challenge_2_python_pandas.ipynb

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        "<a href=\"https://colab.research.google.com/github/abiflynn/python_pandas/blob/main/challenge_2_python_pandas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "metadata": {
        "id": "0Z-cI34rQ7Bm"
      },
      "source": [
        "#Challenge 2: Python Pandas\n"
      ]
    },
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      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "qt4pbZNkQ7Bp"
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      "source": [
        "# import libraries\n",
        "import pandas as pd\n",
        "\n",
        "# load data\n",
        "# This code is made to load our data stored on Google Drive\n",
        "def gd_path(file_id):\n",
        "    \"\"\"Generate a shareable link from Google Drive file id.\"\"\"\n",
        "    return f\"https://drive.google.com/uc?export=download&id={file_id}\"\n",
        "\n",
        "# Google Drive file ids\n",
        "files_id = {\n",
        "    \"titleauthor\": \"1F1JOiYXStWacOBca6coNVfyVtoST7ZgD\",\n",
        "    \"titles\": \"1PLdn50N9GRa53ZbuVWo0l47F_IXdvlEm\",\n",
        "    \"stores\": \"1f-GCgip7O93CpbAkYvOsc21eKnSOSHsQ\", \n",
        "    \"sales\": \"1fzFc9rwYmVIPaGOFmhLVxCi3kg19vNU2\", \n",
        "    \"roysched\": \"1zPRZPoFPEMKyrNR5VSENeYFHGCBZmxbs\", \n",
        "    \"publishers\": \"1s9E8_AVOziTrowb3wyh2jg3PV763VOyq\",\n",
        "    \"pub_info\": \"1OEgogcGKy--EpuVj0kqq7lyBZNGW6YSv\", \n",
        "    \"jobs\": \"1V1Za8hUdXD-vJOyRdX4aQV5wanIff2eM\", \n",
        "    \"employee\": \"1h9mUjsVqpP74b1w0x7KOw37n_n9Ulkt5\", \n",
        "    \"discounts\": \"111dvSxMcCsTgOuV1wDSKFJxO1Xcxd9VS\", \n",
        "    \"authors\": \"1fEF89Nhe61EebAljKlwFwfEuokK0o6aJ\"\n",
        "}\n",
        "\n",
        "# Read data from Google Drive\n",
        "sales = pd.read_csv(gd_path(files_id[\"sales\"]), sep=\";\")\n",
        "authors = pd.read_csv(gd_path(files_id[\"authors\"]), sep=\";\")\n",
        "publishers = pd.read_csv(gd_path(files_id[\"publishers\"]), sep=\";\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "## 1. Select first and last name from authors who have the last name \"Ringer\""
      ]
    },
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          "data": {
            "text/plain": [
              "   au_fname au_lname\n",
              "21     Anne   Ringer\n",
              "22   Albert   Ringer"
            ],
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        "(\n",
        "authors\n",
        "    .loc[authors['au_lname']=='Ringer']\n",
        "    [['au_fname', 'au_lname']]\n",
        ")"
      ]
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      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "## 2. Select the order number and order date of all sales where *exactly* 20 books where sold."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
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            "text/plain": [
              "    ord_num             ord_date\n",
              "6     P2121  1992-06-15 00:00:00\n",
              "7     P2121  1992-06-15 00:00:00\n",
              "8   N914008  1994-09-14 00:00:00\n",
              "10   P3087a  1993-05-29 00:00:00"
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        "(\n",
        "sales\n",
        "    [['ord_num', 'ord_date']]\n",
        "    .loc[sales['qty']==20]\n",
        ")"
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    {
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      "source": [
        "## 3. Select first and last name from authors whose last name is \"Ringer\" and first name is \"Anne\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
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            "text/plain": [
              "   au_fname au_lname\n",
              "21     Anne   Ringer"
            ],
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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",
              "          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": 11
        }
      ],
      "source": [
        "(\n",
        "authors\n",
        "    .loc[(authors['au_lname']=='Ringer')\n",
        "        &(authors['au_fname']=='Anne')]\n",
        "    [['au_fname', 'au_lname']]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oEHZrrVJQ7Bt"
      },
      "source": [
        "### 4. Select the name and city of publishers based in either Germany or France"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "0PNieNm_Q7Bt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "6e342b61-2f80-4d71-f0e8-dafc685cfd2c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             pub_name     city\n",
              "5               GGG&G  Mnchen\n",
              "7  Lucerne Publishing    Paris"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-48d82bfd-bbe2-4af5-a95a-757b507a835c\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>pub_name</th>\n",
              "      <th>city</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>GGG&amp;G</td>\n",
              "      <td>Mnchen</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Lucerne Publishing</td>\n",
              "      <td>Paris</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-48d82bfd-bbe2-4af5-a95a-757b507a835c')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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",
              "      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-48d82bfd-bbe2-4af5-a95a-757b507a835c 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-48d82bfd-bbe2-4af5-a95a-757b507a835c');\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
        }
      ],
      "source": [
        "(\n",
        "publishers\n",
        "    [['pub_name', 'city']]\n",
        "    .loc[(publishers['country']=='Germany')\n",
        "        |(publishers['country']== 'France')]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wRyPMB0oQ7Bt"
      },
      "source": [
        "## 5. Select first name, last name and city from authors whose first name is \"Dean\" and whose city is either \"Oakland\" or \"Berkeley\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "dBhN50HeQ7Bt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "outputId": "05f1d486-418f-4aef-bb82-1fb5d22e1113"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  au_fname  au_lname     city\n",
              "4     Dean  Straight  Oakland"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-cbb2f4f1-a4ec-414b-9829-821f21b3309a\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>au_fname</th>\n",
              "      <th>au_lname</th>\n",
              "      <th>city</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Dean</td>\n",
              "      <td>Straight</td>\n",
              "      <td>Oakland</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cbb2f4f1-a4ec-414b-9829-821f21b3309a')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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",
              "      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-cbb2f4f1-a4ec-414b-9829-821f21b3309a 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-cbb2f4f1-a4ec-414b-9829-821f21b3309a');\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": 13
        }
      ],
      "source": [
        "(\n",
        "authors\n",
        "    [['au_fname', 'au_lname', 'city']]\n",
        "    .loc[(authors['au_fname']=='Dean')\n",
        "    &((authors['city']=='Oakland')\n",
        "    |(authors['city']=='Berkeley'))\n",
        "    ]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JgWmrjsYQ7Bt"
      },
      "source": [
        "## 6. Select the name, city and country of publishers, not based in the USA"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "326X9mYlQ7Bt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "outputId": "47e4d024-675f-4d76-aff2-6c01e70f6fd0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             pub_name     city  country\n",
              "5               GGG&G  Mnchen  Germany\n",
              "7  Lucerne Publishing    Paris   France"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-dd02a1e1-1e84-4125-918d-10b79d5acc7f\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>pub_name</th>\n",
              "      <th>city</th>\n",
              "      <th>country</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>GGG&amp;G</td>\n",
              "      <td>Mnchen</td>\n",
              "      <td>Germany</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Lucerne Publishing</td>\n",
              "      <td>Paris</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-dd02a1e1-1e84-4125-918d-10b79d5acc7f')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </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",
              "      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-dd02a1e1-1e84-4125-918d-10b79d5acc7f 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-dd02a1e1-1e84-4125-918d-10b79d5acc7f');\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": 14
        }
      ],
      "source": [
        "(\n",
        "publishers\n",
        "    [['pub_name', 'city', 'country']]\n",
        "    .loc[~(publishers['country']=='USA')]\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4DD7Uj2WQ7Bu"
      },
      "source": [
        "## 7. Select first name, last name and city from authors whose city is \"Oakland\" or \"Berkeley\", and last name is **not** \"Straight\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "hC2UQxU6Q7Bu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 237
        },
        "outputId": "4d946fd6-f569-46bb-dcd3-0bda449d3d2c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    au_fname    au_lname      city\n",
              "1   Marjorie       Green   Oakland\n",
              "2     Cheryl      Carson  Berkeley\n",
              "6    Abraham      Bennet  Berkeley\n",
              "15      Dirk    Stringer   Oakland\n",
              "16   Stearns  MacFeather   Oakland\n",
              "17     Livia      Karsen   Oakland"
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              "      <th>16</th>\n",
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              "      <td>Oakland</td>\n",
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              "      <th>17</th>\n",
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          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "(\n",
        "authors\n",
        "    [['au_fname', 'au_lname', 'city']]\n",
        "    .loc[((authors['city']=='Oakland')\n",
        "        |(authors['city']=='Berkeley'))\n",
        "        & ~(authors['au_lname']=='Straight')]\n",
        ")"
      ]
    }
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