{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b16c5a59",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:06:50.890404Z",
     "start_time": "2023-11-11T17:06:46.978101Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy import stats\n",
    "import sweetviz\n",
    "import folium\n",
    "import geopandas\n",
    "from geopy.distance import geodesic\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8f50b52d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:08:00.495157Z",
     "start_time": "2023-11-11T17:07:36.704491Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5733451, 13)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('../../../Desktop/SamX/Bike_Study_Files/big_raw.csv')\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "10b9af74",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:08:28.280332Z",
     "start_time": "2023-11-11T17:08:00.498051Z"
    }
   },
   "outputs": [
    {
     "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>ride_id</th>\n",
       "      <th>rideable_type</th>\n",
       "      <th>member_casual</th>\n",
       "      <th>started_at</th>\n",
       "      <th>ended_at</th>\n",
       "      <th>ride_duration</th>\n",
       "      <th>start_date</th>\n",
       "      <th>start_hour</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>week_of_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>46F8167220E4431F</td>\n",
       "      <td>electric_bike</td>\n",
       "      <td>member</td>\n",
       "      <td>2021-12-07 15:06:07</td>\n",
       "      <td>2021-12-07 15:13:42</td>\n",
       "      <td>7.583333</td>\n",
       "      <td>2021-12-07</td>\n",
       "      <td>15</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>73A77762838B32FD</td>\n",
       "      <td>electric_bike</td>\n",
       "      <td>casual</td>\n",
       "      <td>2021-12-11 03:43:29</td>\n",
       "      <td>2021-12-11 04:10:23</td>\n",
       "      <td>26.900000</td>\n",
       "      <td>2021-12-11</td>\n",
       "      <td>3</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4CF42452054F59C5</td>\n",
       "      <td>electric_bike</td>\n",
       "      <td>member</td>\n",
       "      <td>2021-12-15 23:10:28</td>\n",
       "      <td>2021-12-15 23:23:14</td>\n",
       "      <td>12.766667</td>\n",
       "      <td>2021-12-15</td>\n",
       "      <td>23</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3278BA87BF698339</td>\n",
       "      <td>classic_bike</td>\n",
       "      <td>member</td>\n",
       "      <td>2021-12-26 16:16:10</td>\n",
       "      <td>2021-12-26 16:30:53</td>\n",
       "      <td>14.716667</td>\n",
       "      <td>2021-12-26</td>\n",
       "      <td>16</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6FF54232576A3B73</td>\n",
       "      <td>electric_bike</td>\n",
       "      <td>member</td>\n",
       "      <td>2021-12-30 11:31:05</td>\n",
       "      <td>2021-12-30 11:51:21</td>\n",
       "      <td>20.266667</td>\n",
       "      <td>2021-12-30</td>\n",
       "      <td>11</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ride_id  rideable_type member_casual          started_at  \\\n",
       "0  46F8167220E4431F  electric_bike        member 2021-12-07 15:06:07   \n",
       "1  73A77762838B32FD  electric_bike        casual 2021-12-11 03:43:29   \n",
       "2  4CF42452054F59C5  electric_bike        member 2021-12-15 23:10:28   \n",
       "3  3278BA87BF698339   classic_bike        member 2021-12-26 16:16:10   \n",
       "4  6FF54232576A3B73  electric_bike        member 2021-12-30 11:31:05   \n",
       "\n",
       "             ended_at  ride_duration  start_date  start_hour day_of_week  \\\n",
       "0 2021-12-07 15:13:42       7.583333  2021-12-07          15     Tuesday   \n",
       "1 2021-12-11 04:10:23      26.900000  2021-12-11           3    Saturday   \n",
       "2 2021-12-15 23:23:14      12.766667  2021-12-15          23   Wednesday   \n",
       "3 2021-12-26 16:30:53      14.716667  2021-12-26          16      Sunday   \n",
       "4 2021-12-30 11:51:21      20.266667  2021-12-30          11    Thursday   \n",
       "\n",
       "   week_of_year  \n",
       "0            49  \n",
       "1            49  \n",
       "2            50  \n",
       "3            51  \n",
       "4            52  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert 'started_at' and 'ended_at' to datetime objects\n",
    "data['started_at'] = pd.to_datetime(data['started_at'])\n",
    "data['ended_at'] = pd.to_datetime(data['ended_at'])\n",
    "\n",
    "# Calculate ride duration in minutes\n",
    "data['ride_duration'] = (data['ended_at'] - data['started_at']).dt.total_seconds() / 60\n",
    "\n",
    "# Additional columns for temporal analysis\n",
    "data['start_date'] = data['started_at'].dt.date\n",
    "data['start_hour'] = data['started_at'].dt.hour\n",
    "data['day_of_week'] = data['started_at'].dt.day_name()\n",
    "data['week_of_year'] = data['started_at'].dt.isocalendar().week\n",
    "\n",
    "# Preview the data with new columns\n",
    "data[['ride_id', 'rideable_type', 'member_casual', 'started_at', 'ended_at', 'ride_duration', 'start_date', 'start_hour', 'day_of_week', 'week_of_year']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "07b96736",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:08:29.073295Z",
     "start_time": "2023-11-11T17:08:28.283892Z"
    }
   },
   "outputs": [],
   "source": [
    "data1 = data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2eecc8dd",
   "metadata": {},
   "source": [
    "#### Note:\n",
    "For the purposes of this analysis, I do not need to be crunching through all 5 million rows of data. A sample of 50,000 is more than enough, and possibly too much for the heatmapping functions. I may need to tweak the parameters of the heatmap, or further restrict the sample size later down the road"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "75b6b8f7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:08:29.740586Z",
     "start_time": "2023-11-11T17:08:29.076263Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(50000, 18)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data1.sample(n=50000, replace=False, random_state=42)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c10c021b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T15:48:13.049664Z",
     "start_time": "2023-11-11T15:48:13.036581Z"
    }
   },
   "outputs": [],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8dd36f3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T15:52:32.017791Z",
     "start_time": "2023-11-11T15:52:31.991505Z"
    }
   },
   "outputs": [],
   "source": [
    "data.rideable_type.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "df8b9d0e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T15:56:52.651927Z",
     "start_time": "2023-11-11T15:56:52.601771Z"
    }
   },
   "outputs": [],
   "source": [
    "data2 = data[data.rideable_type != 'docked_bike']\n",
    "data2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c97af882",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d24a86dc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c93fe59",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T16:19:52.493217Z",
     "start_time": "2023-11-11T16:19:52.001274Z"
    }
   },
   "outputs": [],
   "source": [
    "custom_colors = {'electric_bike': '#20639b', 'classic_bike': '#fdb863'}\n",
    "\n",
    "\n",
    "# Basic statistics for ride duration for each user type and rideable type\n",
    "duration_stats = data2.groupby(['member_casual', 'rideable_type']).ride_duration.agg(['mean', 'median', 'count']).reset_index()\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "# Ride counts by user type and rideable type\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.countplot(data=data2, x='member_casual', hue='rideable_type', palette=custom_colors)\n",
    "plt.title('Ride Counts by User Type and Rideable Type')\n",
    "plt.xlabel('User Type')\n",
    "plt.ylabel('Ride Count')\n",
    "plt.legend(title='Rideable Type', labels=['Electric Bike', 'Classic Bike'])\n",
    "\n",
    "\n",
    "# Average ride duration by user type and rideable type\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.barplot(data=duration_stats, x='member_casual', y='mean', hue='rideable_type', palette=custom_colors)\n",
    "plt.title('Average Ride Duration by User Type and Rideable Type')\n",
    "plt.xlabel('User Type')\n",
    "plt.ylabel('Average Duration (minutes)')\n",
    "#plt.legend(title='Rideable Type', labels=['Electric Bike', 'Classic Bike'])\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "duration_stats\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f7ed2bd",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T16:03:15.857325Z",
     "start_time": "2023-11-11T16:03:15.849310Z"
    }
   },
   "outputs": [],
   "source": [
    "duration_stats.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c5c88c6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T16:04:04.922596Z",
     "start_time": "2023-11-11T16:04:04.908479Z"
    }
   },
   "outputs": [],
   "source": [
    "11135/(11135+7896)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09857c44",
   "metadata": {},
   "source": [
    "## Distribution of rides through the year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2aeba60d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:08:39.892542Z",
     "start_time": "2023-11-11T17:08:39.876382Z"
    }
   },
   "outputs": [],
   "source": [
    "df = data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a5c4699b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:09:33.086276Z",
     "start_time": "2023-11-11T17:08:40.268000Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2346876, 18)\n",
      "(3386575, 18)\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['started_at'].hist(bins=12)\n",
    "\n",
    "sns.histplot(df['started_at'], bins=12, kde=False, color='#636348')\n",
    "\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Rentals\")\n",
    "plt.title(\"Bike Rentals by Month\")\n",
    "plt.show()\n",
    "\n",
    "\n",
    "grouped = df.groupby(df['member_casual'])\n",
    "\n",
    "casual = grouped.get_group('casual')\n",
    "members = grouped.get_group('member')\n",
    "\n",
    "print(casual.shape)\n",
    "print(members.shape)\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(15,5))\n",
    "\n",
    "sns.histplot(members['started_at'], bins=12, kde=False, color='#a76046', ax=ax[0])\n",
    "ax[0].set_title('Member Rentals by Month')\n",
    "\n",
    "sns.histplot(casual['started_at'], bins=12, kde=False, color='#e0caa9', ax=ax[1])\n",
    "ax[1].set_title('Casual Rentals by Month')\n",
    "\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Rentals\")\n",
    "#plt.title(\"Bike Rentals by Month\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7b5572a7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:10:06.043654Z",
     "start_time": "2023-11-11T17:10:04.242028Z"
    }
   },
   "outputs": [],
   "source": [
    "casual_months = casual['started_at'].dt.month_name()\n",
    "member_months = members['started_at'].dt.month_name()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ce084ae0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:10:07.303037Z",
     "start_time": "2023-11-11T17:10:06.045903Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c_months = casual_months.value_counts()\n",
    "m_months = member_months.value_counts()\n",
    "\n",
    "month_order = ['January', 'February', 'March', 'April', 'May', 'June', \n",
    "             'July', 'August', 'September', 'October', 'November', 'December']\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15,5))\n",
    "\n",
    "sns.barplot(x=m_months.index, y=m_months.values, color='#a76046', order=month_order, ax=axes[0])\n",
    "axes[0].set_title('Member Rentals')\n",
    "axes[0].set_xticklabels(axes[0].get_xticklabels(), rotation=45)  # Rotate x-axis labels for the first subplot\n",
    "\n",
    "\n",
    "sns.barplot(x=c_months.index, y=c_months.values, order=month_order, color='#e0caa9', ax=axes[1])\n",
    "axes[1].set_title('Casual Rentals')\n",
    "\n",
    "#plt.xlabel(\"Day of the Week\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f70b1c88",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:11:00.097060Z",
     "start_time": "2023-11-11T17:10:57.753868Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(823488, 18)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "july = data1[data1['started_at'].dt.month_name() == 'July']\n",
    "july.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0092a69f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:11:02.303774Z",
     "start_time": "2023-11-11T17:11:00.099638Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103770, 18)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jan = data1[data1['started_at'].dt.month_name() == 'January']\n",
    "jan.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "872d26e5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "802fc183",
   "metadata": {},
   "source": [
    "## Distribution of rides through the week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14a2a8fb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T16:57:21.419834Z",
     "start_time": "2023-11-11T16:57:20.828059Z"
    }
   },
   "outputs": [],
   "source": [
    "casual_days = casual['started_at'].dt.day_name()\n",
    "member_days = members['started_at'].dt.day_name()\n",
    "\n",
    "c_days = casual_days.value_counts()\n",
    "m_days = member_days.value_counts()\n",
    "\n",
    "day_order = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15,5))\n",
    "\n",
    "sns.barplot(x=m_days.index, y=m_days.values, color='#a76046', order=day_order, ax=axes[0])\n",
    "axes[0].set_title('Member Rentals')\n",
    "axes[0].set_xticklabels(axes[0].get_xticklabels(), rotation=45)  # Rotate x-axis labels for the first subplot\n",
    "\n",
    "\n",
    "sns.barplot(x=c_days.index, y=c_days.values, order=day_order, color='#e0caa9', ax=axes[1])\n",
    "axes[1].set_title('Casual Rentals')\n",
    "\n",
    "#plt.xlabel(\"Day of the Week\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "608a5b04",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T16:57:27.806013Z",
     "start_time": "2023-11-11T16:57:27.517096Z"
    }
   },
   "outputs": [],
   "source": [
    "all_days = df['started_at'].dt.day_name().value_counts()\n",
    "\n",
    "day_order = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']\n",
    "\n",
    "sns.barplot(x=all_days.index, y=all_days.values, color='#636348', order=day_order)\n",
    "\n",
    "plt.title('All Rentals')\n",
    "#plt.xlabel(\"Day of the Week\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d147a681",
   "metadata": {},
   "source": [
    "Just July..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0a3871fe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:12:57.610252Z",
     "start_time": "2023-11-11T17:12:56.935552Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_days = july['started_at'].dt.day_name().value_counts()\n",
    "\n",
    "day_order = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']\n",
    "\n",
    "sns.barplot(x=all_days.index, y=all_days.values, color='#fdb863', order=day_order)\n",
    "\n",
    "plt.title('All Rentals: July')\n",
    "#plt.xlabel(\"Day of the Week\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b08319e",
   "metadata": {},
   "source": [
    "Just January..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b7e20351",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-11T17:25:07.137110Z",
     "start_time": "2023-11-11T17:25:06.863158Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_days = jan['started_at'].dt.day_name().value_counts()\n",
    "\n",
    "day_order = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']\n",
    "\n",
    "sns.barplot(x=all_days.index, y=all_days.values, color='#90b6da', order=day_order)\n",
    "\n",
    "plt.title('All Rentals: January')\n",
    "#plt.xlabel(\"Day of the Week\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "# Get the current maximum y-value and set new y-limits\n",
    "current_max_y = all_days.max()\n",
    "plt.ylim(0, current_max_y * 10)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98d1d2ab",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}