diff --git a/lab7.ipynb b/lab7.ipynb
new file mode 100644
index 0000000..c02f7bc
--- /dev/null
+++ b/lab7.ipynb
@@ -0,0 +1,576 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "dfb724b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import getpass  # To get the password without showing the input\n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "bcac7947",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Engine(mysql+pymysql://root:***@localhost/sakila)"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bd = \"sakila\"\n",
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/'+bd\n",
+    "engine = create_engine(connection_string)\n",
+    "engine"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "4fb3a6ba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sqlalchemy import text\n",
+    "\n",
+    "def get_rental_info(engine,month,year):\n",
+    "    with engine.connect() as connection:\n",
+    "        query = text(\"\"\"SELECT * FROM rental\n",
+    "                                WHERE MONTH(rental_date) = :month AND YEAR(rental_date) = :year;\n",
+    "                    \"\"\")\n",
+    "        result = connection.execute(query, {\n",
+    "            \"month\": month,\n",
+    "            \"year\": year\n",
+    "        })\n",
+    "        df = pd.DataFrame(result.all())\n",
+    "    return df\n",
+    "df = get_rental_info(engine,5,2005)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "8f0b4a99",
+   "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": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "9872bf03",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "def get_rental_info_customer_id(engine,month,year):\n",
+    "    with engine.connect() as connection:\n",
+    "        query = text(\"\"\"SELECT * FROM rental\n",
+    "                                WHERE MONTH(rental_date) = :month AND YEAR(rental_date) = :year;\n",
+    "                    \"\"\")\n",
+    "        result = connection.execute(query, {\n",
+    "            \"month\": month,\n",
+    "            \"year\": year\n",
+    "        })\n",
+    "        df = pd.DataFrame(result.all())\n",
+    "\n",
+    "    column_name = \"rentals_\" + f\"{int(month):02d}\" + \"_\" + str(year)\n",
+    "\n",
+    "    df =df.groupby(\"customer_id\").size().reset_index(name=column_name)\n",
+    "    return df\n",
+    "df = get_rental_info_customer_id(engine,5,2005)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "3b719d6a",
+   "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>rentals_05_2005</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  rentals_05_2005\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": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "ed15b1d0",
+   "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>rentals_05_2005</th>\n",
+       "      <th>rentals_06_2005</th>\n",
+       "      <th>difference</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>-5.0</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>0.0</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>-2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>-6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>-2.0</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>593</th>\n",
+       "      <td>595</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>594</th>\n",
+       "      <td>596</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>595</th>\n",
+       "      <td>597</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>596</th>\n",
+       "      <td>598</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>-1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>597</th>\n",
+       "      <td>599</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>-3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>598 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  rentals_05_2005  rentals_06_2005  difference\n",
+       "0              1              2.0              7.0        -5.0\n",
+       "1              2              1.0              1.0         0.0\n",
+       "2              3              2.0              4.0        -2.0\n",
+       "3              4              0.0              6.0        -6.0\n",
+       "4              5              3.0              5.0        -2.0\n",
+       "..           ...              ...              ...         ...\n",
+       "593          595              1.0              2.0        -1.0\n",
+       "594          596              6.0              2.0         4.0\n",
+       "595          597              2.0              3.0        -1.0\n",
+       "596          598              0.0              1.0        -1.0\n",
+       "597          599              1.0              4.0        -3.0\n",
+       "\n",
+       "[598 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def compare_rental_info(engine,month1,year1,month2,year2):\n",
+    "    df1 = get_rental_info_customer_id(engine,month1,year1)\n",
+    "    df2 = get_rental_info_customer_id(engine,month2,year2)\n",
+    "\n",
+    "    merged_df = pd.merge(df1, df2, on='customer_id', how='outer').fillna(0)\n",
+    "\n",
+    "    merged_df['difference'] = merged_df.iloc[:, 1] - merged_df.iloc[:, 2]\n",
+    "\n",
+    "    return merged_df\n",
+    "comparison_df = compare_rental_info(engine,5,2005,6,2005)\n",
+    "comparison_df"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}