02. loss & fraud.ipynb

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  "metadata": {
    "colab": {
      "name": "Supply_Chain2.ipynb",
      "provenance": [],
      "mount_file_id": "14hkz-1YWXHNIG1MBQyTUtWt0RWbSXgMb",
      "authorship_tag": "ABX9TyMBdWiSKIXmQ9jGl1JGQcuG",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/jianfeiZhao/Supply-Chain-Analysis/blob/master/Supply_Chain2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a3KCTFoiBmbG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "1e63608c-e178-45d7-9b2a-5463a0f71e78"
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "\n",
        "dataset = pd.read_csv('./SupplyChain.csv', encoding='unicode_escape')\n",
        "dataset.head(3)"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Type</th>\n",
              "      <th>Days for shipping (real)</th>\n",
              "      <th>Days for shipment (scheduled)</th>\n",
              "      <th>Benefit per order</th>\n",
              "      <th>Sales per customer</th>\n",
              "      <th>Delivery Status</th>\n",
              "      <th>Late_delivery_risk</th>\n",
              "      <th>Category Id</th>\n",
              "      <th>Category Name</th>\n",
              "      <th>Customer City</th>\n",
              "      <th>Customer Country</th>\n",
              "      <th>Customer Email</th>\n",
              "      <th>Customer Fname</th>\n",
              "      <th>Customer Id</th>\n",
              "      <th>Customer Lname</th>\n",
              "      <th>Customer Password</th>\n",
              "      <th>Customer Segment</th>\n",
              "      <th>Customer State</th>\n",
              "      <th>Customer Street</th>\n",
              "      <th>Customer Zipcode</th>\n",
              "      <th>Department Id</th>\n",
              "      <th>Department Name</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "      <th>Market</th>\n",
              "      <th>Order City</th>\n",
              "      <th>Order Country</th>\n",
              "      <th>Order Customer Id</th>\n",
              "      <th>order date (DateOrders)</th>\n",
              "      <th>Order Id</th>\n",
              "      <th>Order Item Cardprod Id</th>\n",
              "      <th>Order Item Discount</th>\n",
              "      <th>Order Item Discount Rate</th>\n",
              "      <th>Order Item Id</th>\n",
              "      <th>Order Item Product Price</th>\n",
              "      <th>Order Item Profit Ratio</th>\n",
              "      <th>Order Item Quantity</th>\n",
              "      <th>Sales</th>\n",
              "      <th>Order Item Total</th>\n",
              "      <th>Order Profit Per Order</th>\n",
              "      <th>Order Region</th>\n",
              "      <th>Order State</th>\n",
              "      <th>Order Status</th>\n",
              "      <th>Order Zipcode</th>\n",
              "      <th>Product Card Id</th>\n",
              "      <th>Product Category Id</th>\n",
              "      <th>Product Description</th>\n",
              "      <th>Product Image</th>\n",
              "      <th>Product Name</th>\n",
              "      <th>Product Price</th>\n",
              "      <th>Product Status</th>\n",
              "      <th>shipping date (DateOrders)</th>\n",
              "      <th>Shipping Mode</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>DEBIT</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>91.250000</td>\n",
              "      <td>314.640015</td>\n",
              "      <td>Advance shipping</td>\n",
              "      <td>0</td>\n",
              "      <td>73</td>\n",
              "      <td>Sporting Goods</td>\n",
              "      <td>Caguas</td>\n",
              "      <td>Puerto Rico</td>\n",
              "      <td>XXXXXXXXX</td>\n",
              "      <td>Cally</td>\n",
              "      <td>20755</td>\n",
              "      <td>Holloway</td>\n",
              "      <td>XXXXXXXXX</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>PR</td>\n",
              "      <td>5365 Noble Nectar Island</td>\n",
              "      <td>725.0</td>\n",
              "      <td>2</td>\n",
              "      <td>Fitness</td>\n",
              "      <td>18.251453</td>\n",
              "      <td>-66.037056</td>\n",
              "      <td>Pacific Asia</td>\n",
              "      <td>Bekasi</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>20755</td>\n",
              "      <td>1/31/2018 22:56</td>\n",
              "      <td>77202</td>\n",
              "      <td>1360</td>\n",
              "      <td>13.110000</td>\n",
              "      <td>0.04</td>\n",
              "      <td>180517</td>\n",
              "      <td>327.75</td>\n",
              "      <td>0.29</td>\n",
              "      <td>1</td>\n",
              "      <td>327.75</td>\n",
              "      <td>314.640015</td>\n",
              "      <td>91.250000</td>\n",
              "      <td>Southeast Asia</td>\n",
              "      <td>Java Occidental</td>\n",
              "      <td>COMPLETE</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1360</td>\n",
              "      <td>73</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
              "      <td>Smart watch</td>\n",
              "      <td>327.75</td>\n",
              "      <td>0</td>\n",
              "      <td>2/3/2018 22:56</td>\n",
              "      <td>Standard Class</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>TRANSFER</td>\n",
              "      <td>5</td>\n",
              "      <td>4</td>\n",
              "      <td>-249.089996</td>\n",
              "      <td>311.359985</td>\n",
              "      <td>Late delivery</td>\n",
              "      <td>1</td>\n",
              "      <td>73</td>\n",
              "      <td>Sporting Goods</td>\n",
              "      <td>Caguas</td>\n",
              "      <td>Puerto Rico</td>\n",
              "      <td>XXXXXXXXX</td>\n",
              "      <td>Irene</td>\n",
              "      <td>19492</td>\n",
              "      <td>Luna</td>\n",
              "      <td>XXXXXXXXX</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>PR</td>\n",
              "      <td>2679 Rustic Loop</td>\n",
              "      <td>725.0</td>\n",
              "      <td>2</td>\n",
              "      <td>Fitness</td>\n",
              "      <td>18.279451</td>\n",
              "      <td>-66.037064</td>\n",
              "      <td>Pacific Asia</td>\n",
              "      <td>Bikaner</td>\n",
              "      <td>India</td>\n",
              "      <td>19492</td>\n",
              "      <td>1/13/2018 12:27</td>\n",
              "      <td>75939</td>\n",
              "      <td>1360</td>\n",
              "      <td>16.389999</td>\n",
              "      <td>0.05</td>\n",
              "      <td>179254</td>\n",
              "      <td>327.75</td>\n",
              "      <td>-0.80</td>\n",
              "      <td>1</td>\n",
              "      <td>327.75</td>\n",
              "      <td>311.359985</td>\n",
              "      <td>-249.089996</td>\n",
              "      <td>South Asia</td>\n",
              "      <td>Rajastán</td>\n",
              "      <td>PENDING</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1360</td>\n",
              "      <td>73</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
              "      <td>Smart watch</td>\n",
              "      <td>327.75</td>\n",
              "      <td>0</td>\n",
              "      <td>1/18/2018 12:27</td>\n",
              "      <td>Standard Class</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>CASH</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>-247.779999</td>\n",
              "      <td>309.720001</td>\n",
              "      <td>Shipping on time</td>\n",
              "      <td>0</td>\n",
              "      <td>73</td>\n",
              "      <td>Sporting Goods</td>\n",
              "      <td>San Jose</td>\n",
              "      <td>EE. UU.</td>\n",
              "      <td>XXXXXXXXX</td>\n",
              "      <td>Gillian</td>\n",
              "      <td>19491</td>\n",
              "      <td>Maldonado</td>\n",
              "      <td>XXXXXXXXX</td>\n",
              "      <td>Consumer</td>\n",
              "      <td>CA</td>\n",
              "      <td>8510 Round Bear Gate</td>\n",
              "      <td>95125.0</td>\n",
              "      <td>2</td>\n",
              "      <td>Fitness</td>\n",
              "      <td>37.292233</td>\n",
              "      <td>-121.881279</td>\n",
              "      <td>Pacific Asia</td>\n",
              "      <td>Bikaner</td>\n",
              "      <td>India</td>\n",
              "      <td>19491</td>\n",
              "      <td>1/13/2018 12:06</td>\n",
              "      <td>75938</td>\n",
              "      <td>1360</td>\n",
              "      <td>18.030001</td>\n",
              "      <td>0.06</td>\n",
              "      <td>179253</td>\n",
              "      <td>327.75</td>\n",
              "      <td>-0.80</td>\n",
              "      <td>1</td>\n",
              "      <td>327.75</td>\n",
              "      <td>309.720001</td>\n",
              "      <td>-247.779999</td>\n",
              "      <td>South Asia</td>\n",
              "      <td>Rajastán</td>\n",
              "      <td>CLOSED</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1360</td>\n",
              "      <td>73</td>\n",
              "      <td>NaN</td>\n",
              "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
              "      <td>Smart watch</td>\n",
              "      <td>327.75</td>\n",
              "      <td>0</td>\n",
              "      <td>1/17/2018 12:06</td>\n",
              "      <td>Standard Class</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Type  ...   Shipping Mode\n",
              "0     DEBIT  ...  Standard Class\n",
              "1  TRANSFER  ...  Standard Class\n",
              "2      CASH  ...  Standard Class\n",
              "\n",
              "[3 rows x 53 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "A4lKSMCzCJCZ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "4ee9797e-a0b6-4448-9edf-e06d0f08d182"
      },
      "source": [
        "# 补全缺失值\n",
        "dataset['Customer Zipcode'].value_counts()\n",
        "dataset['Customer Zipcode'] = dataset['Customer Zipcode'].fillna(0)\n",
        "dataset['Customer Zipcode'].isnull().sum()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eFXQBlNsCNqm",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 108
        },
        "outputId": "0f5cf5ce-4a8b-4eb6-b690-07860424bb0e"
      },
      "source": [
        "# 查看交易方式\n",
        "#dataset['Type'].unique()\n",
        "dataset['Type'].value_counts()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DEBIT       69295\n",
              "TRANSFER    49883\n",
              "PAYMENT     41725\n",
              "CASH        19616\n",
              "Name: Type, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ds3IS-5xCVCR",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# 划分不同支付类型\n",
        "pay_type1 = dataset[dataset['Type'] == 'DEBIT']\n",
        "pay_type2 = dataset[dataset['Type'] == 'TRANSFER']\n",
        "pay_type3 = dataset[dataset['Type'] == 'PAYMENT']\n",
        "pay_type4 = dataset[dataset['Type'] == 'CASH']\n",
        "# 不同支付类型按地区划分\n",
        "count1 = pay_type1['Order Region'].value_counts()\n",
        "count2 = pay_type2['Order Region'].value_counts()\n",
        "count3 = pay_type3['Order Region'].value_counts()\n",
        "count4 = pay_type4['Order Region'].value_counts()"
      ],
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U16wu-EeEBeA",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        },
        "outputId": "5301c901-2e60-4012-f267-786ebc626fc5"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(20,8))\n",
        "\n",
        "dataset['Order Region'].value_counts().plot.bar(label='ALL TYPE')\n",
        "count1.plot.bar(color='b', label='DEBIT')\n",
        "count2.plot.bar(color='r', label='TRANSFER')\n",
        "count3.plot.bar(color='g', label='PAYMENT')\n",
        "count4.plot.bar(color='y', label='CASH')\n",
        "plt.xlabel('Order Regions')\n",
        "plt.xlabel('Number of payments')\n",
        "plt.title('Different Type of payments in all regions')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T24CjN0CKCRI",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "ce3b9dc8-6c92-4864-ce63-713a26995dec"
      },
      "source": [
        "# 对负收益的产品进行探索\n",
        "loss = dataset[dataset['Order Profit Per Order'] < 0]\n",
        "loss['Order Profit Per Order'].sum()  # 亏损总额"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-3883547.345768667"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KGgCP1etOPb5",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 940
        },
        "outputId": "3aebbf17-ee8d-48ff-928d-df0bc4b76973"
      },
      "source": [
        "# 最大负收益订单数Top 10 Category Name\n",
        "loss['Category Name'].value_counts().nlargest(10).plot.bar(figsize=(14,6), title='Products with most loss')\n",
        "plt.show()\n",
        "# 负收益地区Top 10\n",
        "loss['Order Region'].value_counts().nlargest(10).plot.bar(figsize=(14,6), title='Products with most loss')\n",
        "plt.show()"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1008x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VrbxEDTYQcE2",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        },
        "outputId": "1af6eec7-7f64-4e62-ae80-58c33baa813f"
      },
      "source": [
        "# 负收益可能是欺诈交易，会采用哪种支付方式？\n",
        "dataset['Order Status'].value_counts()\n",
        "xyz = dataset[dataset['Order Status'] == 'SUSPECTED_FRAUD']\n",
        "print('欺诈交易的支付方式：', xyz['Type'].value_counts())\n",
        "print('总的负收益：', loss['Benefit per order'].sum())\n",
        "print('欺诈订单的负收益：', xyz[xyz['Benefit per order']<0]['Benefit per order'].sum())"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "欺诈交易的支付方式： TRANSFER    4062\n",
            "Name: Type, dtype: int64\n",
            "总的负收益： -3883547.345768667\n",
            "欺诈订单的负收益： -90182.98003954\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XAZYK_aAjJjE",
        "colab_type": "text"
      },
      "source": [
        "TRANSFER支付方式最容易导致欺诈交易"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yyvFEvwjicn7",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 848
        },
        "outputId": "fae6b5ec-4233-414f-8028-4869768a58ec"
      },
      "source": [
        "xyz['Order Region'].value_counts().plot.bar(figsize=(20,8))\n",
        "plt.title('Region with high fraud', color='r')\n",
        "plt.ylabel('Fraud Number')\n",
        "plt.show()\n",
        "fraud_rate = xyz['Order Region'].value_counts()/dataset['Order Region'].value_counts()*100\n",
        "fraud_rate.sort_values(ascending=False).plot.bar(figsize=(20,8))\n",
        "plt.title('Fraud rate in different regions', color='r')\n",
        "plt.ylabel('Fraud Rate(%)')\n",
        "plt.show()"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6I6XN8GKkrit",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 470
        },
        "outputId": "42976a80-22f7-4849-b678-d38b9c211870"
      },
      "source": [
        "WE_fraud = xyz[xyz['Order Region'] == 'Western Europe']\n",
        "fraud_cat = xyz['Category Name'].value_counts().nlargest(10).plot.bar(figsize=(20,8), label='All regions', color='orange')\n",
        "WE_fraud_cat = WE_fraud['Category Name'].value_counts().nlargest(10).plot.bar(figsize=(20,8), label='Western Europe', color='red')\n",
        "plt.title('Top 10 category with fraud')\n",
        "plt.xlabel('Catgory Name')\n",
        "plt.show()"
      ],
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1Rql6rFu1qGu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        },
        "outputId": "3d2e2153-95e0-4083-ae9c-dc7ec47bb7de"
      },
      "source": [
        "# 筛选Top10风险最高的Customer\n",
        "xyz['Customer Fullname'] = xyz['Customer Fname']+xyz['Customer Lname']\n",
        "print(xyz['Customer Fullname'].value_counts().nlargest(10))"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "MarySmith        528\n",
            "RobertSmith       28\n",
            "JamesSmith        23\n",
            "DavidSmith        20\n",
            "JonathanSmith     18\n",
            "HenrySmith        16\n",
            "DanielSmith       15\n",
            "MaryTorres        15\n",
            "MaryJones         14\n",
            "SusanSmith        13\n",
            "Name: Customer Fullname, dtype: int64\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  \n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9SDHzxDt3JVE",
        "colab_type": "text"
      },
      "source": [
        "MarySmith, 姓氏为Smith 欺诈行为最多。"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RMloq_mk2qF5",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "a0d9d43c-a09d-4eca-b089-69697e456f8e"
      },
      "source": [
        "# MarySmith怀疑欺诈总交易金额\n",
        "xyz[xyz['Customer Fullname'] == 'MarySmith']['Sales'].sum()"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "102491.66191043999"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FFdBQ2xt4PSt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import pickle\n",
        "with open('data.pkl','wb') as file:\n",
        "  pickle.dump(dataset, file)"
      ],
      "execution_count": 46,
      "outputs": []
    }
  ]
}