09_Gruplama_Yontemleri.ipynb

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  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# Gruplama Yöntemleri\n",
    "\n",
    "## groupby() Metodu\n",
    "Veri çerçevemizdeki verileri gruplamak istediğimizde **groupby()** metodunu kullanabiliriz.\n",
    "Önce NBA oyuncularının bilgilerinin bulunduu csv dosyamızı veri çerçevesine dönüştürüp içeriğine göz atalım."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "428df51a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "        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>Name</th>\n",
       "      <th>Team</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Avery Bradley</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>0.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-2</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Texas</td>\n",
       "      <td>7730337.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Jae Crowder</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>99.0</td>\n",
       "      <td>SF</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6-6</td>\n",
       "      <td>235.0</td>\n",
       "      <td>Marquette</td>\n",
       "      <td>6796117.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>John Holland</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>30.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>205.0</td>\n",
       "      <td>Boston University</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R.J. Hunter</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>28.0</td>\n",
       "      <td>SG</td>\n",
       "      <td>22.0</td>\n",
       "      <td>6-5</td>\n",
       "      <td>185.0</td>\n",
       "      <td>Georgia State</td>\n",
       "      <td>1148640.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Jonas Jerebko</td>\n",
       "      <td>Boston Celtics</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PF</td>\n",
       "      <td>29.0</td>\n",
       "      <td>6-10</td>\n",
       "      <td>231.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000000.0</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Shelvin Mack</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>8.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6-3</td>\n",
       "      <td>203.0</td>\n",
       "      <td>Butler</td>\n",
       "      <td>2433333.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Raul Neto</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>25.0</td>\n",
       "      <td>PG</td>\n",
       "      <td>24.0</td>\n",
       "      <td>6-1</td>\n",
       "      <td>179.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Tibor Pleiss</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>21.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-3</td>\n",
       "      <td>256.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Jeff Withey</td>\n",
       "      <td>Utah Jazz</td>\n",
       "      <td>24.0</td>\n",
       "      <td>C</td>\n",
       "      <td>26.0</td>\n",
       "      <td>7-0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>947276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>458 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Name            Team  Number Position   Age Height  Weight  \\\n",
       "0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n",
       "1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n",
       "2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n",
       "3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n",
       "4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n",
       "..             ...             ...     ...      ...   ...    ...     ...   \n",
       "453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n",
       "454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n",
       "455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n",
       "456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n",
       "457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n",
       "\n",
       "               College     Salary  \n",
       "0                Texas  7730337.0  \n",
       "1            Marquette  6796117.0  \n",
       "2    Boston University        NaN  \n",
       "3        Georgia State  1148640.0  \n",
       "4                  NaN  5000000.0  \n",
       "..                 ...        ...  \n",
       "453             Butler  2433333.0  \n",
       "454                NaN   900000.0  \n",
       "455                NaN  2900000.0  \n",
       "456             Kansas   947276.0  \n",
       "457                NaN        NaN  \n",
       "\n",
       "[458 rows x 9 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "nba = pd.read_csv(\"Veri_Setleri/nba.csv\", decimal=\".\")\n",
    "nba"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99a8f6d1",
   "metadata": {},
   "source": [
    "Veri çerçevemizi incelediğimizde, **Takım (Team)** ismine göre grulama yapmanın uygun olacağını düşünüyorum. Takıma göre gruplama yaparak, Takımda bulunan Oyuncuların Ortalama, En az ya da  En fazla Yaş (Age), Boy uzunluğu (Height), Kilo (Weight) ya da Yıllık Kazançlarını (Salary) görebiliriz.\n",
    "\n",
    "Aşağıdaki örnekte, Takımlara göre tüm sütunların ortalama değerlerini göreceğiz. Ortalama değeri bulmak için **mean()** metodunu kullanacağız."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "bb7d5876",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number</th>\n",
       "      <th>Age</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Team</th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Atlanta Hawks</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>28.200000</td>\n",
       "      <td>221.266667</td>\n",
       "      <td>4.860197e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston Celtics</th>\n",
       "      <td>31.866667</td>\n",
       "      <td>24.733333</td>\n",
       "      <td>219.466667</td>\n",
       "      <td>4.181505e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn Nets</th>\n",
       "      <td>18.266667</td>\n",
       "      <td>25.600000</td>\n",
       "      <td>215.600000</td>\n",
       "      <td>3.501898e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Charlotte Hornets</th>\n",
       "      <td>17.133333</td>\n",
       "      <td>26.133333</td>\n",
       "      <td>220.400000</td>\n",
       "      <td>5.222728e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chicago Bulls</th>\n",
       "      <td>19.200000</td>\n",
       "      <td>27.400000</td>\n",
       "      <td>218.933333</td>\n",
       "      <td>5.785559e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleveland Cavaliers</th>\n",
       "      <td>14.466667</td>\n",
       "      <td>29.533333</td>\n",
       "      <td>227.866667</td>\n",
       "      <td>7.642049e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas Mavericks</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>29.733333</td>\n",
       "      <td>227.000000</td>\n",
       "      <td>4.746582e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denver Nuggets</th>\n",
       "      <td>15.266667</td>\n",
       "      <td>25.733333</td>\n",
       "      <td>217.533333</td>\n",
       "      <td>4.294424e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Detroit Pistons</th>\n",
       "      <td>17.266667</td>\n",
       "      <td>26.200000</td>\n",
       "      <td>222.200000</td>\n",
       "      <td>4.477884e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Golden State Warriors</th>\n",
       "      <td>20.866667</td>\n",
       "      <td>27.666667</td>\n",
       "      <td>224.600000</td>\n",
       "      <td>5.924600e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Houston Rockets</th>\n",
       "      <td>14.666667</td>\n",
       "      <td>26.866667</td>\n",
       "      <td>220.333333</td>\n",
       "      <td>5.018868e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana Pacers</th>\n",
       "      <td>18.933333</td>\n",
       "      <td>26.400000</td>\n",
       "      <td>222.266667</td>\n",
       "      <td>4.450122e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Clippers</th>\n",
       "      <td>19.533333</td>\n",
       "      <td>29.466667</td>\n",
       "      <td>219.733333</td>\n",
       "      <td>6.323643e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Lakers</th>\n",
       "      <td>16.066667</td>\n",
       "      <td>27.533333</td>\n",
       "      <td>227.066667</td>\n",
       "      <td>4.784695e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Memphis Grizzlies</th>\n",
       "      <td>15.555556</td>\n",
       "      <td>28.388889</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>5.467920e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami Heat</th>\n",
       "      <td>10.466667</td>\n",
       "      <td>28.933333</td>\n",
       "      <td>218.400000</td>\n",
       "      <td>6.347359e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Milwaukee Bucks</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>24.562500</td>\n",
       "      <td>224.062500</td>\n",
       "      <td>4.350220e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota Timberwolves</th>\n",
       "      <td>19.571429</td>\n",
       "      <td>26.357143</td>\n",
       "      <td>228.642857</td>\n",
       "      <td>4.593054e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Orleans Pelicans</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>26.894737</td>\n",
       "      <td>221.000000</td>\n",
       "      <td>4.355304e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Knicks</th>\n",
       "      <td>13.250000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>223.625000</td>\n",
       "      <td>4.581494e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma City Thunder</th>\n",
       "      <td>14.000000</td>\n",
       "      <td>27.066667</td>\n",
       "      <td>229.400000</td>\n",
       "      <td>6.251020e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orlando Magic</th>\n",
       "      <td>16.428571</td>\n",
       "      <td>25.071429</td>\n",
       "      <td>213.357143</td>\n",
       "      <td>4.297248e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philadelphia 76ers</th>\n",
       "      <td>18.066667</td>\n",
       "      <td>24.600000</td>\n",
       "      <td>222.133333</td>\n",
       "      <td>2.213778e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phoenix Suns</th>\n",
       "      <td>15.466667</td>\n",
       "      <td>25.866667</td>\n",
       "      <td>218.600000</td>\n",
       "      <td>4.229676e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland Trail Blazers</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>25.066667</td>\n",
       "      <td>218.600000</td>\n",
       "      <td>3.220121e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sacramento Kings</th>\n",
       "      <td>16.933333</td>\n",
       "      <td>26.800000</td>\n",
       "      <td>221.333333</td>\n",
       "      <td>4.778911e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Antonio Spurs</th>\n",
       "      <td>17.933333</td>\n",
       "      <td>31.600000</td>\n",
       "      <td>223.933333</td>\n",
       "      <td>5.629516e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Raptors</th>\n",
       "      <td>22.466667</td>\n",
       "      <td>26.133333</td>\n",
       "      <td>221.800000</td>\n",
       "      <td>4.741174e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah Jazz</th>\n",
       "      <td>17.866667</td>\n",
       "      <td>24.466667</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>4.204006e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington Wizards</th>\n",
       "      <td>17.600000</td>\n",
       "      <td>27.866667</td>\n",
       "      <td>219.000000</td>\n",
       "      <td>5.088576e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Number        Age      Weight        Salary\n",
       "Team                                                                  \n",
       "Atlanta Hawks           19.000000  28.200000  221.266667  4.860197e+06\n",
       "Boston Celtics          31.866667  24.733333  219.466667  4.181505e+06\n",
       "Brooklyn Nets           18.266667  25.600000  215.600000  3.501898e+06\n",
       "Charlotte Hornets       17.133333  26.133333  220.400000  5.222728e+06\n",
       "Chicago Bulls           19.200000  27.400000  218.933333  5.785559e+06\n",
       "Cleveland Cavaliers     14.466667  29.533333  227.866667  7.642049e+06\n",
       "Dallas Mavericks        20.000000  29.733333  227.000000  4.746582e+06\n",
       "Denver Nuggets          15.266667  25.733333  217.533333  4.294424e+06\n",
       "Detroit Pistons         17.266667  26.200000  222.200000  4.477884e+06\n",
       "Golden State Warriors   20.866667  27.666667  224.600000  5.924600e+06\n",
       "Houston Rockets         14.666667  26.866667  220.333333  5.018868e+06\n",
       "Indiana Pacers          18.933333  26.400000  222.266667  4.450122e+06\n",
       "Los Angeles Clippers    19.533333  29.466667  219.733333  6.323643e+06\n",
       "Los Angeles Lakers      16.066667  27.533333  227.066667  4.784695e+06\n",
       "Memphis Grizzlies       15.555556  28.388889  218.000000  5.467920e+06\n",
       "Miami Heat              10.466667  28.933333  218.400000  6.347359e+06\n",
       "Milwaukee Bucks         20.000000  24.562500  224.062500  4.350220e+06\n",
       "Minnesota Timberwolves  19.571429  26.357143  228.642857  4.593054e+06\n",
       "New Orleans Pelicans    17.000000  26.894737  221.000000  4.355304e+06\n",
       "New York Knicks         13.250000  27.000000  223.625000  4.581494e+06\n",
       "Oklahoma City Thunder   14.000000  27.066667  229.400000  6.251020e+06\n",
       "Orlando Magic           16.428571  25.071429  213.357143  4.297248e+06\n",
       "Philadelphia 76ers      18.066667  24.600000  222.133333  2.213778e+06\n",
       "Phoenix Suns            15.466667  25.866667  218.600000  4.229676e+06\n",
       "Portland Trail Blazers  16.000000  25.066667  218.600000  3.220121e+06\n",
       "Sacramento Kings        16.933333  26.800000  221.333333  4.778911e+06\n",
       "San Antonio Spurs       17.933333  31.600000  223.933333  5.629516e+06\n",
       "Toronto Raptors         22.466667  26.133333  221.800000  4.741174e+06\n",
       "Utah Jazz               17.866667  24.466667  220.000000  4.204006e+06\n",
       "Washington Wizards      17.600000  27.866667  219.000000  5.088576e+06"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.groupby(\"Team\").mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efa45ee2",
   "metadata": {},
   "source": [
    "Takımlara göre tüm sütunların ortalama değerleri yerine sadece Ortalama Yaş bilgisini görmek isteseydik aşağıdaki kodu çalıştırmamız yeterli olacaktı."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f653056a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Team\n",
       "Atlanta Hawks             28.200000\n",
       "Boston Celtics            24.733333\n",
       "Brooklyn Nets             25.600000\n",
       "Charlotte Hornets         26.133333\n",
       "Chicago Bulls             27.400000\n",
       "Cleveland Cavaliers       29.533333\n",
       "Dallas Mavericks          29.733333\n",
       "Denver Nuggets            25.733333\n",
       "Detroit Pistons           26.200000\n",
       "Golden State Warriors     27.666667\n",
       "Houston Rockets           26.866667\n",
       "Indiana Pacers            26.400000\n",
       "Los Angeles Clippers      29.466667\n",
       "Los Angeles Lakers        27.533333\n",
       "Memphis Grizzlies         28.388889\n",
       "Miami Heat                28.933333\n",
       "Milwaukee Bucks           24.562500\n",
       "Minnesota Timberwolves    26.357143\n",
       "New Orleans Pelicans      26.894737\n",
       "New York Knicks           27.000000\n",
       "Oklahoma City Thunder     27.066667\n",
       "Orlando Magic             25.071429\n",
       "Philadelphia 76ers        24.600000\n",
       "Phoenix Suns              25.866667\n",
       "Portland Trail Blazers    25.066667\n",
       "Sacramento Kings          26.800000\n",
       "San Antonio Spurs         31.600000\n",
       "Toronto Raptors           26.133333\n",
       "Utah Jazz                 24.466667\n",
       "Washington Wizards        27.866667\n",
       "Name: Age, dtype: float64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.groupby(\"Team\").mean()[\"Age\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64681d2f",
   "metadata": {},
   "source": [
    "Takımlardaki en ağır (kilolu) Oyuncuları listelemek istersek , bu işlemi **max()** metodu ile gerçekleştirebiliriz. Amerika'da, Ülkemizde kullanılan **SI Metrik Ölçü birimi** yerine **İngiliz Ölçü birimi**nden türemiş olan **ABD geleneksel ölçü birimleri** kullanıldığı için, tabloda gördüğünüz **Boy uzunluğu (Height)** ve **Kilo (Weight)** değerleri sizi şaşırtmış olabilir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "012e7804",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Team\n",
       "Atlanta Hawks             260.0\n",
       "Boston Celtics            260.0\n",
       "Brooklyn Nets             275.0\n",
       "Charlotte Hornets         289.0\n",
       "Chicago Bulls             275.0\n",
       "Cleveland Cavaliers       275.0\n",
       "Dallas Mavericks          275.0\n",
       "Denver Nuggets            280.0\n",
       "Detroit Pistons           279.0\n",
       "Golden State Warriors     273.0\n",
       "Houston Rockets           265.0\n",
       "Indiana Pacers            255.0\n",
       "Los Angeles Clippers      265.0\n",
       "Los Angeles Lakers        270.0\n",
       "Memphis Grizzlies         270.0\n",
       "Miami Heat                265.0\n",
       "Milwaukee Bucks           265.0\n",
       "Minnesota Timberwolves    307.0\n",
       "New Orleans Pelicans      270.0\n",
       "New York Knicks           278.0\n",
       "Oklahoma City Thunder     255.0\n",
       "Orlando Magic             260.0\n",
       "Philadelphia 76ers        275.0\n",
       "Phoenix Suns              260.0\n",
       "Portland Trail Blazers    265.0\n",
       "Sacramento Kings          270.0\n",
       "San Antonio Spurs         290.0\n",
       "Toronto Raptors           255.0\n",
       "Utah Jazz                 265.0\n",
       "Washington Wizards        250.0\n",
       "Name: Weight, dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.dropna(axis=1)\n",
    "nba.groupby(\"Team\")[\"Weight\"].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74697235",
   "metadata": {},
   "source": [
    "Takımlardaki en genç Oyuncuları listelemek istersek , bu işlemi **min()** metodu ile gerçekleştirebiliriz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "0fc0ee23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Team\n",
       "Atlanta Hawks             22.0\n",
       "Boston Celtics            20.0\n",
       "Brooklyn Nets             21.0\n",
       "Charlotte Hornets         21.0\n",
       "Chicago Bulls             21.0\n",
       "Cleveland Cavaliers       24.0\n",
       "Dallas Mavericks          22.0\n",
       "Denver Nuggets            20.0\n",
       "Detroit Pistons           20.0\n",
       "Golden State Warriors     20.0\n",
       "Houston Rockets           22.0\n",
       "Indiana Pacers            20.0\n",
       "Los Angeles Clippers      23.0\n",
       "Los Angeles Lakers        20.0\n",
       "Memphis Grizzlies         21.0\n",
       "Miami Heat                20.0\n",
       "Milwaukee Bucks           19.0\n",
       "Minnesota Timberwolves    20.0\n",
       "New Orleans Pelicans      23.0\n",
       "New York Knicks           20.0\n",
       "Oklahoma City Thunder     21.0\n",
       "Orlando Magic             20.0\n",
       "Philadelphia 76ers        20.0\n",
       "Phoenix Suns              19.0\n",
       "Portland Trail Blazers    20.0\n",
       "Sacramento Kings          22.0\n",
       "San Antonio Spurs         22.0\n",
       "Toronto Raptors           20.0\n",
       "Utah Jazz                 20.0\n",
       "Washington Wizards        20.0\n",
       "Name: Age, dtype: float64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.groupby(\"Team\")[\"Age\"].min()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3f42607",
   "metadata": {},
   "source": [
    "Takımlardaki en genç Oyuncuları, Oyuncu yaşına göre küçükten büyüğe doğru listelemek/sıralamak istersek , bu işlemi **sort()** metodu ile gerçekleştirebiliriz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "375d88b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Team\n",
       "Phoenix Suns              19.0\n",
       "Milwaukee Bucks           19.0\n",
       "Washington Wizards        20.0\n",
       "Miami Heat                20.0\n",
       "Utah Jazz                 20.0\n",
       "Los Angeles Lakers        20.0\n",
       "New York Knicks           20.0\n",
       "Indiana Pacers            20.0\n",
       "Golden State Warriors     20.0\n",
       "Detroit Pistons           20.0\n",
       "Orlando Magic             20.0\n",
       "Philadelphia 76ers        20.0\n",
       "Portland Trail Blazers    20.0\n",
       "Toronto Raptors           20.0\n",
       "Boston Celtics            20.0\n",
       "Denver Nuggets            20.0\n",
       "Minnesota Timberwolves    20.0\n",
       "Oklahoma City Thunder     21.0\n",
       "Memphis Grizzlies         21.0\n",
       "Chicago Bulls             21.0\n",
       "Charlotte Hornets         21.0\n",
       "Brooklyn Nets             21.0\n",
       "Houston Rockets           22.0\n",
       "Dallas Mavericks          22.0\n",
       "Sacramento Kings          22.0\n",
       "San Antonio Spurs         22.0\n",
       "Atlanta Hawks             22.0\n",
       "Los Angeles Clippers      23.0\n",
       "New Orleans Pelicans      23.0\n",
       "Cleveland Cavaliers       24.0\n",
       "Name: Age, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.groupby(\"Team\")[\"Age\"].min().sort_values()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f7b3f35",
   "metadata": {},
   "source": [
    "Veri Çerçevemizi **Takım (Team)** ismine göre gruplayarak, hangi sütunda kaç adet veri olduğunu bulmak istersek, **count()** metodundan yararlanabiliriz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cee2cf22",
   "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>Name</th>\n",
       "      <th>Number</th>\n",
       "      <th>Position</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>College</th>\n",
       "      <th>Salary</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Team</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></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>Atlanta Hawks</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boston Celtics</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn Nets</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Charlotte Hornets</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chicago Bulls</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleveland Cavaliers</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dallas Mavericks</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Denver Nuggets</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Detroit Pistons</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Golden State Warriors</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Houston Rockets</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indiana Pacers</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Clippers</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Los Angeles Lakers</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Memphis Grizzlies</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miami Heat</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Milwaukee Bucks</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Minnesota Timberwolves</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Orleans Pelicans</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New York Knicks</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oklahoma City Thunder</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Orlando Magic</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Philadelphia 76ers</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Phoenix Suns</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Portland Trail Blazers</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sacramento Kings</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Antonio Spurs</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Raptors</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utah Jazz</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Washington Wizards</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name  Number  Position  Age  Height  Weight  College  \\\n",
       "Team                                                                           \n",
       "Atlanta Hawks             15      15        15   15      15      15       11   \n",
       "Boston Celtics            15      15        15   15      15      15       13   \n",
       "Brooklyn Nets             15      15        15   15      15      15       13   \n",
       "Charlotte Hornets         15      15        15   15      15      15       13   \n",
       "Chicago Bulls             15      15        15   15      15      15       12   \n",
       "Cleveland Cavaliers       15      15        15   15      15      15       12   \n",
       "Dallas Mavericks          15      15        15   15      15      15       12   \n",
       "Denver Nuggets            15      15        15   15      15      15        9   \n",
       "Detroit Pistons           15      15        15   15      15      15       15   \n",
       "Golden State Warriors     15      15        15   15      15      15       12   \n",
       "Houston Rockets           15      15        15   15      15      15       11   \n",
       "Indiana Pacers            15      15        15   15      15      15       12   \n",
       "Los Angeles Clippers      15      15        15   15      15      15       14   \n",
       "Los Angeles Lakers        15      15        15   15      15      15       12   \n",
       "Memphis Grizzlies         18      18        18   18      18      18       17   \n",
       "Miami Heat                15      15        15   15      15      15       11   \n",
       "Milwaukee Bucks           16      16        16   16      16      16       14   \n",
       "Minnesota Timberwolves    14      14        14   14      14      14        9   \n",
       "New Orleans Pelicans      19      19        19   19      19      19       16   \n",
       "New York Knicks           16      16        16   16      16      16       11   \n",
       "Oklahoma City Thunder     15      15        15   15      15      15       14   \n",
       "Orlando Magic             14      14        14   14      14      14       10   \n",
       "Philadelphia 76ers        15      15        15   15      15      15       15   \n",
       "Phoenix Suns              15      15        15   15      15      15       13   \n",
       "Portland Trail Blazers    15      15        15   15      15      15       15   \n",
       "Sacramento Kings          15      15        15   15      15      15       13   \n",
       "San Antonio Spurs         15      15        15   15      15      15       11   \n",
       "Toronto Raptors           15      15        15   15      15      15       10   \n",
       "Utah Jazz                 15      15        15   15      15      15       10   \n",
       "Washington Wizards        15      15        15   15      15      15       13   \n",
       "\n",
       "                        Salary  \n",
       "Team                            \n",
       "Atlanta Hawks               15  \n",
       "Boston Celtics              14  \n",
       "Brooklyn Nets               15  \n",
       "Charlotte Hornets           15  \n",
       "Chicago Bulls               15  \n",
       "Cleveland Cavaliers         14  \n",
       "Dallas Mavericks            15  \n",
       "Denver Nuggets              14  \n",
       "Detroit Pistons             15  \n",
       "Golden State Warriors       15  \n",
       "Houston Rockets             15  \n",
       "Indiana Pacers              15  \n",
       "Los Angeles Clippers        15  \n",
       "Los Angeles Lakers          15  \n",
       "Memphis Grizzlies           14  \n",
       "Miami Heat                  13  \n",
       "Milwaukee Bucks             16  \n",
       "Minnesota Timberwolves      13  \n",
       "New Orleans Pelicans        19  \n",
       "New York Knicks             16  \n",
       "Oklahoma City Thunder       15  \n",
       "Orlando Magic               14  \n",
       "Philadelphia 76ers          14  \n",
       "Phoenix Suns                15  \n",
       "Portland Trail Blazers      15  \n",
       "Sacramento Kings            15  \n",
       "San Antonio Spurs           15  \n",
       "Toronto Raptors             15  \n",
       "Utah Jazz                   15  \n",
       "Washington Wizards          15  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.groupby(\"Team\").count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3fef022",
   "metadata": {},
   "source": [
    "Veri Çerçevemizi **Takım (Team)** ismine göre gruplayarak, **Yaş (Age)** Sütununda hangi değerden kaç adet veri olduğunu bulmak istersek, **value_counts()** metodundan yararlanabiliriz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "49842633",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Team                Age \n",
       "Atlanta Hawks       24.0    4\n",
       "                    31.0    3\n",
       "                    27.0    2\n",
       "                    35.0    2\n",
       "                    22.0    1\n",
       "                           ..\n",
       "Washington Wizards  26.0    1\n",
       "                    27.0    1\n",
       "                    29.0    1\n",
       "                    32.0    1\n",
       "                    34.0    1\n",
       "Name: Age, Length: 288, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nba.groupby(\"Team\")[\"Age\"].value_counts()"
   ]
  }
 ],
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