Multi_Index_DF_연산.ipynb

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      "source": [
        "# Pandas Multi Indexing and GroupBy\n",
        "Pandas의 Multi Indexing과 GroupBy 에 대해 기록하였습니다."
      ],
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      "source": [
        "import pandas as pd"
      ]
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    {
      "cell_type": "code",
      "source": [
        "# Pandas Encoding\n",
        "# pandas 메서드 파라미터중 encoding 파라미터가 있음.\n",
        "# 이는 텍스트 데이터를 가지고 올 때 , UTF-8 과 같은 특정 값으로 인코딩해서 Import 할 수 있게끔 한다.\n",
        "# ecommerce_sales 데이터는 kaggle 에서 오픈된 데이터를 사용\n",
        "sales_df = pd.read_csv('ecommerce_sales.csv', encoding = 'unicode_escape')\n",
        "sales_df"
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              "       InvoiceNo StockCode                          Description  Quantity  \\\n",
              "0         536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
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              "3         536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "4         536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...          ...       ...                                  ...       ...   \n",
              "541904    581587     22613          PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "541905    581587     22899         CHILDREN'S APRON DOLLY GIRL          6   \n",
              "541906    581587     23254        CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "541907    581587     23255      CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "541908    581587     22138        BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "            InvoiceDate  UnitPrice  CustomerID         Country  \n",
              "0        12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
              "1        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "2        12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
              "3        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "4        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "...                 ...        ...         ...             ...  \n",
              "541904  12/9/2011 12:50       0.85     12680.0          France  \n",
              "541905  12/9/2011 12:50       2.10     12680.0          France  \n",
              "541906  12/9/2011 12:50       4.15     12680.0          France  \n",
              "541907  12/9/2011 12:50       4.15     12680.0          France  \n",
              "541908  12/9/2011 12:50       4.95     12680.0          France  \n",
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              "        document.querySelector('#id_f72333de-6c3f-40d4-aa07-1b133397cda2 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 방대한 양의 데이터 정보 확인\n",
        "sales_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4px4QV0okk5y",
        "outputId": "24dc4ca7-2cf9-4d5e-cb2d-80b1faa41fa9"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 541909 entries, 0 to 541908\n",
            "Data columns (total 8 columns):\n",
            " #   Column       Non-Null Count   Dtype  \n",
            "---  ------       --------------   -----  \n",
            " 0   InvoiceNo    541909 non-null  object \n",
            " 1   StockCode    541909 non-null  object \n",
            " 2   Description  540455 non-null  object \n",
            " 3   Quantity     541909 non-null  int64  \n",
            " 4   InvoiceDate  541909 non-null  object \n",
            " 5   UnitPrice    541909 non-null  float64\n",
            " 6   CustomerID   406829 non-null  float64\n",
            " 7   Country      541909 non-null  object \n",
            "dtypes: float64(2), int64(1), object(5)\n",
            "memory usage: 33.1+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# datetime으로 컬럼의 데이터 유형을 object에서 datetime으로 변환할 수 있음.\n",
        "# pd.to_datetime(sales_df['InvoiceDate']) 로 변환한 이후 ,\n",
        "# 변환값을 sales_df['InvoiceDate'] 컬럼에 덮어씌움\n",
        "sales_df['InvoiceDate'] = pd.to_datetime(sales_df['InvoiceDate'])"
      ],
      "metadata": {
        "id": "BbjBfZE3kxeU"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# InvoiceDate 컬럼의 데이터 타입이 datetime64 으로 변환된것을 확인할 수 있음.\n",
        "sales_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oVLO9EeflUSL",
        "outputId": "1409e1db-ab21-4ac8-8260-5ba9dea5497f"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 541909 entries, 0 to 541908\n",
            "Data columns (total 8 columns):\n",
            " #   Column       Non-Null Count   Dtype         \n",
            "---  ------       --------------   -----         \n",
            " 0   InvoiceNo    541909 non-null  object        \n",
            " 1   StockCode    541909 non-null  object        \n",
            " 2   Description  540455 non-null  object        \n",
            " 3   Quantity     541909 non-null  int64         \n",
            " 4   InvoiceDate  541909 non-null  datetime64[ns]\n",
            " 5   UnitPrice    541909 non-null  float64       \n",
            " 6   CustomerID   406829 non-null  float64       \n",
            " 7   Country      541909 non-null  object        \n",
            "dtypes: datetime64[ns](1), float64(2), int64(1), object(4)\n",
            "memory usage: 33.1+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# sales_df 데이터프레임에 null 값이 얼마나 들어가있는지 확인\n",
        "# 1행 : 컬럼명 , 2행 : null 개수\n",
        "sales_df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MT4mOjkAlZX1",
        "outputId": "f32017ba-51cb-4503-dc97-d0081d682bab"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceNo           0\n",
              "StockCode           0\n",
              "Description      1454\n",
              "Quantity            0\n",
              "InvoiceDate         0\n",
              "UnitPrice           0\n",
              "CustomerID     135080\n",
              "Country             0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Country 컬럼에서 중복되지 않은 값들을 모두 나열\n",
        "sales_df['Country'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Hb5It4iqlhUs",
        "outputId": "e4cece4e-94fa-4915-cbe2-979b0e40c9f7"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['United Kingdom', 'France', 'Australia', 'Netherlands', 'Germany',\n",
              "       'Norway', 'EIRE', 'Switzerland', 'Spain', 'Poland', 'Portugal',\n",
              "       'Italy', 'Belgium', 'Lithuania', 'Japan', 'Iceland',\n",
              "       'Channel Islands', 'Denmark', 'Cyprus', 'Sweden', 'Austria',\n",
              "       'Israel', 'Finland', 'Bahrain', 'Greece', 'Hong Kong', 'Singapore',\n",
              "       'Lebanon', 'United Arab Emirates', 'Saudi Arabia',\n",
              "       'Czech Republic', 'Canada', 'Unspecified', 'Brazil', 'USA',\n",
              "       'European Community', 'Malta', 'RSA'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 각 컬럼별로 중복되지 않은 값들의 갯수를 모두 더해서 출력\n",
        "sales_df.nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Dwi3-FHTl7Yp",
        "outputId": "c534aa0e-5754-4e6f-f32f-3346af207635"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceNo      25900\n",
              "StockCode       4070\n",
              "Description     4223\n",
              "Quantity         722\n",
              "InvoiceDate    23260\n",
              "UnitPrice       1630\n",
              "CustomerID      4372\n",
              "Country           38\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# GroupBy\n",
        "Pandas GroupBy를 통해 그룹핑 하는 방법\n",
        "\n",
        "그룹화 하는 방법들은 다양함.\n",
        "\n",
        "1. 연산에 의해 그룹화 하는방법\n",
        "2. 객체마다 그룹화하여 분할하는 방법\n",
        "3. 특정 기능을 적용하고 결합을 포함한 연산에 따라서 그룹화하는 방법"
      ],
      "metadata": {
        "id": "y_l065P2nUcY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 테스트용 샘플 데이터 확인\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "cWvbAb8ynFiG",
        "outputId": "e49bb41b-0a5a-4ba5-ab3a-59f34604a212"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       InvoiceNo StockCode                          Description  Quantity  \\\n",
              "0         536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "1         536365     71053                  WHITE METAL LANTERN         6   \n",
              "2         536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
              "3         536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "4         536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...          ...       ...                                  ...       ...   \n",
              "541904    581587     22613          PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "541905    581587     22899         CHILDREN'S APRON DOLLY GIRL          6   \n",
              "541906    581587     23254        CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "541907    581587     23255      CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "541908    581587     22138        BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "            InvoiceDate  UnitPrice  CustomerID         Country  \n",
              "0        12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
              "1        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "2        12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
              "3        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "4        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "...                 ...        ...         ...             ...  \n",
              "541904  12/9/2011 12:50       0.85     12680.0          France  \n",
              "541905  12/9/2011 12:50       2.10     12680.0          France  \n",
              "541906  12/9/2011 12:50       4.15     12680.0          France  \n",
              "541907  12/9/2011 12:50       4.15     12680.0          France  \n",
              "541908  12/9/2011 12:50       4.95     12680.0          France  \n",
              "\n",
              "[541909 rows x 8 columns]"
            ],
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              "      <th></th>\n",
              "      <th>InvoiceNo</th>\n",
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              "      <td>536365</td>\n",
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              "      <td>6</td>\n",
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              "      <td>United Kingdom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>536365</td>\n",
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              "      <td>WHITE METAL LANTERN</td>\n",
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              "      <td>536365</td>\n",
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              "      <td>8</td>\n",
              "      <td>12/1/2010 8:26</td>\n",
              "      <td>2.75</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
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              "      <th>3</th>\n",
              "      <td>536365</td>\n",
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              "      <td>17850.0</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>12/1/2010 8:26</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <th>541904</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541905</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541906</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
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              "      <td>12680.0</td>\n",
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              "    <tr>\n",
              "      <th>541907</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
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              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541908</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
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              "  </tbody>\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-37738c3f-e15b-456e-8f8f-5132a74f92e9 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_4074316d-8667-444c-986d-c69d17bae550\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sales_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_4074316d-8667-444c-986d-c69d17bae550 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 같은 Country를 가진 열들을 그룹화 하고 , 각 그룹들의 UnitPrice 의 평균을 구해서 추출하기.\n",
        "# DataFrame에서 GroupBy는 , 간단하게 .groupby() 메서드를 통해 수행할 수 있음.\n",
        "sales_df.groupby('Country')['UnitPrice'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-pJvOMV4nY5i",
        "outputId": "84a2ddf2-3525-469c-b47c-2220cce2c4e1"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country\n",
              "Australia                 3.220612\n",
              "Austria                   4.243192\n",
              "Bahrain                   4.556316\n",
              "Belgium                   3.644335\n",
              "Brazil                    4.456250\n",
              "Canada                    6.030331\n",
              "Channel Islands           4.932124\n",
              "Cyprus                    6.302363\n",
              "Czech Republic            2.938333\n",
              "Denmark                   3.256941\n",
              "EIRE                      5.911077\n",
              "European Community        4.820492\n",
              "Finland                   5.448705\n",
              "France                    5.028864\n",
              "Germany                   3.966930\n",
              "Greece                    4.885548\n",
              "Hong Kong                42.505208\n",
              "Iceland                   2.644011\n",
              "Israel                    3.633131\n",
              "Italy                     4.831121\n",
              "Japan                     2.276145\n",
              "Lebanon                   5.387556\n",
              "Lithuania                 2.841143\n",
              "Malta                     5.244173\n",
              "Netherlands               2.738317\n",
              "Norway                    6.012026\n",
              "Poland                    4.170880\n",
              "Portugal                  8.582976\n",
              "RSA                       4.277586\n",
              "Saudi Arabia              2.411000\n",
              "Singapore               109.645808\n",
              "Spain                     4.987544\n",
              "Sweden                    3.910887\n",
              "Switzerland               3.403442\n",
              "USA                       2.216426\n",
              "United Arab Emirates      3.380735\n",
              "United Kingdom            4.532422\n",
              "Unspecified               2.699574\n",
              "Name: UnitPrice, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 각 국가별 최소 UnitPrice 가격 추출\n",
        "sales_df.groupby('Country')['UnitPrice'].min()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1VQL54fCn4_e",
        "outputId": "b90e36b2-94cf-4cc2-b480-9274aac84ea4"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country\n",
              "Australia                   0.00\n",
              "Austria                     0.12\n",
              "Bahrain                     1.25\n",
              "Belgium                     0.12\n",
              "Brazil                      0.85\n",
              "Canada                      0.10\n",
              "Channel Islands             0.19\n",
              "Cyprus                      0.12\n",
              "Czech Republic              0.29\n",
              "Denmark                     0.21\n",
              "EIRE                        0.00\n",
              "European Community          0.55\n",
              "Finland                     0.12\n",
              "France                      0.00\n",
              "Germany                     0.00\n",
              "Greece                      0.14\n",
              "Hong Kong                   0.21\n",
              "Iceland                     0.25\n",
              "Israel                      0.06\n",
              "Italy                       0.12\n",
              "Japan                       0.21\n",
              "Lebanon                     0.55\n",
              "Lithuania                   1.25\n",
              "Malta                       0.19\n",
              "Netherlands                 0.00\n",
              "Norway                      0.00\n",
              "Poland                      0.19\n",
              "Portugal                    0.12\n",
              "RSA                         0.00\n",
              "Saudi Arabia                0.42\n",
              "Singapore                   0.19\n",
              "Spain                       0.00\n",
              "Sweden                      0.19\n",
              "Switzerland                 0.00\n",
              "USA                         0.42\n",
              "United Arab Emirates        0.29\n",
              "United Kingdom         -11062.06\n",
              "Unspecified                 0.19\n",
              "Name: UnitPrice, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 각 국가별로 그룹화 한 이후, UnitPrice 최댓값을 추출\n",
        "sales_df.groupby('Country')['UnitPrice'].max()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fUO6fgfAocty",
        "outputId": "5db86a83-d591-4bb0-e6c0-005e19742f73"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country\n",
              "Australia                 350.00\n",
              "Austria                    40.00\n",
              "Bahrain                    12.75\n",
              "Belgium                    39.95\n",
              "Brazil                     10.95\n",
              "Canada                    550.94\n",
              "Channel Islands           293.00\n",
              "Cyprus                    320.69\n",
              "Czech Republic             40.00\n",
              "Denmark                    18.00\n",
              "EIRE                     1917.00\n",
              "European Community         18.00\n",
              "Finland                   275.60\n",
              "France                   4161.06\n",
              "Germany                   599.50\n",
              "Greece                     50.00\n",
              "Hong Kong                2653.95\n",
              "Iceland                    12.75\n",
              "Israel                    125.00\n",
              "Italy                     300.00\n",
              "Japan                      45.57\n",
              "Lebanon                    14.95\n",
              "Lithuania                   5.95\n",
              "Malta                      65.00\n",
              "Netherlands               206.40\n",
              "Norway                    700.00\n",
              "Poland                     40.00\n",
              "Portugal                 1241.98\n",
              "RSA                        14.95\n",
              "Saudi Arabia                5.49\n",
              "Singapore                3949.32\n",
              "Spain                    1715.85\n",
              "Sweden                     40.00\n",
              "Switzerland                40.00\n",
              "USA                        16.95\n",
              "United Arab Emirates       37.50\n",
              "United Kingdom          38970.00\n",
              "Unspecified                16.95\n",
              "Name: UnitPrice, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 날짜 기준으로 데이터를 그룹화 하기\n",
        "# InvoiceDate 컬럼의 타입은 datetime64\n",
        "sales_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KTOSOZ7domZl",
        "outputId": "bc1852e3-7d24-44f6-8ae7-87b06bd4aa95"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 541909 entries, 0 to 541908\n",
            "Data columns (total 8 columns):\n",
            " #   Column       Non-Null Count   Dtype         \n",
            "---  ------       --------------   -----         \n",
            " 0   InvoiceNo    541909 non-null  object        \n",
            " 1   StockCode    541909 non-null  object        \n",
            " 2   Description  540455 non-null  object        \n",
            " 3   Quantity     541909 non-null  int64         \n",
            " 4   InvoiceDate  541909 non-null  datetime64[ns]\n",
            " 5   UnitPrice    541909 non-null  float64       \n",
            " 6   CustomerID   406829 non-null  float64       \n",
            " 7   Country      541909 non-null  object        \n",
            "dtypes: datetime64[ns](1), float64(2), int64(1), object(4)\n",
            "memory usage: 33.1+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 데이터타입이 특정 값이 아닌 날짜 (datetime) 이더라도 , 그룹화 할 수있음.\n",
        "sales_df.groupby('InvoiceDate')['UnitPrice'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o6swxOIYo3w6",
        "outputId": "42b63d99-f302-48a6-be8f-72b8988a203f"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceDate\n",
              "2010-12-01 08:26:00    3.910000\n",
              "2010-12-01 08:28:00    1.850000\n",
              "2010-12-01 08:34:00    4.833750\n",
              "2010-12-01 08:35:00    5.950000\n",
              "2010-12-01 08:45:00    2.764500\n",
              "                         ...   \n",
              "2011-12-09 12:23:00    1.650000\n",
              "2011-12-09 12:25:00    1.285000\n",
              "2011-12-09 12:31:00    1.799048\n",
              "2011-12-09 12:49:00    5.057500\n",
              "2011-12-09 12:50:00    2.966667\n",
              "Name: UnitPrice, Length: 23260, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 다중 컬럼들을 그룹화 할 수 있음.\n",
        "# Country 를 기준으로 그룹화 한 이후, InvoiceDate . 를기준으로 그 그룹들안에서 한번 . 더그룹화 함.\n",
        "# 이후 각 그룹들에 대해 UnitPrice 평균값을 출력\n",
        "sales_df.groupby(['Country','InvoiceDate'])['UnitPrice'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A8sRHkMHpERU",
        "outputId": "f3cadb5d-1526-4fd8-9ca7-e6ad20262d4e"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country      InvoiceDate        \n",
              "Australia    2010-12-01 10:03:00    5.278571\n",
              "             2010-12-08 09:53:00    2.726250\n",
              "             2010-12-14 11:12:00    4.283333\n",
              "             2010-12-17 14:10:00    3.510000\n",
              "             2011-01-06 11:12:00    1.871304\n",
              "                                      ...   \n",
              "Unspecified  2011-08-22 10:18:00    2.381429\n",
              "             2011-08-22 13:32:00    8.115000\n",
              "             2011-09-02 12:17:00    1.642879\n",
              "             2011-11-16 10:18:00    2.339474\n",
              "             2011-11-24 14:55:00    2.107353\n",
              "Name: UnitPrice, Length: 23616, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result = sales_df.groupby('InvoiceDate')['UnitPrice'].min()\n",
        "result['2010-12-01 08:34:00']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wdctbcq1pTag",
        "outputId": "060b2f0c-ab7a-48a8-8aa7-fb0859256161"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.65"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result = sales_df.groupby('InvoiceDate')['UnitPrice'].max()\n",
        "result['2010-12-01 08:34:00']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ncwjPhmHp_gM",
        "outputId": "e73d43f9-c328-4c04-8206-57cccedceb6c"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "9.95"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "result = sales_df.groupby('InvoiceDate')['UnitPrice'].mean()\n",
        "result['2010-12-01 08:34:00']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1SmiB6uDyBNa",
        "outputId": "981c890c-333a-4a5a-c6a7-c796686d8757"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4.83375"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Pandas Multi Index DataFrame 생성하기\n",
        "Index를 여러개 가지는 DataFrame을 생성할 수 있습니다."
      ],
      "metadata": {
        "id": "iSupo3IcyfkG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Test 용 DataFrame Import\n",
        "sales_df = pd.read_csv('ecommerce_sales.csv', encoding = 'unicode_escape')\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "C9x3nwTSyCyF",
        "outputId": "50ddceae-d52e-46ad-82b9-0fb43de4fc7d"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       InvoiceNo StockCode                          Description  Quantity  \\\n",
              "0         536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "1         536365     71053                  WHITE METAL LANTERN         6   \n",
              "2         536365    84406B       CREAM CUPID HEARTS COAT HANGER         8   \n",
              "3         536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "4         536365    84029E       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...          ...       ...                                  ...       ...   \n",
              "541904    581587     22613          PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "541905    581587     22899         CHILDREN'S APRON DOLLY GIRL          6   \n",
              "541906    581587     23254        CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "541907    581587     23255      CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "541908    581587     22138        BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "            InvoiceDate  UnitPrice  CustomerID         Country  \n",
              "0        12/1/2010 8:26       2.55     17850.0  United Kingdom  \n",
              "1        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "2        12/1/2010 8:26       2.75     17850.0  United Kingdom  \n",
              "3        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "4        12/1/2010 8:26       3.39     17850.0  United Kingdom  \n",
              "...                 ...        ...         ...             ...  \n",
              "541904  12/9/2011 12:50       0.85     12680.0          France  \n",
              "541905  12/9/2011 12:50       2.10     12680.0          France  \n",
              "541906  12/9/2011 12:50       4.15     12680.0          France  \n",
              "541907  12/9/2011 12:50       4.15     12680.0          France  \n",
              "541908  12/9/2011 12:50       4.95     12680.0          France  \n",
              "\n",
              "[541909 rows x 8 columns]"
            ],
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              "      <th>InvoiceNo</th>\n",
              "      <th>StockCode</th>\n",
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              "      <th>0</th>\n",
              "      <td>536365</td>\n",
              "      <td>85123A</td>\n",
              "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
              "      <td>6</td>\n",
              "      <td>12/1/2010 8:26</td>\n",
              "      <td>2.55</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>536365</td>\n",
              "      <td>71053</td>\n",
              "      <td>WHITE METAL LANTERN</td>\n",
              "      <td>6</td>\n",
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              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>536365</td>\n",
              "      <td>84406B</td>\n",
              "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
              "      <td>8</td>\n",
              "      <td>12/1/2010 8:26</td>\n",
              "      <td>2.75</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
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              "      <th>3</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029G</td>\n",
              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6</td>\n",
              "      <td>12/1/2010 8:26</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>12/1/2010 8:26</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</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",
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              "    <tr>\n",
              "      <th>541904</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541905</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541906</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541907</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541908</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>12/9/2011 12:50</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 8 columns</p>\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "\n",
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              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sales_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_d0f8bc68-8e3d-4686-a952-ec4ca4a9046c button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
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              "\n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 특정 칼럼을 선택해서, 데이터프레임에서 하나의 인덱스로 사용하기\n",
        "# InvoiceDate 컬럼을 Index로 사용\n",
        "# keys 파라미터에 인덱스로 . 쓸칼럼이름을 입력\n",
        "sales_df.set_index(keys =['InvoiceDate'], inplace = True)\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "drmsR-dcy3aX",
        "outputId": "e72e7850-b8d1-496c-ac54-f0e9183e6e08"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                InvoiceNo StockCode                          Description  \\\n",
              "InvoiceDate                                                                \n",
              "12/1/2010 8:26     536365    85123A   WHITE HANGING HEART T-LIGHT HOLDER   \n",
              "12/1/2010 8:26     536365     71053                  WHITE METAL LANTERN   \n",
              "12/1/2010 8:26     536365    84406B       CREAM CUPID HEARTS COAT HANGER   \n",
              "12/1/2010 8:26     536365    84029G  KNITTED UNION FLAG HOT WATER BOTTLE   \n",
              "12/1/2010 8:26     536365    84029E       RED WOOLLY HOTTIE WHITE HEART.   \n",
              "...                   ...       ...                                  ...   \n",
              "12/9/2011 12:50    581587     22613          PACK OF 20 SPACEBOY NAPKINS   \n",
              "12/9/2011 12:50    581587     22899         CHILDREN'S APRON DOLLY GIRL    \n",
              "12/9/2011 12:50    581587     23254        CHILDRENS CUTLERY DOLLY GIRL    \n",
              "12/9/2011 12:50    581587     23255      CHILDRENS CUTLERY CIRCUS PARADE   \n",
              "12/9/2011 12:50    581587     22138        BAKING SET 9 PIECE RETROSPOT    \n",
              "\n",
              "                 Quantity  UnitPrice  CustomerID         Country  \n",
              "InvoiceDate                                                       \n",
              "12/1/2010 8:26          6       2.55     17850.0  United Kingdom  \n",
              "12/1/2010 8:26          6       3.39     17850.0  United Kingdom  \n",
              "12/1/2010 8:26          8       2.75     17850.0  United Kingdom  \n",
              "12/1/2010 8:26          6       3.39     17850.0  United Kingdom  \n",
              "12/1/2010 8:26          6       3.39     17850.0  United Kingdom  \n",
              "...                   ...        ...         ...             ...  \n",
              "12/9/2011 12:50        12       0.85     12680.0          France  \n",
              "12/9/2011 12:50         6       2.10     12680.0          France  \n",
              "12/9/2011 12:50         4       4.15     12680.0          France  \n",
              "12/9/2011 12:50         4       4.15     12680.0          France  \n",
              "12/9/2011 12:50         3       4.95     12680.0          France  \n",
              "\n",
              "[541909 rows x 7 columns]"
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              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
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              "      <td>536365</td>\n",
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              "      <td>8</td>\n",
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              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029G</td>\n",
              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "      <td>United Kingdom</td>\n",
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              "    <tr>\n",
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              "      <td>581587</td>\n",
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              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
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              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
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              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
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              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "      <td>France</td>\n",
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              "  </tbody>\n",
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              "<p>541909 rows × 7 columns</p>\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sales_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_24596c09-fc96-4fea-bc16-0ddcc3c73397 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# dataframe에 얼마나 많은 나라들이 있는지 확인\n",
        "# 이 나라들을 통해서 다중 인덱스를 구현할 예정\n",
        "sales_df['Country'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tHGshbH_zVqW",
        "outputId": "ac4cf5de-88c5-4235-811a-afa94d044520"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['United Kingdom', 'France', 'Australia', 'Netherlands', 'Germany',\n",
              "       'Norway', 'EIRE', 'Switzerland', 'Spain', 'Poland', 'Portugal',\n",
              "       'Italy', 'Belgium', 'Lithuania', 'Japan', 'Iceland',\n",
              "       'Channel Islands', 'Denmark', 'Cyprus', 'Sweden', 'Austria',\n",
              "       'Israel', 'Finland', 'Bahrain', 'Greece', 'Hong Kong', 'Singapore',\n",
              "       'Lebanon', 'United Arab Emirates', 'Saudi Arabia',\n",
              "       'Czech Republic', 'Canada', 'Unspecified', 'Brazil', 'USA',\n",
              "       'European Community', 'Malta', 'RSA'], dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## .set_index() 를 사용하여 다중 인덱스 DataFrame 생성\n",
        "특정 데이터프레임을 대상으로 .set_index() 메서드를 통해서 다중 인덱스를 가진 DataFrame을 생성할 수 있습니다.\n",
        "\n",
        "아래와 같이 , ```keys =``` 파라미터 값으로 컬럼들을 넣어주면, 그룹화 되면서 순서대로 각 컬럼들을 인덱스로 가지게 됩니다.\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "wglh0Yi7CDfv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sales_df = pd.read_csv('ecommerce_sales.csv', encoding = 'unicode_escape')\n",
        "sales_df.set_index(keys = ['Country', 'InvoiceDate'], inplace = True)\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "d1C2IPXyBY1e",
        "outputId": "210f2396-20c5-40b4-8be6-d1af3247a266"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               InvoiceNo StockCode  \\\n",
              "Country        InvoiceDate                           \n",
              "United Kingdom 12/1/2010 8:26     536365    85123A   \n",
              "               12/1/2010 8:26     536365     71053   \n",
              "               12/1/2010 8:26     536365    84406B   \n",
              "               12/1/2010 8:26     536365    84029G   \n",
              "               12/1/2010 8:26     536365    84029E   \n",
              "...                                  ...       ...   \n",
              "France         12/9/2011 12:50    581587     22613   \n",
              "               12/9/2011 12:50    581587     22899   \n",
              "               12/9/2011 12:50    581587     23254   \n",
              "               12/9/2011 12:50    581587     23255   \n",
              "               12/9/2011 12:50    581587     22138   \n",
              "\n",
              "                                                        Description  Quantity  \\\n",
              "Country        InvoiceDate                                                      \n",
              "United Kingdom 12/1/2010 8:26    WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "               12/1/2010 8:26                   WHITE METAL LANTERN         6   \n",
              "               12/1/2010 8:26        CREAM CUPID HEARTS COAT HANGER         8   \n",
              "               12/1/2010 8:26   KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "               12/1/2010 8:26        RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...                                                             ...       ...   \n",
              "France         12/9/2011 12:50          PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "               12/9/2011 12:50         CHILDREN'S APRON DOLLY GIRL          6   \n",
              "               12/9/2011 12:50        CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "               12/9/2011 12:50      CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "               12/9/2011 12:50        BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "                                UnitPrice  CustomerID  \n",
              "Country        InvoiceDate                             \n",
              "United Kingdom 12/1/2010 8:26        2.55     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "               12/1/2010 8:26        2.75     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "...                                   ...         ...  \n",
              "France         12/9/2011 12:50       0.85     12680.0  \n",
              "               12/9/2011 12:50       2.10     12680.0  \n",
              "               12/9/2011 12:50       4.15     12680.0  \n",
              "               12/9/2011 12:50       4.15     12680.0  \n",
              "               12/9/2011 12:50       4.95     12680.0  \n",
              "\n",
              "[541909 rows x 6 columns]"
            ],
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              "      <th rowspan=\"5\" valign=\"top\">United Kingdom</th>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>85123A</td>\n",
              "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
              "      <td>6</td>\n",
              "      <td>2.55</td>\n",
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              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
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              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
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              "      <td>536365</td>\n",
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              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
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              "      <td>...</td>\n",
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              "      <th rowspan=\"5\" valign=\"top\">France</th>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
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              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
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              "\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "\n",
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              "            title=\"Generate code using this dataframe.\"\n",
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              "\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_8efa84fa-7073-44a7-9448-e8e71f0ed92a button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# sort_index 를 통해서 각 인덱스를 A 부터 Z , 1 부터 오름차순으로 정렬\n",
        "sales_df.sort_index(inplace = True)\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "4NDrTiiQB2iR",
        "outputId": "8b0df253-b00d-4503-bc04-4db6d73de45a"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           InvoiceNo StockCode  \\\n",
              "Country     InvoiceDate                          \n",
              "Australia   1/10/2011 9:58    540557     22523   \n",
              "            1/11/2011 9:47    540700     21581   \n",
              "            1/11/2011 9:47    540700     22619   \n",
              "            1/11/2011 9:47    540700    84997B   \n",
              "            1/11/2011 9:47    540700     20727   \n",
              "...                              ...       ...   \n",
              "Unspecified 9/2/2011 12:17    565303     85227   \n",
              "            9/2/2011 12:17    565303     22138   \n",
              "            9/2/2011 12:17    565303     21889   \n",
              "            9/2/2011 12:17    565303     22550   \n",
              "            9/2/2011 12:17    565303     23127   \n",
              "\n",
              "                                                  Description  Quantity  \\\n",
              "Country     InvoiceDate                                                   \n",
              "Australia   1/10/2011 9:58            CHILDS GARDEN FORK PINK        96   \n",
              "            1/11/2011 9:47    SKULLS  DESIGN  COTTON TOTE BAG         6   \n",
              "            1/11/2011 9:47          SET OF 6 SOLDIER SKITTLES         8   \n",
              "            1/11/2011 9:47  RED 3 PIECE RETROSPOT CUTLERY SET         6   \n",
              "            1/11/2011 9:47            LUNCH BAG  BLACK SKULL.        20   \n",
              "...                                                       ...       ...   \n",
              "Unspecified 9/2/2011 12:17     SET OF 6 3D KIT CARDS FOR KIDS         4   \n",
              "            9/2/2011 12:17      BAKING SET 9 PIECE RETROSPOT          2   \n",
              "            9/2/2011 12:17             WOODEN BOX OF DOMINOES         5   \n",
              "            9/2/2011 12:17                   HOLIDAY FUN LUDO         2   \n",
              "            9/2/2011 12:17          FELTCRAFT GIRL NICOLE KIT         1   \n",
              "\n",
              "                            UnitPrice  CustomerID  \n",
              "Country     InvoiceDate                            \n",
              "Australia   1/10/2011 9:58       0.85     12415.0  \n",
              "            1/11/2011 9:47       2.25     12393.0  \n",
              "            1/11/2011 9:47       3.75     12393.0  \n",
              "            1/11/2011 9:47       3.75     12393.0  \n",
              "            1/11/2011 9:47       1.65     12393.0  \n",
              "...                               ...         ...  \n",
              "Unspecified 9/2/2011 12:17       0.85         NaN  \n",
              "            9/2/2011 12:17       4.95         NaN  \n",
              "            9/2/2011 12:17       1.25         NaN  \n",
              "            9/2/2011 12:17       3.75         NaN  \n",
              "            9/2/2011 12:17       4.95         NaN  \n",
              "\n",
              "[541909 rows x 6 columns]"
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              "      <th>InvoiceNo</th>\n",
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              "      <th rowspan=\"5\" valign=\"top\">Australia</th>\n",
              "      <th>1/10/2011 9:58</th>\n",
              "      <td>540557</td>\n",
              "      <td>22523</td>\n",
              "      <td>CHILDS GARDEN FORK PINK</td>\n",
              "      <td>96</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12415.0</td>\n",
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              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>21581</td>\n",
              "      <td>SKULLS  DESIGN  COTTON TOTE BAG</td>\n",
              "      <td>6</td>\n",
              "      <td>2.25</td>\n",
              "      <td>12393.0</td>\n",
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              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>22619</td>\n",
              "      <td>SET OF 6 SOLDIER SKITTLES</td>\n",
              "      <td>8</td>\n",
              "      <td>3.75</td>\n",
              "      <td>12393.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>84997B</td>\n",
              "      <td>RED 3 PIECE RETROSPOT CUTLERY SET</td>\n",
              "      <td>6</td>\n",
              "      <td>3.75</td>\n",
              "      <td>12393.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>20727</td>\n",
              "      <td>LUNCH BAG  BLACK SKULL.</td>\n",
              "      <td>20</td>\n",
              "      <td>1.65</td>\n",
              "      <td>12393.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
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              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">Unspecified</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>85227</td>\n",
              "      <td>SET OF 6 3D KIT CARDS FOR KIDS</td>\n",
              "      <td>4</td>\n",
              "      <td>0.85</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>2</td>\n",
              "      <td>4.95</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>21889</td>\n",
              "      <td>WOODEN BOX OF DOMINOES</td>\n",
              "      <td>5</td>\n",
              "      <td>1.25</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>22550</td>\n",
              "      <td>HOLIDAY FUN LUDO</td>\n",
              "      <td>2</td>\n",
              "      <td>3.75</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>23127</td>\n",
              "      <td>FELTCRAFT GIRL NICOLE KIT</td>\n",
              "      <td>1</td>\n",
              "      <td>4.95</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
              "</div>\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",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# sales_df 데이터프레임의 모든 index들을 나열해서 출력\n",
        "sales_df.index"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZXHWx1d5CpEt",
        "outputId": "2cb6fb1d-1af6-412e-9bf1-e99059b8142d"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MultiIndex([(  'Australia', '1/10/2011 9:58'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            (  'Australia', '1/11/2011 9:47'),\n",
              "            ...\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17'),\n",
              "            ('Unspecified', '9/2/2011 12:17')],\n",
              "           names=['Country', 'InvoiceDate'], length=541909)"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 인덱스 이름들을 출력\n",
        "sales_df.index.names"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XnAg_wDsC1Nu",
        "outputId": "c380c090-d0ee-416f-f52b-170a8301aa2f"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "FrozenList(['Country', 'InvoiceDate'])"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# index 들의 DataType 출력\n",
        "# MultiIndex로 출력되는것을 확인할 수 있음.\n",
        "print(type(sales_df.index))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Th5tHy3rC_Q9",
        "outputId": "8e601f60-a09c-42f9-c3d5-2bee64dd993f"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.indexes.multi.MultiIndex'>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 특정 Index 값 출력\n",
        "sales_df.index[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NTiqESJgDEY5",
        "outputId": "a2e9bcbc-d59d-4bed-8cc8-6f1b1ab4f71e"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('Australia', '1/10/2011 9:58')"
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 데이터프레임 내림차순 정렬\n",
        "sales_df.sort_index(ascending=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "2ntezM4WDKaA",
        "outputId": "47761f58-f5a8-4996-ca8a-c0f7b774a709"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           InvoiceNo StockCode  \\\n",
              "Country     InvoiceDate                          \n",
              "Unspecified 9/2/2011 12:17    565303     22904   \n",
              "            9/2/2011 12:17    565303     21329   \n",
              "            9/2/2011 12:17    565303     21992   \n",
              "            9/2/2011 12:17    565303     20772   \n",
              "            9/2/2011 12:17    565303     23196   \n",
              "...                              ...       ...   \n",
              "Australia   1/11/2011 9:47    540700     21578   \n",
              "            1/11/2011 9:47    540700     21577   \n",
              "            1/11/2011 9:47    540700     22245   \n",
              "            1/11/2011 9:47    540700     22244   \n",
              "            1/10/2011 9:58    540557     22523   \n",
              "\n",
              "                                                 Description  Quantity  \\\n",
              "Country     InvoiceDate                                                  \n",
              "Unspecified 9/2/2011 12:17         CALENDAR PAPER CUT DESIGN         1   \n",
              "            9/2/2011 12:17           DINOSAURS  WRITING SET          1   \n",
              "            9/2/2011 12:17    VINTAGE PAISLEY STATIONERY SET         1   \n",
              "            9/2/2011 12:17               GARDEN PATH JOURNAL         1   \n",
              "            9/2/2011 12:17     VINTAGE LEAF MAGNETIC NOTEPAD         1   \n",
              "...                                                      ...       ...   \n",
              "Australia   1/11/2011 9:47  WOODLAND DESIGN  COTTON TOTE BAG        12   \n",
              "            1/11/2011 9:47   SAVE THE PLANET COTTON TOTE BAG        12   \n",
              "            1/11/2011 9:47      HOOK, 1 HANGER ,MAGIC GARDEN        12   \n",
              "            1/11/2011 9:47        3 HOOK HANGER MAGIC GARDEN        12   \n",
              "            1/10/2011 9:58           CHILDS GARDEN FORK PINK        96   \n",
              "\n",
              "                            UnitPrice  CustomerID  \n",
              "Country     InvoiceDate                            \n",
              "Unspecified 9/2/2011 12:17       2.95         NaN  \n",
              "            9/2/2011 12:17       1.65         NaN  \n",
              "            9/2/2011 12:17       1.25         NaN  \n",
              "            9/2/2011 12:17       2.55         NaN  \n",
              "            9/2/2011 12:17       1.45         NaN  \n",
              "...                               ...         ...  \n",
              "Australia   1/11/2011 9:47       2.25     12393.0  \n",
              "            1/11/2011 9:47       2.25     12393.0  \n",
              "            1/11/2011 9:47       0.85     12393.0  \n",
              "            1/11/2011 9:47       1.95     12393.0  \n",
              "            1/10/2011 9:58       0.85     12415.0  \n",
              "\n",
              "[541909 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-77f3f0fa-500d-40ae-849a-7aaf8e841af1\" 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></th>\n",
              "      <th>InvoiceNo</th>\n",
              "      <th>StockCode</th>\n",
              "      <th>Description</th>\n",
              "      <th>Quantity</th>\n",
              "      <th>UnitPrice</th>\n",
              "      <th>CustomerID</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country</th>\n",
              "      <th>InvoiceDate</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 rowspan=\"5\" valign=\"top\">Unspecified</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>22904</td>\n",
              "      <td>CALENDAR PAPER CUT DESIGN</td>\n",
              "      <td>1</td>\n",
              "      <td>2.95</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>21329</td>\n",
              "      <td>DINOSAURS  WRITING SET</td>\n",
              "      <td>1</td>\n",
              "      <td>1.65</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>21992</td>\n",
              "      <td>VINTAGE PAISLEY STATIONERY SET</td>\n",
              "      <td>1</td>\n",
              "      <td>1.25</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>20772</td>\n",
              "      <td>GARDEN PATH JOURNAL</td>\n",
              "      <td>1</td>\n",
              "      <td>2.55</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>23196</td>\n",
              "      <td>VINTAGE LEAF MAGNETIC NOTEPAD</td>\n",
              "      <td>1</td>\n",
              "      <td>1.45</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">Australia</th>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>21578</td>\n",
              "      <td>WOODLAND DESIGN  COTTON TOTE BAG</td>\n",
              "      <td>12</td>\n",
              "      <td>2.25</td>\n",
              "      <td>12393.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>21577</td>\n",
              "      <td>SAVE THE PLANET COTTON TOTE BAG</td>\n",
              "      <td>12</td>\n",
              "      <td>2.25</td>\n",
              "      <td>12393.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>22245</td>\n",
              "      <td>HOOK, 1 HANGER ,MAGIC GARDEN</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12393.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>22244</td>\n",
              "      <td>3 HOOK HANGER MAGIC GARDEN</td>\n",
              "      <td>12</td>\n",
              "      <td>1.95</td>\n",
              "      <td>12393.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1/10/2011 9:58</th>\n",
              "      <td>540557</td>\n",
              "      <td>22523</td>\n",
              "      <td>CHILDS GARDEN FORK PINK</td>\n",
              "      <td>96</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12415.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-77f3f0fa-500d-40ae-849a-7aaf8e841af1')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-77f3f0fa-500d-40ae-849a-7aaf8e841af1 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-77f3f0fa-500d-40ae-849a-7aaf8e841af1');\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",
              "\n",
              "\n",
              "<div id=\"df-61924120-6fd1-47f3-8e99-b147cd8d64d5\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-61924120-6fd1-47f3-8e99-b147cd8d64d5')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-61924120-6fd1-47f3-8e99-b147cd8d64d5 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Multi-Indexing 연산방안\n",
        "\n",
        "## 1. 특정 Index 추출\n",
        "\n",
        "```df.index.get_level_values({level || column Name})``` 메서드를 통해서  특정 level의 Index를 추출할 수 있습니다.\n",
        "\n",
        "## 2. 다중 Index 컬럼명 변경\n",
        "\n",
        "```df.index.set_names()``` 메서드를 통해 각 Index 컬럼 이름을 재 정의할 수 있습니댜.\n"
      ],
      "metadata": {
        "id": "4hHOX9QSDsqB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Test용 다중 인덱스를 가진 데이터프레임 생성\n",
        "sales_df = pd.read_csv('ecommerce_sales.csv', encoding = 'unicode_escape')\n",
        "sales_df.set_index(keys = ['Country', 'InvoiceDate'], inplace = True)\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "S9_g4UJXDTbc",
        "outputId": "1c6c48e0-cf6a-4839-d820-340e505e8450"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               InvoiceNo StockCode  \\\n",
              "Country        InvoiceDate                           \n",
              "United Kingdom 12/1/2010 8:26     536365    85123A   \n",
              "               12/1/2010 8:26     536365     71053   \n",
              "               12/1/2010 8:26     536365    84406B   \n",
              "               12/1/2010 8:26     536365    84029G   \n",
              "               12/1/2010 8:26     536365    84029E   \n",
              "...                                  ...       ...   \n",
              "France         12/9/2011 12:50    581587     22613   \n",
              "               12/9/2011 12:50    581587     22899   \n",
              "               12/9/2011 12:50    581587     23254   \n",
              "               12/9/2011 12:50    581587     23255   \n",
              "               12/9/2011 12:50    581587     22138   \n",
              "\n",
              "                                                        Description  Quantity  \\\n",
              "Country        InvoiceDate                                                      \n",
              "United Kingdom 12/1/2010 8:26    WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "               12/1/2010 8:26                   WHITE METAL LANTERN         6   \n",
              "               12/1/2010 8:26        CREAM CUPID HEARTS COAT HANGER         8   \n",
              "               12/1/2010 8:26   KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "               12/1/2010 8:26        RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...                                                             ...       ...   \n",
              "France         12/9/2011 12:50          PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "               12/9/2011 12:50         CHILDREN'S APRON DOLLY GIRL          6   \n",
              "               12/9/2011 12:50        CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "               12/9/2011 12:50      CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "               12/9/2011 12:50        BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "                                UnitPrice  CustomerID  \n",
              "Country        InvoiceDate                             \n",
              "United Kingdom 12/1/2010 8:26        2.55     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "               12/1/2010 8:26        2.75     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "...                                   ...         ...  \n",
              "France         12/9/2011 12:50       0.85     12680.0  \n",
              "               12/9/2011 12:50       2.10     12680.0  \n",
              "               12/9/2011 12:50       4.15     12680.0  \n",
              "               12/9/2011 12:50       4.15     12680.0  \n",
              "               12/9/2011 12:50       4.95     12680.0  \n",
              "\n",
              "[541909 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-601ff1cc-eb22-4d40-8002-4edb89af0622\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>InvoiceNo</th>\n",
              "      <th>StockCode</th>\n",
              "      <th>Description</th>\n",
              "      <th>Quantity</th>\n",
              "      <th>UnitPrice</th>\n",
              "      <th>CustomerID</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country</th>\n",
              "      <th>InvoiceDate</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 rowspan=\"5\" valign=\"top\">United Kingdom</th>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>85123A</td>\n",
              "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
              "      <td>6</td>\n",
              "      <td>2.55</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>71053</td>\n",
              "      <td>WHITE METAL LANTERN</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84406B</td>\n",
              "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
              "      <td>8</td>\n",
              "      <td>2.75</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029G</td>\n",
              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">France</th>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-601ff1cc-eb22-4d40-8002-4edb89af0622')\"\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 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-601ff1cc-eb22-4d40-8002-4edb89af0622 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-601ff1cc-eb22-4d40-8002-4edb89af0622');\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",
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              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e13643bd-bfbe-4882-9f6a-0af153da2108\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e13643bd-bfbe-4882-9f6a-0af153da2108')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
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              "  </button>\n",
              "\n",
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              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e13643bd-bfbe-4882-9f6a-0af153da2108 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_c57a4340-ccf1-4d77-a6fe-81050e85f1af\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sales_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_c57a4340-ccf1-4d77-a6fe-81050e85f1af button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 첫번째 Index만 추출하기\n",
        "sales_df.index.get_level_values(0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k-WJyyWFD2ay",
        "outputId": "2f4c84dd-feaa-46e5-eb82-219a78a41a8a"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['United Kingdom', 'United Kingdom', 'United Kingdom', 'United Kingdom',\n",
              "       'United Kingdom', 'United Kingdom', 'United Kingdom', 'United Kingdom',\n",
              "       'United Kingdom', 'United Kingdom',\n",
              "       ...\n",
              "       'France', 'France', 'France', 'France', 'France', 'France', 'France',\n",
              "       'France', 'France', 'France'],\n",
              "      dtype='object', name='Country', length=541909)"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 두번째 Index만 추출하기\n",
        "sales_df.index.get_level_values(1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "snUByfXxEPVT",
        "outputId": "aa6ff912-5ee9-4510-de2d-1b8e2e658edf"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:26',\n",
              "       '12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:28',\n",
              "       '12/1/2010 8:28', '12/1/2010 8:34',\n",
              "       ...\n",
              "       '12/9/2011 12:50', '12/9/2011 12:50', '12/9/2011 12:50',\n",
              "       '12/9/2011 12:50', '12/9/2011 12:50', '12/9/2011 12:50',\n",
              "       '12/9/2011 12:50', '12/9/2011 12:50', '12/9/2011 12:50',\n",
              "       '12/9/2011 12:50'],\n",
              "      dtype='object', name='InvoiceDate', length=541909)"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Index 중 Country level 의 컬럼 출력\n",
        "sales_df.index.get_level_values('Country')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ROqvxqu-EZo0",
        "outputId": "f604ea1c-76a0-4dde-875f-f7f4c8e56f0f"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['United Kingdom', 'United Kingdom', 'United Kingdom', 'United Kingdom',\n",
              "       'United Kingdom', 'United Kingdom', 'United Kingdom', 'United Kingdom',\n",
              "       'United Kingdom', 'United Kingdom',\n",
              "       ...\n",
              "       'France', 'France', 'France', 'France', 'France', 'France', 'France',\n",
              "       'France', 'France', 'France'],\n",
              "      dtype='object', name='Country', length=541909)"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Index 중 InvoiceDate level 의 컬럼 출력\n",
        "sales_df.index.get_level_values('InvoiceDate')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CV_Ez1urE7Jl",
        "outputId": "3c6a61c3-bc51-4c0f-bc88-aa66cdf8f993"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:26',\n",
              "       '12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:26', '12/1/2010 8:28',\n",
              "       '12/1/2010 8:28', '12/1/2010 8:34',\n",
              "       ...\n",
              "       '12/9/2011 12:50', '12/9/2011 12:50', '12/9/2011 12:50',\n",
              "       '12/9/2011 12:50', '12/9/2011 12:50', '12/9/2011 12:50',\n",
              "       '12/9/2011 12:50', '12/9/2011 12:50', '12/9/2011 12:50',\n",
              "       '12/9/2011 12:50'],\n",
              "      dtype='object', name='InvoiceDate', length=541909)"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# df.index.set_names() 메서드를 통해 각 Index 컬럼 이름을 재 정의할 수 있습니댜.\n",
        "sales_df.index.set_names(names = ['Transaction Date', 'Transaction Location'], inplace = True)\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "SVWbEcmpFMVN",
        "outputId": "205d995c-5747-4644-a16a-6bce28d3aecb"
      },
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                      InvoiceNo StockCode  \\\n",
              "Transaction Date Transaction Location                       \n",
              "United Kingdom   12/1/2010 8:26          536365    85123A   \n",
              "                 12/1/2010 8:26          536365     71053   \n",
              "                 12/1/2010 8:26          536365    84406B   \n",
              "                 12/1/2010 8:26          536365    84029G   \n",
              "                 12/1/2010 8:26          536365    84029E   \n",
              "...                                         ...       ...   \n",
              "France           12/9/2011 12:50         581587     22613   \n",
              "                 12/9/2011 12:50         581587     22899   \n",
              "                 12/9/2011 12:50         581587     23254   \n",
              "                 12/9/2011 12:50         581587     23255   \n",
              "                 12/9/2011 12:50         581587     22138   \n",
              "\n",
              "                                                               Description  \\\n",
              "Transaction Date Transaction Location                                        \n",
              "United Kingdom   12/1/2010 8:26         WHITE HANGING HEART T-LIGHT HOLDER   \n",
              "                 12/1/2010 8:26                        WHITE METAL LANTERN   \n",
              "                 12/1/2010 8:26             CREAM CUPID HEARTS COAT HANGER   \n",
              "                 12/1/2010 8:26        KNITTED UNION FLAG HOT WATER BOTTLE   \n",
              "                 12/1/2010 8:26             RED WOOLLY HOTTIE WHITE HEART.   \n",
              "...                                                                    ...   \n",
              "France           12/9/2011 12:50               PACK OF 20 SPACEBOY NAPKINS   \n",
              "                 12/9/2011 12:50              CHILDREN'S APRON DOLLY GIRL    \n",
              "                 12/9/2011 12:50             CHILDRENS CUTLERY DOLLY GIRL    \n",
              "                 12/9/2011 12:50           CHILDRENS CUTLERY CIRCUS PARADE   \n",
              "                 12/9/2011 12:50             BAKING SET 9 PIECE RETROSPOT    \n",
              "\n",
              "                                       Quantity  UnitPrice  CustomerID  \n",
              "Transaction Date Transaction Location                                   \n",
              "United Kingdom   12/1/2010 8:26               6       2.55     17850.0  \n",
              "                 12/1/2010 8:26               6       3.39     17850.0  \n",
              "                 12/1/2010 8:26               8       2.75     17850.0  \n",
              "                 12/1/2010 8:26               6       3.39     17850.0  \n",
              "                 12/1/2010 8:26               6       3.39     17850.0  \n",
              "...                                         ...        ...         ...  \n",
              "France           12/9/2011 12:50             12       0.85     12680.0  \n",
              "                 12/9/2011 12:50              6       2.10     12680.0  \n",
              "                 12/9/2011 12:50              4       4.15     12680.0  \n",
              "                 12/9/2011 12:50              4       4.15     12680.0  \n",
              "                 12/9/2011 12:50              3       4.95     12680.0  \n",
              "\n",
              "[541909 rows x 6 columns]"
            ],
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>InvoiceNo</th>\n",
              "      <th>StockCode</th>\n",
              "      <th>Description</th>\n",
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              "      <th>UnitPrice</th>\n",
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              "    <tr>\n",
              "      <th>Transaction Date</th>\n",
              "      <th>Transaction Location</th>\n",
              "      <th></th>\n",
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              "      <th></th>\n",
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              "  <tbody>\n",
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              "      <th rowspan=\"5\" valign=\"top\">United Kingdom</th>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>85123A</td>\n",
              "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
              "      <td>6</td>\n",
              "      <td>2.55</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>71053</td>\n",
              "      <td>WHITE METAL LANTERN</td>\n",
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              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84406B</td>\n",
              "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
              "      <td>8</td>\n",
              "      <td>2.75</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029G</td>\n",
              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">France</th>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "    20% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e915bb8a-71e7-4637-9600-26818bc6d743 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_c8ffcffa-60b0-41f5-989d-98be9421eeff\">\n",
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              "\n",
              "      .colab-df-generate: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",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "      [theme=dark] .colab-df-generate:hover {\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sales_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
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              "\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_c8ffcffa-60b0-41f5-989d-98be9421eeff button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 50
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sales_df_new = pd.read_csv('ecommerce_sales.csv', encoding ='unicode_escape')\n",
        "sales_df_new.set_index(keys = ['InvoiceDate','Country'], inplace = True)\n",
        "sales_df_new"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "gVBaa_noFfCT",
        "outputId": "553bf92f-81cd-411d-c106-69adf2b74d3d"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               InvoiceNo StockCode  \\\n",
              "InvoiceDate     Country                              \n",
              "12/1/2010 8:26  United Kingdom    536365    85123A   \n",
              "                United Kingdom    536365     71053   \n",
              "                United Kingdom    536365    84406B   \n",
              "                United Kingdom    536365    84029G   \n",
              "                United Kingdom    536365    84029E   \n",
              "...                                  ...       ...   \n",
              "12/9/2011 12:50 France            581587     22613   \n",
              "                France            581587     22899   \n",
              "                France            581587     23254   \n",
              "                France            581587     23255   \n",
              "                France            581587     22138   \n",
              "\n",
              "                                                        Description  Quantity  \\\n",
              "InvoiceDate     Country                                                         \n",
              "12/1/2010 8:26  United Kingdom   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "                United Kingdom                  WHITE METAL LANTERN         6   \n",
              "                United Kingdom       CREAM CUPID HEARTS COAT HANGER         8   \n",
              "                United Kingdom  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "                United Kingdom       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...                                                             ...       ...   \n",
              "12/9/2011 12:50 France                  PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "                France                 CHILDREN'S APRON DOLLY GIRL          6   \n",
              "                France                CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "                France              CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "                France                BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "                                UnitPrice  CustomerID  \n",
              "InvoiceDate     Country                                \n",
              "12/1/2010 8:26  United Kingdom       2.55     17850.0  \n",
              "                United Kingdom       3.39     17850.0  \n",
              "                United Kingdom       2.75     17850.0  \n",
              "                United Kingdom       3.39     17850.0  \n",
              "                United Kingdom       3.39     17850.0  \n",
              "...                                   ...         ...  \n",
              "12/9/2011 12:50 France               0.85     12680.0  \n",
              "                France               2.10     12680.0  \n",
              "                France               4.15     12680.0  \n",
              "                France               4.15     12680.0  \n",
              "                France               4.95     12680.0  \n",
              "\n",
              "[541909 rows x 6 columns]"
            ],
            "text/html": [
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              "      <th>InvoiceNo</th>\n",
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              "    <tr>\n",
              "      <th>InvoiceDate</th>\n",
              "      <th>Country</th>\n",
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              "  <tbody>\n",
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              "      <th rowspan=\"5\" valign=\"top\">12/1/2010 8:26</th>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>85123A</td>\n",
              "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
              "      <td>6</td>\n",
              "      <td>2.55</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>71053</td>\n",
              "      <td>WHITE METAL LANTERN</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
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              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>84406B</td>\n",
              "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
              "      <td>8</td>\n",
              "      <td>2.75</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029G</td>\n",
              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
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              "      <th rowspan=\"5\" valign=\"top\">12/9/2011 12:50</th>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
              "</div>\n",
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              "\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f182b00d-7d99-4381-80d2-eb95ff5d6b98')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
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              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "      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",
              "    .colab-df-buttons div {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "        document.querySelector('#df-f182b00d-7d99-4381-80d2-eb95ff5d6b98 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-f182b00d-7d99-4381-80d2-eb95ff5d6b98');\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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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
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              "  }\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-cd1492ec-fc6b-4a32-810e-e405f163fd9d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_da1e3f2d-43b9-4c22-a583-326ff8b5e743\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sales_df_new')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_da1e3f2d-43b9-4c22-a583-326ff8b5e743 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df_new');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df_new"
            }
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sales_df_new.index.set_names(names = ['Date', 'Location'], inplace = True)\n",
        "sales_df_new"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "mtTbzwK2F4ZV",
        "outputId": "447489c6-0afa-4d0d-8f5f-bf66772eafa2"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               InvoiceNo StockCode  \\\n",
              "Date            Location                             \n",
              "12/1/2010 8:26  United Kingdom    536365    85123A   \n",
              "                United Kingdom    536365     71053   \n",
              "                United Kingdom    536365    84406B   \n",
              "                United Kingdom    536365    84029G   \n",
              "                United Kingdom    536365    84029E   \n",
              "...                                  ...       ...   \n",
              "12/9/2011 12:50 France            581587     22613   \n",
              "                France            581587     22899   \n",
              "                France            581587     23254   \n",
              "                France            581587     23255   \n",
              "                France            581587     22138   \n",
              "\n",
              "                                                        Description  Quantity  \\\n",
              "Date            Location                                                        \n",
              "12/1/2010 8:26  United Kingdom   WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "                United Kingdom                  WHITE METAL LANTERN         6   \n",
              "                United Kingdom       CREAM CUPID HEARTS COAT HANGER         8   \n",
              "                United Kingdom  KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "                United Kingdom       RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...                                                             ...       ...   \n",
              "12/9/2011 12:50 France                  PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "                France                 CHILDREN'S APRON DOLLY GIRL          6   \n",
              "                France                CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "                France              CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "                France                BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "                                UnitPrice  CustomerID  \n",
              "Date            Location                               \n",
              "12/1/2010 8:26  United Kingdom       2.55     17850.0  \n",
              "                United Kingdom       3.39     17850.0  \n",
              "                United Kingdom       2.75     17850.0  \n",
              "                United Kingdom       3.39     17850.0  \n",
              "                United Kingdom       3.39     17850.0  \n",
              "...                                   ...         ...  \n",
              "12/9/2011 12:50 France               0.85     12680.0  \n",
              "                France               2.10     12680.0  \n",
              "                France               4.15     12680.0  \n",
              "                France               4.15     12680.0  \n",
              "                France               4.95     12680.0  \n",
              "\n",
              "[541909 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d22ca799-5471-45a9-a4f0-dbfa0edd3867\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
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              "    .dataframe thead th {\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th>InvoiceNo</th>\n",
              "      <th>StockCode</th>\n",
              "      <th>Description</th>\n",
              "      <th>Quantity</th>\n",
              "      <th>UnitPrice</th>\n",
              "      <th>CustomerID</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th>Location</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 rowspan=\"5\" valign=\"top\">12/1/2010 8:26</th>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>85123A</td>\n",
              "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
              "      <td>6</td>\n",
              "      <td>2.55</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>71053</td>\n",
              "      <td>WHITE METAL LANTERN</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>84406B</td>\n",
              "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
              "      <td>8</td>\n",
              "      <td>2.75</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029G</td>\n",
              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>United Kingdom</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">12/9/2011 12:50</th>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>France</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d22ca799-5471-45a9-a4f0-dbfa0edd3867')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-d22ca799-5471-45a9-a4f0-dbfa0edd3867 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-d22ca799-5471-45a9-a4f0-dbfa0edd3867');\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",
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              "\n",
              "\n",
              "<div id=\"df-255df00b-6692-4e89-8dbc-e2dc8b015f20\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-255df00b-6692-4e89-8dbc-e2dc8b015f20')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
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              "    (() => {\n",
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              "      quickchartButtonEl.style.display =\n",
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              "  </script>\n",
              "</div>\n",
              "\n",
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              "        height: 32px;\n",
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              "        width: 32px;\n",
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              "\n",
              "      .colab-df-generate: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",
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              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sales_df_new')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
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              "      buttonEl.style.display =\n",
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              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df_new');\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df_new"
            }
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Multi-Indexing 연산방안 - 2\n",
        "loc 을 통해 특정 인덱스의 원하는 값들을 다 뽑아올 수 있음.\n",
        "\n",
        "loc 파라미터로 필요한 각 인덱스의 값을 넣어주면 됨.\n",
        "```\n",
        "sales_df.loc['Australia','1/11/2011 9:47']\n",
        "```\n",
        "\n",
        "iloc을 이용해서 특정 행을 뽑아올 수 있음.\n",
        "```\n",
        "sales_df.iloc[0]\n",
        "```\n",
        "\n",
        "특정 행 / 열을 선택해서 뽑아올 수 있음.\n",
        "\n",
        "0행 0열 값을 꺼내오기\n",
        "```\n",
        "sales_df.iloc[0, 0]\n",
        "```\n",
        "\n",
        "loc 을 통해서 , UnitPrice을 출력했는데, 슬라이스를 사용해서 어디부터 어디까지를 특정지어서 출력이 가능함.\n",
        "- Country : Australia\n",
        "- InvoiceDate : 1/10/2011 9:58\n",
        "부터\n",
        "\n",
        "- Country : Belgium\n",
        "- InvoiceDate : 1/10/2011 9:58\n",
        "까지\n",
        "\n",
        "의 모든 UnitPrice를 추출\n",
        "\n",
        "```\n",
        "sales_df.loc['UnitPrice', ('Australia', '1/10/2011 9:58'):('Belgium', '1/10/2011 9:58')]\n",
        "```"
      ],
      "metadata": {
        "id": "6yIQhzMgGVQl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sales_df = pd.read_csv('ecommerce_sales.csv', encoding = 'unicode_escape')\n",
        "# 다중인덱스 데이터프레임 생성\n",
        "sales_df.set_index(keys = ['Country','InvoiceDate'], inplace = True)\n",
        "# 인덱스 알파벳 및 숫자 오름차순 정렬\n",
        "sales_df.sort_index(inplace = True)\n",
        "\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "x-FmS4V8GJPF",
        "outputId": "72cc392b-49c7-4213-a09a-9b4aabf239f7"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           InvoiceNo StockCode  \\\n",
              "Country     InvoiceDate                          \n",
              "Australia   1/10/2011 9:58    540557     22523   \n",
              "            1/11/2011 9:47    540700     21581   \n",
              "            1/11/2011 9:47    540700     22619   \n",
              "            1/11/2011 9:47    540700    84997B   \n",
              "            1/11/2011 9:47    540700     20727   \n",
              "...                              ...       ...   \n",
              "Unspecified 9/2/2011 12:17    565303     85227   \n",
              "            9/2/2011 12:17    565303     22138   \n",
              "            9/2/2011 12:17    565303     21889   \n",
              "            9/2/2011 12:17    565303     22550   \n",
              "            9/2/2011 12:17    565303     23127   \n",
              "\n",
              "                                                  Description  Quantity  \\\n",
              "Country     InvoiceDate                                                   \n",
              "Australia   1/10/2011 9:58            CHILDS GARDEN FORK PINK        96   \n",
              "            1/11/2011 9:47    SKULLS  DESIGN  COTTON TOTE BAG         6   \n",
              "            1/11/2011 9:47          SET OF 6 SOLDIER SKITTLES         8   \n",
              "            1/11/2011 9:47  RED 3 PIECE RETROSPOT CUTLERY SET         6   \n",
              "            1/11/2011 9:47            LUNCH BAG  BLACK SKULL.        20   \n",
              "...                                                       ...       ...   \n",
              "Unspecified 9/2/2011 12:17     SET OF 6 3D KIT CARDS FOR KIDS         4   \n",
              "            9/2/2011 12:17      BAKING SET 9 PIECE RETROSPOT          2   \n",
              "            9/2/2011 12:17             WOODEN BOX OF DOMINOES         5   \n",
              "            9/2/2011 12:17                   HOLIDAY FUN LUDO         2   \n",
              "            9/2/2011 12:17          FELTCRAFT GIRL NICOLE KIT         1   \n",
              "\n",
              "                            UnitPrice  CustomerID  \n",
              "Country     InvoiceDate                            \n",
              "Australia   1/10/2011 9:58       0.85     12415.0  \n",
              "            1/11/2011 9:47       2.25     12393.0  \n",
              "            1/11/2011 9:47       3.75     12393.0  \n",
              "            1/11/2011 9:47       3.75     12393.0  \n",
              "            1/11/2011 9:47       1.65     12393.0  \n",
              "...                               ...         ...  \n",
              "Unspecified 9/2/2011 12:17       0.85         NaN  \n",
              "            9/2/2011 12:17       4.95         NaN  \n",
              "            9/2/2011 12:17       1.25         NaN  \n",
              "            9/2/2011 12:17       3.75         NaN  \n",
              "            9/2/2011 12:17       4.95         NaN  \n",
              "\n",
              "[541909 rows x 6 columns]"
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              "      <th>InvoiceNo</th>\n",
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              "      <th rowspan=\"5\" valign=\"top\">Australia</th>\n",
              "      <th>1/10/2011 9:58</th>\n",
              "      <td>540557</td>\n",
              "      <td>22523</td>\n",
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              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>21581</td>\n",
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              "      <td>6</td>\n",
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              "      <th>1/11/2011 9:47</th>\n",
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              "      <td>540700</td>\n",
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              "      <td>6</td>\n",
              "      <td>3.75</td>\n",
              "      <td>12393.0</td>\n",
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              "    <tr>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
              "      <td>20727</td>\n",
              "      <td>LUNCH BAG  BLACK SKULL.</td>\n",
              "      <td>20</td>\n",
              "      <td>1.65</td>\n",
              "      <td>12393.0</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <td>2</td>\n",
              "      <td>4.95</td>\n",
              "      <td>NaN</td>\n",
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              "      <th>9/2/2011 12:17</th>\n",
              "      <td>565303</td>\n",
              "      <td>22550</td>\n",
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              "      <td>565303</td>\n",
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              "      <td>FELTCRAFT GIRL NICOLE KIT</td>\n",
              "      <td>1</td>\n",
              "      <td>4.95</td>\n",
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              "<p>541909 rows × 6 columns</p>\n",
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              "\n",
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              "\n",
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              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# loc 을 통해 특정 인덱스의 원하는 값들을 다 뽑아올 수 있음.\n",
        "# loc 파라미터로 필요한 각 인덱스의 값을 넣어주면 됨.\n",
        "sales_df.loc['Australia','1/11/2011 9:47']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 677
        },
        "id": "3WvKH_dtGrx6",
        "outputId": "96799788-01c0-43c8-a71f-aeeb385f4897"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                         InvoiceNo StockCode  \\\n",
              "Country   InvoiceDate                          \n",
              "Australia 1/11/2011 9:47    540700     21581   \n",
              "          1/11/2011 9:47    540700     22619   \n",
              "          1/11/2011 9:47    540700    84997B   \n",
              "          1/11/2011 9:47    540700     20727   \n",
              "          1/11/2011 9:47    540700     20726   \n",
              "          1/11/2011 9:47    540700     22383   \n",
              "          1/11/2011 9:47    540700     21249   \n",
              "          1/11/2011 9:47    540700     22378   \n",
              "          1/11/2011 9:47    540700     22175   \n",
              "          1/11/2011 9:47    540700     22176   \n",
              "          1/11/2011 9:47    540700    84997C   \n",
              "          1/11/2011 9:47    540700     20728   \n",
              "          1/11/2011 9:47    540700     22382   \n",
              "          1/11/2011 9:47    540700     21915   \n",
              "          1/11/2011 9:47    540700     22549   \n",
              "          1/11/2011 9:47    540700     21578   \n",
              "          1/11/2011 9:47    540700     21577   \n",
              "          1/11/2011 9:47    540700     22245   \n",
              "          1/11/2011 9:47    540700     22244   \n",
              "\n",
              "                                                Description  Quantity  \\\n",
              "Country   InvoiceDate                                                   \n",
              "Australia 1/11/2011 9:47    SKULLS  DESIGN  COTTON TOTE BAG         6   \n",
              "          1/11/2011 9:47          SET OF 6 SOLDIER SKITTLES         8   \n",
              "          1/11/2011 9:47  RED 3 PIECE RETROSPOT CUTLERY SET         6   \n",
              "          1/11/2011 9:47            LUNCH BAG  BLACK SKULL.        20   \n",
              "          1/11/2011 9:47                 LUNCH BAG WOODLAND        20   \n",
              "          1/11/2011 9:47            LUNCH BAG SUKI  DESIGN         10   \n",
              "          1/11/2011 9:47   WOODLAND  HEIGHT CHART STICKERS          6   \n",
              "          1/11/2011 9:47               WALL TIDY RETROSPOT         20   \n",
              "          1/11/2011 9:47                  PINK OWL SOFT TOY        12   \n",
              "          1/11/2011 9:47                  BLUE OWL SOFT TOY        12   \n",
              "          1/11/2011 9:47  BLUE 3 PIECE POLKADOT CUTLERY SET         6   \n",
              "          1/11/2011 9:47                LUNCH BAG CARS BLUE        20   \n",
              "          1/11/2011 9:47         LUNCH BAG SPACEBOY DESIGN         20   \n",
              "          1/11/2011 9:47             RED  HARMONICA IN BOX         12   \n",
              "          1/11/2011 9:47                   PICTURE DOMINOES        12   \n",
              "          1/11/2011 9:47   WOODLAND DESIGN  COTTON TOTE BAG        12   \n",
              "          1/11/2011 9:47    SAVE THE PLANET COTTON TOTE BAG        12   \n",
              "          1/11/2011 9:47       HOOK, 1 HANGER ,MAGIC GARDEN        12   \n",
              "          1/11/2011 9:47         3 HOOK HANGER MAGIC GARDEN        12   \n",
              "\n",
              "                          UnitPrice  CustomerID  \n",
              "Country   InvoiceDate                            \n",
              "Australia 1/11/2011 9:47       2.25     12393.0  \n",
              "          1/11/2011 9:47       3.75     12393.0  \n",
              "          1/11/2011 9:47       3.75     12393.0  \n",
              "          1/11/2011 9:47       1.65     12393.0  \n",
              "          1/11/2011 9:47       1.65     12393.0  \n",
              "          1/11/2011 9:47       1.65     12393.0  \n",
              "          1/11/2011 9:47       2.95     12393.0  \n",
              "          1/11/2011 9:47       0.85     12393.0  \n",
              "          1/11/2011 9:47       2.95     12393.0  \n",
              "          1/11/2011 9:47       2.95     12393.0  \n",
              "          1/11/2011 9:47       3.75     12393.0  \n",
              "          1/11/2011 9:47       1.65     12393.0  \n",
              "          1/11/2011 9:47       1.65     12393.0  \n",
              "          1/11/2011 9:47       1.25     12393.0  \n",
              "          1/11/2011 9:47       1.45     12393.0  \n",
              "          1/11/2011 9:47       2.25     12393.0  \n",
              "          1/11/2011 9:47       2.25     12393.0  \n",
              "          1/11/2011 9:47       0.85     12393.0  \n",
              "          1/11/2011 9:47       1.95     12393.0  "
            ],
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              "      <th>InvoiceNo</th>\n",
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              "      <th rowspan=\"19\" valign=\"top\">Australia</th>\n",
              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
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              "      <td>6</td>\n",
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              "      <th>1/11/2011 9:47</th>\n",
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              "      <td>20727</td>\n",
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              "      <td>540700</td>\n",
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              "      <td>1.65</td>\n",
              "      <td>12393.0</td>\n",
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              "      <th>1/11/2011 9:47</th>\n",
              "      <td>540700</td>\n",
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              "      <td>12393.0</td>\n",
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              "      <th>1/11/2011 9:47</th>\n",
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              "      <td>540700</td>\n",
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              "      <th>1/11/2011 9:47</th>\n",
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              "      <th>1/11/2011 9:47</th>\n",
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              "      <td>6</td>\n",
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              "      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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-080f044b-5262-4fa0-8e96-8c41da0bb463 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-080f044b-5262-4fa0-8e96-8c41da0bb463');\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",
              "\n",
              "\n",
              "<div id=\"df-ac04f7af-1682-475f-8d92-21650b833b47\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-ac04f7af-1682-475f-8d92-21650b833b47')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "     width=\"24px\">\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ac04f7af-1682-475f-8d92-21650b833b47 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"sales_df\",\n  \"rows\": 19,\n  \"fields\": [\n    {\n      \"column\": \"InvoiceNo\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"540700\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"StockCode\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 19,\n        \"samples\": [\n          \"21581\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Description\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 19,\n        \"samples\": [\n          \"SKULLS  DESIGN  COTTON TOTE BAG\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Quantity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 6,\n        \"max\": 20,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"UnitPrice\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9303838106328589,\n        \"min\": 0.85,\n        \"max\": 3.75,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          3.75\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CustomerID\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 12393.0,\n        \"max\": 12393.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          12393.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 특정 행만을 시리즈로 꺼내오고 싶다면, loc을 그대로 사용\n",
        "# 첫번쨰로 각 인덱스 튜플이 들어가고, 그다음 파라미터로 칼럼 명을 넣어주면 됨.\n",
        "# Australia, 1/11/2011 9:47 인덱스를 가진 행의 UnitPrice를 모두 출력\n",
        "sales_df.loc[ ('Australia', '1/11/2011 9:47') , 'UnitPrice']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6HrheL00G6hL",
        "outputId": "459ae721-0fb4-4110-bdf7-c108650ae19d"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country    InvoiceDate   \n",
              "Australia  1/11/2011 9:47    2.25\n",
              "           1/11/2011 9:47    3.75\n",
              "           1/11/2011 9:47    3.75\n",
              "           1/11/2011 9:47    1.65\n",
              "           1/11/2011 9:47    1.65\n",
              "           1/11/2011 9:47    1.65\n",
              "           1/11/2011 9:47    2.95\n",
              "           1/11/2011 9:47    0.85\n",
              "           1/11/2011 9:47    2.95\n",
              "           1/11/2011 9:47    2.95\n",
              "           1/11/2011 9:47    3.75\n",
              "           1/11/2011 9:47    1.65\n",
              "           1/11/2011 9:47    1.65\n",
              "           1/11/2011 9:47    1.25\n",
              "           1/11/2011 9:47    1.45\n",
              "           1/11/2011 9:47    2.25\n",
              "           1/11/2011 9:47    2.25\n",
              "           1/11/2011 9:47    0.85\n",
              "           1/11/2011 9:47    1.95\n",
              "Name: UnitPrice, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# iloc을 이용해서 특정 행을 뽑아올 수 있음.\n",
        "sales_df.iloc[0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "woaHyVUdITE1",
        "outputId": "1f7203d7-3e18-431e-a01c-ee466a0dbc6a"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "InvoiceNo                       540557\n",
              "StockCode                        22523\n",
              "Description    CHILDS GARDEN FORK PINK\n",
              "Quantity                            96\n",
              "UnitPrice                         0.85\n",
              "CustomerID                     12415.0\n",
              "Name: (Australia, 1/10/2011 9:58), dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 특정 행 / 열을 선택해서 뽑아올 수 있음.\n",
        "# 0행 0열 값을 꺼내오기\n",
        "sales_df.iloc[0, 0]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 36
        },
        "id": "osqGcLreLwgP",
        "outputId": "7e1a6081-cf05-4e10-8aee-eeed0af464e0"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'540557'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 행과 열을 정반대로 바꿀 수 있음.\n",
        "# 행과 열의 순서가 바뀐것이지, 인덱스 자체가 바뀐것은 아님 !!\n",
        "# 아직 인덱스는 Country , InvoiceDate\n",
        "sales_df = sales_df.transpose()\n",
        "sales_df.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 388
        },
        "id": "grbFOZE9MAG3",
        "outputId": "16fdfec2-27fb-4548-d90e-7b2aed241976"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country                    Australia                                   \\\n",
              "InvoiceDate           1/10/2011 9:58                   1/11/2011 9:47   \n",
              "InvoiceNo                     540557                           540700   \n",
              "StockCode                      22523                            21581   \n",
              "Description  CHILDS GARDEN FORK PINK  SKULLS  DESIGN  COTTON TOTE BAG   \n",
              "Quantity                          96                                6   \n",
              "UnitPrice                       0.85                             2.25   \n",
              "CustomerID                   12415.0                          12393.0   \n",
              "\n",
              "Country                                                                    \\\n",
              "InvoiceDate             1/11/2011 9:47                     1/11/2011 9:47   \n",
              "InvoiceNo                       540700                             540700   \n",
              "StockCode                        22619                             84997B   \n",
              "Description  SET OF 6 SOLDIER SKITTLES  RED 3 PIECE RETROSPOT CUTLERY SET   \n",
              "Quantity                             8                                  6   \n",
              "UnitPrice                         3.75                               3.75   \n",
              "CustomerID                     12393.0                            12393.0   \n",
              "\n",
              "Country                                                   \\\n",
              "InvoiceDate           1/11/2011 9:47      1/11/2011 9:47   \n",
              "InvoiceNo                     540700              540700   \n",
              "StockCode                      20727               20726   \n",
              "Description  LUNCH BAG  BLACK SKULL.  LUNCH BAG WOODLAND   \n",
              "Quantity                          20                  20   \n",
              "UnitPrice                       1.65                1.65   \n",
              "CustomerID                   12393.0             12393.0   \n",
              "\n",
              "Country                                                                 \\\n",
              "InvoiceDate           1/11/2011 9:47                    1/11/2011 9:47   \n",
              "InvoiceNo                     540700                            540700   \n",
              "StockCode                      22383                             21249   \n",
              "Description  LUNCH BAG SUKI  DESIGN   WOODLAND  HEIGHT CHART STICKERS    \n",
              "Quantity                          10                                 6   \n",
              "UnitPrice                       1.65                              2.95   \n",
              "CustomerID                   12393.0                           12393.0   \n",
              "\n",
              "Country                                               ...  \\\n",
              "InvoiceDate        1/11/2011 9:47     1/11/2011 9:47  ...   \n",
              "InvoiceNo                  540700             540700  ...   \n",
              "StockCode                   22378              22175  ...   \n",
              "Description  WALL TIDY RETROSPOT   PINK OWL SOFT TOY  ...   \n",
              "Quantity                       20                 12  ...   \n",
              "UnitPrice                    0.85               2.95  ...   \n",
              "CustomerID                12393.0            12393.0  ...   \n",
              "\n",
              "Country                             Unspecified                            \\\n",
              "InvoiceDate                      9/2/2011 12:17            9/2/2011 12:17   \n",
              "InvoiceNo                                565303                    565303   \n",
              "StockCode                                 20983                     20977   \n",
              "Description  12 PENCILS TALL TUBE RED RETROSPOT  36 PENCILS TUBE WOODLAND   \n",
              "Quantity                                      4                         4   \n",
              "UnitPrice                                  0.85                      1.25   \n",
              "CustomerID                                  NaN                       NaN   \n",
              "\n",
              "Country                                                       \\\n",
              "InvoiceDate               9/2/2011 12:17      9/2/2011 12:17   \n",
              "InvoiceNo                         565303              565303   \n",
              "StockCode                          20982               23084   \n",
              "Description  12 PENCILS TALL TUBE SKULLS  RABBIT NIGHT LIGHT   \n",
              "Quantity                               5                   1   \n",
              "UnitPrice                           0.85                2.08   \n",
              "CustomerID                           NaN                 NaN   \n",
              "\n",
              "Country                                                        \\\n",
              "InvoiceDate    9/2/2011 12:17                  9/2/2011 12:17   \n",
              "InvoiceNo              565303                          565303   \n",
              "StockCode               22549                           85227   \n",
              "Description  PICTURE DOMINOES  SET OF 6 3D KIT CARDS FOR KIDS   \n",
              "Quantity                    1                               4   \n",
              "UnitPrice                1.45                            0.85   \n",
              "CustomerID                NaN                             NaN   \n",
              "\n",
              "Country                                                             \\\n",
              "InvoiceDate                 9/2/2011 12:17          9/2/2011 12:17   \n",
              "InvoiceNo                           565303                  565303   \n",
              "StockCode                            22138                   21889   \n",
              "Description  BAKING SET 9 PIECE RETROSPOT   WOODEN BOX OF DOMINOES   \n",
              "Quantity                                 2                       5   \n",
              "UnitPrice                             4.95                    1.25   \n",
              "CustomerID                             NaN                     NaN   \n",
              "\n",
              "Country                                                   \n",
              "InvoiceDate    9/2/2011 12:17             9/2/2011 12:17  \n",
              "InvoiceNo              565303                     565303  \n",
              "StockCode               22550                      23127  \n",
              "Description  HOLIDAY FUN LUDO  FELTCRAFT GIRL NICOLE KIT  \n",
              "Quantity                    2                          1  \n",
              "UnitPrice                3.75                       4.95  \n",
              "CustomerID                NaN                        NaN  \n",
              "\n",
              "[6 rows x 541909 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bd1ee97f-3e8f-4e17-9678-883191196dbb\" 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",
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              "    }\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr>\n",
              "      <th>Country</th>\n",
              "      <th colspan=\"10\" halign=\"left\">Australia</th>\n",
              "      <th>...</th>\n",
              "      <th colspan=\"10\" halign=\"left\">Unspecified</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>InvoiceDate</th>\n",
              "      <th>1/10/2011 9:58</th>\n",
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              "      <th>1/11/2011 9:47</th>\n",
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              "      <th>9/2/2011 12:17</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "      <th>9/2/2011 12:17</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>InvoiceNo</th>\n",
              "      <td>540557</td>\n",
              "      <td>540700</td>\n",
              "      <td>540700</td>\n",
              "      <td>540700</td>\n",
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              "      <td>540700</td>\n",
              "      <td>540700</td>\n",
              "      <td>...</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "      <td>565303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>StockCode</th>\n",
              "      <td>22523</td>\n",
              "      <td>21581</td>\n",
              "      <td>22619</td>\n",
              "      <td>84997B</td>\n",
              "      <td>20727</td>\n",
              "      <td>20726</td>\n",
              "      <td>22383</td>\n",
              "      <td>21249</td>\n",
              "      <td>22378</td>\n",
              "      <td>22175</td>\n",
              "      <td>...</td>\n",
              "      <td>20983</td>\n",
              "      <td>20977</td>\n",
              "      <td>20982</td>\n",
              "      <td>23084</td>\n",
              "      <td>22549</td>\n",
              "      <td>85227</td>\n",
              "      <td>22138</td>\n",
              "      <td>21889</td>\n",
              "      <td>22550</td>\n",
              "      <td>23127</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Description</th>\n",
              "      <td>CHILDS GARDEN FORK PINK</td>\n",
              "      <td>SKULLS  DESIGN  COTTON TOTE BAG</td>\n",
              "      <td>SET OF 6 SOLDIER SKITTLES</td>\n",
              "      <td>RED 3 PIECE RETROSPOT CUTLERY SET</td>\n",
              "      <td>LUNCH BAG  BLACK SKULL.</td>\n",
              "      <td>LUNCH BAG WOODLAND</td>\n",
              "      <td>LUNCH BAG SUKI  DESIGN</td>\n",
              "      <td>WOODLAND  HEIGHT CHART STICKERS</td>\n",
              "      <td>WALL TIDY RETROSPOT</td>\n",
              "      <td>PINK OWL SOFT TOY</td>\n",
              "      <td>...</td>\n",
              "      <td>12 PENCILS TALL TUBE RED RETROSPOT</td>\n",
              "      <td>36 PENCILS TUBE WOODLAND</td>\n",
              "      <td>12 PENCILS TALL TUBE SKULLS</td>\n",
              "      <td>RABBIT NIGHT LIGHT</td>\n",
              "      <td>PICTURE DOMINOES</td>\n",
              "      <td>SET OF 6 3D KIT CARDS FOR KIDS</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>WOODEN BOX OF DOMINOES</td>\n",
              "      <td>HOLIDAY FUN LUDO</td>\n",
              "      <td>FELTCRAFT GIRL NICOLE KIT</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Quantity</th>\n",
              "      <td>96</td>\n",
              "      <td>6</td>\n",
              "      <td>8</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>20</td>\n",
              "      <td>10</td>\n",
              "      <td>6</td>\n",
              "      <td>20</td>\n",
              "      <td>12</td>\n",
              "      <td>...</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>UnitPrice</th>\n",
              "      <td>0.85</td>\n",
              "      <td>2.25</td>\n",
              "      <td>3.75</td>\n",
              "      <td>3.75</td>\n",
              "      <td>1.65</td>\n",
              "      <td>1.65</td>\n",
              "      <td>1.65</td>\n",
              "      <td>2.95</td>\n",
              "      <td>0.85</td>\n",
              "      <td>2.95</td>\n",
              "      <td>...</td>\n",
              "      <td>0.85</td>\n",
              "      <td>1.25</td>\n",
              "      <td>0.85</td>\n",
              "      <td>2.08</td>\n",
              "      <td>1.45</td>\n",
              "      <td>0.85</td>\n",
              "      <td>4.95</td>\n",
              "      <td>1.25</td>\n",
              "      <td>3.75</td>\n",
              "      <td>4.95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>CustomerID</th>\n",
              "      <td>12415.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>12393.0</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>6 rows × 541909 columns</p>\n",
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              "  .colab-df-quickchart {\n",
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              "  .colab-df-quickchart:hover {\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
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              "            'suggestCharts', [key], {});\n",
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              "\n",
              "    </div>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 67
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 행과 열이 바뀌었기 때문에, 꺼낼때 반대로 꺼내야함.\n",
        "# Country : Australia\n",
        "# InvoiceDate : 1/10/2011 9:58\n",
        "# 인 행을 추출\n",
        "sales_df.loc['UnitPrice',('Australia','1/10/2011 9:58')]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Gbvf5yq-MQl9",
        "outputId": "6e7441fb-c779-41fe-ae82-c30495653b6b"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country    InvoiceDate   \n",
              "Australia  1/10/2011 9:58    0.85\n",
              "Name: UnitPrice, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# loc 을 통해서 , UnitPrice을 출력했는데, 슬라이스를 사용해서 어디부터 어디까지를 특정지어서 출력이 가능함.\n",
        "# Country : Australia\n",
        "# InvoiceDate : 1/10/2011 9:58\n",
        "# 부터\n",
        "# Country : Belgium\n",
        "# InvoiceDate : 1/10/2011 9:58\n",
        "# 까지의 모든 UnitPrice를 추출\n",
        "sales_df.loc['UnitPrice', ('Australia', '1/10/2011 9:58'):('Belgium', '1/10/2011 9:58')]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zGTrw_AGMhrp",
        "outputId": "7a1f951b-0f8f-4af3-c352-10a83ba2bfaa"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Country    InvoiceDate   \n",
              "Australia  1/10/2011 9:58    0.85\n",
              "           1/11/2011 9:47    2.25\n",
              "           1/11/2011 9:47    3.75\n",
              "           1/11/2011 9:47    3.75\n",
              "           1/11/2011 9:47    1.65\n",
              "                             ... \n",
              "Bahrain    5/9/2011 13:49    2.95\n",
              "           5/9/2011 13:49    2.95\n",
              "           5/9/2011 13:49    4.25\n",
              "           5/9/2011 13:49    4.25\n",
              "           5/9/2011 13:49    4.25\n",
              "Name: UnitPrice, Length: 1679, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sales_df = pd.read_csv('ecommerce_sales.csv', encoding = 'unicode_escape')\n",
        "sales_df.set_index(keys = ['Country','InvoiceDate'], inplace = True)\n"
      ],
      "metadata": {
        "id": "vpmu1oZYNVoH"
      },
      "execution_count": 73,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# 기존의 멀티인덱스 순서는 . Country 가 먼저고 InvoiceDate가 두번쨰인데,\n",
        "# 이 순서를 뒤바꿀 수 있음.\n",
        "sales_df = sales_df.swaplevel()\n",
        "sales_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "MSM2AwvTNsYn",
        "outputId": "a2c1f2d5-554f-40ac-caa1-796b2dc74007"
      },
      "execution_count": 75,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               InvoiceNo StockCode  \\\n",
              "Country        InvoiceDate                           \n",
              "United Kingdom 12/1/2010 8:26     536365    85123A   \n",
              "               12/1/2010 8:26     536365     71053   \n",
              "               12/1/2010 8:26     536365    84406B   \n",
              "               12/1/2010 8:26     536365    84029G   \n",
              "               12/1/2010 8:26     536365    84029E   \n",
              "...                                  ...       ...   \n",
              "France         12/9/2011 12:50    581587     22613   \n",
              "               12/9/2011 12:50    581587     22899   \n",
              "               12/9/2011 12:50    581587     23254   \n",
              "               12/9/2011 12:50    581587     23255   \n",
              "               12/9/2011 12:50    581587     22138   \n",
              "\n",
              "                                                        Description  Quantity  \\\n",
              "Country        InvoiceDate                                                      \n",
              "United Kingdom 12/1/2010 8:26    WHITE HANGING HEART T-LIGHT HOLDER         6   \n",
              "               12/1/2010 8:26                   WHITE METAL LANTERN         6   \n",
              "               12/1/2010 8:26        CREAM CUPID HEARTS COAT HANGER         8   \n",
              "               12/1/2010 8:26   KNITTED UNION FLAG HOT WATER BOTTLE         6   \n",
              "               12/1/2010 8:26        RED WOOLLY HOTTIE WHITE HEART.         6   \n",
              "...                                                             ...       ...   \n",
              "France         12/9/2011 12:50          PACK OF 20 SPACEBOY NAPKINS        12   \n",
              "               12/9/2011 12:50         CHILDREN'S APRON DOLLY GIRL          6   \n",
              "               12/9/2011 12:50        CHILDRENS CUTLERY DOLLY GIRL          4   \n",
              "               12/9/2011 12:50      CHILDRENS CUTLERY CIRCUS PARADE         4   \n",
              "               12/9/2011 12:50        BAKING SET 9 PIECE RETROSPOT          3   \n",
              "\n",
              "                                UnitPrice  CustomerID  \n",
              "Country        InvoiceDate                             \n",
              "United Kingdom 12/1/2010 8:26        2.55     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "               12/1/2010 8:26        2.75     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "               12/1/2010 8:26        3.39     17850.0  \n",
              "...                                   ...         ...  \n",
              "France         12/9/2011 12:50       0.85     12680.0  \n",
              "               12/9/2011 12:50       2.10     12680.0  \n",
              "               12/9/2011 12:50       4.15     12680.0  \n",
              "               12/9/2011 12:50       4.15     12680.0  \n",
              "               12/9/2011 12:50       4.95     12680.0  \n",
              "\n",
              "[541909 rows x 6 columns]"
            ],
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              "        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></th>\n",
              "      <th>InvoiceNo</th>\n",
              "      <th>StockCode</th>\n",
              "      <th>Description</th>\n",
              "      <th>Quantity</th>\n",
              "      <th>UnitPrice</th>\n",
              "      <th>CustomerID</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Country</th>\n",
              "      <th>InvoiceDate</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 rowspan=\"5\" valign=\"top\">United Kingdom</th>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>85123A</td>\n",
              "      <td>WHITE HANGING HEART T-LIGHT HOLDER</td>\n",
              "      <td>6</td>\n",
              "      <td>2.55</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>71053</td>\n",
              "      <td>WHITE METAL LANTERN</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84406B</td>\n",
              "      <td>CREAM CUPID HEARTS COAT HANGER</td>\n",
              "      <td>8</td>\n",
              "      <td>2.75</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029G</td>\n",
              "      <td>KNITTED UNION FLAG HOT WATER BOTTLE</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/1/2010 8:26</th>\n",
              "      <td>536365</td>\n",
              "      <td>84029E</td>\n",
              "      <td>RED WOOLLY HOTTIE WHITE HEART.</td>\n",
              "      <td>6</td>\n",
              "      <td>3.39</td>\n",
              "      <td>17850.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"5\" valign=\"top\">France</th>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22613</td>\n",
              "      <td>PACK OF 20 SPACEBOY NAPKINS</td>\n",
              "      <td>12</td>\n",
              "      <td>0.85</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22899</td>\n",
              "      <td>CHILDREN'S APRON DOLLY GIRL</td>\n",
              "      <td>6</td>\n",
              "      <td>2.10</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23254</td>\n",
              "      <td>CHILDRENS CUTLERY DOLLY GIRL</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>23255</td>\n",
              "      <td>CHILDRENS CUTLERY CIRCUS PARADE</td>\n",
              "      <td>4</td>\n",
              "      <td>4.15</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12/9/2011 12:50</th>\n",
              "      <td>581587</td>\n",
              "      <td>22138</td>\n",
              "      <td>BAKING SET 9 PIECE RETROSPOT</td>\n",
              "      <td>3</td>\n",
              "      <td>4.95</td>\n",
              "      <td>12680.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>541909 rows × 6 columns</p>\n",
              "</div>\n",
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              "\n",
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              "    async function quickchart(key) {\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_dfa0187a-7685-45fc-96c8-847432ed5500 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sales_df');\n",
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              "\n",
              "    </div>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sales_df"
            }
          },
          "metadata": {},
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# United Kingdom의 12/1/2010 8:26 날짜의 UnitPrice 평균 구하기\n",
        "sales_df.loc[('United Kingdom','12/1/2010 8:26'), 'UnitPrice'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xndrtmXtN5xJ",
        "outputId": "11976645-144e-4b8c-f68a-6f577991d478"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-79-f9797a5965f6>:1: PerformanceWarning: indexing past lexsort depth may impact performance.\n",
            "  sales_df.loc[('United Kingdom','12/1/2010 8:26'), 'UnitPrice'].mean()\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.91"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "kz3LfwYcOVWt"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}