diff --git a/Lab queries 9.sql b/Lab queries 9.sql
new file mode 100644
index 0000000..e8fac3b
--- /dev/null
+++ b/Lab queries 9.sql	
@@ -0,0 +1,33 @@
+select * 
+from sakila.rental;
+
+create table sakila.rentals_may like sakila.rental;
+
+insert into sakila.rentals_may 
+select * 
+from sakila.rental
+where month(rental_date) = 5;
+
+select * 
+from sakila.rentals_may;
+
+create table sakila.rentals_june like sakila.rental;
+insert into sakila.rentals_june 
+select * from sakila.rental
+where month(rental_date) = 6;
+select * from sakila.rentals_june;
+
+
+select customer_id, count(rental_id) as number_rentals
+from sakila.rentals_may
+group by customer_id
+order by customer_id;
+
+
+select customer_id, count(rental_id) as number_rentals
+from sakila.rentals_june
+group by customer_id
+order by customer_id;
+
+
+
diff --git a/[lab-queries-9] Bruno.ipynb b/[lab-queries-9] Bruno.ipynb
new file mode 100644
index 0000000..ddb4162
--- /dev/null
+++ b/[lab-queries-9] Bruno.ipynb	
@@ -0,0 +1,1090 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7d83bb9e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "bd7d1a0f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "········\n"
+     ]
+    }
+   ],
+   "source": [
+    "import getpass\n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "6a5d5ab7",
+   "metadata": {},
+   "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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2005-05-24 22:53:30</td>\n",
+       "      <td>367</td>\n",
+       "      <td>130</td>\n",
+       "      <td>2005-05-26 22:04:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2005-05-24 22:54:33</td>\n",
+       "      <td>1525</td>\n",
+       "      <td>459</td>\n",
+       "      <td>2005-05-28 19:40:33</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2005-05-24 23:03:39</td>\n",
+       "      <td>1711</td>\n",
+       "      <td>408</td>\n",
+       "      <td>2005-06-01 22:12:39</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2005-05-24 23:04:41</td>\n",
+       "      <td>2452</td>\n",
+       "      <td>333</td>\n",
+       "      <td>2005-06-03 01:43:41</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2005-05-24 23:05:21</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>222</td>\n",
+       "      <td>2005-06-02 04:33:21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16039</th>\n",
+       "      <td>16045</td>\n",
+       "      <td>2005-08-23 22:25:26</td>\n",
+       "      <td>772</td>\n",
+       "      <td>14</td>\n",
+       "      <td>2005-08-25 23:54:26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16040</th>\n",
+       "      <td>16046</td>\n",
+       "      <td>2005-08-23 22:26:47</td>\n",
+       "      <td>4364</td>\n",
+       "      <td>74</td>\n",
+       "      <td>2005-08-27 18:02:47</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16041</th>\n",
+       "      <td>16047</td>\n",
+       "      <td>2005-08-23 22:42:48</td>\n",
+       "      <td>2088</td>\n",
+       "      <td>114</td>\n",
+       "      <td>2005-08-25 02:48:48</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16042</th>\n",
+       "      <td>16048</td>\n",
+       "      <td>2005-08-23 22:43:07</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>103</td>\n",
+       "      <td>2005-08-31 21:33:07</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16043</th>\n",
+       "      <td>16049</td>\n",
+       "      <td>2005-08-23 22:50:12</td>\n",
+       "      <td>2666</td>\n",
+       "      <td>393</td>\n",
+       "      <td>2005-08-30 01:01:12</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>16044 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0              1 2005-05-24 22:53:30           367          130   \n",
+       "1              2 2005-05-24 22:54:33          1525          459   \n",
+       "2              3 2005-05-24 23:03:39          1711          408   \n",
+       "3              4 2005-05-24 23:04:41          2452          333   \n",
+       "4              5 2005-05-24 23:05:21          2079          222   \n",
+       "...          ...                 ...           ...          ...   \n",
+       "16039      16045 2005-08-23 22:25:26           772           14   \n",
+       "16040      16046 2005-08-23 22:26:47          4364           74   \n",
+       "16041      16047 2005-08-23 22:42:48          2088          114   \n",
+       "16042      16048 2005-08-23 22:43:07          2019          103   \n",
+       "16043      16049 2005-08-23 22:50:12          2666          393   \n",
+       "\n",
+       "              return_date  staff_id         last_update  \n",
+       "0     2005-05-26 22:04:30         1 2006-02-15 21:30:53  \n",
+       "1     2005-05-28 19:40:33         1 2006-02-15 21:30:53  \n",
+       "2     2005-06-01 22:12:39         1 2006-02-15 21:30:53  \n",
+       "3     2005-06-03 01:43:41         2 2006-02-15 21:30:53  \n",
+       "4     2005-06-02 04:33:21         1 2006-02-15 21:30:53  \n",
+       "...                   ...       ...                 ...  \n",
+       "16039 2005-08-25 23:54:26         1 2006-02-15 21:30:53  \n",
+       "16040 2005-08-27 18:02:47         2 2006-02-15 21:30:53  \n",
+       "16041 2005-08-25 02:48:48         2 2006-02-15 21:30:53  \n",
+       "16042 2005-08-31 21:33:07         1 2006-02-15 21:30:53  \n",
+       "16043 2005-08-30 01:01:12         2 2006-02-15 21:30:53  \n",
+       "\n",
+       "[16044 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/sakila'\n",
+    "engine = create_engine(connection_string)\n",
+    "data = pd.read_sql_query('SELECT * FROM SAKILA.RENTAL', engine)\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "2cba561e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "rental_id                int64\n",
+       "rental_date     datetime64[ns]\n",
+       "inventory_id             int64\n",
+       "customer_id              int64\n",
+       "return_date     datetime64[ns]\n",
+       "staff_id                 int64\n",
+       "last_update     datetime64[ns]\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "da5a798a",
+   "metadata": {},
+   "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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2005-05-24 22:53:30</td>\n",
+       "      <td>367</td>\n",
+       "      <td>130</td>\n",
+       "      <td>2005-05-26 22:04:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2005-05-24 22:54:33</td>\n",
+       "      <td>1525</td>\n",
+       "      <td>459</td>\n",
+       "      <td>2005-05-28 19:40:33</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2005-05-24 23:03:39</td>\n",
+       "      <td>1711</td>\n",
+       "      <td>408</td>\n",
+       "      <td>2005-06-01 22:12:39</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2005-05-24 23:04:41</td>\n",
+       "      <td>2452</td>\n",
+       "      <td>333</td>\n",
+       "      <td>2005-06-03 01:43:41</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2005-05-24 23:05:21</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>222</td>\n",
+       "      <td>2005-06-02 04:33:21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1151</th>\n",
+       "      <td>1153</td>\n",
+       "      <td>2005-05-31 21:36:44</td>\n",
+       "      <td>2725</td>\n",
+       "      <td>506</td>\n",
+       "      <td>2005-06-10 01:26:44</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1152</th>\n",
+       "      <td>1154</td>\n",
+       "      <td>2005-05-31 21:42:09</td>\n",
+       "      <td>2732</td>\n",
+       "      <td>59</td>\n",
+       "      <td>2005-06-08 16:40:09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1153</th>\n",
+       "      <td>1155</td>\n",
+       "      <td>2005-05-31 22:17:11</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>251</td>\n",
+       "      <td>2005-06-04 20:27:11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1154</th>\n",
+       "      <td>1156</td>\n",
+       "      <td>2005-05-31 22:37:34</td>\n",
+       "      <td>460</td>\n",
+       "      <td>106</td>\n",
+       "      <td>2005-06-01 23:02:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1155</th>\n",
+       "      <td>1157</td>\n",
+       "      <td>2005-05-31 22:47:45</td>\n",
+       "      <td>1449</td>\n",
+       "      <td>61</td>\n",
+       "      <td>2005-06-02 18:01:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1156 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0             1 2005-05-24 22:53:30           367          130   \n",
+       "1             2 2005-05-24 22:54:33          1525          459   \n",
+       "2             3 2005-05-24 23:03:39          1711          408   \n",
+       "3             4 2005-05-24 23:04:41          2452          333   \n",
+       "4             5 2005-05-24 23:05:21          2079          222   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "1151       1153 2005-05-31 21:36:44          2725          506   \n",
+       "1152       1154 2005-05-31 21:42:09          2732           59   \n",
+       "1153       1155 2005-05-31 22:17:11          2048          251   \n",
+       "1154       1156 2005-05-31 22:37:34           460          106   \n",
+       "1155       1157 2005-05-31 22:47:45          1449           61   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "0    2005-05-26 22:04:30         1 2006-02-15 21:30:53  \n",
+       "1    2005-05-28 19:40:33         1 2006-02-15 21:30:53  \n",
+       "2    2005-06-01 22:12:39         1 2006-02-15 21:30:53  \n",
+       "3    2005-06-03 01:43:41         2 2006-02-15 21:30:53  \n",
+       "4    2005-06-02 04:33:21         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "1151 2005-06-10 01:26:44         2 2006-02-15 21:30:53  \n",
+       "1152 2005-06-08 16:40:09         1 2006-02-15 21:30:53  \n",
+       "1153 2005-06-04 20:27:11         2 2006-02-15 21:30:53  \n",
+       "1154 2005-06-01 23:02:34         2 2006-02-15 21:30:53  \n",
+       "1155 2005-06-02 18:01:45         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[1156 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_date = '2005-05-01 00:00:00'\n",
+    "end_date = '2005-05-31 23:59:59'\n",
+    "\n",
+    "may_rentals = data[(data['rental_date'] >= start_date) & (data['rental_date'] <= end_date)]\n",
+    "may_rentals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "2553d1a8",
+   "metadata": {},
+   "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>customer_id</th>\n",
+       "      <th>may_rentals_count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>594</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>595</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>596</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>597</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>599</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  may_rentals_count\n",
+       "0              1                  2\n",
+       "1              2                  1\n",
+       "2              3                  2\n",
+       "3              5                  3\n",
+       "4              6                  3\n",
+       "..           ...                ...\n",
+       "515          594                  4\n",
+       "516          595                  1\n",
+       "517          596                  6\n",
+       "518          597                  2\n",
+       "519          599                  1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may_rentals_count = may_rentals.groupby('customer_id')['rental_id'].count().reset_index()\n",
+    "may_rentals_count.columns = ['customer_id', 'may_rentals_count']\n",
+    "may_rentals_count"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "7029ec9e",
+   "metadata": {},
+   "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",
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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>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1156</th>\n",
+       "      <td>1158</td>\n",
+       "      <td>2005-06-14 22:53:33</td>\n",
+       "      <td>1632</td>\n",
+       "      <td>416</td>\n",
+       "      <td>2005-06-18 21:37:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1157</th>\n",
+       "      <td>1159</td>\n",
+       "      <td>2005-06-14 22:55:13</td>\n",
+       "      <td>4395</td>\n",
+       "      <td>516</td>\n",
+       "      <td>2005-06-17 02:11:13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1158</th>\n",
+       "      <td>1160</td>\n",
+       "      <td>2005-06-14 23:00:34</td>\n",
+       "      <td>2795</td>\n",
+       "      <td>239</td>\n",
+       "      <td>2005-06-18 01:58:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1159</th>\n",
+       "      <td>1161</td>\n",
+       "      <td>2005-06-14 23:07:08</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>285</td>\n",
+       "      <td>2005-06-21 17:12:08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1160</th>\n",
+       "      <td>1162</td>\n",
+       "      <td>2005-06-14 23:09:38</td>\n",
+       "      <td>987</td>\n",
+       "      <td>310</td>\n",
+       "      <td>2005-06-23 22:00:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3462</th>\n",
+       "      <td>3465</td>\n",
+       "      <td>2005-06-21 22:10:01</td>\n",
+       "      <td>1488</td>\n",
+       "      <td>510</td>\n",
+       "      <td>2005-06-30 21:35:01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3463</th>\n",
+       "      <td>3466</td>\n",
+       "      <td>2005-06-21 22:13:33</td>\n",
+       "      <td>371</td>\n",
+       "      <td>226</td>\n",
+       "      <td>2005-06-25 21:01:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3464</th>\n",
+       "      <td>3467</td>\n",
+       "      <td>2005-06-21 22:19:25</td>\n",
+       "      <td>729</td>\n",
+       "      <td>543</td>\n",
+       "      <td>2005-06-27 00:03:25</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3465</th>\n",
+       "      <td>3468</td>\n",
+       "      <td>2005-06-21 22:43:45</td>\n",
+       "      <td>2899</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2005-06-30 01:49:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3466</th>\n",
+       "      <td>3469</td>\n",
+       "      <td>2005-06-21 22:48:59</td>\n",
+       "      <td>4087</td>\n",
+       "      <td>181</td>\n",
+       "      <td>2005-06-28 19:32:59</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2311 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "1156       1158 2005-06-14 22:53:33          1632          416   \n",
+       "1157       1159 2005-06-14 22:55:13          4395          516   \n",
+       "1158       1160 2005-06-14 23:00:34          2795          239   \n",
+       "1159       1161 2005-06-14 23:07:08          1690          285   \n",
+       "1160       1162 2005-06-14 23:09:38           987          310   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "3462       3465 2005-06-21 22:10:01          1488          510   \n",
+       "3463       3466 2005-06-21 22:13:33           371          226   \n",
+       "3464       3467 2005-06-21 22:19:25           729          543   \n",
+       "3465       3468 2005-06-21 22:43:45          2899          100   \n",
+       "3466       3469 2005-06-21 22:48:59          4087          181   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "1156 2005-06-18 21:37:33         2 2006-02-15 21:30:53  \n",
+       "1157 2005-06-17 02:11:13         1 2006-02-15 21:30:53  \n",
+       "1158 2005-06-18 01:58:34         2 2006-02-15 21:30:53  \n",
+       "1159 2005-06-21 17:12:08         1 2006-02-15 21:30:53  \n",
+       "1160 2005-06-23 22:00:38         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "3462 2005-06-30 21:35:01         1 2006-02-15 21:30:53  \n",
+       "3463 2005-06-25 21:01:33         2 2006-02-15 21:30:53  \n",
+       "3464 2005-06-27 00:03:25         2 2006-02-15 21:30:53  \n",
+       "3465 2005-06-30 01:49:45         1 2006-02-15 21:30:53  \n",
+       "3466 2005-06-28 19:32:59         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[2311 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_date = '2005-06-01 00:00:00'\n",
+    "end_date = '2005-06-30 23:59:59'\n",
+    "\n",
+    "june_rentals = data[(data['rental_date'] >= start_date) & (data['rental_date'] <= end_date)]\n",
+    "june_rentals"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "1c5c0d3a",
+   "metadata": {},
+   "outputs": [
+    {
+     "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",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>june_rentals_count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
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+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
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+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>595</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>596</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>597</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>598</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>599</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  june_rentals_count\n",
+       "0              1                   7\n",
+       "1              2                   1\n",
+       "2              3                   4\n",
+       "3              4                   6\n",
+       "4              5                   5\n",
+       "..           ...                 ...\n",
+       "585          595                   2\n",
+       "586          596                   2\n",
+       "587          597                   3\n",
+       "588          598                   1\n",
+       "589          599                   4\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "june_rentals_count = june_rentals.groupby('customer_id')['rental_id'].count().reset_index()\n",
+    "june_rentals_count.columns = ['customer_id', 'june_rentals_count']\n",
+    "june_rentals_count"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "bf2763c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "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",
+       "        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>customer_id</th>\n",
+       "      <th>may_count</th>\n",
+       "      <th>june_count</th>\n",
+       "      <th>comparison</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>Equal</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>6</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>More</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>592</th>\n",
+       "      <td>585</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>593</th>\n",
+       "      <td>591</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>594</th>\n",
+       "      <td>592</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>595</th>\n",
+       "      <td>598</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>596</th>\n",
+       "      <td>599</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>More</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>597 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  may_count  june_count comparison\n",
+       "0              1        2.0         7.0       More\n",
+       "1              2        1.0         1.0      Equal\n",
+       "2              3        2.0         4.0       More\n",
+       "3              5        1.0         5.0       More\n",
+       "4              6        3.0         4.0       More\n",
+       "..           ...        ...         ...        ...\n",
+       "592          585        0.0         4.0       More\n",
+       "593          591        0.0         3.0       More\n",
+       "594          592        0.0         5.0       More\n",
+       "595          598        0.0         1.0       More\n",
+       "596          599        0.0         4.0       More\n",
+       "\n",
+       "[597 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "start_may = '2005-05-01 00:00:00'\n",
+    "end_may = '2005-05-31 00:00:00'\n",
+    "start_june = '2005-06-01 00:00:00'\n",
+    "end_june = '2005-06-30 23:59:59'\n",
+    "\n",
+    "def compare_rentals(data, start_may, end_may, start_june, end_june):\n",
+    "\n",
+    "    may_rentals = data[(data['rental_date'] >= start_may) & (data['rental_date'] <= end_may)]\n",
+    "    june_rentals = data[(data['rental_date'] >= start_june) & (data['rental_date'] <= end_june)]\n",
+    "\n",
+    "    may_counts = may_rentals.groupby('customer_id').size().reset_index(name='may_count')\n",
+    "    june_counts = june_rentals.groupby('customer_id').size().reset_index(name='june_count')\n",
+    "\n",
+    "    merged_counts = pd.merge(may_counts, june_counts, on='customer_id', how='outer').fillna(0)\n",
+    "\n",
+    "\n",
+    "    merged_counts['comparison'] = 'Equal'\n",
+    "    merged_counts.loc[merged_counts['june_count'] > merged_counts['may_count'], 'comparison'] = 'More'\n",
+    "    merged_counts.loc[merged_counts['june_count'] < merged_counts['may_count'], 'comparison'] = 'Less'\n",
+    "\n",
+    "    return merged_counts\n",
+    "\n",
+    "result = compare_rentals(data, start_may, end_may, start_june, end_june)\n",
+    "\n",
+    "result\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ff79070",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "561bcb74",
+   "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",
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+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
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+ "nbformat_minor": 5
+}