAAAsI4ABAABYRgADAACwjAAGAABgGQEMAADAMgIYAACAZQQwAAAAywhgAAAAlhHAAAAALPs/BTek1zppTT4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 611.111x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Eri päivien tippien keskiarvot tupakoinnin mukaan.\n",
    "sns.catplot(tips, x='day', y='tip', col='smoker', kind='bar', height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### boxplot\n",
    "\n",
    "Havainnollistaa viiden luvun yhteenvedon (pienin, alaneljännes, mediaani, yläneljännes, suurin). Muista selvästi poikkeavat havainnot esitetään erillisinä pisteinä. Lue lisää: https://seaborn.pydata.org/generated/seaborn.boxplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='tip'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tipin suuruuden jakauma tunnuslukuina.\n",
    "plt.figure(figsize=(3, 3))\n",
    "sns.boxplot(tips, x='tip', showmeans=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='time', ylabel='tip'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Tipin suuruus lounas- ja päivällisseurueille.\n",
    "plt.figure(figsize=(3, 3))\n",
    "sns.boxplot(tips, x='time', y='tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sex', ylabel='tip'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# boxplot() usealle muuttujalle (total_bill ja tip) sukupuolen mukaan.\n",
    "\n",
    "# Kahden kaavion kokoelma.\n",
    "fig, axs = plt.subplots(1, 2, figsize=(8, 3))\n",
    "\n",
    "sns.boxplot(tips, x='sex', y='total_bill', ax=axs[0])\n",
    "sns.boxplot(tips, x='sex', y='tip', ax=axs[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**boxplot** sopii käytettäväksi **catplot**-funktion yhteydessä (`kind='box'`). Tällöin voit esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.catplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x249c3025310>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 611.111x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusumma seurueen koon ja ajan mukaan.\n",
    "sns.catplot(tips, x='size', y='total_bill', col='time', kind='box', height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### scatterplot\n",
    "\n",
    "Havainnollistaa kahden määrällisen muuttujan välisen riippuvuuden: https://seaborn.pydata.org/generated/seaborn.scatterplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='tip'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusumman ja tipin välinen riippuvuus.\n",
    "plt.figure(figsize=(3, 3))\n",
    "sns.scatterplot(tips, x='total_bill', y='tip', hue='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**scatterplot** sopii käytettäväksi **relplot**-funktion yhteydessä (`kind='scatter'`). Tällöin voit esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.relplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x249c321a0d0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 672.625x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusumma ajan mukaan. Värierottelu tupakoinnin mukaan.\n",
    "sns.relplot(tips, x='total_bill', y='tip', col='time', hue='smoker', kind='scatter', height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### jointplot\n",
    "\n",
    "Havainnollistaa kahden määrällisen muuttujan välisen riippuvuuden ja esittää samalla kummankin muuttujan jakaumat: http://seaborn.pydata.org/generated/seaborn.jointplot.html."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x249c0abe660>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Laskun loppusumman ja tipin välinen riippuvuus.\n",
    "sns.jointplot(tips, x='total_bill', y='tip', kind='reg', height=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x249c7566e90>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Värierottelu ajan mukaan.\n",
    "sns.jointplot(tips, x='total_bill', y='tip', hue='time', height=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lisätietoa\n",
    "\n",
    "Lisätietoa seaborn-kaavioista löydät kaaviolaji-kohtaisista muistioista:\n",
    "\n",
    "* countplot ja catplot https://github.com/taanila/kaaviot/blob/master/sns_count.ipynb \n",
    "* histplot ja displot https://github.com/taanila/kaaviot/blob/master/sns_hist.ipynb \n",
    "* barplot ja catplot sns.bar https://github.com/taanila/kaaviot/blob/master/sns_bar.ipynb  \n",
    "* boxplot ja catplot sns.box https://github.com/taanila/kaaviot/blob/master/sns_box.ipynb \n",
    "* scatterplot, jointplot, pairplot ja rel plotsns.scatter https://github.com/taanila/kaaviot/blob/master/sns_scatter.ipynb.\n",
    "\n",
    "Seuraavassa osassa käsitellään kaavion värejä ja värikarttoja:\n",
    "\n",
    "- [Värit ja värikartat](https://github.com/taanila/kaaviot/blob/master/matplotlib6.ipynb)\n",
    "\n",
    "Löydät kaikki muistiot osoitteesta https://tilastoapu.wordpress.com/python."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}