18_ntb_series.ipynb

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        "<a href=\"https://colab.research.google.com/github/luasampaio/data-engineering/blob/main/18_ntb_series.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",
      "source": [
        "**DataFrame é um Conjunto de Séries**\n",
        "\n",
        "Um **DataFrame** no pandas é uma coleção de **Séries**. Cada coluna de um DataFrame é uma Série, e as linhas compartilham o mesmo índice. Vamos criar um DataFrame a partir de Séries:"
      ],
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    {
      "cell_type": "markdown",
      "source": [
        "- Data: Jul 2, 2024\n",
        "- Por: Luciana Sampaio"
      ],
      "metadata": {
        "id": "Ryf3QL1U7d7O"
      }
    },
    {
      "source": [
        "import pandas as pd # Import the pandas library and assign it the alias 'pd'\n",
        "\n",
        "serie_nomes = pd.Series([\"Ana\", \"Bruno\", \"Angelica\", \"Luciana\"])\n",
        "serie_sobrenomes = pd.Series([\"Silva\", \"Oliveira\", \"Santos\", \"Costa\"])\n",
        "serie_idades = pd.Series([23, 29, 31, 25])"
      ],
      "cell_type": "code",
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      "execution_count": 2,
      "outputs": []
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      "source": [
        "df_pessoas = pd.DataFrame({\n",
        "    \"nome\": serie_nomes,\n",
        "    \"sobrenome\": serie_sobrenomes,\n",
        "    \"idade\": serie_idades\n",
        "})"
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      "execution_count": 3,
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      "cell_type": "code",
      "source": [
        "df_pessoas.head(2)"
      ],
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      "execution_count": 6,
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        {
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            "text/plain": [
              "    nome sobrenome  idade\n",
              "0    Ana     Silva     23\n",
              "1  Bruno  Oliveira     29"
            ],
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              "type": "dataframe",
              "variable_name": "df_pessoas",
              "summary": "{\n  \"name\": \"df_pessoas\",\n  \"rows\": 4,\n  \"fields\": [\n    {\n      \"column\": \"nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Bruno\",\n          \"Luciana\",\n          \"Ana\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"sobrenome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"Oliveira\",\n          \"Costa\",\n          \"Silva\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"idade\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 23,\n        \"max\": 31,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          29,\n          25,\n          23\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(df_pessoas)"
      ],
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        "colab": {
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        },
        "id": "w2NaV6jC6289",
        "outputId": "8e408798-8e44-4e00-8893-20a1ebd082c9"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       nome sobrenome  idade\n",
            "0       Ana     Silva     23\n",
            "1     Bruno  Oliveira     29\n",
            "2  Angelica    Santos     31\n",
            "3   Luciana     Costa     25\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Acessando somente a Coluna Nome"
      ],
      "metadata": {
        "id": "kt_rtQzo6_QD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "serie_nomes_do_df = df_pessoas[\"nome\"]\n",
        "print(serie_nomes_do_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9ZsdYJkC64-g",
        "outputId": "70482784-e2fd-47cd-cee3-4ecc3d087cc8"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0         Ana\n",
            "1       Bruno\n",
            "2    Angelica\n",
            "3     Luciana\n",
            "Name: nome, dtype: object\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "9ZDep1yC7FQY"
      },
      "execution_count": null,
      "outputs": []
    }
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