missing_data/archived_notebooks/ScoBorrowingCapacity_v1_1data.ipynb

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      "name": "ScoBorrowingCapacity_v1.1data.ipynb",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XrN8dF0AbDXw"
      },
      "source": [
        "# setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5ZN07dAW8Nxa"
      },
      "source": [
        "import pandas as pd\n",
        "\n",
        "csv_urls = {\n",
        "    'members': 'https://dataspace.princeton.edu/bitstream/88435/dsp01b5644v608/2/SCoData_members_v1.1_2021-01.csv',\n",
        "    'books': 'https://dataspace.princeton.edu/bitstream/88435/dsp016d570067j/2/SCoData_books_v1.1_2021-01.csv',\n",
        "    'events': 'https://dataspace.princeton.edu/bitstream/88435/dsp012n49t475g/2/SCoData_events_v1.1_2021-01.csv'\n",
        "\n",
        "}\n",
        "\n",
        "# load members, books, events as csv\n",
        "members_df = pd.read_csv(csv_urls['members'])\n",
        "books_df = pd.read_csv(csv_urls['books'])\n",
        "events_df = pd.read_csv(csv_urls['events'])\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZAiyausmbGw0"
      },
      "source": [
        "## limit to events with complete start and end dates"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "lvWAnA1T8Z8C",
        "outputId": "9c3131b2-2124-407c-e5c2-82e804171a8b"
      },
      "source": [
        "# subset data for only those with complete start and end dates\n",
        "date_events = events_df[(events_df.start_date.str.len() > 9) & (events_df.end_date.str.len() > 9)].copy()\n",
        "# turn start/end dates into datetimes\n",
        "date_events['start_datetime'] = pd.to_datetime(date_events.start_date, format='%Y-%m-%d', errors='ignore')\n",
        "date_events['end_datetime'] = pd.to_datetime(date_events.end_date, format='%Y-%m-%d', errors='ignore')\n",
        "date_events = date_events.sort_values(by=['start_datetime'])\n",
        "date_events.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>event_type</th>\n",
              "      <th>start_date</th>\n",
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              "      <th>member_uris</th>\n",
              "      <th>member_names</th>\n",
              "      <th>member_sort_names</th>\n",
              "      <th>subscription_price_paid</th>\n",
              "      <th>subscription_deposit</th>\n",
              "      <th>subscription_duration</th>\n",
              "      <th>subscription_duration_days</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>subscription_category</th>\n",
              "      <th>subscription_purchase_date</th>\n",
              "      <th>reimbursement_refund</th>\n",
              "      <th>borrow_status</th>\n",
              "      <th>borrow_duration_days</th>\n",
              "      <th>purchase_price</th>\n",
              "      <th>currency</th>\n",
              "      <th>item_uri</th>\n",
              "      <th>item_title</th>\n",
              "      <th>item_volume</th>\n",
              "      <th>item_authors</th>\n",
              "      <th>item_year</th>\n",
              "      <th>item_notes</th>\n",
              "      <th>source_type</th>\n",
              "      <th>source_citation</th>\n",
              "      <th>source_manifest</th>\n",
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              "      <th>start_datetime</th>\n",
              "      <th>end_datetime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-11-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marcelle Flot</td>\n",
              "      <td>Flot, Marcelle</td>\n",
              "      <td>28.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 year</td>\n",
              "      <td>366.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>AdL</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-11-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7995</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1919-12-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Claude Cahun / Mlle Lucie Schwob</td>\n",
              "      <td>Cahun, Claude</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Lending Library Card;Logbook</td>\n",
              "      <td>Sylvia Beach, Lucie Schwob Lending Library Car...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/3a...</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1919-12-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-02-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Worthing</td>\n",
              "      <td>Worthing, Mrs.</td>\n",
              "      <td>12.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3 months</td>\n",
              "      <td>92.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-02-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>M. Keller</td>\n",
              "      <td>Keller, M.</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7999</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-11-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Denise Ulmann</td>\n",
              "      <td>Ulmann, Denise</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>Returned</td>\n",
              "      <td>10.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/m...</td>\n",
              "      <td>Diana of the Crossways</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Meredith, George</td>\n",
              "      <td>1885.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mlle Denise Ulmann Lending Libra...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/86...</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-11-28</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        event_type  start_date  ... start_datetime end_datetime\n",
              "0     Subscription  1919-11-17  ...     1919-11-17   1920-11-17\n",
              "7995  Subscription  1919-11-17  ...     1919-11-17   1919-12-17\n",
              "1     Subscription  1919-11-17  ...     1919-11-17   1920-02-17\n",
              "2     Subscription  1919-11-18  ...     1919-11-18   1919-12-18\n",
              "7999        Borrow  1919-11-18  ...     1919-11-18   1919-11-28\n",
              "\n",
              "[5 rows x 30 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uJUfL88HEDRd",
        "outputId": "7242af47-36e8-45b8-e566-b6c83edc6231"
      },
      "source": [
        "earliest_date = date_events.start_datetime.iloc[0]\n",
        "earliest_date"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timestamp('1919-11-17 00:00:00')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bblWV_zPbMg4"
      },
      "source": [
        "## separate out borrow events and subscription events"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ubr65IM6AFMb"
      },
      "source": [
        "# borrow events \n",
        "borrow_events = date_events[date_events.event_type == 'Borrow']"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 469
        },
        "id": "wkfYnAXJ_9cl",
        "outputId": "04cd629e-0c7c-455e-fd3c-5f23c8924c13"
      },
      "source": [
        "# subset data for subscription events with complete dates\n",
        "subscription_events = date_events[date_events.event_type.isin(['Subscription', 'Renewal', 'Supplement'])]\n",
        "subscription_events.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>event_type</th>\n",
              "      <th>start_date</th>\n",
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              "      <th>subscription_deposit</th>\n",
              "      <th>subscription_duration</th>\n",
              "      <th>subscription_duration_days</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>subscription_category</th>\n",
              "      <th>subscription_purchase_date</th>\n",
              "      <th>reimbursement_refund</th>\n",
              "      <th>borrow_status</th>\n",
              "      <th>borrow_duration_days</th>\n",
              "      <th>purchase_price</th>\n",
              "      <th>currency</th>\n",
              "      <th>item_uri</th>\n",
              "      <th>item_title</th>\n",
              "      <th>item_volume</th>\n",
              "      <th>item_authors</th>\n",
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              "      <th>end_datetime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-11-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marcelle Flot</td>\n",
              "      <td>Flot, Marcelle</td>\n",
              "      <td>28.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 year</td>\n",
              "      <td>366.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>AdL</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-11-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7995</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1919-12-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Claude Cahun / Mlle Lucie Schwob</td>\n",
              "      <td>Cahun, Claude</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Lending Library Card;Logbook</td>\n",
              "      <td>Sylvia Beach, Lucie Schwob Lending Library Car...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/3a...</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1919-12-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-02-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Worthing</td>\n",
              "      <td>Worthing, Mrs.</td>\n",
              "      <td>12.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3 months</td>\n",
              "      <td>92.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1920-02-17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>M. Keller</td>\n",
              "      <td>Keller, M.</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7996</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Henri Regnier</td>\n",
              "      <td>Regnier, Henri</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.6</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Student</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/c...</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        event_type  start_date  ... start_datetime end_datetime\n",
              "0     Subscription  1919-11-17  ...     1919-11-17   1920-11-17\n",
              "7995  Subscription  1919-11-17  ...     1919-11-17   1919-12-17\n",
              "1     Subscription  1919-11-17  ...     1919-11-17   1920-02-17\n",
              "2     Subscription  1919-11-18  ...     1919-11-18   1919-12-18\n",
              "7996  Subscription  1919-11-18  ...     1919-11-18   1919-12-18\n",
              "\n",
              "[5 rows x 30 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xcF6EXY-Fxrq",
        "outputId": "e31e0b69-b844-469d-c645-824ca98f688f"
      },
      "source": [
        "# end date for the last subscription\n",
        "subs_end_date = subscription_events.end_datetime.max()\n",
        "subs_end_date"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Timestamp('1942-09-03 00:00:00')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vOlAlkzdBg-B",
        "outputId": "fd7fab34-4d2d-422b-fbdc-388ea672cf0c"
      },
      "source": [
        "day = subscription_events.start_datetime.iloc[0]\n",
        "print(day)\n",
        "subscription_events[(subscription_events.start_datetime <= day) & (day < subscription_events.end_datetime)].subscription_volumes.sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1919-11-17 00:00:00\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "_xA4JswxSzBV",
        "outputId": "6dcff425-aa4a-44dc-f78d-87d781dba1a4"
      },
      "source": [
        "subs_vol_totals = subscription_events.groupby([\"subscription_volumes\"]).size().reset_index(name='count').sort_values(['count'], ascending=False)\n",
        "# alternately, can be generated more simply via\n",
        "# subscription_events.subscription_volumes.value_counts()\n",
        "subs_vol_totals"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>subscription_volumes</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.0</td>\n",
              "      <td>6040</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2.0</td>\n",
              "      <td>2521</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3.0</td>\n",
              "      <td>58</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4.0</td>\n",
              "      <td>31</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>6.0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7.0</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>8.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>10.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>17.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>60.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    subscription_volumes  count\n",
              "0                    1.0   6040\n",
              "1                    2.0   2521\n",
              "2                    3.0     58\n",
              "3                    4.0     31\n",
              "4                    5.0      2\n",
              "5                    6.0      2\n",
              "6                    7.0      2\n",
              "7                    8.0      1\n",
              "8                   10.0      1\n",
              "9                   17.0      1\n",
              "10                  60.0      1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 887
        },
        "id": "I_bzr-9ZTBla",
        "outputId": "151feb9d-0d5d-4658-be66-38f48d8b0b24"
      },
      "source": [
        "subscription_events[subscription_events.subscription_volumes > 4]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>event_type</th>\n",
              "      <th>start_date</th>\n",
              "      <th>end_date</th>\n",
              "      <th>member_uris</th>\n",
              "      <th>member_names</th>\n",
              "      <th>member_sort_names</th>\n",
              "      <th>subscription_price_paid</th>\n",
              "      <th>subscription_deposit</th>\n",
              "      <th>subscription_duration</th>\n",
              "      <th>subscription_duration_days</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>subscription_category</th>\n",
              "      <th>subscription_purchase_date</th>\n",
              "      <th>reimbursement_refund</th>\n",
              "      <th>borrow_status</th>\n",
              "      <th>borrow_duration_days</th>\n",
              "      <th>purchase_price</th>\n",
              "      <th>currency</th>\n",
              "      <th>item_uri</th>\n",
              "      <th>item_title</th>\n",
              "      <th>item_volume</th>\n",
              "      <th>item_authors</th>\n",
              "      <th>item_year</th>\n",
              "      <th>item_notes</th>\n",
              "      <th>source_type</th>\n",
              "      <th>source_citation</th>\n",
              "      <th>source_manifest</th>\n",
              "      <th>source_image</th>\n",
              "      <th>start_datetime</th>\n",
              "      <th>end_datetime</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>220</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1920-11-13</td>\n",
              "      <td>1920-12-13</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Pierce Williams</td>\n",
              "      <td>Williams, Mrs. Pierce</td>\n",
              "      <td>18.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920-11-13</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920-11-13</td>\n",
              "      <td>1920-12-13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10531</th>\n",
              "      <td>Supplement</td>\n",
              "      <td>1923-12-28</td>\n",
              "      <td>1924-03-27</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mme Lowenfeld</td>\n",
              "      <td>Lowenfeld, Mme</td>\n",
              "      <td>20.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2 months, 28 days</td>\n",
              "      <td>90.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1923-12-28</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1923-12-28</td>\n",
              "      <td>1924-03-27</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10875</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1924-05-01</td>\n",
              "      <td>1924-06-01</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Colonel Thackeray</td>\n",
              "      <td>Thackeray, Colonel</td>\n",
              "      <td>48.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>31.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1924-05-01</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1924-05-01</td>\n",
              "      <td>1924-06-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1948</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1924-06-10</td>\n",
              "      <td>1924-07-10</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>M. Lowenfeld</td>\n",
              "      <td>Lowenfeld, M.</td>\n",
              "      <td>48.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1924-06-10</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1924-06-10</td>\n",
              "      <td>1924-07-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3666</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1926-11-06</td>\n",
              "      <td>1926-11-20</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Kelley</td>\n",
              "      <td>Kelley, Mrs.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2 weeks</td>\n",
              "      <td>14.0</td>\n",
              "      <td>17.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1926-11-06</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",
              "      <td>NaN</td>\n",
              "      <td>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1926-11-06</td>\n",
              "      <td>1926-11-20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13533</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1926-11-10</td>\n",
              "      <td>1926-11-20</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>R. H. Myers</td>\n",
              "      <td>Myers, R. H.</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>10 days</td>\n",
              "      <td>10.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1926-11-10</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",
              "      <td>NaN</td>\n",
              "      <td>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1926-11-10</td>\n",
              "      <td>1926-11-20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3673</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1926-11-10</td>\n",
              "      <td>1927-11-10</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mme Genevoix</td>\n",
              "      <td>Genevoix, Mme</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 year</td>\n",
              "      <td>365.0</td>\n",
              "      <td>60.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1926-11-10</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",
              "      <td>NaN</td>\n",
              "      <td>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1926-11-10</td>\n",
              "      <td>1927-11-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18944</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1932-11-10</td>\n",
              "      <td>1933-02-10</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Sarah Pressly Watson / Miss S. P. Watson</td>\n",
              "      <td>Watson, Sarah Pressly</td>\n",
              "      <td>65.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3 months</td>\n",
              "      <td>92.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1932-11-10</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/5...</td>\n",
              "      <td>1932-11-10</td>\n",
              "      <td>1933-02-10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27657</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1938-03-02</td>\n",
              "      <td>1938-04-02</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Ford Madox Ford</td>\n",
              "      <td>Ford, Ford Madox</td>\n",
              "      <td>30.0</td>\n",
              "      <td>20.0</td>\n",
              "      <td>1 month</td>\n",
              "      <td>31.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1938-03-02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Ford Madox Ford Lending Library ...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/b9...</td>\n",
              "      <td>1938-03-02</td>\n",
              "      <td>1938-04-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33702</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-05-27</td>\n",
              "      <td>1942-05-27</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mme Jean Seillière</td>\n",
              "      <td>Seillière, Mme Jean</td>\n",
              "      <td>300.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 year</td>\n",
              "      <td>365.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941-05-27</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/4...</td>\n",
              "      <td>1941-05-27</td>\n",
              "      <td>1942-05-27</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         event_type  start_date  ... start_datetime end_datetime\n",
              "220    Subscription  1920-11-13  ...     1920-11-13   1920-12-13\n",
              "10531    Supplement  1923-12-28  ...     1923-12-28   1924-03-27\n",
              "10875       Renewal  1924-05-01  ...     1924-05-01   1924-06-01\n",
              "1948        Renewal  1924-06-10  ...     1924-06-10   1924-07-10\n",
              "3666        Renewal  1926-11-06  ...     1926-11-06   1926-11-20\n",
              "13533       Renewal  1926-11-10  ...     1926-11-10   1926-11-20\n",
              "3673        Renewal  1926-11-10  ...     1926-11-10   1927-11-10\n",
              "18944  Subscription  1932-11-10  ...     1932-11-10   1933-02-10\n",
              "27657  Subscription  1938-03-02  ...     1938-03-02   1938-04-02\n",
              "33702  Subscription  1941-05-27  ...     1941-05-27   1942-05-27\n",
              "\n",
              "[10 rows x 30 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bzngB6VUGbNf"
      },
      "source": [
        "## report on number of events excluded"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        },
        "id": "Ymii5QsbGdH_",
        "outputId": "a4fe7969-3291-4ebd-e213-50eb7cbf586a"
      },
      "source": [
        "# subset data for only those with complete start and end dates\n",
        "# - completely missing\n",
        "no_dates = events_df[events_df.start_date.isna() & events_df.end_date.isna()]\n",
        "no_start = events_df[events_df.start_date.isna() & events_df.end_date.notna()]\n",
        "no_end = events_df[events_df.start_date.notna() & events_df.end_date.isna()]\n",
        "\n",
        "# - partially missing\n",
        "partial_dates = events_df[(events_df.start_date.str.len() < 10) & (events_df.end_date.str.len() < 10)]\n",
        "partial_start = events_df[(events_df.start_date.str.len() < 10) & (events_df.end_date.str.len() >= 10)]\n",
        "partial_end = events_df[(events_df.start_date.str.len() >= 10) & (events_df.end_date.str.len() < 10)]\n",
        "\n",
        "excluded_events = pd.DataFrame([\n",
        "  ['no_dates', len(no_dates)],\n",
        "  ['no_start', len(no_start)],\n",
        "  ['no_end', len(no_end)],\n",
        "  ['partial_dates', len(partial_dates)],\n",
        "  ['partial_start', len(partial_start)],\n",
        "  ['partial_end', len(partial_end)]\n",
        "], columns=[\"label\", \"count\"])\n",
        "print('Excluded events, any type')\n",
        "excluded_events"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Excluded events, any type\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>label</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>no_dates</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>no_start</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>no_end</td>\n",
              "      <td>2092</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>partial_dates</td>\n",
              "      <td>179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>partial_start</td>\n",
              "      <td>101</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>partial_end</td>\n",
              "      <td>132</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           label  count\n",
              "0       no_dates    100\n",
              "1       no_start     74\n",
              "2         no_end   2092\n",
              "3  partial_dates    179\n",
              "4  partial_start    101\n",
              "5    partial_end    132"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MsdZJZyWJhtD"
      },
      "source": [
        "### excluded borrow events"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        },
        "id": "wOEy0Ta9JEHC",
        "outputId": "63536c3d-449e-419d-b6b3-ce928f8d152b"
      },
      "source": [
        "# report on excluded events for borrows\n",
        "excluded_borrows = pd.DataFrame([\n",
        "  ['no_dates', len(no_dates[no_dates.event_type == 'Borrow'])],\n",
        "  ['no_start', len(no_start[no_start.event_type == 'Borrow'])],\n",
        "  ['no_end', len(no_end[no_end.event_type == 'Borrow'])],\n",
        "  ['partial_dates', len(partial_dates[partial_dates.event_type == 'Borrow'])],\n",
        "  ['partial_start', len(partial_start[partial_start.event_type == 'Borrow'])],\n",
        "  ['partial_end', len(partial_end[partial_end.event_type == 'Borrow'])]\n",
        "], columns=[\"label\", \"count\"])\n",
        "print('Excluded borrows')\n",
        "excluded_borrows\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Excluded borrows\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>label</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>no_dates</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>no_start</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>no_end</td>\n",
              "      <td>916</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>partial_dates</td>\n",
              "      <td>62</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>partial_start</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>partial_end</td>\n",
              "      <td>131</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           label  count\n",
              "0       no_dates      7\n",
              "1       no_start     74\n",
              "2         no_end    916\n",
              "3  partial_dates     62\n",
              "4  partial_start    100\n",
              "5    partial_end    131"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OSlWY7aKJleH"
      },
      "source": [
        "### excluded subscription events"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 255
        },
        "id": "1yRp-4OFJo1N",
        "outputId": "1d8f89e3-1d49-44c4-cf3a-1dbdf104b30c"
      },
      "source": [
        "# report on excluded events for subscriptions \n",
        "excluded_subscriptions = pd.DataFrame([\n",
        "  ['no_dates', len(no_dates[no_dates.event_type.isin(['Subscription', 'Renewal', 'Supplement'])])],\n",
        "  ['no_start', len(no_start[no_start.event_type.isin(['Subscription', 'Renewal', 'Supplement'])])],\n",
        "  ['no_end', len(no_end[no_end.event_type.isin(['Subscription', 'Renewal', 'Supplement'])])],\n",
        "  ['partial_dates', len(partial_dates[partial_dates.event_type.isin(['Subscription', 'Renewal', 'Supplement'])])],\n",
        "  ['partial_start', len(partial_start[partial_start.event_type.isin(['Subscription', 'Renewal', 'Supplement'])])],\n",
        "  ['partial_end', len(partial_end[partial_end.event_type.isin(['Subscription', 'Renewal', 'Supplement'])])]\n",
        "], columns=[\"label\", \"count\"])\n",
        "print('Excluded subscriptions')\n",
        "excluded_subscriptions"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Excluded subscriptions\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>label</th>\n",
              "      <th>count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>no_dates</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>no_start</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>no_end</td>\n",
              "      <td>636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>partial_dates</td>\n",
              "      <td>96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>partial_start</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>partial_end</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "           label  count\n",
              "0       no_dates      6\n",
              "1       no_start      0\n",
              "2         no_end    636\n",
              "3  partial_dates     96\n",
              "4  partial_start      0\n",
              "5    partial_end      1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sTECOFMAcPOe"
      },
      "source": [
        "# calculate borrowing capacity"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ecl2BUjSeYNV"
      },
      "source": [
        "## generated filtered subscription set for members with cards\n",
        "\n",
        "Members with extant cards won't filter exactly as needed, since we know there are some members with partial borrowing history, but should a useful first look at borrowing capacity"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 982
        },
        "id": "fpBg3AcFc602",
        "outputId": "c53c7ba3-0e0b-4139-f71a-4e15f4c156eb"
      },
      "source": [
        "member_subs = subscription_events.copy()\n",
        "member_subs[['first_member_uri','second_member_uri']] = member_subs.member_uris.str.split(';', expand=True)\n",
        "# handle multiple member uris (joint accounts) in subscriptions by merging on the first one (has card should be same)\n",
        "member_subs = pd.merge(left=member_subs, right=members_df, left_on=\"first_member_uri\", right_on=\"uri\")\n",
        "member_subs = member_subs[member_subs.has_card]\n",
        "member_subs\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>event_type</th>\n",
              "      <th>start_date</th>\n",
              "      <th>end_date</th>\n",
              "      <th>member_uris</th>\n",
              "      <th>member_names</th>\n",
              "      <th>member_sort_names</th>\n",
              "      <th>subscription_price_paid</th>\n",
              "      <th>subscription_deposit</th>\n",
              "      <th>subscription_duration</th>\n",
              "      <th>subscription_duration_days</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>subscription_category</th>\n",
              "      <th>subscription_purchase_date</th>\n",
              "      <th>reimbursement_refund</th>\n",
              "      <th>borrow_status</th>\n",
              "      <th>borrow_duration_days</th>\n",
              "      <th>purchase_price</th>\n",
              "      <th>currency</th>\n",
              "      <th>item_uri</th>\n",
              "      <th>item_title</th>\n",
              "      <th>item_volume</th>\n",
              "      <th>item_authors</th>\n",
              "      <th>item_year</th>\n",
              "      <th>item_notes</th>\n",
              "      <th>source_type</th>\n",
              "      <th>source_citation</th>\n",
              "      <th>source_manifest</th>\n",
              "      <th>source_image</th>\n",
              "      <th>start_datetime</th>\n",
              "      <th>end_datetime</th>\n",
              "      <th>first_member_uri</th>\n",
              "      <th>second_member_uri</th>\n",
              "      <th>uri</th>\n",
              "      <th>name</th>\n",
              "      <th>sort_name</th>\n",
              "      <th>title</th>\n",
              "      <th>gender</th>\n",
              "      <th>is_organization</th>\n",
              "      <th>has_card</th>\n",
              "      <th>birth_year</th>\n",
              "      <th>death_year</th>\n",
              "      <th>membership_years</th>\n",
              "      <th>viaf_url</th>\n",
              "      <th>wikipedia_url</th>\n",
              "      <th>nationalities</th>\n",
              "      <th>addresses</th>\n",
              "      <th>postal_codes</th>\n",
              "      <th>arrondissements</th>\n",
              "      <th>coordinates</th>\n",
              "      <th>notes</th>\n",
              "      <th>updated</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1919-12-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Claude Cahun / Mlle Lucie Schwob</td>\n",
              "      <td>Cahun, Claude</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Lending Library Card;Logbook</td>\n",
              "      <td>Sylvia Beach, Lucie Schwob Lending Library Car...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/3a...</td>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>1919-12-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Claude Cahun / Mlle Lucie Schwob</td>\n",
              "      <td>Cahun, Claude</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Nonbinary</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>1894.0</td>\n",
              "      <td>1954.0</td>\n",
              "      <td>1919</td>\n",
              "      <td>http://viaf.org/viaf/19757660</td>\n",
              "      <td>http://en.wikipedia.org/wiki/Claude_Cahun</td>\n",
              "      <td>France</td>\n",
              "      <td>Hôtel Saint Thomas D'Aquin, 3 rue du Pré aux C...</td>\n",
              "      <td>75007</td>\n",
              "      <td>7</td>\n",
              "      <td>48.85654, 2.33035</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-01-03T00:13:26+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Henri Regnier</td>\n",
              "      <td>Regnier, Henri</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.6</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Student</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/c...</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Henri Regnier</td>\n",
              "      <td>Regnier, Henri</td>\n",
              "      <td>M.</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9 rue de la Gare, Cachan</td>\n",
              "      <td>94230</td>\n",
              "      <td>NaN</td>\n",
              "      <td>48.79898, 2.32760</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-12-31T05:00:10+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Denise Ulmann</td>\n",
              "      <td>Ulmann, Denise</td>\n",
              "      <td>6.4</td>\n",
              "      <td>11.2</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>Student</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/8...</td>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>1919-12-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Denise Ulmann</td>\n",
              "      <td>Ulmann, Denise</td>\n",
              "      <td>Mlle</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>1902.0</td>\n",
              "      <td>1994.0</td>\n",
              "      <td>1919</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>France</td>\n",
              "      <td>28 place Saint-Ferdinand, Paris</td>\n",
              "      <td>75017</td>\n",
              "      <td>17</td>\n",
              "      <td>48.87824, 2.28831</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-12-31T01:29:35+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-19</td>\n",
              "      <td>1920-05-19</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Maurice Oerthel</td>\n",
              "      <td>Oerthel, Maurice</td>\n",
              "      <td>16.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6 months</td>\n",
              "      <td>182.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>AdL</td>\n",
              "      <td>1919-11-19</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/a...</td>\n",
              "      <td>1919-11-19</td>\n",
              "      <td>1920-05-19</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Maurice Oerthel</td>\n",
              "      <td>Oerthel, Maurice</td>\n",
              "      <td>M.</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920;1921;1919</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>36 rue Saint-André des Arts, Paris</td>\n",
              "      <td>75006</td>\n",
              "      <td>6</td>\n",
              "      <td>48.85344, 2.34170</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-01-03T02:32:32+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1920-05-19</td>\n",
              "      <td>1920-11-19</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Maurice Oerthel</td>\n",
              "      <td>Oerthel, Maurice</td>\n",
              "      <td>16.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6 months</td>\n",
              "      <td>184.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>AdL</td>\n",
              "      <td>1920-05-31</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/2...</td>\n",
              "      <td>1920-05-19</td>\n",
              "      <td>1920-11-19</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Maurice Oerthel</td>\n",
              "      <td>Oerthel, Maurice</td>\n",
              "      <td>M.</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920;1921;1919</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>36 rue Saint-André des Arts, Paris</td>\n",
              "      <td>75006</td>\n",
              "      <td>6</td>\n",
              "      <td>48.85344, 2.34170</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-01-03T02:32:32+00:00</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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9011</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Jean Pierret</td>\n",
              "      <td>Pierret, Jean</td>\n",
              "      <td>20.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/6...</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Jean Pierret</td>\n",
              "      <td>Pierret, Jean</td>\n",
              "      <td>M.</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>147 rue d'Alésia, Paris</td>\n",
              "      <td>75014</td>\n",
              "      <td>14</td>\n",
              "      <td>48.82993, 2.32034</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-11-19T14:47:36+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9012</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Robert Gillet</td>\n",
              "      <td>Gillet, Robert</td>\n",
              "      <td>20.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/4...</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Robert Gillet</td>\n",
              "      <td>Gillet, Robert</td>\n",
              "      <td>M.</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 rue Alphonse de Neuville, Paris</td>\n",
              "      <td>75017</td>\n",
              "      <td>17</td>\n",
              "      <td>48.88551, 2.30273</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-01-02T20:45:04+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9014</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Bernard Lestocquoy</td>\n",
              "      <td>Lestocquoy, Bernard</td>\n",
              "      <td>25.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>A</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/1...</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Bernard Lestocquoy</td>\n",
              "      <td>Lestocquoy, Bernard</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>80 rue Lauriston, Paris</td>\n",
              "      <td>75116</td>\n",
              "      <td>16</td>\n",
              "      <td>48.86765, 2.28811</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-11-19T14:47:34+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9015</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Christianne Mingalon</td>\n",
              "      <td>Mingalon, Christianne</td>\n",
              "      <td>25.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>A</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/7...</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Christianne Mingalon</td>\n",
              "      <td>Mingalon, Christianne</td>\n",
              "      <td>Mlle</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>24 rue du Renard, Paris</td>\n",
              "      <td>75004</td>\n",
              "      <td>4</td>\n",
              "      <td>48.85995, 2.35299</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-11-19T14:47:35+00:00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9016</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-12-05</td>\n",
              "      <td>1942-01-05</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Martine Lacorne</td>\n",
              "      <td>Lacorne, Martine</td>\n",
              "      <td>20.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>31.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>Other</td>\n",
              "      <td>1941-12-05</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/a...</td>\n",
              "      <td>1941-12-05</td>\n",
              "      <td>1942-01-05</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Martine Lacorne</td>\n",
              "      <td>Lacorne, Martine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941;1942</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>France</td>\n",
              "      <td>36 avenue de Joinville, Nogent-sur-Marne</td>\n",
              "      <td>94130</td>\n",
              "      <td>NaN</td>\n",
              "      <td>48.83004, 2.46756</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-11-19T14:47:33+00:00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1889 rows × 51 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        event_type  start_date  ... notes                    updated\n",
              "1     Subscription  1919-11-17  ...   NaN  2020-01-03T00:13:26+00:00\n",
              "15    Subscription  1919-11-18  ...   NaN  2019-12-31T05:00:10+00:00\n",
              "16    Subscription  1919-11-18  ...   NaN  2019-12-31T01:29:35+00:00\n",
              "18    Subscription  1919-11-19  ...   NaN  2020-01-03T02:32:32+00:00\n",
              "19         Renewal  1920-05-19  ...   NaN  2020-01-03T02:32:32+00:00\n",
              "...            ...         ...  ...   ...                        ...\n",
              "9011  Subscription  1941-11-28  ...   NaN  2019-11-19T14:47:36+00:00\n",
              "9012  Subscription  1941-11-28  ...   NaN  2020-01-02T20:45:04+00:00\n",
              "9014  Subscription  1941-11-28  ...   NaN  2019-11-19T14:47:34+00:00\n",
              "9015  Subscription  1941-11-28  ...   NaN  2019-11-19T14:47:35+00:00\n",
              "9016  Subscription  1941-12-05  ...   NaN  2019-11-19T14:47:33+00:00\n",
              "\n",
              "[1889 rows x 51 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ggKvnNyjcCl8"
      },
      "source": [
        "## calculate total books out and subscription volumes per day"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "bFra7PjN-L5a",
        "outputId": "69e06c5c-c66f-493f-86d3-0d4d2210239e"
      },
      "source": [
        "from datetime import date, timedelta\n",
        "# arbritrary end date while testing\n",
        "#end_day = date(1925, 6, 1)\n",
        "# go through end of last subscription end date\n",
        "#end_day = subs_end_date\n",
        "one_day = timedelta(days=1)\n",
        "# start with the earliest start date\n",
        "day = date_events.start_datetime.iloc[0]\n",
        "\n",
        "dates = []\n",
        "books_out = []\n",
        "subscription_vols = []\n",
        "card_subscription_vols = []\n",
        "\n",
        "while day < subs_end_date:\n",
        "    dates.append(day)\n",
        "    # get total number of borrowing events spanning this date; include start date, exclude end (to avoid double counting)\n",
        "    books_out.append(len(borrow_events[(borrow_events.start_datetime <= day) & (borrow_events.end_datetime > day)]))\n",
        "    # total number of volumes from active subscriptions for this date\n",
        "    subscription_vols.append(subscription_events[(subscription_events.start_datetime <= day) & (day < subscription_events.end_datetime)].subscription_volumes.sum())\n",
        "    # total number of volumes from subscriptions for members with extant cards\n",
        "    card_subscription_vols.append(member_subs[(member_subs.start_datetime <= day) & (day < member_subs.end_datetime)].subscription_volumes.sum())\n",
        "\n",
        "    day += one_day\n",
        "\n",
        "borrowing_df  = pd.DataFrame()\n",
        "borrowing_df['date'] = dates\n",
        "borrowing_df['books_out'] = books_out\n",
        "borrowing_df['subscription_volumes'] = subscription_vols\n",
        "borrowing_df['card_subscription_volumes'] = card_subscription_vols\n",
        "borrowing_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>date</th>\n",
              "      <th>books_out</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>card_subscription_volumes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>3</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1919-11-19</td>\n",
              "      <td>5</td>\n",
              "      <td>10.0</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1919-11-20</td>\n",
              "      <td>5</td>\n",
              "      <td>11.0</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1919-11-21</td>\n",
              "      <td>5</td>\n",
              "      <td>13.0</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8321</th>\n",
              "      <td>1942-08-29</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8322</th>\n",
              "      <td>1942-08-30</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8323</th>\n",
              "      <td>1942-08-31</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8324</th>\n",
              "      <td>1942-09-01</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8325</th>\n",
              "      <td>1942-09-02</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8326 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           date  books_out  subscription_volumes  card_subscription_volumes\n",
              "0    1919-11-17          0                   3.0                        1.0\n",
              "1    1919-11-18          3                   9.0                        4.0\n",
              "2    1919-11-19          5                  10.0                        5.0\n",
              "3    1919-11-20          5                  11.0                        5.0\n",
              "4    1919-11-21          5                  13.0                        5.0\n",
              "...         ...        ...                   ...                        ...\n",
              "8321 1942-08-29         17                   1.0                        1.0\n",
              "8322 1942-08-30         17                   1.0                        1.0\n",
              "8323 1942-08-31         17                   1.0                        1.0\n",
              "8324 1942-09-01         17                   1.0                        1.0\n",
              "8325 1942-09-02         17                   1.0                        1.0\n",
              "\n",
              "[8326 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5vjiPm22cN6p"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DfHi6wmgewgL"
      },
      "source": [
        "### chart: daily books out vs total subscription volumes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 393
        },
        "id": "WUzdLGLR-xHa",
        "outputId": "620fb480-5552-4679-81c7-ab0deed86fcf"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# get current axis so we can plot two series on the same axis\n",
        "ax = plt.gca()\n",
        "\n",
        "borrowing_df.plot(kind='line',x='date',y='books_out',ax=ax, figsize=(25,7), title='books out vs. total subscription volumes')\n",
        "borrowing_df.plot(kind='line',x='date',y='subscription_volumes', color='green', ax=ax)\n",
        "\n",
        "plt.savefig('sco_borrowing_capacity.png')\n",
        "plt.show()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pTspZp_tfMMD"
      },
      "source": [
        "### chart: daily books out vs subscription volumes for members with extant card"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "M3vVQoEZbTOx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 393
        },
        "outputId": "a8fb8333-4e76-485f-fd82-9c3f3264754f"
      },
      "source": [
        "# same plot but limited to members with extant cards (any time, includes partial cards)\n",
        "ax = plt.gca()\n",
        "borrowing_df.plot(kind='line',x='date',y='books_out',ax=ax, figsize=(25,7),\n",
        "                  title='books out vs. subscription volumes for members with extant cards')\n",
        "borrowing_df.plot(kind='line',x='date',y='card_subscription_volumes', color='green', ax=ax)\n",
        "plt.show()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6b4uc7aJLT_5"
      },
      "source": [
        "Based on this plot, we have a lot of borrowing going on beyond what the subscriptions indicate should have been allowed. Lots of friends and family borrowing? Overdue books that weren't counted against volume limits?"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MePwdwC_xJZx"
      },
      "source": [
        "## percent of available subscription volumes used (members with extant cards)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "Xl0Mmq_HxMH1",
        "outputId": "540d9e0f-d6d3-4dd6-c426-36a1c571c2a3"
      },
      "source": [
        "# calculate what percent of available subscription volumes was used (members with cards only)\n",
        "borrowing_df['pct_used'] = borrowing_df.apply(lambda x: x.books_out / x.card_subscription_volumes, axis=1)\n",
        "borrowing_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>date</th>\n",
              "      <th>books_out</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>card_subscription_volumes</th>\n",
              "      <th>pct_used</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>3</td>\n",
              "      <td>9.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1919-11-19</td>\n",
              "      <td>5</td>\n",
              "      <td>10.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1919-11-20</td>\n",
              "      <td>5</td>\n",
              "      <td>11.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1919-11-21</td>\n",
              "      <td>5</td>\n",
              "      <td>13.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8321</th>\n",
              "      <td>1942-08-29</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>17.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8322</th>\n",
              "      <td>1942-08-30</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>17.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8323</th>\n",
              "      <td>1942-08-31</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>17.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8324</th>\n",
              "      <td>1942-09-01</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>17.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8325</th>\n",
              "      <td>1942-09-02</td>\n",
              "      <td>17</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>17.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8326 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           date  books_out  ...  card_subscription_volumes  pct_used\n",
              "0    1919-11-17          0  ...                        1.0      0.00\n",
              "1    1919-11-18          3  ...                        4.0      0.75\n",
              "2    1919-11-19          5  ...                        5.0      1.00\n",
              "3    1919-11-20          5  ...                        5.0      1.00\n",
              "4    1919-11-21          5  ...                        5.0      1.00\n",
              "...         ...        ...  ...                        ...       ...\n",
              "8321 1942-08-29         17  ...                        1.0     17.00\n",
              "8322 1942-08-30         17  ...                        1.0     17.00\n",
              "8323 1942-08-31         17  ...                        1.0     17.00\n",
              "8324 1942-09-01         17  ...                        1.0     17.00\n",
              "8325 1942-09-02         17  ...                        1.0     17.00\n",
              "\n",
              "[8326 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Azy8K6zpxqQS",
        "outputId": "031dc612-1758-4f39-e892-b9f833024531"
      },
      "source": [
        "borrowing_df.pct_used.agg(['min', 'max', 'mean'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "min      0.000000\n",
              "max     26.000000\n",
              "mean     1.672456\n",
              "Name: pct_used, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "id": "EtjRfxynxxjW",
        "outputId": "10b485ed-f0f5-428c-c6e9-e7ecd41e5f17"
      },
      "source": [
        "borrowing_df.pct_used.hist(bins=25)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f9a574e2150>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SYSi6IE1v33M"
      },
      "source": [
        "# limit to borrows and subscriptions that overlap\n",
        "\n",
        "To calculate better based on partial borrowing records and borrowing without subscriptions, only consider subscriptions with at least one borrow and borrows that overlap with at least one subscription."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NIyhv_2dZN6F"
      },
      "source": [
        "## identify borrows within subscriptions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tHLKDfmfLedP",
        "outputId": "ebf51860-fa0d-490d-f55d-44544df956ad"
      },
      "source": [
        "# identify borrows that occur with/without active subscriptions\n",
        "# for each borrow event, check if there is a subscription event for the same first member uri \n",
        "# with any overlap in dates\n",
        "\n",
        "# make a copy of the dataframe so pandas won't complain about setting values on a slice\n",
        "borrow_events_df = borrow_events.copy()\n",
        "# split out multiple member uris to match on member_subs df\n",
        "borrow_events_df[['first_member_uri','second_member_uri']] = borrow_events_df.member_uris.str.split(';', expand=True)\n",
        "\n",
        "def borrow_within_sub(borrow):\n",
        "  return len(member_subs[(member_subs.first_member_uri == borrow.first_member_uri) & \n",
        "              (member_subs.start_date <= borrow.end_date) &\n",
        "              (member_subs.end_date >= borrow.start_date)])\n",
        "\n",
        "borrow_events_df['within_subscription'] = borrow_events_df.apply(borrow_within_sub, axis=1)\n",
        "borrow_events_df.within_subscription.value_counts()\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1    15568\n",
              "0     2408\n",
              "2     1709\n",
              "3       82\n",
              "4        3\n",
              "6        1\n",
              "Name: within_subscription, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 895
        },
        "id": "sKxTWdqyapGv",
        "outputId": "24471a58-2274-4dad-cb55-3afc395e9c63"
      },
      "source": [
        "# inspect results\n",
        "# borrows without subscription\n",
        "borrow_events_df[borrow_events_df.within_subscription == 0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>event_type</th>\n",
              "      <th>start_date</th>\n",
              "      <th>end_date</th>\n",
              "      <th>member_uris</th>\n",
              "      <th>member_names</th>\n",
              "      <th>member_sort_names</th>\n",
              "      <th>subscription_price_paid</th>\n",
              "      <th>subscription_deposit</th>\n",
              "      <th>subscription_duration</th>\n",
              "      <th>subscription_duration_days</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>subscription_category</th>\n",
              "      <th>subscription_purchase_date</th>\n",
              "      <th>reimbursement_refund</th>\n",
              "      <th>borrow_status</th>\n",
              "      <th>borrow_duration_days</th>\n",
              "      <th>purchase_price</th>\n",
              "      <th>currency</th>\n",
              "      <th>item_uri</th>\n",
              "      <th>item_title</th>\n",
              "      <th>item_volume</th>\n",
              "      <th>item_authors</th>\n",
              "      <th>item_year</th>\n",
              "      <th>item_notes</th>\n",
              "      <th>source_type</th>\n",
              "      <th>source_citation</th>\n",
              "      <th>source_manifest</th>\n",
              "      <th>source_image</th>\n",
              "      <th>start_datetime</th>\n",
              "      <th>end_datetime</th>\n",
              "      <th>first_member_uri</th>\n",
              "      <th>second_member_uri</th>\n",
              "      <th>within_subscription</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8075</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-01-12</td>\n",
              "      <td>1920-01-22</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Blanche Reverchon</td>\n",
              "      <td>Reverchon, Blanche</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>Returned</td>\n",
              "      <td>10.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/g...</td>\n",
              "      <td>Addresses in America, 1919</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Galsworthy, John</td>\n",
              "      <td>1919.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Blanche Reverchon Lending Librar...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/7e...</td>\n",
              "      <td>1920-01-12</td>\n",
              "      <td>1920-01-22</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8084</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-01-22</td>\n",
              "      <td>1920-03-13</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Blanche Reverchon</td>\n",
              "      <td>Reverchon, Blanche</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>Returned</td>\n",
              "      <td>51.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/d...</td>\n",
              "      <td>Sister Carrie</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Dreiser, Theodore</td>\n",
              "      <td>1900.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Blanche Reverchon Lending Librar...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/7e...</td>\n",
              "      <td>1920-01-22</td>\n",
              "      <td>1920-03-13</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8131</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-03-13</td>\n",
              "      <td>1920-04-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Blanche Reverchon</td>\n",
              "      <td>Reverchon, Blanche</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>Returned</td>\n",
              "      <td>35.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/h...</td>\n",
              "      <td>The Return of the Native</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Hardy, Thomas</td>\n",
              "      <td>1878.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Blanche Reverchon Lending Librar...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/7e...</td>\n",
              "      <td>1920-03-13</td>\n",
              "      <td>1920-04-17</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8164</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-04-13</td>\n",
              "      <td>1920-04-19</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>André Maurois</td>\n",
              "      <td>Maurois, André</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>Returned</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/d...</td>\n",
              "      <td>The Autobiography of a Super-Tramp</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Davies, W. H.</td>\n",
              "      <td>1908.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, André Maurois Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/65...</td>\n",
              "      <td>1920-04-13</td>\n",
              "      <td>1920-04-19</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8165</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-04-13</td>\n",
              "      <td>1921-04-22</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>André Maurois</td>\n",
              "      <td>Maurois, André</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>Returned</td>\n",
              "      <td>374.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/f...</td>\n",
              "      <td>Totem and Taboo</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Freud, Sigmund</td>\n",
              "      <td>1919.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, André Maurois Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/65...</td>\n",
              "      <td>1920-04-13</td>\n",
              "      <td>1921-04-22</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35019</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1961-06-30</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Henri Michaux</td>\n",
              "      <td>Michaux, Henri</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>Returned</td>\n",
              "      <td>96.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/d...</td>\n",
              "      <td>Thomas De Quincey's Works</td>\n",
              "      <td>NaN</td>\n",
              "      <td>de Quincey, Thomas</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Partial identification. At least two sets of D...</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Henri Michaux Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/5b...</td>\n",
              "      <td>1961-06-30</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35020</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1961-06-30</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Henri Michaux</td>\n",
              "      <td>Michaux, Henri</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>Returned</td>\n",
              "      <td>96.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/d...</td>\n",
              "      <td>Thomas De Quincey's Works</td>\n",
              "      <td>NaN</td>\n",
              "      <td>de Quincey, Thomas</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Partial identification. At least two sets of D...</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Henri Michaux Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/5b...</td>\n",
              "      <td>1961-06-30</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35022</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1961-06-30</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Henri Michaux</td>\n",
              "      <td>Michaux, Henri</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>Returned</td>\n",
              "      <td>96.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/d...</td>\n",
              "      <td>Thomas De Quincey's Works</td>\n",
              "      <td>NaN</td>\n",
              "      <td>de Quincey, Thomas</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Partial identification. At least two sets of D...</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Henri Michaux Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/5b...</td>\n",
              "      <td>1961-06-30</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35024</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>1962-03-21</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Ann Samyn</td>\n",
              "      <td>Samyn, Ann</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>Returned</td>\n",
              "      <td>168.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/m...</td>\n",
              "      <td>North America: Continent of Conjecture</td>\n",
              "      <td>NaN</td>\n",
              "      <td>McAlmon, Robert</td>\n",
              "      <td>1929.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mademoiselle Anne Samyn Lending ...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/9a...</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>1962-03-21</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35025</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>1962-03-21</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Ann Samyn</td>\n",
              "      <td>Samyn, Ann</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>Returned</td>\n",
              "      <td>168.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/i...</td>\n",
              "      <td>The Indefinite Huntress and Other Stories</td>\n",
              "      <td>NaN</td>\n",
              "      <td>McAlmon, Robert</td>\n",
              "      <td>1932.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mademoiselle Anne Samyn Lending ...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/9a...</td>\n",
              "      <td>1961-10-04</td>\n",
              "      <td>1962-03-21</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2408 rows × 33 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      event_type  start_date  ... second_member_uri within_subscription\n",
              "8075      Borrow  1920-01-12  ...              None                   0\n",
              "8084      Borrow  1920-01-22  ...              None                   0\n",
              "8131      Borrow  1920-03-13  ...              None                   0\n",
              "8164      Borrow  1920-04-13  ...              None                   0\n",
              "8165      Borrow  1920-04-13  ...              None                   0\n",
              "...          ...         ...  ...               ...                 ...\n",
              "35019     Borrow  1961-06-30  ...              None                   0\n",
              "35020     Borrow  1961-06-30  ...              None                   0\n",
              "35022     Borrow  1961-06-30  ...              None                   0\n",
              "35024     Borrow  1961-10-04  ...              None                   0\n",
              "35025     Borrow  1961-10-04  ...              None                   0\n",
              "\n",
              "[2408 rows x 33 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xqbR6tiIcMI8",
        "outputId": "8fbaddb0-27b9-4286-ec26-de676147b094"
      },
      "source": [
        "borrow_events_df[borrow_events_df.within_subscription == 0].member_names.value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Mlle Ottocar                                                        104\n",
              "François Valéry                                                     101\n",
              "Bravig Imbs                                                          76\n",
              "Dorothy Plummer                                                      73\n",
              "Jeanne Fournier                                                      73\n",
              "                                                                   ... \n",
              "Maurice Saur                                                          1\n",
              "Elisabeth de Roos / Mrs. du Perron;E. du Perron / Eddy du Perron      1\n",
              "Mary Sophie Ludlow                                                    1\n",
              "Horatio Robert Swasey                                                 1\n",
              "David Ponsonby                                                        1\n",
              "Name: member_names, Length: 235, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jzY-kYaNbQhB"
      },
      "source": [
        "preliminary inspection of borrows occurring outside of subscriptions \n",
        "\n",
        "- Blanch Reverchon: subs Dec 1919 - Jan 1920, but borrows continue into March and April\n",
        "- André Maurois: 3month sub Dec 1919 - March 1920; borrowing continues into March and April\n",
        "- Henri Michaux: no documented subscriptions; borrow events 1944; 1950 – 1951; 1955; 1961 (all after bookshop officiall closed)\n",
        "- Mlle Ottocar: subs 1921-1927, partial in 1929; borrow events 1920-1931\n",
        "- François Valéry: no documented subscriptions; most likely Beach let him borrow without one\n",
        "- Jeanne Fournier: subs 1925-1930; borrows 1925-1931 (likely missing subs due to missing 1930s logbooks)\n",
        "- Bravig Imbs: subs 1925, 1928; borrows 1927-1931\n",
        "- Dorothy Plummer: only one 1m sub in 1936; borrow events 1931-1937\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 861
        },
        "id": "PYWS4_FMeE8s",
        "outputId": "4b2cea67-b1e4-43bb-af98-dc16bd28d7e1"
      },
      "source": [
        "# borrows overlapping with multiple subscriptions\n",
        "borrow_events_df[borrow_events_df.within_subscription > 2]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>event_type</th>\n",
              "      <th>start_date</th>\n",
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              "      <th>borrow_duration_days</th>\n",
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              "      <th>first_member_uri</th>\n",
              "      <th>second_member_uri</th>\n",
              "      <th>within_subscription</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8367</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-11-13</td>\n",
              "      <td>1920-11-25</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mme L. Michaelides</td>\n",
              "      <td>Michaelides, Mme L.</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>Returned</td>\n",
              "      <td>12.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/a...</td>\n",
              "      <td>Collected Poems</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Æ</td>\n",
              "      <td>1920.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Madame L. Michaelides Lending Li...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/94...</td>\n",
              "      <td>1920-11-13</td>\n",
              "      <td>1920-11-25</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8412</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-12-04</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mlle Tournier</td>\n",
              "      <td>Tournier, Mlle</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>Returned</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/b...</td>\n",
              "      <td>The Human Machine</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Bennett, Arnold</td>\n",
              "      <td>1908.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mlle Tournier Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/bd...</td>\n",
              "      <td>1920-12-04</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8413</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-12-04</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mlle Tournier</td>\n",
              "      <td>Tournier, Mlle</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>Returned</td>\n",
              "      <td>5.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/j...</td>\n",
              "      <td>The Idle Thoughts of an Idle Fellow</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Jerome, Jerome K.</td>\n",
              "      <td>1886.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mlle Tournier Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/bd...</td>\n",
              "      <td>1920-12-04</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8416</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>1920-12-13</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mlle Tournier</td>\n",
              "      <td>Tournier, Mlle</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>Returned</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/m...</td>\n",
              "      <td>The Spirit of American Literature</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Macy, John Albert</td>\n",
              "      <td>1913.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mlle Tournier Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/bd...</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>1920-12-13</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8417</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>1920-12-13</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mlle Tournier</td>\n",
              "      <td>Tournier, Mlle</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>Returned</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/t...</td>\n",
              "      <td>A History of American Literature</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Trent, William P.</td>\n",
              "      <td>1903.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mlle Tournier Lending Library Ca...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/bd...</td>\n",
              "      <td>1920-12-09</td>\n",
              "      <td>1920-12-13</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33340</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1941-03-18</td>\n",
              "      <td>1941-05-15</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Bianca (Bienenfeld) Lamblin / Mlle Bianca Bien...</td>\n",
              "      <td>Lamblin, Bianca</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>Returned</td>\n",
              "      <td>58.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/h...</td>\n",
              "      <td>Death in the Afternoon</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Hemingway, Ernest</td>\n",
              "      <td>1932.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Bianca Bienenfeld Lamblin Lendin...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/c5...</td>\n",
              "      <td>1941-03-18</td>\n",
              "      <td>1941-05-15</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33343</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1941-03-18</td>\n",
              "      <td>1941-03-24</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Emory Whitridge</td>\n",
              "      <td>Whitridge, Mrs. Emory</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>Returned</td>\n",
              "      <td>6.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/c...</td>\n",
              "      <td>The Eagles Gather</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Caldwell, Taylor</td>\n",
              "      <td>1940.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Mrs. Emory Whitridge Lending Lib...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/23...</td>\n",
              "      <td>1941-03-18</td>\n",
              "      <td>1941-03-24</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33543</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1941-04-26</td>\n",
              "      <td>1941-05-29</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Fred Davaine</td>\n",
              "      <td>Davaine, Fred</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>Returned</td>\n",
              "      <td>33.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/c...</td>\n",
              "      <td>Ten Little Niggers</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Christie, Agatha</td>\n",
              "      <td>1939.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Fred Davaine Lending Library Car...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/43...</td>\n",
              "      <td>1941-04-26</td>\n",
              "      <td>1941-05-29</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33552</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1941-04-28</td>\n",
              "      <td>1941-05-29</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mme Schueller</td>\n",
              "      <td>Schueller, Mme</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>Returned</td>\n",
              "      <td>31.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/h...</td>\n",
              "      <td>South Riding: An English Landscape</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Holtby, Winifred</td>\n",
              "      <td>1936.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Juanita Schueller Lending Librar...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/3f...</td>\n",
              "      <td>1941-04-28</td>\n",
              "      <td>1941-05-29</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33551</th>\n",
              "      <td>Borrow</td>\n",
              "      <td>1941-04-28</td>\n",
              "      <td>1941-05-29</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mme Schueller</td>\n",
              "      <td>Schueller, Mme</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>Returned</td>\n",
              "      <td>31.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/books/b...</td>\n",
              "      <td>Other Gods: An American Legend</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Buck, Pearl S.</td>\n",
              "      <td>1940.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Juanita Schueller Lending Librar...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/3f...</td>\n",
              "      <td>1941-04-28</td>\n",
              "      <td>1941-05-29</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>86 rows × 33 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      event_type  start_date  ... second_member_uri within_subscription\n",
              "8367      Borrow  1920-11-13  ...              None                   3\n",
              "8412      Borrow  1920-12-04  ...              None                   3\n",
              "8413      Borrow  1920-12-04  ...              None                   3\n",
              "8416      Borrow  1920-12-09  ...              None                   3\n",
              "8417      Borrow  1920-12-09  ...              None                   3\n",
              "...          ...         ...  ...               ...                 ...\n",
              "33340     Borrow  1941-03-18  ...              None                   3\n",
              "33343     Borrow  1941-03-18  ...              None                   3\n",
              "33543     Borrow  1941-04-26  ...              None                   3\n",
              "33552     Borrow  1941-04-28  ...              None                   3\n",
              "33551     Borrow  1941-04-28  ...              None                   3\n",
              "\n",
              "[86 rows x 33 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0uiHkRhoeQyH",
        "outputId": "279f36fe-e4b3-40b5-bb6b-a22c6c0a1eca"
      },
      "source": [
        "borrow_events_df[borrow_events_df.within_subscription > 2].member_names.value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Leo Stein                                                     11\n",
              "Stanislas Pascal Franchot                                      6\n",
              "Mrs. Jackson                                                   4\n",
              "Eda Lord                                                       4\n",
              "Mlle Tournier                                                  4\n",
              "Raymonde Lamirault                                             4\n",
              "Renée Antoine-May                                              4\n",
              "Anatole Rivoallan                                              3\n",
              "Mrs. Thornton Baker                                            3\n",
              "Mme Schueller                                                  2\n",
              "Mlle Valerio                                                   2\n",
              "Adelaide W. Massey / A. W. Massey                              2\n",
              "Henri Maspero;Hélène Maspero-Clerc                             2\n",
              "E. M. Churchill                                                2\n",
              "Madeleine Rolland                                              2\n",
              "Mlle Ottocar                                                   2\n",
              "Mrs. Emory Whitridge                                           2\n",
              "Steele Savage                                                  2\n",
              "Eric Culley                                                    2\n",
              "Troise Proix                                                   2\n",
              "Fanny Rirachowsky                                              2\n",
              "Gwen Rowe-Dutton                                               2\n",
              "Fred Davaine                                                   1\n",
              "Eric Delimal                                                   1\n",
              "Madeleine Blaess                                               1\n",
              "Mary Sophie Ludlow                                             1\n",
              "André de la Forest-Divonne                                     1\n",
              "Thomas Edwards                                                 1\n",
              "Norma Faulkner                                                 1\n",
              "Marthe Lamy                                                    1\n",
              "Mme L. Michaelides                                             1\n",
              "Henry W. Wibbelz                                               1\n",
              "Paul Gerbault                                                  1\n",
              "Ada (Hitchcock) MacLeish;Archibald MacLeish                    1\n",
              "Countess de Vogué                                              1\n",
              "Pierre Denoel                                                  1\n",
              "Hélène de Wendel / Comtesse de Noailles                        1\n",
              "Miss Somerville and Miss Somerville / The Misses Somervile     1\n",
              "Bianca (Bienenfeld) Lamblin / Mlle Bianca Bienenfeld           1\n",
              "Name: member_names, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0eTPjQ3seVX_"
      },
      "source": [
        "preliminary inspection of borrows occurring overlapping with > 2 subscriptions \n",
        "\n",
        "Would expect to see this for borrows that start under one subscription and end in another AND for members who purchased a supplement\n",
        "\n",
        "- Leo Stein: supplement apr 8 - may 8 1924; 3 books borrowed May 7 would overlap with march 2 renewal, apr 8 supplement, may 18 renewal? (possible data error here: 2m 15 day renewal may 13-jul 28 overlaps with june 2 renewal)\n",
        "- Franchot: 2 overlapping supplements\n",
        "\n",
        "Some of these have odd-looking subscriptions, could be data errors in subscription dates (Eda Lord, Rivoallan), but calculation seems to be reasonable based on the data we have now"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "as3q4Oubj-WK"
      },
      "source": [
        "## annotate subscriptions with borrow count"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ScAqLNhOE5uZ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6f8b66c1-30c4-41d4-92a7-c03322a6b7b4"
      },
      "source": [
        "# identify subscriptions with at least one overlapping borrow\n",
        "# for each subscription event, count the number of borrow events for the same first member uri with any overlap in start/end dates\n",
        "\n",
        "# make a copy of the dataframe so pandas won't complain about setting values on a slice\n",
        "member_subs_df = member_subs.copy()\n",
        "\n",
        "def borrows_within_sub(sub):\n",
        "  return len(borrow_events_df[\n",
        "        (borrow_events_df.first_member_uri == sub.first_member_uri) &\n",
        "        (borrow_events_df.start_date <= sub.end_date) &\n",
        "        (borrow_events_df.end_date >= sub.start_date)])\n",
        "\n",
        "\n",
        "member_subs_df['borrow_count'] = member_subs_df.apply(borrows_within_sub, axis=1)\n",
        "member_subs_df.borrow_count.value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0      232\n",
              "3      156\n",
              "4      147\n",
              "5      136\n",
              "6      120\n",
              "      ... \n",
              "68       1\n",
              "61       1\n",
              "57       1\n",
              "54       1\n",
              "159      1\n",
              "Name: borrow_count, Length: 85, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "dyedD93-i_U0",
        "outputId": "1be1b9dc-edb1-45ee-be78-112edf31740a"
      },
      "source": [
        "# subscriptions with no borrows\n",
        "member_subs_df[member_subs_df.borrow_count == 0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>event_type</th>\n",
              "      <th>start_date</th>\n",
              "      <th>end_date</th>\n",
              "      <th>member_uris</th>\n",
              "      <th>member_names</th>\n",
              "      <th>member_sort_names</th>\n",
              "      <th>subscription_price_paid</th>\n",
              "      <th>subscription_deposit</th>\n",
              "      <th>subscription_duration</th>\n",
              "      <th>subscription_duration_days</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>subscription_category</th>\n",
              "      <th>subscription_purchase_date</th>\n",
              "      <th>reimbursement_refund</th>\n",
              "      <th>borrow_status</th>\n",
              "      <th>borrow_duration_days</th>\n",
              "      <th>purchase_price</th>\n",
              "      <th>currency</th>\n",
              "      <th>item_uri</th>\n",
              "      <th>item_title</th>\n",
              "      <th>item_volume</th>\n",
              "      <th>item_authors</th>\n",
              "      <th>item_year</th>\n",
              "      <th>item_notes</th>\n",
              "      <th>source_type</th>\n",
              "      <th>source_citation</th>\n",
              "      <th>source_manifest</th>\n",
              "      <th>source_image</th>\n",
              "      <th>start_datetime</th>\n",
              "      <th>end_datetime</th>\n",
              "      <th>first_member_uri</th>\n",
              "      <th>second_member_uri</th>\n",
              "      <th>uri</th>\n",
              "      <th>name</th>\n",
              "      <th>sort_name</th>\n",
              "      <th>title</th>\n",
              "      <th>gender</th>\n",
              "      <th>is_organization</th>\n",
              "      <th>has_card</th>\n",
              "      <th>birth_year</th>\n",
              "      <th>death_year</th>\n",
              "      <th>membership_years</th>\n",
              "      <th>viaf_url</th>\n",
              "      <th>wikipedia_url</th>\n",
              "      <th>nationalities</th>\n",
              "      <th>addresses</th>\n",
              "      <th>postal_codes</th>\n",
              "      <th>arrondissements</th>\n",
              "      <th>coordinates</th>\n",
              "      <th>notes</th>\n",
              "      <th>updated</th>\n",
              "      <th>borrow_count</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-22</td>\n",
              "      <td>1920-11-22</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marie Boscq / Bosq</td>\n",
              "      <td>Boscq, Marie</td>\n",
              "      <td>28.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>1 year</td>\n",
              "      <td>366.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-22</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-22</td>\n",
              "      <td>1920-11-22</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marie Boscq / Bosq</td>\n",
              "      <td>Boscq, Marie</td>\n",
              "      <td>Mlle</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920;1921;1922;1932;1933;1934;1939;1940;1941;1...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2 rue Crébillon, Paris</td>\n",
              "      <td>75006</td>\n",
              "      <td>6</td>\n",
              "      <td>48.85025, 2.33820</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-06T21:44:22+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1920-12-31</td>\n",
              "      <td>1921-06-30</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marie Boscq / Bosq</td>\n",
              "      <td>Boscq, Marie</td>\n",
              "      <td>28.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6 months</td>\n",
              "      <td>181.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920-12-31</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920-12-31</td>\n",
              "      <td>1921-06-30</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marie Boscq / Bosq</td>\n",
              "      <td>Boscq, Marie</td>\n",
              "      <td>Mlle</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920;1921;1922;1932;1933;1934;1939;1940;1941;1...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2 rue Crébillon, Paris</td>\n",
              "      <td>75006</td>\n",
              "      <td>6</td>\n",
              "      <td>48.85025, 2.33820</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-06T21:44:22+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1921-08-25</td>\n",
              "      <td>1922-02-25</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marie Boscq / Bosq</td>\n",
              "      <td>Boscq, Marie</td>\n",
              "      <td>35.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6 months</td>\n",
              "      <td>184.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1921-08-25</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1921-08-25</td>\n",
              "      <td>1922-02-25</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Marie Boscq / Bosq</td>\n",
              "      <td>Boscq, Marie</td>\n",
              "      <td>Mlle</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920;1921;1922;1932;1933;1934;1939;1940;1941;1...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2 rue Crébillon, Paris</td>\n",
              "      <td>75006</td>\n",
              "      <td>6</td>\n",
              "      <td>48.85025, 2.33820</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2021-01-06T21:44:22+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1919-11-24</td>\n",
              "      <td>1920-05-24</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Bernheim</td>\n",
              "      <td>Bernheim, Mrs.</td>\n",
              "      <td>16.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>6 months</td>\n",
              "      <td>182.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>AdL</td>\n",
              "      <td>1919-11-24</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1919-11-24</td>\n",
              "      <td>1920-05-24</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Bernheim</td>\n",
              "      <td>Bernheim, Mrs.</td>\n",
              "      <td>Mrs.</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920;1921;1922;1923;1924;1925;1926;1927;1928;1...</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>2020-01-03T00:56:57+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>Renewal</td>\n",
              "      <td>1921-02-18</td>\n",
              "      <td>1921-05-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Bernheim</td>\n",
              "      <td>Bernheim, Mrs.</td>\n",
              "      <td>16.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3 months</td>\n",
              "      <td>89.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>AdL</td>\n",
              "      <td>1921-02-18</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1921-02-18</td>\n",
              "      <td>1921-05-18</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Bernheim</td>\n",
              "      <td>Bernheim, Mrs.</td>\n",
              "      <td>Mrs.</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1920;1921;1922;1923;1924;1925;1926;1927;1928;1...</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>2020-01-03T00:56:57+00:00</td>\n",
              "      <td>0</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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8473</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1940-02-02</td>\n",
              "      <td>1940-03-02</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Quennell</td>\n",
              "      <td>Quennell, Mrs.</td>\n",
              "      <td>45.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>1 month</td>\n",
              "      <td>29.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>B</td>\n",
              "      <td>1940-02-02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/0...</td>\n",
              "      <td>1940-02-02</td>\n",
              "      <td>1940-03-02</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Mrs. Quennell</td>\n",
              "      <td>Quennell, Mrs.</td>\n",
              "      <td>Mrs.</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1940</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>51 avenue Marceau, Paris</td>\n",
              "      <td>75116</td>\n",
              "      <td>16</td>\n",
              "      <td>48.86931, 2.29803</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-01-03T20:29:50+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8640</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1940-09-30</td>\n",
              "      <td>1940-10-30</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Simone Abreu / Mme Simone de Bretteville</td>\n",
              "      <td>de Bretteville, Simone</td>\n",
              "      <td>25.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1940-09-30</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Simone de Bretteville Lending Li...</td>\n",
              "      <td>https://figgy.princeton.edu/concern/scanned_re...</td>\n",
              "      <td>https://iiif.princeton.edu/loris/figgy_prod/99...</td>\n",
              "      <td>1940-09-30</td>\n",
              "      <td>1940-10-30</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Simone Abreu / Mme Simone de Bretteville</td>\n",
              "      <td>de Bretteville, Simone</td>\n",
              "      <td>Mme</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>1896.0</td>\n",
              "      <td>1988.0</td>\n",
              "      <td>1940;1941</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>France</td>\n",
              "      <td>87 avenue de Wagram, Paris</td>\n",
              "      <td>75017</td>\n",
              "      <td>17</td>\n",
              "      <td>48.88095, 2.29972</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-01-02T22:48:46+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8911</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-12-02</td>\n",
              "      <td>1942-01-02</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Odile Brull</td>\n",
              "      <td>Brull, Odile</td>\n",
              "      <td>20.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>31.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941-12-02</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941-12-02</td>\n",
              "      <td>1942-01-02</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Odile Brull</td>\n",
              "      <td>Brull, Odile</td>\n",
              "      <td>Mme</td>\n",
              "      <td>Female</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941;1942</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 rue Neuve, Versailles</td>\n",
              "      <td>78000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>48.80891, 2.12545</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2020-11-11T20:05:08+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8993</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-10-30</td>\n",
              "      <td>1941-11-30</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Jean Roy</td>\n",
              "      <td>Roy, Jean</td>\n",
              "      <td>20.0</td>\n",
              "      <td>50.0</td>\n",
              "      <td>1 month</td>\n",
              "      <td>31.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941-10-30</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/a...</td>\n",
              "      <td>1941-10-30</td>\n",
              "      <td>1941-11-30</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Jean Roy</td>\n",
              "      <td>Roy, Jean</td>\n",
              "      <td>M.</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>102 rue Charles Laffitte, Neuilly-sur-Seine</td>\n",
              "      <td>92200</td>\n",
              "      <td>NaN</td>\n",
              "      <td>48.88063, 2.26340</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-12-31T03:37:09+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9014</th>\n",
              "      <td>Subscription</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Bernard Lestocquoy</td>\n",
              "      <td>Lestocquoy, Bernard</td>\n",
              "      <td>25.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1 month</td>\n",
              "      <td>30.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>A</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>FRF</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>Logbook;Lending Library Card</td>\n",
              "      <td>Sylvia Beach, Logbooks 1919–1941, Sylvia Beach...</td>\n",
              "      <td>;https://figgy.princeton.edu/concern/scanned_r...</td>\n",
              "      <td>;https://iiif.princeton.edu/loris/figgy_prod/1...</td>\n",
              "      <td>1941-11-28</td>\n",
              "      <td>1941-12-28</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>None</td>\n",
              "      <td>https://shakespeareandco.princeton.edu/members...</td>\n",
              "      <td>Bernard Lestocquoy</td>\n",
              "      <td>Lestocquoy, Bernard</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Male</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1941</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>80 rue Lauriston, Paris</td>\n",
              "      <td>75116</td>\n",
              "      <td>16</td>\n",
              "      <td>48.86765, 2.28811</td>\n",
              "      <td>NaN</td>\n",
              "      <td>2019-11-19T14:47:34+00:00</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>232 rows × 52 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        event_type  start_date  ...                    updated borrow_count\n",
              "26    Subscription  1919-11-22  ...  2021-01-06T21:44:22+00:00            0\n",
              "27    Subscription  1920-12-31  ...  2021-01-06T21:44:22+00:00            0\n",
              "28         Renewal  1921-08-25  ...  2021-01-06T21:44:22+00:00            0\n",
              "36    Subscription  1919-11-24  ...  2020-01-03T00:56:57+00:00            0\n",
              "37         Renewal  1921-02-18  ...  2020-01-03T00:56:57+00:00            0\n",
              "...            ...         ...  ...                        ...          ...\n",
              "8473  Subscription  1940-02-02  ...  2020-01-03T20:29:50+00:00            0\n",
              "8640  Subscription  1940-09-30  ...  2020-01-02T22:48:46+00:00            0\n",
              "8911  Subscription  1941-12-02  ...  2020-11-11T20:05:08+00:00            0\n",
              "8993  Subscription  1941-10-30  ...  2019-12-31T03:37:09+00:00            0\n",
              "9014  Subscription  1941-11-28  ...  2019-11-19T14:47:34+00:00            0\n",
              "\n",
              "[232 rows x 52 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ns6eEi33jJi5"
      },
      "source": [
        "Preliminary inspection of subscriptions with no borrows — calculation looks reasonable\n",
        "\n",
        "- Marie Boscq: subs in 1920-21 but borrowing not documented until 1932\n",
        "- Mrs. Berheim: similar: no borrowing records for early subscriptiosn (1920s)\n",
        "- Mrs. Quennell: 1m sub in 1940; 1 borrow in 1940 with no end date "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TvwUzyhFgAZc"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4F6LZoa1kOs8"
      },
      "source": [
        "## calculate daily books out vs subscription volumes for overlapping borrows/subscriptions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "nABpJsqLkNsQ",
        "outputId": "2d396a91-9f75-4741-c7c3-004613fbff86"
      },
      "source": [
        "# repeat the same plot but limited to borrows and subscriptions that overlap\n",
        "\n",
        "# subscription events with at least one borrow\n",
        "subs_with_borrows = member_subs_df[member_subs_df.borrow_count != 0] \n",
        "# borrows that overlap with a subscription\n",
        "borrows_within_subs = borrow_events_df[borrow_events_df.within_subscription != 0]\n",
        "\n",
        "# adapt previous code rerun with the filtered events \n",
        "# go through end of last subscription end date\n",
        "one_day = timedelta(days=1)\n",
        "# start with the earliest start date\n",
        "day = date_events.start_datetime.iloc[0]\n",
        "\n",
        "overlap_dates = []\n",
        "overlap_books_out = []\n",
        "overlap_subscription_vols = []\n",
        "\n",
        "while day < subs_end_date:\n",
        "     overlap_dates.append(day)\n",
        "     # get total number of borrowing events (within subscriptions) spanning this date; include start date, exclude end (to avoid double counting)\n",
        "     overlap_books_out.append(len(borrows_within_subs[(borrows_within_subs.start_datetime <= day) & (borrows_within_subs.end_datetime > day)]))\n",
        "     # total number of volumes from active subscriptions (with borrows) for this date\n",
        "     overlap_subscription_vols.append(subs_with_borrows[(subs_with_borrows.start_datetime <= day) & (day < subs_with_borrows.end_datetime)].subscription_volumes.sum())\n",
        "\n",
        "     day += one_day\n",
        "\n",
        "overlap_borrowing_df  = pd.DataFrame()\n",
        "overlap_borrowing_df['date'] = overlap_dates\n",
        "overlap_borrowing_df['books_out'] = overlap_books_out\n",
        "overlap_borrowing_df['subscription_volumes'] = overlap_subscription_vols\n",
        "overlap_borrowing_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\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>date</th>\n",
              "      <th>books_out</th>\n",
              "      <th>subscription_volumes</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>3</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1919-11-19</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1919-11-20</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1919-11-21</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8321</th>\n",
              "      <td>1942-08-29</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8322</th>\n",
              "      <td>1942-08-30</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8323</th>\n",
              "      <td>1942-08-31</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8324</th>\n",
              "      <td>1942-09-01</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8325</th>\n",
              "      <td>1942-09-02</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8326 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           date  books_out  subscription_volumes\n",
              "0    1919-11-17          0                   1.0\n",
              "1    1919-11-18          3                   4.0\n",
              "2    1919-11-19          5                   5.0\n",
              "3    1919-11-20          5                   5.0\n",
              "4    1919-11-21          5                   5.0\n",
              "...         ...        ...                   ...\n",
              "8321 1942-08-29          2                   1.0\n",
              "8322 1942-08-30          2                   1.0\n",
              "8323 1942-08-31          2                   1.0\n",
              "8324 1942-09-01          2                   1.0\n",
              "8325 1942-09-02          2                   1.0\n",
              "\n",
              "[8326 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U8Ni0Vr9vj-C"
      },
      "source": [
        "### chart: borrows vs subscription volumes"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 393
        },
        "id": "qk_BYyBDk354",
        "outputId": "ade4c174-ff03-43ac-a722-50d69823542b"
      },
      "source": [
        "ax = plt.gca()\n",
        "overlap_borrowing_df.plot(kind='line',x='date',y='books_out',ax=ax, figsize=(25,7),\n",
        "                   title='books out vs. subscription volumes for overlapping borrows/subscriptions')\n",
        "overlap_borrowing_df.plot(kind='line',x='date',y='subscription_volumes', color='green', ax=ax)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 1800x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YP7r0ldOyIES"
      },
      "source": [
        "In this version of the graph, the books out and subscription volumes track each other much more closely through the early 1930s. Still not sure what is going on after 1935! I thought limiting to overlapping subscriptions and borrows would make this clearer. Are there data errors? Did I not limit things the way I thought? Did Beach get more lax in enforcing subscription limits? Could including long checkouts be skewing the results?\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_9GKd8ddw2e0"
      },
      "source": [
        "## percent of available subscription volumes used"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Obqo2-dsgA9f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "outputId": "a92e898b-2a47-42d5-e6a3-668ccf37be33"
      },
      "source": [
        "# calculate what percent of available subscription volumes was used\n",
        "overlap_borrowing_df['pct_used'] = overlap_borrowing_df.apply(lambda x: x.books_out / x.subscription_volumes, axis=1)\n",
        "overlap_borrowing_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<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>date</th>\n",
              "      <th>books_out</th>\n",
              "      <th>subscription_volumes</th>\n",
              "      <th>pct_used</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1919-11-17</td>\n",
              "      <td>0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1919-11-18</td>\n",
              "      <td>3</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.75</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1919-11-19</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1919-11-20</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1919-11-21</td>\n",
              "      <td>5</td>\n",
              "      <td>5.0</td>\n",
              "      <td>1.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8321</th>\n",
              "      <td>1942-08-29</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8322</th>\n",
              "      <td>1942-08-30</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8323</th>\n",
              "      <td>1942-08-31</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8324</th>\n",
              "      <td>1942-09-01</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8325</th>\n",
              "      <td>1942-09-02</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>2.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8326 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           date  books_out  subscription_volumes  pct_used\n",
              "0    1919-11-17          0                   1.0      0.00\n",
              "1    1919-11-18          3                   4.0      0.75\n",
              "2    1919-11-19          5                   5.0      1.00\n",
              "3    1919-11-20          5                   5.0      1.00\n",
              "4    1919-11-21          5                   5.0      1.00\n",
              "...         ...        ...                   ...       ...\n",
              "8321 1942-08-29          2                   1.0      2.00\n",
              "8322 1942-08-30          2                   1.0      2.00\n",
              "8323 1942-08-31          2                   1.0      2.00\n",
              "8324 1942-09-01          2                   1.0      2.00\n",
              "8325 1942-09-02          2                   1.0      2.00\n",
              "\n",
              "[8326 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-hMkNyacwv7O",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a83522d3-68d1-4f77-b11e-df6e6ade00a1"
      },
      "source": [
        "overlap_borrowing_df.pct_used.agg(['min', 'max', 'mean'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "min     0.000000\n",
              "max     4.266667\n",
              "mean    1.373188\n",
              "Name: pct_used, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DHABDfUJgyBg",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "outputId": "d427d69d-a689-4652-f0a3-da1cc70e0485"
      },
      "source": [
        "overlap_borrowing_df.pct_used.hist(bins=25)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f9a59400f90>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7Gd2Tn680gu2"
      },
      "source": [
        "# preliminary conclusion\n",
        "\n",
        "Using the known subscription volumes as a **minimum** for likely book activity seems reasonable. Available evidence suggests there was _more_ borrowing going on than that, at least in the later years."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LOWO4JAWg3Rx"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}