Pie&AI_NumpyPandas_2.ipynb

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        "id": "goLS2v3fdXrp"
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      "source": [
        "import pandas as pd\n",
        "import seaborn as sns\n"
      ]
    },
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      "source": [
        "pk_df = pd.read_csv('pokemon.csv',index_col=0)"
      ],
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        "id": "e1Ist8WId-Q-"
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      "execution_count": 5,
      "outputs": []
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      "source": [
        "pk_df.head(10)"
      ],
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            "text/plain": [
              "                        Name Type 1  Type 2  ...  Speed  Generation  Legendary\n",
              "#                                            ...                              \n",
              "1                  Bulbasaur  Grass  Poison  ...     45           1      False\n",
              "2                    Ivysaur  Grass  Poison  ...     60           1      False\n",
              "3                   Venusaur  Grass  Poison  ...     80           1      False\n",
              "3      VenusaurMega Venusaur  Grass  Poison  ...     80           1      False\n",
              "4                 Charmander   Fire     NaN  ...     65           1      False\n",
              "5                 Charmeleon   Fire     NaN  ...     80           1      False\n",
              "6                  Charizard   Fire  Flying  ...    100           1      False\n",
              "6  CharizardMega Charizard X   Fire  Dragon  ...    100           1      False\n",
              "6  CharizardMega Charizard Y   Fire  Flying  ...    100           1      False\n",
              "7                   Squirtle  Water     NaN  ...     43           1      False\n",
              "\n",
              "[10 rows x 12 columns]"
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        "pk_df.Name = pk_df.Name.str.replace('.*(?=Mega)','')"
      ],
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        "id": "SdnDbXUeevVw"
      },
      "execution_count": 8,
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        "pk_df.head(10)"
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              "      <td>85</td>\n",
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              "      <td>1</td>\n",
              "      <td>False</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ee7ce64b-d377-40c1-826e-9fabca6d4b49')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "      background-color: #434B5C;\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ee7ce64b-d377-40c1-826e-9fabca6d4b49');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "               Name Type 1  Type 2  ...  Speed  Generation  Legendary\n",
              "#                                   ...                              \n",
              "1         Bulbasaur  Grass  Poison  ...     45           1      False\n",
              "2           Ivysaur  Grass  Poison  ...     60           1      False\n",
              "3          Venusaur  Grass  Poison  ...     80           1      False\n",
              "3     Mega Venusaur  Grass  Poison  ...     80           1      False\n",
              "4        Charmander   Fire     NaN  ...     65           1      False\n",
              "5        Charmeleon   Fire     NaN  ...     80           1      False\n",
              "6         Charizard   Fire  Flying  ...    100           1      False\n",
              "6  Mega Charizard X   Fire  Dragon  ...    100           1      False\n",
              "6  Mega Charizard Y   Fire  Flying  ...    100           1      False\n",
              "7          Squirtle  Water     NaN  ...     43           1      False\n",
              "\n",
              "[10 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.columns = pk_df.columns.str.lower().str.replace(' ','')"
      ],
      "metadata": {
        "id": "WrZUy_KBf2br"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df"
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
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        "id": "sYyw-3xhgY1m",
        "outputId": "da738d61-76aa-4559-fa6d-c66d9cecc764"
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      "execution_count": 19,
      "outputs": [
        {
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              "\n",
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              "      <th>1</th>\n",
              "      <td>Bulbasaur</td>\n",
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              "      <td>Charmander</td>\n",
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              "      <td>39</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>719</th>\n",
              "      <td>Diancie</td>\n",
              "      <td>Rock</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>600</td>\n",
              "      <td>50</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>50</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
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              "    <tr>\n",
              "      <th>719</th>\n",
              "      <td>Mega Diancie</td>\n",
              "      <td>Rock</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>700</td>\n",
              "      <td>50</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>110</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
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              "    <tr>\n",
              "      <th>720</th>\n",
              "      <td>HoopaHoopa Confined</td>\n",
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              "      <td>Ghost</td>\n",
              "      <td>600</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>60</td>\n",
              "      <td>150</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
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              "    <tr>\n",
              "      <th>720</th>\n",
              "      <td>HoopaHoopa Unbound</td>\n",
              "      <td>Psychic</td>\n",
              "      <td>Dark</td>\n",
              "      <td>680</td>\n",
              "      <td>80</td>\n",
              "      <td>160</td>\n",
              "      <td>60</td>\n",
              "      <td>170</td>\n",
              "      <td>130</td>\n",
              "      <td>80</td>\n",
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              "      <td>True</td>\n",
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              "      <td>Water</td>\n",
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              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>120</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>800 rows × 12 columns</p>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
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              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-557fb486-4a57-49e2-86ca-76426c0e7b84 button.colab-df-convert');\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-557fb486-4a57-49e2-86ca-76426c0e7b84');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                    name    type1   type2  ...  speed  generation  legendary\n",
              "#                                          ...                              \n",
              "1              Bulbasaur    Grass  Poison  ...     45           1      False\n",
              "2                Ivysaur    Grass  Poison  ...     60           1      False\n",
              "3               Venusaur    Grass  Poison  ...     80           1      False\n",
              "3          Mega Venusaur    Grass  Poison  ...     80           1      False\n",
              "4             Charmander     Fire     NaN  ...     65           1      False\n",
              "..                   ...      ...     ...  ...    ...         ...        ...\n",
              "719              Diancie     Rock   Fairy  ...     50           6       True\n",
              "719         Mega Diancie     Rock   Fairy  ...    110           6       True\n",
              "720  HoopaHoopa Confined  Psychic   Ghost  ...     70           6       True\n",
              "720   HoopaHoopa Unbound  Psychic    Dark  ...     80           6       True\n",
              "721            Volcanion     Fire   Water  ...     70           6       True\n",
              "\n",
              "[800 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.columns = pk_df.columns.str.replace('.','_')"
      ],
      "metadata": {
        "id": "UeCuRtzMggYM"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.sp_atk"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ubRQZ6G-gyLo",
        "outputId": "b0b1f293-8528-4580-d55a-bca9763e3c1a"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "#\n",
              "1       65\n",
              "2       80\n",
              "3      100\n",
              "3      122\n",
              "4       60\n",
              "      ... \n",
              "719    100\n",
              "719    160\n",
              "720    150\n",
              "720    170\n",
              "721    130\n",
              "Name: sp_atk, Length: 800, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.head(40)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "FpU52vYFg1qf",
        "outputId": "67e6fd1c-6962-4161-ed2f-16f71efd6994"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>type2</th>\n",
              "      <th>total</th>\n",
              "      <th>hp</th>\n",
              "      <th>attack</th>\n",
              "      <th>defense</th>\n",
              "      <th>sp_atk</th>\n",
              "      <th>sp_def</th>\n",
              "      <th>speed</th>\n",
              "      <th>generation</th>\n",
              "      <th>legendary</th>\n",
              "    </tr>\n",
              "    <tr>\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",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bulbasaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>318</td>\n",
              "      <td>45</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>65</td>\n",
              "      <td>65</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Ivysaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>405</td>\n",
              "      <td>60</td>\n",
              "      <td>62</td>\n",
              "      <td>63</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Venusaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>525</td>\n",
              "      <td>80</td>\n",
              "      <td>82</td>\n",
              "      <td>83</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Mega Venusaur</td>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>625</td>\n",
              "      <td>80</td>\n",
              "      <td>100</td>\n",
              "      <td>123</td>\n",
              "      <td>122</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Charmander</td>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>309</td>\n",
              "      <td>39</td>\n",
              "      <td>52</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Charmeleon</td>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>405</td>\n",
              "      <td>58</td>\n",
              "      <td>64</td>\n",
              "      <td>58</td>\n",
              "      <td>80</td>\n",
              "      <td>65</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Charizard</td>\n",
              "      <td>Fire</td>\n",
              "      <td>Flying</td>\n",
              "      <td>534</td>\n",
              "      <td>78</td>\n",
              "      <td>84</td>\n",
              "      <td>78</td>\n",
              "      <td>109</td>\n",
              "      <td>85</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Mega Charizard X</td>\n",
              "      <td>Fire</td>\n",
              "      <td>Dragon</td>\n",
              "      <td>634</td>\n",
              "      <td>78</td>\n",
              "      <td>130</td>\n",
              "      <td>111</td>\n",
              "      <td>130</td>\n",
              "      <td>85</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Mega Charizard Y</td>\n",
              "      <td>Fire</td>\n",
              "      <td>Flying</td>\n",
              "      <td>634</td>\n",
              "      <td>78</td>\n",
              "      <td>104</td>\n",
              "      <td>78</td>\n",
              "      <td>159</td>\n",
              "      <td>115</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Squirtle</td>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>314</td>\n",
              "      <td>44</td>\n",
              "      <td>48</td>\n",
              "      <td>65</td>\n",
              "      <td>50</td>\n",
              "      <td>64</td>\n",
              "      <td>43</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Wartortle</td>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>405</td>\n",
              "      <td>59</td>\n",
              "      <td>63</td>\n",
              "      <td>80</td>\n",
              "      <td>65</td>\n",
              "      <td>80</td>\n",
              "      <td>58</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Blastoise</td>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>530</td>\n",
              "      <td>79</td>\n",
              "      <td>83</td>\n",
              "      <td>100</td>\n",
              "      <td>85</td>\n",
              "      <td>105</td>\n",
              "      <td>78</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Mega Blastoise</td>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>630</td>\n",
              "      <td>79</td>\n",
              "      <td>103</td>\n",
              "      <td>120</td>\n",
              "      <td>135</td>\n",
              "      <td>115</td>\n",
              "      <td>78</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Caterpie</td>\n",
              "      <td>Bug</td>\n",
              "      <td>NaN</td>\n",
              "      <td>195</td>\n",
              "      <td>45</td>\n",
              "      <td>30</td>\n",
              "      <td>35</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Metapod</td>\n",
              "      <td>Bug</td>\n",
              "      <td>NaN</td>\n",
              "      <td>205</td>\n",
              "      <td>50</td>\n",
              "      <td>20</td>\n",
              "      <td>55</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>30</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Butterfree</td>\n",
              "      <td>Bug</td>\n",
              "      <td>Flying</td>\n",
              "      <td>395</td>\n",
              "      <td>60</td>\n",
              "      <td>45</td>\n",
              "      <td>50</td>\n",
              "      <td>90</td>\n",
              "      <td>80</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Weedle</td>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>195</td>\n",
              "      <td>40</td>\n",
              "      <td>35</td>\n",
              "      <td>30</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>50</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Kakuna</td>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>205</td>\n",
              "      <td>45</td>\n",
              "      <td>25</td>\n",
              "      <td>50</td>\n",
              "      <td>25</td>\n",
              "      <td>25</td>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Beedrill</td>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>395</td>\n",
              "      <td>65</td>\n",
              "      <td>90</td>\n",
              "      <td>40</td>\n",
              "      <td>45</td>\n",
              "      <td>80</td>\n",
              "      <td>75</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Mega Beedrill</td>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>495</td>\n",
              "      <td>65</td>\n",
              "      <td>150</td>\n",
              "      <td>40</td>\n",
              "      <td>15</td>\n",
              "      <td>80</td>\n",
              "      <td>145</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Pidgey</td>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>251</td>\n",
              "      <td>40</td>\n",
              "      <td>45</td>\n",
              "      <td>40</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Pidgeotto</td>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>349</td>\n",
              "      <td>63</td>\n",
              "      <td>60</td>\n",
              "      <td>55</td>\n",
              "      <td>50</td>\n",
              "      <td>50</td>\n",
              "      <td>71</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Pidgeot</td>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>479</td>\n",
              "      <td>83</td>\n",
              "      <td>80</td>\n",
              "      <td>75</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>101</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Mega Pidgeot</td>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>579</td>\n",
              "      <td>83</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>135</td>\n",
              "      <td>80</td>\n",
              "      <td>121</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Rattata</td>\n",
              "      <td>Normal</td>\n",
              "      <td>NaN</td>\n",
              "      <td>253</td>\n",
              "      <td>30</td>\n",
              "      <td>56</td>\n",
              "      <td>35</td>\n",
              "      <td>25</td>\n",
              "      <td>35</td>\n",
              "      <td>72</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Raticate</td>\n",
              "      <td>Normal</td>\n",
              "      <td>NaN</td>\n",
              "      <td>413</td>\n",
              "      <td>55</td>\n",
              "      <td>81</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>70</td>\n",
              "      <td>97</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Spearow</td>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>262</td>\n",
              "      <td>40</td>\n",
              "      <td>60</td>\n",
              "      <td>30</td>\n",
              "      <td>31</td>\n",
              "      <td>31</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Fearow</td>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>442</td>\n",
              "      <td>65</td>\n",
              "      <td>90</td>\n",
              "      <td>65</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Ekans</td>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>288</td>\n",
              "      <td>35</td>\n",
              "      <td>60</td>\n",
              "      <td>44</td>\n",
              "      <td>40</td>\n",
              "      <td>54</td>\n",
              "      <td>55</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Arbok</td>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>438</td>\n",
              "      <td>60</td>\n",
              "      <td>85</td>\n",
              "      <td>69</td>\n",
              "      <td>65</td>\n",
              "      <td>79</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Pikachu</td>\n",
              "      <td>Electric</td>\n",
              "      <td>NaN</td>\n",
              "      <td>320</td>\n",
              "      <td>35</td>\n",
              "      <td>55</td>\n",
              "      <td>40</td>\n",
              "      <td>50</td>\n",
              "      <td>50</td>\n",
              "      <td>90</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Raichu</td>\n",
              "      <td>Electric</td>\n",
              "      <td>NaN</td>\n",
              "      <td>485</td>\n",
              "      <td>60</td>\n",
              "      <td>90</td>\n",
              "      <td>55</td>\n",
              "      <td>90</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Sandshrew</td>\n",
              "      <td>Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>300</td>\n",
              "      <td>50</td>\n",
              "      <td>75</td>\n",
              "      <td>85</td>\n",
              "      <td>20</td>\n",
              "      <td>30</td>\n",
              "      <td>40</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Sandslash</td>\n",
              "      <td>Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>450</td>\n",
              "      <td>75</td>\n",
              "      <td>100</td>\n",
              "      <td>110</td>\n",
              "      <td>45</td>\n",
              "      <td>55</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Nidoran♀</td>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>275</td>\n",
              "      <td>55</td>\n",
              "      <td>47</td>\n",
              "      <td>52</td>\n",
              "      <td>40</td>\n",
              "      <td>40</td>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>Nidorina</td>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365</td>\n",
              "      <td>70</td>\n",
              "      <td>62</td>\n",
              "      <td>67</td>\n",
              "      <td>55</td>\n",
              "      <td>55</td>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>Nidoqueen</td>\n",
              "      <td>Poison</td>\n",
              "      <td>Ground</td>\n",
              "      <td>505</td>\n",
              "      <td>90</td>\n",
              "      <td>92</td>\n",
              "      <td>87</td>\n",
              "      <td>75</td>\n",
              "      <td>85</td>\n",
              "      <td>76</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>Nidoran♂</td>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>273</td>\n",
              "      <td>46</td>\n",
              "      <td>57</td>\n",
              "      <td>40</td>\n",
              "      <td>40</td>\n",
              "      <td>40</td>\n",
              "      <td>50</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>Nidorino</td>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365</td>\n",
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              "      <td>72</td>\n",
              "      <td>57</td>\n",
              "      <td>55</td>\n",
              "      <td>55</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>Nidoking</td>\n",
              "      <td>Poison</td>\n",
              "      <td>Ground</td>\n",
              "      <td>505</td>\n",
              "      <td>81</td>\n",
              "      <td>102</td>\n",
              "      <td>77</td>\n",
              "      <td>85</td>\n",
              "      <td>75</td>\n",
              "      <td>85</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
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            ],
            "text/plain": [
              "                name     type1   type2  ...  speed  generation  legendary\n",
              "#                                       ...                              \n",
              "1          Bulbasaur     Grass  Poison  ...     45           1      False\n",
              "2            Ivysaur     Grass  Poison  ...     60           1      False\n",
              "3           Venusaur     Grass  Poison  ...     80           1      False\n",
              "3      Mega Venusaur     Grass  Poison  ...     80           1      False\n",
              "4         Charmander      Fire     NaN  ...     65           1      False\n",
              "5         Charmeleon      Fire     NaN  ...     80           1      False\n",
              "6          Charizard      Fire  Flying  ...    100           1      False\n",
              "6   Mega Charizard X      Fire  Dragon  ...    100           1      False\n",
              "6   Mega Charizard Y      Fire  Flying  ...    100           1      False\n",
              "7           Squirtle     Water     NaN  ...     43           1      False\n",
              "8          Wartortle     Water     NaN  ...     58           1      False\n",
              "9          Blastoise     Water     NaN  ...     78           1      False\n",
              "9     Mega Blastoise     Water     NaN  ...     78           1      False\n",
              "10          Caterpie       Bug     NaN  ...     45           1      False\n",
              "11           Metapod       Bug     NaN  ...     30           1      False\n",
              "12        Butterfree       Bug  Flying  ...     70           1      False\n",
              "13            Weedle       Bug  Poison  ...     50           1      False\n",
              "14            Kakuna       Bug  Poison  ...     35           1      False\n",
              "15          Beedrill       Bug  Poison  ...     75           1      False\n",
              "15     Mega Beedrill       Bug  Poison  ...    145           1      False\n",
              "16            Pidgey    Normal  Flying  ...     56           1      False\n",
              "17         Pidgeotto    Normal  Flying  ...     71           1      False\n",
              "18           Pidgeot    Normal  Flying  ...    101           1      False\n",
              "18      Mega Pidgeot    Normal  Flying  ...    121           1      False\n",
              "19           Rattata    Normal     NaN  ...     72           1      False\n",
              "20          Raticate    Normal     NaN  ...     97           1      False\n",
              "21           Spearow    Normal  Flying  ...     70           1      False\n",
              "22            Fearow    Normal  Flying  ...    100           1      False\n",
              "23             Ekans    Poison     NaN  ...     55           1      False\n",
              "24             Arbok    Poison     NaN  ...     80           1      False\n",
              "25           Pikachu  Electric     NaN  ...     90           1      False\n",
              "26            Raichu  Electric     NaN  ...    110           1      False\n",
              "27         Sandshrew    Ground     NaN  ...     40           1      False\n",
              "28         Sandslash    Ground     NaN  ...     65           1      False\n",
              "29          Nidoran♀    Poison     NaN  ...     41           1      False\n",
              "30          Nidorina    Poison     NaN  ...     56           1      False\n",
              "31         Nidoqueen    Poison  Ground  ...     76           1      False\n",
              "32          Nidoran♂    Poison     NaN  ...     50           1      False\n",
              "33          Nidorino    Poison     NaN  ...     65           1      False\n",
              "34          Nidoking    Poison  Ground  ...     85           1      False\n",
              "\n",
              "[40 rows x 12 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df = pk_df.set_index('name')"
      ],
      "metadata": {
        "id": "f_Oa9VInhFFM"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.head(50)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "szCDXfIMhRNf",
        "outputId": "541c75c5-e5db-49b7-d7bc-8405effadcf1"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>type1</th>\n",
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              "      <th>total</th>\n",
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              "      <th>Bulbasaur</th>\n",
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              "      <th>Venusaur</th>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>525</td>\n",
              "      <td>80</td>\n",
              "      <td>82</td>\n",
              "      <td>83</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>80</td>\n",
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              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mega Venusaur</th>\n",
              "      <td>Grass</td>\n",
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              "      <td>625</td>\n",
              "      <td>80</td>\n",
              "      <td>100</td>\n",
              "      <td>123</td>\n",
              "      <td>122</td>\n",
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              "      <td>False</td>\n",
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              "      <th>Charmander</th>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>309</td>\n",
              "      <td>39</td>\n",
              "      <td>52</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Charmeleon</th>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>405</td>\n",
              "      <td>58</td>\n",
              "      <td>64</td>\n",
              "      <td>58</td>\n",
              "      <td>80</td>\n",
              "      <td>65</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Charizard</th>\n",
              "      <td>Fire</td>\n",
              "      <td>Flying</td>\n",
              "      <td>534</td>\n",
              "      <td>78</td>\n",
              "      <td>84</td>\n",
              "      <td>78</td>\n",
              "      <td>109</td>\n",
              "      <td>85</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mega Charizard X</th>\n",
              "      <td>Fire</td>\n",
              "      <td>Dragon</td>\n",
              "      <td>634</td>\n",
              "      <td>78</td>\n",
              "      <td>130</td>\n",
              "      <td>111</td>\n",
              "      <td>130</td>\n",
              "      <td>85</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mega Charizard Y</th>\n",
              "      <td>Fire</td>\n",
              "      <td>Flying</td>\n",
              "      <td>634</td>\n",
              "      <td>78</td>\n",
              "      <td>104</td>\n",
              "      <td>78</td>\n",
              "      <td>159</td>\n",
              "      <td>115</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Squirtle</th>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>314</td>\n",
              "      <td>44</td>\n",
              "      <td>48</td>\n",
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              "      <td>64</td>\n",
              "      <td>43</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wartortle</th>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>405</td>\n",
              "      <td>59</td>\n",
              "      <td>63</td>\n",
              "      <td>80</td>\n",
              "      <td>65</td>\n",
              "      <td>80</td>\n",
              "      <td>58</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Blastoise</th>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>530</td>\n",
              "      <td>79</td>\n",
              "      <td>83</td>\n",
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              "      <td>105</td>\n",
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              "    <tr>\n",
              "      <th>Mega Blastoise</th>\n",
              "      <td>Water</td>\n",
              "      <td>NaN</td>\n",
              "      <td>630</td>\n",
              "      <td>79</td>\n",
              "      <td>103</td>\n",
              "      <td>120</td>\n",
              "      <td>135</td>\n",
              "      <td>115</td>\n",
              "      <td>78</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>Caterpie</th>\n",
              "      <td>Bug</td>\n",
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              "      <td>195</td>\n",
              "      <td>45</td>\n",
              "      <td>30</td>\n",
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              "      <td>20</td>\n",
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              "    <tr>\n",
              "      <th>Metapod</th>\n",
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              "      <td>25</td>\n",
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              "      <td>60</td>\n",
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              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Weedle</th>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>195</td>\n",
              "      <td>40</td>\n",
              "      <td>35</td>\n",
              "      <td>30</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>50</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kakuna</th>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>205</td>\n",
              "      <td>45</td>\n",
              "      <td>25</td>\n",
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              "      <td>25</td>\n",
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              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Beedrill</th>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>395</td>\n",
              "      <td>65</td>\n",
              "      <td>90</td>\n",
              "      <td>40</td>\n",
              "      <td>45</td>\n",
              "      <td>80</td>\n",
              "      <td>75</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mega Beedrill</th>\n",
              "      <td>Bug</td>\n",
              "      <td>Poison</td>\n",
              "      <td>495</td>\n",
              "      <td>65</td>\n",
              "      <td>150</td>\n",
              "      <td>40</td>\n",
              "      <td>15</td>\n",
              "      <td>80</td>\n",
              "      <td>145</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pidgey</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>251</td>\n",
              "      <td>40</td>\n",
              "      <td>45</td>\n",
              "      <td>40</td>\n",
              "      <td>35</td>\n",
              "      <td>35</td>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pidgeotto</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>349</td>\n",
              "      <td>63</td>\n",
              "      <td>60</td>\n",
              "      <td>55</td>\n",
              "      <td>50</td>\n",
              "      <td>50</td>\n",
              "      <td>71</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pidgeot</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>479</td>\n",
              "      <td>83</td>\n",
              "      <td>80</td>\n",
              "      <td>75</td>\n",
              "      <td>70</td>\n",
              "      <td>70</td>\n",
              "      <td>101</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mega Pidgeot</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>579</td>\n",
              "      <td>83</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>135</td>\n",
              "      <td>80</td>\n",
              "      <td>121</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rattata</th>\n",
              "      <td>Normal</td>\n",
              "      <td>NaN</td>\n",
              "      <td>253</td>\n",
              "      <td>30</td>\n",
              "      <td>56</td>\n",
              "      <td>35</td>\n",
              "      <td>25</td>\n",
              "      <td>35</td>\n",
              "      <td>72</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Raticate</th>\n",
              "      <td>Normal</td>\n",
              "      <td>NaN</td>\n",
              "      <td>413</td>\n",
              "      <td>55</td>\n",
              "      <td>81</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>70</td>\n",
              "      <td>97</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Spearow</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>262</td>\n",
              "      <td>40</td>\n",
              "      <td>60</td>\n",
              "      <td>30</td>\n",
              "      <td>31</td>\n",
              "      <td>31</td>\n",
              "      <td>70</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fearow</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Flying</td>\n",
              "      <td>442</td>\n",
              "      <td>65</td>\n",
              "      <td>90</td>\n",
              "      <td>65</td>\n",
              "      <td>61</td>\n",
              "      <td>61</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ekans</th>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>288</td>\n",
              "      <td>35</td>\n",
              "      <td>60</td>\n",
              "      <td>44</td>\n",
              "      <td>40</td>\n",
              "      <td>54</td>\n",
              "      <td>55</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Arbok</th>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>438</td>\n",
              "      <td>60</td>\n",
              "      <td>85</td>\n",
              "      <td>69</td>\n",
              "      <td>65</td>\n",
              "      <td>79</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Pikachu</th>\n",
              "      <td>Electric</td>\n",
              "      <td>NaN</td>\n",
              "      <td>320</td>\n",
              "      <td>35</td>\n",
              "      <td>55</td>\n",
              "      <td>40</td>\n",
              "      <td>50</td>\n",
              "      <td>50</td>\n",
              "      <td>90</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Raichu</th>\n",
              "      <td>Electric</td>\n",
              "      <td>NaN</td>\n",
              "      <td>485</td>\n",
              "      <td>60</td>\n",
              "      <td>90</td>\n",
              "      <td>55</td>\n",
              "      <td>90</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sandshrew</th>\n",
              "      <td>Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>300</td>\n",
              "      <td>50</td>\n",
              "      <td>75</td>\n",
              "      <td>85</td>\n",
              "      <td>20</td>\n",
              "      <td>30</td>\n",
              "      <td>40</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sandslash</th>\n",
              "      <td>Ground</td>\n",
              "      <td>NaN</td>\n",
              "      <td>450</td>\n",
              "      <td>75</td>\n",
              "      <td>100</td>\n",
              "      <td>110</td>\n",
              "      <td>45</td>\n",
              "      <td>55</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nidoran♀</th>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>275</td>\n",
              "      <td>55</td>\n",
              "      <td>47</td>\n",
              "      <td>52</td>\n",
              "      <td>40</td>\n",
              "      <td>40</td>\n",
              "      <td>41</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nidorina</th>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365</td>\n",
              "      <td>70</td>\n",
              "      <td>62</td>\n",
              "      <td>67</td>\n",
              "      <td>55</td>\n",
              "      <td>55</td>\n",
              "      <td>56</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nidoqueen</th>\n",
              "      <td>Poison</td>\n",
              "      <td>Ground</td>\n",
              "      <td>505</td>\n",
              "      <td>90</td>\n",
              "      <td>92</td>\n",
              "      <td>87</td>\n",
              "      <td>75</td>\n",
              "      <td>85</td>\n",
              "      <td>76</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nidoran♂</th>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>273</td>\n",
              "      <td>46</td>\n",
              "      <td>57</td>\n",
              "      <td>40</td>\n",
              "      <td>40</td>\n",
              "      <td>40</td>\n",
              "      <td>50</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nidorino</th>\n",
              "      <td>Poison</td>\n",
              "      <td>NaN</td>\n",
              "      <td>365</td>\n",
              "      <td>61</td>\n",
              "      <td>72</td>\n",
              "      <td>57</td>\n",
              "      <td>55</td>\n",
              "      <td>55</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nidoking</th>\n",
              "      <td>Poison</td>\n",
              "      <td>Ground</td>\n",
              "      <td>505</td>\n",
              "      <td>81</td>\n",
              "      <td>102</td>\n",
              "      <td>77</td>\n",
              "      <td>85</td>\n",
              "      <td>75</td>\n",
              "      <td>85</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Clefairy</th>\n",
              "      <td>Fairy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>323</td>\n",
              "      <td>70</td>\n",
              "      <td>45</td>\n",
              "      <td>48</td>\n",
              "      <td>60</td>\n",
              "      <td>65</td>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Clefable</th>\n",
              "      <td>Fairy</td>\n",
              "      <td>NaN</td>\n",
              "      <td>483</td>\n",
              "      <td>95</td>\n",
              "      <td>70</td>\n",
              "      <td>73</td>\n",
              "      <td>95</td>\n",
              "      <td>90</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Vulpix</th>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>299</td>\n",
              "      <td>38</td>\n",
              "      <td>41</td>\n",
              "      <td>40</td>\n",
              "      <td>50</td>\n",
              "      <td>65</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ninetales</th>\n",
              "      <td>Fire</td>\n",
              "      <td>NaN</td>\n",
              "      <td>505</td>\n",
              "      <td>73</td>\n",
              "      <td>76</td>\n",
              "      <td>75</td>\n",
              "      <td>81</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Jigglypuff</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>270</td>\n",
              "      <td>115</td>\n",
              "      <td>45</td>\n",
              "      <td>20</td>\n",
              "      <td>45</td>\n",
              "      <td>25</td>\n",
              "      <td>20</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wigglytuff</th>\n",
              "      <td>Normal</td>\n",
              "      <td>Fairy</td>\n",
              "      <td>435</td>\n",
              "      <td>140</td>\n",
              "      <td>70</td>\n",
              "      <td>45</td>\n",
              "      <td>85</td>\n",
              "      <td>50</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Zubat</th>\n",
              "      <td>Poison</td>\n",
              "      <td>Flying</td>\n",
              "      <td>245</td>\n",
              "      <td>40</td>\n",
              "      <td>45</td>\n",
              "      <td>35</td>\n",
              "      <td>30</td>\n",
              "      <td>40</td>\n",
              "      <td>55</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Golbat</th>\n",
              "      <td>Poison</td>\n",
              "      <td>Flying</td>\n",
              "      <td>455</td>\n",
              "      <td>75</td>\n",
              "      <td>80</td>\n",
              "      <td>70</td>\n",
              "      <td>65</td>\n",
              "      <td>75</td>\n",
              "      <td>90</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Oddish</th>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>320</td>\n",
              "      <td>45</td>\n",
              "      <td>50</td>\n",
              "      <td>55</td>\n",
              "      <td>75</td>\n",
              "      <td>65</td>\n",
              "      <td>30</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Gloom</th>\n",
              "      <td>Grass</td>\n",
              "      <td>Poison</td>\n",
              "      <td>395</td>\n",
              "      <td>60</td>\n",
              "      <td>65</td>\n",
              "      <td>70</td>\n",
              "      <td>85</td>\n",
              "      <td>75</td>\n",
              "      <td>40</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
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            "text/plain": [
              "                     type1   type2  total  ...  speed  generation  legendary\n",
              "name                                       ...                              \n",
              "Bulbasaur            Grass  Poison    318  ...     45           1      False\n",
              "Ivysaur              Grass  Poison    405  ...     60           1      False\n",
              "Venusaur             Grass  Poison    525  ...     80           1      False\n",
              "Mega Venusaur        Grass  Poison    625  ...     80           1      False\n",
              "Charmander            Fire     NaN    309  ...     65           1      False\n",
              "Charmeleon            Fire     NaN    405  ...     80           1      False\n",
              "Charizard             Fire  Flying    534  ...    100           1      False\n",
              "Mega Charizard X      Fire  Dragon    634  ...    100           1      False\n",
              "Mega Charizard Y      Fire  Flying    634  ...    100           1      False\n",
              "Squirtle             Water     NaN    314  ...     43           1      False\n",
              "Wartortle            Water     NaN    405  ...     58           1      False\n",
              "Blastoise            Water     NaN    530  ...     78           1      False\n",
              "Mega Blastoise       Water     NaN    630  ...     78           1      False\n",
              "Caterpie               Bug     NaN    195  ...     45           1      False\n",
              "Metapod                Bug     NaN    205  ...     30           1      False\n",
              "Butterfree             Bug  Flying    395  ...     70           1      False\n",
              "Weedle                 Bug  Poison    195  ...     50           1      False\n",
              "Kakuna                 Bug  Poison    205  ...     35           1      False\n",
              "Beedrill               Bug  Poison    395  ...     75           1      False\n",
              "Mega Beedrill          Bug  Poison    495  ...    145           1      False\n",
              "Pidgey              Normal  Flying    251  ...     56           1      False\n",
              "Pidgeotto           Normal  Flying    349  ...     71           1      False\n",
              "Pidgeot             Normal  Flying    479  ...    101           1      False\n",
              "Mega Pidgeot        Normal  Flying    579  ...    121           1      False\n",
              "Rattata             Normal     NaN    253  ...     72           1      False\n",
              "Raticate            Normal     NaN    413  ...     97           1      False\n",
              "Spearow             Normal  Flying    262  ...     70           1      False\n",
              "Fearow              Normal  Flying    442  ...    100           1      False\n",
              "Ekans               Poison     NaN    288  ...     55           1      False\n",
              "Arbok               Poison     NaN    438  ...     80           1      False\n",
              "Pikachu           Electric     NaN    320  ...     90           1      False\n",
              "Raichu            Electric     NaN    485  ...    110           1      False\n",
              "Sandshrew           Ground     NaN    300  ...     40           1      False\n",
              "Sandslash           Ground     NaN    450  ...     65           1      False\n",
              "Nidoran♀            Poison     NaN    275  ...     41           1      False\n",
              "Nidorina            Poison     NaN    365  ...     56           1      False\n",
              "Nidoqueen           Poison  Ground    505  ...     76           1      False\n",
              "Nidoran♂            Poison     NaN    273  ...     50           1      False\n",
              "Nidorino            Poison     NaN    365  ...     65           1      False\n",
              "Nidoking            Poison  Ground    505  ...     85           1      False\n",
              "Clefairy             Fairy     NaN    323  ...     35           1      False\n",
              "Clefable             Fairy     NaN    483  ...     60           1      False\n",
              "Vulpix                Fire     NaN    299  ...     65           1      False\n",
              "Ninetales             Fire     NaN    505  ...    100           1      False\n",
              "Jigglypuff          Normal   Fairy    270  ...     20           1      False\n",
              "Wigglytuff          Normal   Fairy    435  ...     45           1      False\n",
              "Zubat               Poison  Flying    245  ...     55           1      False\n",
              "Golbat              Poison  Flying    455  ...     90           1      False\n",
              "Oddish               Grass  Poison    320  ...     30           1      False\n",
              "Gloom                Grass  Poison    395  ...     40           1      False\n",
              "\n",
              "[50 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.isnull().any()"
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          "data": {
            "text/plain": [
              "type1         False\n",
              "type2          True\n",
              "total         False\n",
              "hp            False\n",
              "attack        False\n",
              "defense       False\n",
              "sp_atk        False\n",
              "sp_def        False\n",
              "speed         False\n",
              "generation    False\n",
              "legendary     False\n",
              "dtype: bool"
            ]
          },
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          "execution_count": 28
        }
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    {
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              "      <td>50</td>\n",
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              "      <td>110</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>110</td>\n",
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              "      <td>Ghost</td>\n",
              "      <td>600</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>60</td>\n",
              "      <td>150</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
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              "      <td>80</td>\n",
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              "      <td>60</td>\n",
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              "      <td>110</td>\n",
              "      <td>120</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
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              "      <td>6</td>\n",
              "      <td>True</td>\n",
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              "<p>800 rows × 11 columns</p>\n",
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            "text/plain": [
              "                       type1   type2  total  ...  speed  generation  legendary\n",
              "name                                         ...                              \n",
              "Bulbasaur              Grass  Poison    318  ...     45           1      False\n",
              "Ivysaur                Grass  Poison    405  ...     60           1      False\n",
              "Venusaur               Grass  Poison    525  ...     80           1      False\n",
              "Mega Venusaur          Grass  Poison    625  ...     80           1      False\n",
              "Charmander              Fire     NaN    309  ...     65           1      False\n",
              "...                      ...     ...    ...  ...    ...         ...        ...\n",
              "Diancie                 Rock   Fairy    600  ...     50           6       True\n",
              "Mega Diancie            Rock   Fairy    700  ...    110           6       True\n",
              "HoopaHoopa Confined  Psychic   Ghost    600  ...     70           6       True\n",
              "HoopaHoopa Unbound   Psychic    Dark    680  ...     80           6       True\n",
              "Volcanion               Fire   Water    600  ...     70           6       True\n",
              "\n",
              "[800 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.isna().sum()"
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      "metadata": {
        "colab": {
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        },
        "id": "G3VfB8cFh_WN",
        "outputId": "8f42cc31-26e5-4266-e722-24280b552906"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "type1           0\n",
              "type2         386\n",
              "total           0\n",
              "hp              0\n",
              "attack          0\n",
              "defense         0\n",
              "sp_atk          0\n",
              "sp_def          0\n",
              "speed           0\n",
              "generation      0\n",
              "legendary       0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
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        "pk_df"
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              "      <td>110</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HoopaHoopa Confined</th>\n",
              "      <td>Psychic</td>\n",
              "      <td>Ghost</td>\n",
              "      <td>600</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>60</td>\n",
              "      <td>150</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HoopaHoopa Unbound</th>\n",
              "      <td>Psychic</td>\n",
              "      <td>Dark</td>\n",
              "      <td>680</td>\n",
              "      <td>80</td>\n",
              "      <td>160</td>\n",
              "      <td>60</td>\n",
              "      <td>170</td>\n",
              "      <td>130</td>\n",
              "      <td>80</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Volcanion</th>\n",
              "      <td>Fire</td>\n",
              "      <td>Water</td>\n",
              "      <td>600</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>120</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>800 rows × 11 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-874ebeb0-9389-4914-bdbc-0e1c85224bf1')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "\n",
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              "\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-874ebeb0-9389-4914-bdbc-0e1c85224bf1');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                       type1   type2  total  ...  speed  generation  legendary\n",
              "name                                         ...                              \n",
              "Bulbasaur              Grass  Poison    318  ...     45           1      False\n",
              "Ivysaur                Grass  Poison    405  ...     60           1      False\n",
              "Venusaur               Grass  Poison    525  ...     80           1      False\n",
              "Mega Venusaur          Grass  Poison    625  ...     80           1      False\n",
              "Charmander              Fire     NaN    309  ...     65           1      False\n",
              "...                      ...     ...    ...  ...    ...         ...        ...\n",
              "Diancie                 Rock   Fairy    600  ...     50           6       True\n",
              "Mega Diancie            Rock   Fairy    700  ...    110           6       True\n",
              "HoopaHoopa Confined  Psychic   Ghost    600  ...     70           6       True\n",
              "HoopaHoopa Unbound   Psychic    Dark    680  ...     80           6       True\n",
              "Volcanion               Fire   Water    600  ...     70           6       True\n",
              "\n",
              "[800 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.type2 = pk_df['type2'].fillna('False')"
      ],
      "metadata": {
        "id": "zaBnTNWRiOWh"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gFsZMEYripy_",
        "outputId": "85fb7fd2-5fcf-4f0c-c42d-a86233b60d6b"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "type1         0\n",
              "type2         0\n",
              "total         0\n",
              "hp            0\n",
              "attack        0\n",
              "defense       0\n",
              "sp_atk        0\n",
              "sp_def        0\n",
              "speed         0\n",
              "generation    0\n",
              "legendary     0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "VO2tHfSMirOS",
        "outputId": "77c4c1de-ea22-427a-d658-d2f57ebfa71f"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th></th>\n",
              "      <th>type1</th>\n",
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              "      <td>309</td>\n",
              "      <td>39</td>\n",
              "      <td>52</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
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              "    <tr>\n",
              "      <th>Charmeleon</th>\n",
              "      <td>Fire</td>\n",
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              "      <td>405</td>\n",
              "      <td>58</td>\n",
              "      <td>64</td>\n",
              "      <td>58</td>\n",
              "      <td>80</td>\n",
              "      <td>65</td>\n",
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              "      <td>84</td>\n",
              "      <td>78</td>\n",
              "      <td>109</td>\n",
              "      <td>85</td>\n",
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              "      <td>634</td>\n",
              "      <td>78</td>\n",
              "      <td>130</td>\n",
              "      <td>111</td>\n",
              "      <td>130</td>\n",
              "      <td>85</td>\n",
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              "      <td>104</td>\n",
              "      <td>78</td>\n",
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              "      <td>44</td>\n",
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              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
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              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "  "
            ],
            "text/plain": [
              "                  type1   type2  total  ...  speed  generation  legendary\n",
              "name                                    ...                              \n",
              "Bulbasaur         Grass  Poison    318  ...     45           1      False\n",
              "Ivysaur           Grass  Poison    405  ...     60           1      False\n",
              "Venusaur          Grass  Poison    525  ...     80           1      False\n",
              "Mega Venusaur     Grass  Poison    625  ...     80           1      False\n",
              "Charmander         Fire   False    309  ...     65           1      False\n",
              "Charmeleon         Fire   False    405  ...     80           1      False\n",
              "Charizard          Fire  Flying    534  ...    100           1      False\n",
              "Mega Charizard X   Fire  Dragon    634  ...    100           1      False\n",
              "Mega Charizard Y   Fire  Flying    634  ...    100           1      False\n",
              "Squirtle          Water   False    314  ...     43           1      False\n",
              "\n",
              "[10 rows x 11 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.drop('type2',axis=1,inplace=True)"
      ],
      "metadata": {
        "id": "qLag77vuiwW4"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "zkyrqQEHi7Cx",
        "outputId": "022aef39-6fd4-4291-d739-ef241f6361f2"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "    .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>type1</th>\n",
              "      <th>total</th>\n",
              "      <th>hp</th>\n",
              "      <th>attack</th>\n",
              "      <th>defense</th>\n",
              "      <th>sp_atk</th>\n",
              "      <th>sp_def</th>\n",
              "      <th>speed</th>\n",
              "      <th>generation</th>\n",
              "      <th>legendary</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>name</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",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Bulbasaur</th>\n",
              "      <td>Grass</td>\n",
              "      <td>318</td>\n",
              "      <td>45</td>\n",
              "      <td>49</td>\n",
              "      <td>49</td>\n",
              "      <td>65</td>\n",
              "      <td>65</td>\n",
              "      <td>45</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ivysaur</th>\n",
              "      <td>Grass</td>\n",
              "      <td>405</td>\n",
              "      <td>60</td>\n",
              "      <td>62</td>\n",
              "      <td>63</td>\n",
              "      <td>80</td>\n",
              "      <td>80</td>\n",
              "      <td>60</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Venusaur</th>\n",
              "      <td>Grass</td>\n",
              "      <td>525</td>\n",
              "      <td>80</td>\n",
              "      <td>82</td>\n",
              "      <td>83</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mega Venusaur</th>\n",
              "      <td>Grass</td>\n",
              "      <td>625</td>\n",
              "      <td>80</td>\n",
              "      <td>100</td>\n",
              "      <td>123</td>\n",
              "      <td>122</td>\n",
              "      <td>120</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Charmander</th>\n",
              "      <td>Fire</td>\n",
              "      <td>309</td>\n",
              "      <td>39</td>\n",
              "      <td>52</td>\n",
              "      <td>43</td>\n",
              "      <td>60</td>\n",
              "      <td>50</td>\n",
              "      <td>65</td>\n",
              "      <td>1</td>\n",
              "      <td>False</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",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Diancie</th>\n",
              "      <td>Rock</td>\n",
              "      <td>600</td>\n",
              "      <td>50</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>100</td>\n",
              "      <td>150</td>\n",
              "      <td>50</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mega Diancie</th>\n",
              "      <td>Rock</td>\n",
              "      <td>700</td>\n",
              "      <td>50</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>160</td>\n",
              "      <td>110</td>\n",
              "      <td>110</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HoopaHoopa Confined</th>\n",
              "      <td>Psychic</td>\n",
              "      <td>600</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>60</td>\n",
              "      <td>150</td>\n",
              "      <td>130</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>HoopaHoopa Unbound</th>\n",
              "      <td>Psychic</td>\n",
              "      <td>680</td>\n",
              "      <td>80</td>\n",
              "      <td>160</td>\n",
              "      <td>60</td>\n",
              "      <td>170</td>\n",
              "      <td>130</td>\n",
              "      <td>80</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Volcanion</th>\n",
              "      <td>Fire</td>\n",
              "      <td>600</td>\n",
              "      <td>80</td>\n",
              "      <td>110</td>\n",
              "      <td>120</td>\n",
              "      <td>130</td>\n",
              "      <td>90</td>\n",
              "      <td>70</td>\n",
              "      <td>6</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>800 rows × 10 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8ee2fc65-8631-4554-bb18-6a7b5d8389d2')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8ee2fc65-8631-4554-bb18-6a7b5d8389d2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8ee2fc65-8631-4554-bb18-6a7b5d8389d2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                       type1  total  hp  ...  speed  generation  legendary\n",
              "name                                     ...                              \n",
              "Bulbasaur              Grass    318  45  ...     45           1      False\n",
              "Ivysaur                Grass    405  60  ...     60           1      False\n",
              "Venusaur               Grass    525  80  ...     80           1      False\n",
              "Mega Venusaur          Grass    625  80  ...     80           1      False\n",
              "Charmander              Fire    309  39  ...     65           1      False\n",
              "...                      ...    ...  ..  ...    ...         ...        ...\n",
              "Diancie                 Rock    600  50  ...     50           6       True\n",
              "Mega Diancie            Rock    700  50  ...    110           6       True\n",
              "HoopaHoopa Confined  Psychic    600  80  ...     70           6       True\n",
              "HoopaHoopa Unbound   Psychic    680  80  ...     80           6       True\n",
              "Volcanion               Fire    600  80  ...     70           6       True\n",
              "\n",
              "[800 rows x 10 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.type1.unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rXo67o39jPgR",
        "outputId": "a0b141e2-734a-4076-c8a7-54d2df7d727a"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Grass', 'Fire', 'Water', 'Bug', 'Normal', 'Poison', 'Electric',\n",
              "       'Ground', 'Fairy', 'Fighting', 'Psychic', 'Rock', 'Ghost', 'Ice',\n",
              "       'Dragon', 'Dark', 'Steel', 'Flying'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.type1.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lu9va7A0jadj",
        "outputId": "190a4c8f-6d3f-4688-dd31-b5b54aebd8ef"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Water       112\n",
              "Normal       98\n",
              "Grass        70\n",
              "Bug          69\n",
              "Psychic      57\n",
              "Fire         52\n",
              "Rock         44\n",
              "Electric     44\n",
              "Dragon       32\n",
              "Ghost        32\n",
              "Ground       32\n",
              "Dark         31\n",
              "Poison       28\n",
              "Steel        27\n",
              "Fighting     27\n",
              "Ice          24\n",
              "Fairy        17\n",
              "Flying        4\n",
              "Name: type1, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "YjgUwobbjmBk",
        "outputId": "1fdbd3a0-2432-4e39-8281-e8385441b141"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-c63493f7-6664-499f-84a9-e3be06f037de\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>total</th>\n",
              "      <th>hp</th>\n",
              "      <th>attack</th>\n",
              "      <th>defense</th>\n",
              "      <th>sp_atk</th>\n",
              "      <th>sp_def</th>\n",
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              "      <th>generation</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>800.00000</td>\n",
              "      <td>800.000000</td>\n",
              "      <td>800.000000</td>\n",
              "      <td>800.000000</td>\n",
              "      <td>800.000000</td>\n",
              "      <td>800.000000</td>\n",
              "      <td>800.000000</td>\n",
              "      <td>800.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>435.10250</td>\n",
              "      <td>69.258750</td>\n",
              "      <td>79.001250</td>\n",
              "      <td>73.842500</td>\n",
              "      <td>72.820000</td>\n",
              "      <td>71.902500</td>\n",
              "      <td>68.277500</td>\n",
              "      <td>3.32375</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>119.96304</td>\n",
              "      <td>25.534669</td>\n",
              "      <td>32.457366</td>\n",
              "      <td>31.183501</td>\n",
              "      <td>32.722294</td>\n",
              "      <td>27.828916</td>\n",
              "      <td>29.060474</td>\n",
              "      <td>1.66129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>180.00000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>330.00000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>49.750000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>2.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>450.00000</td>\n",
              "      <td>65.000000</td>\n",
              "      <td>75.000000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>65.000000</td>\n",
              "      <td>70.000000</td>\n",
              "      <td>65.000000</td>\n",
              "      <td>3.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>515.00000</td>\n",
              "      <td>80.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>95.000000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>90.000000</td>\n",
              "      <td>5.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>780.00000</td>\n",
              "      <td>255.000000</td>\n",
              "      <td>190.000000</td>\n",
              "      <td>230.000000</td>\n",
              "      <td>194.000000</td>\n",
              "      <td>230.000000</td>\n",
              "      <td>180.000000</td>\n",
              "      <td>6.00000</td>\n",
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              "          document.querySelector('#df-c63493f7-6664-499f-84a9-e3be06f037de button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-c63493f7-6664-499f-84a9-e3be06f037de');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "           total          hp      attack  ...      sp_def       speed  generation\n",
              "count  800.00000  800.000000  800.000000  ...  800.000000  800.000000   800.00000\n",
              "mean   435.10250   69.258750   79.001250  ...   71.902500   68.277500     3.32375\n",
              "std    119.96304   25.534669   32.457366  ...   27.828916   29.060474     1.66129\n",
              "min    180.00000    1.000000    5.000000  ...   20.000000    5.000000     1.00000\n",
              "25%    330.00000   50.000000   55.000000  ...   50.000000   45.000000     2.00000\n",
              "50%    450.00000   65.000000   75.000000  ...   70.000000   65.000000     3.00000\n",
              "75%    515.00000   80.000000  100.000000  ...   90.000000   90.000000     5.00000\n",
              "max    780.00000  255.000000  190.000000  ...  230.000000  180.000000     6.00000\n",
              "\n",
              "[8 rows x 8 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pk_df.corr()"
      ],
      "metadata": {
        "colab": {
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          "height": 331
        },
        "id": "yuYMMTvvjxml",
        "outputId": "c4911d38-01dc-4ded-e301-98243ca877f7"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>sp_atk</th>\n",
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              "      <td>1.000000</td>\n",
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              "      <td>0.736211</td>\n",
              "      <td>0.612787</td>\n",
              "      <td>0.747250</td>\n",
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              "      <th>hp</th>\n",
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              "      <td>0.273620</td>\n",
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              "      <td>0.051451</td>\n",
              "      <td>0.345408</td>\n",
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              "    <tr>\n",
              "      <th>defense</th>\n",
              "      <td>0.612787</td>\n",
              "      <td>0.239622</td>\n",
              "      <td>0.438687</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.223549</td>\n",
              "      <td>0.510747</td>\n",
              "      <td>0.015227</td>\n",
              "      <td>0.042419</td>\n",
              "      <td>0.246377</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>sp_atk</th>\n",
              "      <td>0.747250</td>\n",
              "      <td>0.362380</td>\n",
              "      <td>0.396362</td>\n",
              "      <td>0.223549</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.506121</td>\n",
              "      <td>0.473018</td>\n",
              "      <td>0.036437</td>\n",
              "      <td>0.448907</td>\n",
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              "    <tr>\n",
              "      <th>sp_def</th>\n",
              "      <td>0.717609</td>\n",
              "      <td>0.378718</td>\n",
              "      <td>0.263990</td>\n",
              "      <td>0.510747</td>\n",
              "      <td>0.506121</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.259133</td>\n",
              "      <td>0.028486</td>\n",
              "      <td>0.363937</td>\n",
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              "    <tr>\n",
              "      <th>speed</th>\n",
              "      <td>0.575943</td>\n",
              "      <td>0.175952</td>\n",
              "      <td>0.381240</td>\n",
              "      <td>0.015227</td>\n",
              "      <td>0.473018</td>\n",
              "      <td>0.259133</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>-0.023121</td>\n",
              "      <td>0.326715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>generation</th>\n",
              "      <td>0.048384</td>\n",
              "      <td>0.058683</td>\n",
              "      <td>0.051451</td>\n",
              "      <td>0.042419</td>\n",
              "      <td>0.036437</td>\n",
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              "      <td>1.000000</td>\n",
              "      <td>0.079794</td>\n",
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              "    <tr>\n",
              "      <th>legendary</th>\n",
              "      <td>0.501758</td>\n",
              "      <td>0.273620</td>\n",
              "      <td>0.345408</td>\n",
              "      <td>0.246377</td>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f4134ce6-d6ac-403f-b572-ed545d915813');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "               total        hp    attack  ...     speed  generation  legendary\n",
              "total       1.000000  0.618748  0.736211  ...  0.575943    0.048384   0.501758\n",
              "hp          0.618748  1.000000  0.422386  ...  0.175952    0.058683   0.273620\n",
              "attack      0.736211  0.422386  1.000000  ...  0.381240    0.051451   0.345408\n",
              "defense     0.612787  0.239622  0.438687  ...  0.015227    0.042419   0.246377\n",
              "sp_atk      0.747250  0.362380  0.396362  ...  0.473018    0.036437   0.448907\n",
              "sp_def      0.717609  0.378718  0.263990  ...  0.259133    0.028486   0.363937\n",
              "speed       0.575943  0.175952  0.381240  ...  1.000000   -0.023121   0.326715\n",
              "generation  0.048384  0.058683  0.051451  ... -0.023121    1.000000   0.079794\n",
              "legendary   0.501758  0.273620  0.345408  ...  0.326715    0.079794   1.000000\n",
              "\n",
              "[9 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.heatmap(pk_df.corr(),annot=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 331
        },
        "id": "0LMzWjtzj3wS",
        "outputId": "648aee40-8485-4c7f-e8a4-9988408e3d33"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff0ec478c90>"
            ]
          },
          "metadata": {},
          "execution_count": 49
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 432x288 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.figure(figsize=(20,8))\n",
        "sns.countplot(pk_df.type1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "KyD6d5QDkMjl",
        "outputId": "71438ab1-53b5-4910-c879-28bf8ea432df"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7ff0ec22f690>"
            ]
          },
          "metadata": {},
          "execution_count": 51
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}