seaborn1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Päivitetty 2024-07-06 / Aki Taanila\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "print(f'Päivitetty {datetime.now().date()} / Aki Taanila')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Seaborn\n",
    "\n",
    "Matplotlib on grafiikan peruspaketti. Seaborn on matplotlibin päälle rakennettu grafiikka-paketti, joka tarjoaa helppoja tapoja kaavioiden luontiin suoraan datasta. Kaavioita voin muotoilla kuten mitä tahansa matplotlib-kaavioita, joten muotoilu edellyttää matplotlib-osaamista.\n",
    "\n",
    "Tässä muistiossa on esimerkkejä seuraavista kaaviolajeista:\n",
    "\n",
    "* **countplot** - lukumääräyhteeveto kategoriselle muuttujalle\n",
    "* **histplot** -  luokiteltu jakauma määrälliselle muuttujalle\n",
    "* **barplot** - virhemarginaaleilla varustettu pylväskaavio keskiarvoista\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 kuvioista käyttäen **catplot**-, **displot**- ja **relplot**-funktioita.\n",
    "\n",
    "Seaborn-kaavioita on helppo laatia, jos muistaa 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 voin määrittää värin **color**-parametrin arvona. Esimerkiksi tämän muistion ensimmäiseen kaavioon saan pylväille vihreän värin seuraavasti: `sns.countplot(data=tips, x='size', color='green')`. Reunavärin voin määrittää **edgecolor**-parametrilla.\n",
    "\n",
    "* Värejä: https://matplotlib.org/stable/gallery/color/named_colors.html\n",
    "\n",
    "Kaavion luonnissa voit määrittää käytettävän värikartan **palette**-parametrilla.\n",
    "\n",
    "* Värikarttoja: https://matplotlib.org/stable/tutorials/colors/colormaps.html\n",
    "\n",
    "Yksittäisen kaavion koon voin määrittää luomalla kaaviota ympäröivän kuvion (figure) ennen kaavion luomista. Esimerkiksi `plt.figure(figsize=(10,6))`.\n",
    "\n",
    "Yhdistelmäkaavion (catplot, displot, relplot, jointplot) kokoa säädän **height**- ja **aspect**-parametreillä."
   ]
  },
  {
   "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",
    "# Käytetään valmista tyylimäärittelyä (vaihtoehtoja 'darkgrid', 'white', 'dark')\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "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')    # Esimerkkidata ravintolaseurueiden tipeistä\n",
    "tips"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## countplot\n",
    "\n",
    "Sopii kategoristen muuttujien lukumääräyhteenvetoihin: 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(data=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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5z9i6davJ8/Pz8+Hr62t2O0ql0moD3VrrIrIkvs/N19g+k/wslwEDBqBDhw6YO3cubt26hbKyMiQkJGDYsGEYPXo0SktLsXnzZmi1WmRlZSE9PR1hYWFSl0lE1OxIHugODg74/PPPoVQqERwcjODgYHh4eGDZsmVo27YtEhMTsWfPHvTt2xdxcXGIi4tDv379pC6TiKjZkWVyrvbt2yMhIeG+6/z9/ZGcnCxxRUREzR8v/SciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiARhdqC/+uqr910+ceLERhdDRESPrkF3LCooKMCOHTsAAIcOHcLatWtN1ldWViIvL8/ixRERUcM1KNC9vLxw9uxZlJWVQafT4dixYybrW7RogYULFzZJgURE1DANCnSFQoFVq1YBAOLi4rB06dImLYqIiMxn9k2ily5ditraWpSVlUGv15us8/LyslhhRERkHrMDfc+ePZg/fz4qKyuNywwGA+zs7PDf//7XosUREVHDmR3oq1evRkREBMaOHQt7e7NfTkRETcTsRL5y5QqmT5/OMCcisjJmn4ferVs35OfnN0UtRETUCGYPs3v16oWoqCj89a9/hZubm8m66dOnW6wwIiIyj9mBnpOTA19fX5w7dw7nzp0zLrezs7NoYUREZB6zA/3zzz9vijqIiKiRzA70u1MA3E9oaGgjSiEiosZ4pNMWf6+iogLV1dUIDAxkoBMRycjsQP/uu+9MHhsMBmzcuBE3btywVE1ERPQIGj0fup2dHV566SXs3LnTEvUQEdEjssgNLs6fP8+zXIiIZGb2IZfIyEiT8NZqtcjLy8OYMWMsWhgREZnH7EDv27evyWOFQoGoqCgMGzbMYkUREZH5zA70318Nev36dbRp04bzuhARWQGzj6FrtVosW7YMAQEBGDRoEAIDAzF//nzU1tY2RX1ERNRAZgf6unXrcOzYMaxcuRK7du3CypUrcfLkSaxcubIJyiMiooYy+1hJeno6PvvsM3To0AEA4O3tDW9vb0RERCA2NtbiBRIRUcOYPUKvqKiAp6enyTJPT0/U1NRYrCgiIjKf2YGuVquRnJxssiw5ORl+fn5mN67T6RAZGYnZs2cbl508eRLjx49HQEAANBoNUlJSzN4uEZEtMvuQy8yZMzFp0iSkpaWhQ4cOuHTpEvLz8/Hpp5+a3fjatWtx/PhxPPHEEwDujP5jYmIwY8YMvPDCC8jOzsa0adOgVqvRvXt3s7dPRGRLzB6hBwUFYd68efDx8YGLiwuGDBmCuXPnolevXmZt5+jRo8jIyMCIESOMyzIyMuDq6oqIiAjY29ujf//+CAkJQVJSkrllEhHZHLMDffXq1Vi/fj1iYmKwePFiqNVqrF+/Hps2bWrwNq5fv4558+bhgw8+gEqlMi4/e/bsPYdufHx8cObMGXPLJCKyOWYfcklNTUVSUpLxLJehQ4fC19cXL774Il5++eWHvl6v1+Ott95CdHQ0unTpYrLu1q1bJgEPAE5OTqiqqjK3TOh0unrXKZVKs7dnSQ+qjchS+D43n7X2WUP70uxAr6ysvO9ZLg0N3Q0bNsDR0RGRkZH3rFOpVLh586bJspqaGri4uJhbJnJzc++7XKVSoWvXrmZvz5Ly8vJQXV0taw0kNr7PzSdCn5kd6N26dcMnn3yCqVOnGpclJibeM9quz86dO1FcXIygoCAAMJ7u+O233yI2NhaHDx82eX5+fj58fX3NLRP+/v6yf9rWR61Wy10CUZPj+9x89fWZTqerd5D6e2YH+uzZszFp0iRs27YNHh4euHr1Kurq6hp8DH3Pnj33bA8AVqxYgfLycrz33nvYvHkzIiIi8OOPPyI9PR3r1q0zt0wolUqrDXRrrYvIkvg+N19j++yRRugZGRnYv38/iouL4enpicGDB6NVq1aNKgQA2rZti8TERMTHx2P16tVo164d4uLi0K9fv0Zvm4hIdI80TWKbNm0sdv/QFStWmDz29/e/58IlIiJ6OIvcsYiIiOTHQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiAQhS6CfOXMG0dHR6NOnDwYOHIjY2FiUlZUBAE6ePInx48cjICAAGo0GKSkpcpRIRNTsSB7oNTU1ePnllxEQEIBDhw5h165duHHjBubOnYuKigrExMQgNDQU2dnZiI+Px/Lly3Hq1CmpyyQianYkD/SioiJ06dIF06ZNg6OjI9q2bYsXXngB2dnZyMjIgKurKyIiImBvb4/+/fsjJCQESUlJUpdJRNTs2EvdYOfOnbFp0yaTZd988w26deuGs2fPws/Pz2Sdj48PUlNTzW5Hp9PVu06pVJq9PUt6UG1ElsL3ufmstc8a2peSB/rvGQwGrFy5Evv378cXX3yBLVu2QKVSmTzHyckJVVVVZm87Nzf3vstVKhW6du36SPVaSl5eHqqrq2WtgcTG97n5ROgz2QK9srISc+bMwenTp/HFF19ArVZDpVLh5s2bJs+rqamBi4uL2dv39/eX/dO2Pmq1Wu4SiJoc3+fmq6/PdDpdvYPU35Ml0C9duoTJkyfDy8sLqampaNeuHQDAz88Phw8fNnlufn4+fH19zW5DqVRabaBba11ElsT3ufka22eSfylaUVGBF198Eb169cKnn35qDHMAGD58OEpLS7F582ZotVpkZWUhPT0dYWFhUpdJRNTsSD5C3759O4qKivD1119jz549JutycnKQmJiI+Ph4rF69Gu3atUNcXBz69esndZlERM2O5IEeHR2N6Ojoetf7+/sjOTlZwoqIiMTAS/+JiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnYhIEAx0IiJBMNCJiATBQCciEgQDnayeQS/fzYblbJvIXLLeJJqoIewUSpRunw1t6a+Stuvg1hlu41ZI2iZRYzDQqVnQlv4K7dX/yl0GkVXjIRciIkEw0ImIBMFAJyISBAOdiEgQDHQiIkEw0ImIBMFAJyISBAOdiEgQDHQiIkEw0ImIBMFApwbR6fVyl0BED8G5XKhBlAoF4rZm4nxxhaTtDlB7YdrIXpK2SdRcMdCpwc4XV+BMYZmkbXZyby1pe0TNGQ+5EBEJgoFORCQIBjoRkSAY6EREgmCgExEJgoFORCQIBjoRkSAY6EREgmCgExEJgoFORCQIBjoRkSCsMtCvX7+OqVOnIigoCH379kV8fDzq6urkLouIyKpZZaDPnDkTzs7OyMzMRGpqKo4ePYrNmzfLXVajPdbKCQa9Trb25WybiJqe1c22ePHiRfzwww/4/vvvoVKp0KFDB0ydOhXvvfceXn75ZbnLa5RWTo6wUyhRun02tKW/Stq2g1tnuI1bIWmbRCQtqwv0s2fPwtXVFe3btzcu8/b2RlFREX777Te0bv3g6VQNBgMAoLa2Fkql8r7PUSqV8PVoA0elneUKb4AOj7lAp9NBb2cPvcJR0rb1dvbQ6XTQ6R5tlC53nynd/STvM+VjnRrVZ3JTKpXsNzNZa5/dXX433+pjZ3jYMyS2c+dOJCQk4MCBA8Zlly5dwvDhw3Hw4EF4eHg88PW1tbXIzc1t4iqJiKTn7+8PR8f6P2ysboTu7OyM6upqk2V3H7u4uDz09fb29vD394dCoYCdnbSjSSKipmAwGKDX62Fv/+DItrpA9/X1xY0bN1BaWgo3NzcAwLlz5+Dh4YFWrVo99PUKheKBn2BERKKyurNcOnXqhMDAQCxbtgyVlZW4fPky1q1bh/DwcLlLIyKyalZ3DB0ASktLsXjxYhw7dgwKhQKhoaF488036/2Sk4iIrDTQiYjIfFZ3yIWIiB4NA52ISBAMdCIiQTDQiWzQ7du3cfXqVbnLIAvjl6KPaMGCBUhPTwcA1NXVQavVQqVSGdd3794dnp6eWLGC86c0hEajQUlJyT0XTgQEBCAxMdFkWVFREUaNGoWvvvoKXl5eUpZpNSoqKpCQkID9+/ejoqICLVu2xMCBAzFr1qyHXk0NAGFhYYiIiMC4ceMkqFZeje2r5oQj9Ee0ePFi5OTkICcnB4sWLYKXl5fxcU5ODjw9PeUusdlZtGiRSR/m5OTcE+YAjH1tq2EOALNmzUJ5eTlSU1Nx4sQJ7NixA7W1tYiOjm7QVNPl5eUSVGkdGttXzQkDvQldv34dM2bMQN++fTFo0CB88cUXxnUajQbbt283Pj527BjUajUAoKCgAGq1GitWrEDv3r2xaNEiyWu3JpGRkZg9ezaGDBmCwYMHIy8vD2q1GgUFBXKXJpsff/wRw4cPh7u7OwDAzc0Nc+fORY8ePfDbb7/h3LlzmDJlCgYPHozu3bvj2Wefxf79+wEAkyZNQlFRERYuXIjFixfLuRuSeFhfNeRvMSUlBRqNBoGBgYiOjrbaw1VWd+m/SLKysrBhwwasWrUKO3bswJw5czB8+HCTmSQf5NatWzh8+DBqamqauFLrd+TIEaSkpEClUuG3336TuxzZjRo1CgsXLsTx48fRp08f9OjRA0888YTxEN/EiRMxdOhQrF27FgaDAe+//z7eeecdDBkyBImJidBoNJg+fbpNHHJ5WF81xIEDB0xG9uvWrbPKD0OO0JvQwIEDMWDAANjZ2WHUqFEwGAy4fPlyg18fGhoKR0fHh04ZLIpFixYhKCjI5KeqqgoA8Je//AXt27e3mb54mKVLl2LBggW4cuUKFixYAI1Gg+HDhyMtLQ0AsGHDBrz22mswGAwoLCxE69atce3aNZmrlsfD+qohJk+ejNatW8PNzQ0ajQYXLlxouoIbgSP0JuTq6mr8990Jw8yZI/rxxx+3dElWbeHChfWOGG2tLx5GoVDgueeew3PPPQeDwYBz585h586diI2Nhbu7OyorKzF16lSUlJTA29sb7dq1e+hc2qJ6WF81xN2JAoE7M7paa19yhC4ThUIBrVZrfHy/L6k4/e//Y1/8v8zMTAQEBODGjRsA7vSNj48P3njjDXTt2hU//vgjXn/9dcyaNQtZWVlISkrC6NGj5S1aJg/rq//85z8N+ltsLhjoMvH29sa+fftQU1ODkpISbNmyRe6SqJno3bs3HnvsMcyZMwd5eXnQarWorKxEWloaLly4gGHDhkGn0xlPo83Pz8dHH30E4M4NYIA7/2O8efOmbPsglYf11eDBg4X6W2Sgy+TNN9/ErVu3MHDgQPz973/HmDFj5C6JmgknJyds3boV7u7uePXVVxEUFITBgwcjLS0Nn332Gbp06YLY2Fi89dZbCAwMxOuvv46wsDA4ODjgl19+AQCEh4cjISEBb775psx707Qe1lfe3t5C/S3ywiIiIkFwhE5EJAgGOhGRIBjoRESCYKATEQmCgU5EJAgGOhGRIBjoRESCYKATNcCaNWsQGRkpdxlED8RAJyISBAOd6D5++uknhIWFoWfPnvjb3/5mvJmGwWDAJ598gpCQEAQFBaF379544403UFNTg2vXrqFr16746aefjNspLS1Ft27dcOnSJbl2hWwIA53oD8rLyzFlyhQEBwcjOzsbb731Fr799lsAwNdff40tW7ZgzZo1OH78OJKTk3Ho0CGkp6ejffv2GDhwIHbu3GncVlpaGgICAtCxY0e5dodsCAOd6A8OHDgAlUqFyZMnw8HBAYGBgQgLCwNw50Ybqamp6NSpE8rKylBeXg5XV1fjzSPCwsKwZ88e46yGX375pfG1RE2NgU70B9euXYOnp6fJHOx3R9gGgwEJCQno06cPJkyYgKSkJGi1WuMNDzQaDQDg4MGDOH36NAoLCxEcHCz9TpBN4h2LiP7Aw8MDhYWF0Ov1UCjujHnu3hT4/fffR1FREb777ju0bNkSABASEmJ8raOjI0JCQvDVV1/By8sLI0eOhLOzs/Q7QTaJI3SiP9BoNDAYDFizZg1qa2vx888/IyUlBQBQWVmJFi1aQKlU4vbt20hMTMQvv/xicseb8PBwZGZmYu/evTZxE2ayHgx0oj9o3bo1Pv30Uxw9ehR9+vTBvHnzjIdNZs6ciZqaGgwYMAAajQYnTpzAc889Z7xxBAB06dIFHTt2hEKhQGBgoFy7QTaIN7ggagLTp09H9+7dERMTI3cpZEM4QieyoMuXL2Pv3r04cuQID7eQ5PilKJEFrV27Fvv27cPcuXPh5uYmdzlkY3jIhYhIEDzkQkQkCAY6EZEgGOhERIJgoBMRCYKBTkQkCAY6EZEgGOhERIJgoBMRCYKBTkQkiP8DHBYb3Hlgn78AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lounas- ja päivällisseurueiden lukumäärät eri viikonpäivinä\n",
    "plt.figure(figsize=(4, 3))\n",
    "sns.countplot(data=tips, x='day', hue='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "countplot sopii käytettäväksi <b>catplot</b>-toiminnon yhteydessä (`kind='count'`). Tällöin voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille. Seuraavassa ryhmittelevinä kategorisina muuttujina ovat sex (`col='sex'`) ja smoker (`row='smoker'`).\n",
    "\n",
    "https://seaborn.pydata.org/generated/seaborn.catplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1579ac26fc0>"
      ]
     },
     "execution_count": 6,
     "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(data=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": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', ylabel='Count'>"
      ]
     },
     "execution_count": 7,
     "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": [
    "sns.histplot(data=tips, x='total_bill')    # Laskun loppusummien jakauma"
   ]
  },
  {
   "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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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Itse määritellyt luokkarajat\n",
    "sns.histplot(data=tips, x='total_bill', bins=[0, 10, 20, 30, 40, 50, 60])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "histplot sopii käytettäväksi **displot**-funktion yhteydessä (`kind='hist'`). Tällöin voin esittää useita histogrammeja kategoristen muuttujien määräämille ryhmille:\n",
    "https://seaborn.pydata.org/generated/seaborn.displot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1579b565ac0>"
      ]
     },
     "execution_count": 9,
     "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(data=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 havainnoillistaa virhemarginaalin (luottamusväli): https://seaborn.pydata.org/generated/seaborn.barplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='day', ylabel='tip'>"
      ]
     },
     "execution_count": 10,
     "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(data=tips, x='day', y='tip')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1579b4d5d30>"
      ]
     },
     "execution_count": 11,
     "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": [
    "# Eri päivien tippien keskiarvot sukupuolen mukaan\n",
    "sns.barplot(data=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 voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.catplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1579ac27ad0>"
      ]
     },
     "execution_count": 12,
     "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": [
    "# Eri päivien tippien keskiarvot tupakoinnin mukaan\n",
    "sns.catplot(data=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": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='tip'>"
      ]
     },
     "execution_count": 13,
     "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(data=tips, x='tip', showmeans=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='time', ylabel='tip'>"
      ]
     },
     "execution_count": 14,
     "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(data=tips, x='time', y='tip')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "boxplot sopii käytettäväksi **catplot**-funktion yhteydessä (`kind='box'`). Tällöin voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.catplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1579b95a570>"
      ]
     },
     "execution_count": 15,
     "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(data=tips, x='size', y='total_bill', col='time', kind='box', height=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>scatterplot</h2>\n",
    "\n",
    "Havainnollistaa kahden määrällisen muuttujan välisen riippuvuuden: https://seaborn.pydata.org/generated/seaborn.scatterplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='total_bill', 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": [
    "plt.figure(figsize=(3, 3))\n",
    "sns.scatterplot(data=tips, x='total_bill', y='tip', hue='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "scatterplot sopii käytettäväksi **relplot**-funktion yhteydessä (`kind='scatter'`). Tällöin voin esittää useita kaavioita kategoristen muuttujien määräämille ryhmille: https://seaborn.pydata.org/generated/seaborn.relplot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1579ca2db50>"
      ]
     },
     "execution_count": 17,
     "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(data=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": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1579cc38f20>"
      ]
     },
     "execution_count": 18,
     "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(data=tips, x='total_bill', y='tip', kind='reg', height=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1579cd248f0>"
      ]
     },
     "execution_count": 19,
     "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(data=tips, x='total_bill', y='tip', hue='time', height=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lisätietoa\n",
    "\n",
    "Lisätietoa löydät kaaviolaji-kohtaisista muistioistani:\n",
    "\n",
    "* countplot ja catplot https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_count.ipynb \n",
    "* histplot ja displot https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_hist.ipynb \n",
    "* barplot ja catplot https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_bar.ipynb  \n",
    "* boxplot ja catplot https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_box.ipynb \n",
    "* scatterplot ja relplot, pairplot https://nbviewer.org/github/taanila/kaaviot/blob/master/sns_scatter.ipynb "
   ]
  }
 ],
 "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": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}