hw_pandas_in_act_6_1.ipynb

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        "Наш набор данных покупателей включает столбец Address Адреса состоят из улицы, города, штата и почтового индекса Ваша задача: разбить эти четыре значения по четырем новым столбцам Street, City, State и Zip, после чего уда- лить исходный столбец Address Попробуйте решить эту задачу самостоятельно, а затем можете заглянуть в решение"
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              "                  Name                                            Address\n",
              "0        Frank Manning  6461 Quinn Groves, East Matthew, New Hampshire...\n",
              "1    Elizabeth Johnson  1360 Tracey Ports Apt. 419, Kyleport, Vermont,...\n",
              "2      Donald Stephens  19120 Fleming Manors, Prestonstad, Montana, 23495\n",
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      ],
      "source": [
        "import pandas as pd\n",
        "customers = pd.read_csv(\"customers.csv\")\n",
        "customers.head()"
      ]
    },
    {
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      "source": [
        "# expand - возвращаем DataFrame\n",
        "addr = customers['Address'].str.split(',', expand = True)\n",
        "addr.head()"
      ],
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              "                            0              1               2       3\n",
              "0           6461 Quinn Groves   East Matthew   New Hampshire   16656\n",
              "1  1360 Tracey Ports Apt. 419       Kyleport         Vermont   31924\n",
              "2        19120 Fleming Manors    Prestonstad         Montana   23495\n",
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              "            + ' to learn more about interactive tables.';\n",
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              "          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"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "customers[['Street', 'City', 'State', 'Zip']] = addr\n",
        "customers.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 250
        },
        "id": "xvK3vS521Nzs",
        "outputId": "c00a89af-d64b-41cb-d63b-917c1132f28f"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  Name                                            Address  \\\n",
              "0        Frank Manning  6461 Quinn Groves, East Matthew, New Hampshire...   \n",
              "1    Elizabeth Johnson  1360 Tracey Ports Apt. 419, Kyleport, Vermont,...   \n",
              "2      Donald Stephens  19120 Fleming Manors, Prestonstad, Montana, 23495   \n",
              "3  Michael Vincent III       441 Olivia Creek, Jimmymouth, Georgia, 82991   \n",
              "4       Jasmine Zamora  4246 Chelsey Ford Apt. 310, Karamouth, Utah, 7...   \n",
              "\n",
              "                       Street           City           State     Zip  \n",
              "0           6461 Quinn Groves   East Matthew   New Hampshire   16656  \n",
              "1  1360 Tracey Ports Apt. 419       Kyleport         Vermont   31924  \n",
              "2        19120 Fleming Manors    Prestonstad         Montana   23495  \n",
              "3            441 Olivia Creek     Jimmymouth         Georgia   82991  \n",
              "4  4246 Chelsey Ford Apt. 310      Karamouth            Utah   76252  "
            ],
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              "      <td>6461 Quinn Groves</td>\n",
              "      <td>East Matthew</td>\n",
              "      <td>New Hampshire</td>\n",
              "      <td>16656</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Elizabeth Johnson</td>\n",
              "      <td>1360 Tracey Ports Apt. 419, Kyleport, Vermont,...</td>\n",
              "      <td>1360 Tracey Ports Apt. 419</td>\n",
              "      <td>Kyleport</td>\n",
              "      <td>Vermont</td>\n",
              "      <td>31924</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Donald Stephens</td>\n",
              "      <td>19120 Fleming Manors, Prestonstad, Montana, 23495</td>\n",
              "      <td>19120 Fleming Manors</td>\n",
              "      <td>Prestonstad</td>\n",
              "      <td>Montana</td>\n",
              "      <td>23495</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Michael Vincent III</td>\n",
              "      <td>441 Olivia Creek, Jimmymouth, Georgia, 82991</td>\n",
              "      <td>441 Olivia Creek</td>\n",
              "      <td>Jimmymouth</td>\n",
              "      <td>Georgia</td>\n",
              "      <td>82991</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Jasmine Zamora</td>\n",
              "      <td>4246 Chelsey Ford Apt. 310, Karamouth, Utah, 7...</td>\n",
              "      <td>4246 Chelsey Ford Apt. 310</td>\n",
              "      <td>Karamouth</td>\n",
              "      <td>Utah</td>\n",
              "      <td>76252</td>\n",
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              "  </tbody>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "              title=\"Suggest charts.\"\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
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              "\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
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              "    domScope.querySelector('#df-6c0fa4d3-b37d-49eb-baa3-92303ba2e550 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
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              "      border: none;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
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              "      fill: #174EA6;\n",
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              "\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-dc27b173-b754-4070-b69c-f790b15c38d1 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-dc27b173-b754-4070-b69c-f790b15c38d1');\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",
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              "          element.appendChild(docLink);\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "customers = customers.drop('Address', axis=1)\n",
        "customers.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "yPw2aN9x2AND",
        "outputId": "435d4823-66cd-4c39-9747-7761d9f00c03"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  Name                      Street           City  \\\n",
              "0        Frank Manning           6461 Quinn Groves   East Matthew   \n",
              "1    Elizabeth Johnson  1360 Tracey Ports Apt. 419       Kyleport   \n",
              "2      Donald Stephens        19120 Fleming Manors    Prestonstad   \n",
              "3  Michael Vincent III            441 Olivia Creek     Jimmymouth   \n",
              "4       Jasmine Zamora  4246 Chelsey Ford Apt. 310      Karamouth   \n",
              "\n",
              "            State     Zip  \n",
              "0   New Hampshire   16656  \n",
              "1         Vermont   31924  \n",
              "2         Montana   23495  \n",
              "3         Georgia   82991  \n",
              "4            Utah   76252  "
            ],
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              "      <td>Kyleport</td>\n",
              "      <td>Vermont</td>\n",
              "      <td>31924</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Donald Stephens</td>\n",
              "      <td>19120 Fleming Manors</td>\n",
              "      <td>Prestonstad</td>\n",
              "      <td>Montana</td>\n",
              "      <td>23495</td>\n",
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              "      <td>441 Olivia Creek</td>\n",
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              "      <td>Jasmine Zamora</td>\n",
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              "\n",
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              "\n",
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              "          document.querySelector('#df-90dbf88e-7c19-45bd-9e23-1b628842b408 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-90dbf88e-7c19-45bd-9e23-1b628842b408');\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"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "customers[['First Name', 'Last Name']] = customers['Name'].str.split(pat = \" \", expand = True, n =1)\n",
        "customers.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "yUm7eo4b2cH5",
        "outputId": "a35dda17-120c-4c4e-efe4-3cc8276ea9c9"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                  Name                      Street           City  \\\n",
              "0        Frank Manning           6461 Quinn Groves   East Matthew   \n",
              "1    Elizabeth Johnson  1360 Tracey Ports Apt. 419       Kyleport   \n",
              "2      Donald Stephens        19120 Fleming Manors    Prestonstad   \n",
              "3  Michael Vincent III            441 Olivia Creek     Jimmymouth   \n",
              "4       Jasmine Zamora  4246 Chelsey Ford Apt. 310      Karamouth   \n",
              "\n",
              "            State     Zip First Name    Last Name  \n",
              "0   New Hampshire   16656      Frank      Manning  \n",
              "1         Vermont   31924  Elizabeth      Johnson  \n",
              "2         Montana   23495     Donald     Stephens  \n",
              "3         Georgia   82991    Michael  Vincent III  \n",
              "4            Utah   76252    Jasmine       Zamora  "
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              "      background-color: #434B5C;\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
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              "\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",
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            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "customers = customers.drop('Name', axis=1)\n",
        "customers.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "DEzWT6uF28II",
        "outputId": "35be34de-c53e-41f6-eab5-378fa2824b31"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       Street           City           State     Zip  \\\n",
              "0           6461 Quinn Groves   East Matthew   New Hampshire   16656   \n",
              "1  1360 Tracey Ports Apt. 419       Kyleport         Vermont   31924   \n",
              "2        19120 Fleming Manors    Prestonstad         Montana   23495   \n",
              "3            441 Olivia Creek     Jimmymouth         Georgia   82991   \n",
              "4  4246 Chelsey Ford Apt. 310      Karamouth            Utah   76252   \n",
              "\n",
              "  First Name    Last Name  \n",
              "0      Frank      Manning  \n",
              "1  Elizabeth      Johnson  \n",
              "2     Donald     Stephens  \n",
              "3    Michael  Vincent III  \n",
              "4    Jasmine       Zamora  "
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              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      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-e87950d8-7862-4f4b-8883-e16bc7bbe158 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-e87950d8-7862-4f4b-8883-e16bc7bbe158');\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"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    }
  ]
}