ANALYSIS1 (1).ipynb

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   "cell_type": "markdown",
   "id": "3fed8c3b-151b-40c1-82b1-54e0de182249",
   "metadata": {},
   "source": [
    "\n",
    "<h1>            ANALYSING TALLY DATA AND PROVIDING PRECIOUS INSIGHTS</h1>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5438641-a344-4627-9b9d-d43c31400bd8",
   "metadata": {},
   "source": [
    "\n",
    "<h2>IMPORTING DEPENDENCIES</h2>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "384a40e9-d6b0-4406-b5ef-2809b30d128e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e76914df-a1e0-4136-a4a4-f0f7fc490d76",
   "metadata": {},
   "source": [
    "## TAKING DATA FROM TWO TALLY SHEETS OF DIFFERENT FINANCIAL YEAR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "4543b322-ed9b-40af-b49c-10142c7a25da",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_excel(\"C:\\\\Users\\\\yashs\\\\Downloads\\\\tally 22-23.xlsx\", engine=\"openpyxl\")\n",
    "df2 = pd.read_excel(r\"C:\\Users\\yashs\\Downloads\\tally23-24.xlsx\", engine=\"openpyxl\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccca7d62-f70a-441b-9198-7f3a084b920b",
   "metadata": {},
   "source": [
    "## PREPROCESSING AND EXPLORING DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "8a640d44-db94-4405-b3de-cd14ddbc83d5",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Particulars</th>\n",
       "      <th>Vch Type</th>\n",
       "      <th>Vch No.</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>Computer - Software</td>\n",
       "      <td>Journal</td>\n",
       "      <td>1</td>\n",
       "      <td>614.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-04</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>1</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>2</td>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>360.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>O/S Liabilities (2021-22)</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>5</td>\n",
       "      <td>589.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-04-21</td>\n",
       "      <td>Electricity Expenses</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>1</td>\n",
       "      <td>1168.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022-04-30</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>6</td>\n",
       "      <td>6600.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>7</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>8</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date                Particulars        Vch Type  Vch No.   Debit  \\\n",
       "0 2022-04-01        Computer - Software         Journal        1   614.0   \n",
       "1 2022-04-04      Rep & Maint - General  PMT LUC - CASH        1   200.0   \n",
       "2 2022-04-15            Courier Charges  PMT LUC - CASH        2   120.0   \n",
       "3 2022-04-17            Garden Expenses  PMT LUC - CASH        3   360.0   \n",
       "4 2022-04-17      Rep & Maint - General  PMT LUC - CASH        4  2000.0   \n",
       "5 2022-04-17  O/S Liabilities (2021-22)  PMT LUC - CASH        5   589.0   \n",
       "6 2022-04-21       Electricity Expenses  PMT LUC - BANK        1  1168.0   \n",
       "7 2022-04-30                   Salaries  PMT LUC - CASH        6  6600.0   \n",
       "8 2022-05-01                   Salaries  PMT LUC - CASH        7  5000.0   \n",
       "9 2022-05-01   Housekeeping Comsumables  PMT LUC - CASH        8  1800.0   \n",
       "\n",
       "   Credit  \n",
       "0     NaN  \n",
       "1     NaN  \n",
       "2     NaN  \n",
       "3     NaN  \n",
       "4     NaN  \n",
       "5     NaN  \n",
       "6     NaN  \n",
       "7     NaN  \n",
       "8     NaN  \n",
       "9     NaN  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "5bf28a5e-de44-4827-a6b2-91365e8a2a32",
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   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>222.000000</td>\n",
       "      <td>18.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>16375.905405</td>\n",
       "      <td>81074.888889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>76051.275156</td>\n",
       "      <td>124303.276222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100.000000</td>\n",
       "      <td>1063.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>606.500000</td>\n",
       "      <td>12699.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3127.000000</td>\n",
       "      <td>50000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5600.000000</td>\n",
       "      <td>60000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>895787.000000</td>\n",
       "      <td>450000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "               Debit         Credit\n",
       "count     222.000000      18.000000\n",
       "mean    16375.905405   81074.888889\n",
       "std     76051.275156  124303.276222\n",
       "min       100.000000    1063.000000\n",
       "25%       606.500000   12699.750000\n",
       "50%      3127.000000   50000.000000\n",
       "75%      5600.000000   60000.000000\n",
       "max    895787.000000  450000.000000"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[['Debit','Credit']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "f701861a-0ffb-4ef3-bb84-4ec0fa6ae3db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 240 entries, 0 to 239\n",
      "Data columns (total 6 columns):\n",
      " #   Column       Non-Null Count  Dtype         \n",
      "---  ------       --------------  -----         \n",
      " 0   Date         240 non-null    datetime64[ns]\n",
      " 1   Particulars  240 non-null    object        \n",
      " 2   Vch Type     240 non-null    object        \n",
      " 3   Vch No.      240 non-null    int64         \n",
      " 4   Debit        222 non-null    float64       \n",
      " 5   Credit       18 non-null     float64       \n",
      "dtypes: datetime64[ns](1), float64(2), int64(1), object(2)\n",
      "memory usage: 11.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "48f7f367-7899-4f61-bba6-3694f3dfcec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "## SINCE DATE CLASS IS A datetime64 datatype se can directly use dt without converting it into time series object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "60401bf6-ee55-4146-962e-4453d8037964",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1       4\n",
       "2      15\n",
       "3      17\n",
       "4      17\n",
       "       ..\n",
       "235    31\n",
       "236    31\n",
       "237    31\n",
       "238    31\n",
       "239    31\n",
       "Name: Date, Length: 240, dtype: int32"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "date =df1['Date'].dt.day \n",
    "date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ebad34db-f4ac-41fa-b97c-7f3fbc6d5c12",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      4\n",
       "1      4\n",
       "2      4\n",
       "3      4\n",
       "4      4\n",
       "      ..\n",
       "235    3\n",
       "236    3\n",
       "237    3\n",
       "238    3\n",
       "239    3\n",
       "Name: Date, Length: 240, dtype: int32"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "month =df1['Date'].dt.month\n",
    "month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "be911522-3f3f-49d3-b659-b42c3d7b3d63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      2022\n",
       "1      2022\n",
       "2      2022\n",
       "3      2022\n",
       "4      2022\n",
       "       ... \n",
       "235    2023\n",
       "236    2023\n",
       "237    2023\n",
       "238    2023\n",
       "239    2023\n",
       "Name: Date, Length: 240, dtype: int32"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year=df1['Date'].dt.year\n",
    "year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "3f4c9f0d-c09a-43b5-aa86-93979214d048",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.insert(1,'date',date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "fbc7fc06-9442-49ea-b2e3-1aa7fd25f144",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.insert(2,'month',month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d5368bcd-8a77-4a5a-97aa-4cd42edd9712",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1.insert(3,'year',year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "55af5fad-f04f-4f97-a92a-5c1020ebe23a",
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   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>date</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>Particulars</th>\n",
       "      <th>Vch Type</th>\n",
       "      <th>Vch No.</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Computer - Software</td>\n",
       "      <td>Journal</td>\n",
       "      <td>1</td>\n",
       "      <td>614.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-04</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>1</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>2</td>\n",
       "      <td>120.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>360.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Machinery, Equipment &amp; Vehicles</td>\n",
       "      <td>Journal</td>\n",
       "      <td>16</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Donation in Kind - Assets</td>\n",
       "      <td>Journal</td>\n",
       "      <td>17</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi (EPF)</td>\n",
       "      <td>Journal</td>\n",
       "      <td>18</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Branch Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>19</td>\n",
       "      <td>36301.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow Operation Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>20</td>\n",
       "      <td>505535.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>240 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  date  month  year                      Particulars  \\\n",
       "0   2022-04-01     1      4  2022              Computer - Software   \n",
       "1   2022-04-04     4      4  2022            Rep & Maint - General   \n",
       "2   2022-04-15    15      4  2022                  Courier Charges   \n",
       "3   2022-04-17    17      4  2022                  Garden Expenses   \n",
       "4   2022-04-17    17      4  2022            Rep & Maint - General   \n",
       "..         ...   ...    ...   ...                              ...   \n",
       "235 2023-03-31    31      3  2023  Machinery, Equipment & Vehicles   \n",
       "236 2023-03-31    31      3  2023        Donation in Kind - Assets   \n",
       "237 2023-03-31    31      3  2023            Lucknow - Delhi (EPF)   \n",
       "238 2023-03-31    31      3  2023                      Branch Fund   \n",
       "239 2023-03-31    31      3  2023           Lucknow Operation Fund   \n",
       "\n",
       "           Vch Type  Vch No.     Debit  Credit  \n",
       "0           Journal        1     614.0     NaN  \n",
       "1    PMT LUC - CASH        1     200.0     NaN  \n",
       "2    PMT LUC - CASH        2     120.0     NaN  \n",
       "3    PMT LUC - CASH        3     360.0     NaN  \n",
       "4    PMT LUC - CASH        4    2000.0     NaN  \n",
       "..              ...      ...       ...     ...  \n",
       "235         Journal       16     200.0     NaN  \n",
       "236         Journal       17     200.0     NaN  \n",
       "237         Journal       18    3300.0     NaN  \n",
       "238         Journal       19   36301.0     NaN  \n",
       "239         Journal       20  505535.0     NaN  \n",
       "\n",
       "[240 rows x 9 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "ea402bcb-08b4-40a8-9868-b6487843b661",
   "metadata": {},
   "outputs": [],
   "source": [
    "totaldebit=df1['Debit'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "09de6b78-5675-4708-b52d-47d726dadc25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3635451.0"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totaldebit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "5dbc3e29-b425-49c1-90ae-6ba9f6bf8519",
   "metadata": {},
   "outputs": [],
   "source": [
    "totalcredit=df1['Credit'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "41fa0971-a3d6-403b-b7b3-48407953da15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1459348.0"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "totalcredit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "3e629deb-231a-484f-b93a-25f85f3c704f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>date</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>Particulars</th>\n",
       "      <th>Vch Type</th>\n",
       "      <th>Vch No.</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Computer - Software</td>\n",
       "      <td>Journal</td>\n",
       "      <td>1</td>\n",
       "      <td>614.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-04</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>1</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>2</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  date  month  year            Particulars        Vch Type  \\\n",
       "0 2022-04-01     1      4  2022    Computer - Software         Journal   \n",
       "1 2022-04-04     4      4  2022  Rep & Maint - General  PMT LUC - CASH   \n",
       "2 2022-04-15    15      4  2022        Courier Charges  PMT LUC - CASH   \n",
       "3 2022-04-17    17      4  2022        Garden Expenses  PMT LUC - CASH   \n",
       "4 2022-04-17    17      4  2022  Rep & Maint - General  PMT LUC - CASH   \n",
       "\n",
       "   Vch No.   Debit  Credit  \n",
       "0        1   614.0     0.0  \n",
       "1        1   200.0     0.0  \n",
       "2        2   120.0     0.0  \n",
       "3        3   360.0     0.0  \n",
       "4        4  2000.0     0.0  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.fillna(0,inplace=True)\n",
    "df1.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97956c3e-e181-4cee-8371-c6acce5d0c53",
   "metadata": {},
   "source": [
    "## BREAKING DOWN DATA BY THE USE OF FUNTIONS SUCH AS GROUPBY AND MELT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "89af8d5f-97b7-48a3-add6-e1b168318a35",
   "metadata": {},
   "outputs": [],
   "source": [
    "monthly_summary = df1.groupby(['year','month']).agg({'Debit': 'sum', 'Credit': 'sum'}).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "a42e955f-d680-47e1-ad29-97a7ff3dc9b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>4</td>\n",
       "      <td>11651.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022</td>\n",
       "      <td>5</td>\n",
       "      <td>11909.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>6</td>\n",
       "      <td>27412.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022</td>\n",
       "      <td>7</td>\n",
       "      <td>314291.0</td>\n",
       "      <td>571381.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>8</td>\n",
       "      <td>300852.0</td>\n",
       "      <td>66933.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022</td>\n",
       "      <td>9</td>\n",
       "      <td>79477.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022</td>\n",
       "      <td>10</td>\n",
       "      <td>54336.0</td>\n",
       "      <td>377174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>142250.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>252184.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>81249.0</td>\n",
       "      <td>162797.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>59831.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>2300009.0</td>\n",
       "      <td>31063.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year  month      Debit    Credit\n",
       "0   2022      4    11651.0       0.0\n",
       "1   2022      5    11909.0   50000.0\n",
       "2   2022      6    27412.0       0.0\n",
       "3   2022      7   314291.0  571381.0\n",
       "4   2022      8   300852.0   66933.0\n",
       "5   2022      9    79477.0   50000.0\n",
       "6   2022     10    54336.0  377174.0\n",
       "7   2022     11   142250.0   50000.0\n",
       "8   2022     12   252184.0   50000.0\n",
       "9   2023      1    81249.0  162797.0\n",
       "10  2023      2    59831.0   50000.0\n",
       "11  2023      3  2300009.0   31063.0"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "6712978a-1bef-4b47-9176-1cfbf131ca58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "\n",
    "debit_plot = sns.lineplot(x='month', y='Debit', data=monthly_summary, label='Debit')\n",
    "credit_plot = sns.lineplot(x='month', y='Credit', data=monthly_summary, label='Credit')\n",
    "\n",
    "plt.title('Monthly Debit and Credit Summary', fontsize=14)\n",
    "plt.xlabel('Month', fontsize=12)\n",
    "plt.ylabel('Amount', fontsize=12)\n",
    "\n",
    "plt.legend(title='Transaction Type')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5ae9a6b5-4f11-485f-ab43-e108c490fa29",
   "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>month</th>\n",
       "      <th>year</th>\n",
       "      <th>variable</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>11651.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>11909.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>27412.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>314291.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>300852.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>79477.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>54336.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>11</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>142250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>12</td>\n",
       "      <td>2022</td>\n",
       "      <td>Debit</td>\n",
       "      <td>252184.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>Debit</td>\n",
       "      <td>81249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>Debit</td>\n",
       "      <td>59831.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Debit</td>\n",
       "      <td>2300009.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>6</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>7</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>571381.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>66933.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>377174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>11</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>12</td>\n",
       "      <td>2022</td>\n",
       "      <td>Credit</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>Credit</td>\n",
       "      <td>162797.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>Credit</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Credit</td>\n",
       "      <td>31063.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    month  year variable      value\n",
       "0       4  2022    Debit    11651.0\n",
       "1       5  2022    Debit    11909.0\n",
       "2       6  2022    Debit    27412.0\n",
       "3       7  2022    Debit   314291.0\n",
       "4       8  2022    Debit   300852.0\n",
       "5       9  2022    Debit    79477.0\n",
       "6      10  2022    Debit    54336.0\n",
       "7      11  2022    Debit   142250.0\n",
       "8      12  2022    Debit   252184.0\n",
       "9       1  2023    Debit    81249.0\n",
       "10      2  2023    Debit    59831.0\n",
       "11      3  2023    Debit  2300009.0\n",
       "12      4  2022   Credit        0.0\n",
       "13      5  2022   Credit    50000.0\n",
       "14      6  2022   Credit        0.0\n",
       "15      7  2022   Credit   571381.0\n",
       "16      8  2022   Credit    66933.0\n",
       "17      9  2022   Credit    50000.0\n",
       "18     10  2022   Credit   377174.0\n",
       "19     11  2022   Credit    50000.0\n",
       "20     12  2022   Credit    50000.0\n",
       "21      1  2023   Credit   162797.0\n",
       "22      2  2023   Credit    50000.0\n",
       "23      3  2023   Credit    31063.0"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_melted = monthly_summary.melt(id_vars=['month','year'], var_name='variable', value_name='value')\n",
    "df_melted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "79652a35-4cdd-416a-938b-d60720b7950f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\")\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(x=\"month\", y=\"value\", hue=\"variable\", data=df_melted, palette='flare')\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Months', fontsize=12)\n",
    "plt.ylabel('Value', fontsize=12)\n",
    "plt.title('Stacked Bar Plot', fontsize=14)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "34628d4b-dbbd-46f1-8afa-29a4681f7199",
   "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>Particulars</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Salaries</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Internet Expenses</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Electricity Expenses</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Wooden Cabinet 22-23</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AXIS - Lucknow - 913010001710740</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Machinery, Equipment &amp; Vehicles</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Book Fair Expenses</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Interest - Savings</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Meditational Aids - Expenses</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Printing Expenses</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Stationery Expenses</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Conveyance Expenses</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Assets of Rs 5000 Or Below</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Hiring Charges - Pandals,Tents,Utensils Etc.</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Suraj Caterers - Advance</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Donation in Kind - Assets</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Branch Fund</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Rep &amp; Maint - Machinery &amp; Equipments</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Audio Visuals</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Rep &amp; Maint - Computers</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Assistance for Educational Fees</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Donation-in-Kind Assets &lt; Rs 5000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Furniture &amp; Fittings</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Clothes for Needy</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Photocopying Expenses</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Lucknow - Delhi (EPF)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Computer - Software</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Security Deposit - Gas Cylinders</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Advance to Navneet Singh</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>GIRISH RADIO CORPORATION</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Rent</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Sapna Caterers - Advance</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>RAJESH RADIO CORPORATION</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Apex Sound Solutions Private Limited</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>EPF Payable</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>O/S Liabilities (2021-22)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Lucknow Operation Fund</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Particulars  count\n",
       "0                                  Food Expenses     26\n",
       "1                       Housekeeping Comsumables     25\n",
       "2                                Garden Expenses     20\n",
       "3                                       Salaries     20\n",
       "4                          Rep & Maint - General     17\n",
       "5                                Courier Charges     14\n",
       "6                                Lucknow - Delhi     13\n",
       "7                              Internet Expenses     12\n",
       "8                           Electricity Expenses     11\n",
       "9                           Wooden Cabinet 22-23     11\n",
       "10              AXIS - Lucknow - 913010001710740     10\n",
       "11               Machinery, Equipment & Vehicles      7\n",
       "12                            Book Fair Expenses      5\n",
       "13                            Interest - Savings      4\n",
       "14                  Meditational Aids - Expenses      3\n",
       "15                             Printing Expenses      3\n",
       "16                           Stationery Expenses      3\n",
       "17                           Conveyance Expenses      2\n",
       "18                    Assets of Rs 5000 Or Below      2\n",
       "19  Hiring Charges - Pandals,Tents,Utensils Etc.      2\n",
       "20                      Suraj Caterers - Advance      2\n",
       "21                     Donation in Kind - Assets      2\n",
       "22                                   Branch Fund      2\n",
       "23          Rep & Maint - Machinery & Equipments      2\n",
       "24                                 Audio Visuals      2\n",
       "25                       Rep & Maint - Computers      2\n",
       "26               Assistance for Educational Fees      2\n",
       "27             Donation-in-Kind Assets < Rs 5000      1\n",
       "28                          Furniture & Fittings      1\n",
       "29                             Clothes for Needy      1\n",
       "30                         Photocopying Expenses      1\n",
       "31                         Lucknow - Delhi (EPF)      1\n",
       "32                           Computer - Software      1\n",
       "33              Security Deposit - Gas Cylinders      1\n",
       "34                      Advance to Navneet Singh      1\n",
       "35                      GIRISH RADIO CORPORATION      1\n",
       "36                                          Rent      1\n",
       "37                      Sapna Caterers - Advance      1\n",
       "38                      RAJESH RADIO CORPORATION      1\n",
       "39          Apex Sound Solutions Private Limited      1\n",
       "40                                   EPF Payable      1\n",
       "41                     O/S Liabilities (2021-22)      1\n",
       "42                        Lucknow Operation Fund      1"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "particularscount= df1['Particulars'].value_counts().to_frame().reset_index()\n",
    "particularscount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "384252cd-3bd2-43af-96b8-262783dfc35e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\yashs\\AppData\\Local\\Temp\\ipykernel_39404\\1301094005.py:7: UserWarning:\n",
      "\n",
      "set_ticklabels() should only be used with a fixed number of ticks, i.e. after set_ticks() or using a FixedLocator.\n",
      "\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme(style=\"darkgrid\")\n",
    "# Create a bubble plot with 'Particulars' ordered by their 'count' and represented by bubble size\n",
    "plt.figure(figsize=(12, 8))\n",
    "scatter =  sns.scatterplot(data=particularscount, x=\"Particulars\", y=\"count\", s=200, alpha=0.9,hue='Particulars',legend=False)  # Adjust the marker size and transparency\n",
    "\n",
    "# Rotate x-axis labels for better readability\n",
    "scatter.set_xticklabels(scatter.get_xticklabels(), rotation=45, horizontalalignment='right')\n",
    "\n",
    "# Set plot title and axis labels\n",
    "plt.title('Bubble Plot of Particulars by Count', fontsize=14)\n",
    "plt.xlabel('Particulars', fontsize=12)\n",
    "plt.ylabel('Count', fontsize=12)\n",
    "\n",
    "# Show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "b02083de-15ce-496d-8d57-4feebc609f02",
   "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>Particulars</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RAJESH RADIO CORPORATION</td>\n",
       "      <td>24662.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AXIS - Lucknow - 913010001710740</td>\n",
       "      <td>0.0</td>\n",
       "      <td>520000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Advance to Navneet Singh</td>\n",
       "      <td>50936.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Apex Sound Solutions Private Limited</td>\n",
       "      <td>139440.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Assets of Rs 5000 Or Below</td>\n",
       "      <td>6499.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Assistance for Educational Fees</td>\n",
       "      <td>33000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Audio Visuals</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Book Fair Expenses</td>\n",
       "      <td>72744.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Branch Fund</td>\n",
       "      <td>182683.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Clothes for Needy</td>\n",
       "      <td>26832.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Computer - Software</td>\n",
       "      <td>614.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Conveyance Expenses</td>\n",
       "      <td>5310.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>1755.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Donation in Kind - Assets</td>\n",
       "      <td>500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Donation-in-Kind Assets &lt; Rs 5000</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>EPF Payable</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Electricity Expenses</td>\n",
       "      <td>96129.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>127428.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Furniture &amp; Fittings</td>\n",
       "      <td>121413.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>GIRISH RADIO CORPORATION</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6933.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>47135.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Hiring Charges - Pandals,Tents,Utensils Etc.</td>\n",
       "      <td>19920.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>82942.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Interest - Savings</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7415.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Internet Expenses</td>\n",
       "      <td>7068.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>1469356.0</td>\n",
       "      <td>925000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Lucknow - Delhi (EPF)</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Lucknow Operation Fund</td>\n",
       "      <td>505535.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Machinery, Equipment &amp; Vehicles</td>\n",
       "      <td>216646.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Meditational Aids - Expenses</td>\n",
       "      <td>3570.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>O/S Liabilities (2021-22)</td>\n",
       "      <td>589.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Photocopying Expenses</td>\n",
       "      <td>300.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Printing Expenses</td>\n",
       "      <td>6326.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Rent</td>\n",
       "      <td>5376.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Rep &amp; Maint - Computers</td>\n",
       "      <td>1400.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>18690.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Rep &amp; Maint - Machinery &amp; Equipments</td>\n",
       "      <td>25630.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Salaries</td>\n",
       "      <td>171600.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Sapna Caterers - Advance</td>\n",
       "      <td>7640.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Security Deposit - Gas Cylinders</td>\n",
       "      <td>4650.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Stationery Expenses</td>\n",
       "      <td>4920.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Suraj Caterers - Advance</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Wooden Cabinet 22-23</td>\n",
       "      <td>121413.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Particulars      Debit    Credit\n",
       "0                       RAJESH RADIO CORPORATION    24662.0       0.0\n",
       "1               AXIS - Lucknow - 913010001710740        0.0  520000.0\n",
       "2                       Advance to Navneet Singh    50936.0       0.0\n",
       "3           Apex Sound Solutions Private Limited   139440.0       0.0\n",
       "4                     Assets of Rs 5000 Or Below     6499.0       0.0\n",
       "5                Assistance for Educational Fees    33000.0       0.0\n",
       "6                                  Audio Visuals     3000.0       0.0\n",
       "7                             Book Fair Expenses    72744.0       0.0\n",
       "8                                    Branch Fund   182683.0       0.0\n",
       "9                              Clothes for Needy    26832.0       0.0\n",
       "10                           Computer - Software      614.0       0.0\n",
       "11                           Conveyance Expenses     5310.0       0.0\n",
       "12                               Courier Charges     1755.0       0.0\n",
       "13                     Donation in Kind - Assets      500.0       0.0\n",
       "14             Donation-in-Kind Assets < Rs 5000      200.0       0.0\n",
       "15                                   EPF Payable     3300.0       0.0\n",
       "16                          Electricity Expenses    96129.0       0.0\n",
       "17                                 Food Expenses   127428.0       0.0\n",
       "18                          Furniture & Fittings   121413.0       0.0\n",
       "19                      GIRISH RADIO CORPORATION        0.0    6933.0\n",
       "20                               Garden Expenses    47135.0       0.0\n",
       "21  Hiring Charges - Pandals,Tents,Utensils Etc.    19920.0       0.0\n",
       "22                      Housekeeping Comsumables    82942.0       0.0\n",
       "23                            Interest - Savings        0.0    7415.0\n",
       "24                             Internet Expenses     7068.0       0.0\n",
       "25                               Lucknow - Delhi  1469356.0  925000.0\n",
       "26                         Lucknow - Delhi (EPF)     3300.0       0.0\n",
       "27                        Lucknow Operation Fund   505535.0       0.0\n",
       "28               Machinery, Equipment & Vehicles   216646.0       0.0\n",
       "29                  Meditational Aids - Expenses     3570.0       0.0\n",
       "30                     O/S Liabilities (2021-22)      589.0       0.0\n",
       "31                         Photocopying Expenses      300.0       0.0\n",
       "32                             Printing Expenses     6326.0       0.0\n",
       "33                                          Rent     5376.0       0.0\n",
       "34                       Rep & Maint - Computers     1400.0       0.0\n",
       "35                         Rep & Maint - General    18690.0       0.0\n",
       "36          Rep & Maint - Machinery & Equipments    25630.0       0.0\n",
       "37                                      Salaries   171600.0       0.0\n",
       "38                      Sapna Caterers - Advance     7640.0       0.0\n",
       "39              Security Deposit - Gas Cylinders     4650.0       0.0\n",
       "40                           Stationery Expenses     4920.0       0.0\n",
       "41                      Suraj Caterers - Advance    15000.0       0.0\n",
       "42                          Wooden Cabinet 22-23   121413.0       0.0"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary2=df1.groupby(['Particulars']).agg({'Debit': 'sum', 'Credit': 'sum'}).reset_index()\n",
    "summary2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a99aca73-dcf4-4ec0-a953-8d0185b2e939",
   "metadata": {},
   "source": [
    "## MAKING USESR INTERACTIVE PIE CHART BY THE USE OF PLOTLY "
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          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Breakdown of debit entries"
        },
        "width": 1000
       }
      },
      "image/png": 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   ],
   "source": [
    "summary2.loc[summary2['Credit'] < 2000, 'Particulars'] = 'Other credit' \n",
    "figcre = px.pie(summary2, values='Credit', names='Particulars', title='Breakdown of Credit entries')\n",
    "figcre.update_layout(\n",
    "    autosize=False,\n",
    "    width=1000,\n",
    "    height=1300,\n",
    "    showlegend=True\n",
    ")\n",
    "figcre.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "03fa24df-8345-4bcd-b205-7efd61e8ecf1",
   "metadata": {},
   "outputs": [],
   "source": [
    "summary3=df1.groupby(['Particulars']).agg({'Debit': 'mean', 'Credit': 'mean'}).reset_index()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "d698f1dc-6ca8-40c3-9a5a-9479840909a3",
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    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>date</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>Particulars</th>\n",
       "      <th>Vch Type</th>\n",
       "      <th>Vch No.</th>\n",
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       "      <th>Credit</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Computer - Software</td>\n",
       "      <td>Journal</td>\n",
       "      <td>1</td>\n",
       "      <td>614.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-04</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>2</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Machinery, Equipment &amp; Vehicles</td>\n",
       "      <td>Journal</td>\n",
       "      <td>16</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Donation in Kind - Assets</td>\n",
       "      <td>Journal</td>\n",
       "      <td>17</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi (EPF)</td>\n",
       "      <td>Journal</td>\n",
       "      <td>18</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Branch Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>19</td>\n",
       "      <td>36301.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow Operation Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>20</td>\n",
       "      <td>505535.0</td>\n",
       "      <td>0.0</td>\n",
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      ],
      "text/plain": [
       "          Date  date  month  year                      Particulars  \\\n",
       "0   2022-04-01     1      4  2022              Computer - Software   \n",
       "1   2022-04-04     4      4  2022            Rep & Maint - General   \n",
       "2   2022-04-15    15      4  2022                  Courier Charges   \n",
       "3   2022-04-17    17      4  2022                  Garden Expenses   \n",
       "4   2022-04-17    17      4  2022            Rep & Maint - General   \n",
       "..         ...   ...    ...   ...                              ...   \n",
       "235 2023-03-31    31      3  2023  Machinery, Equipment & Vehicles   \n",
       "236 2023-03-31    31      3  2023        Donation in Kind - Assets   \n",
       "237 2023-03-31    31      3  2023            Lucknow - Delhi (EPF)   \n",
       "238 2023-03-31    31      3  2023                      Branch Fund   \n",
       "239 2023-03-31    31      3  2023           Lucknow Operation Fund   \n",
       "\n",
       "           Vch Type  Vch No.     Debit  Credit  \n",
       "0           Journal        1     614.0     0.0  \n",
       "1    PMT LUC - CASH        1     200.0     0.0  \n",
       "2    PMT LUC - CASH        2     120.0     0.0  \n",
       "3    PMT LUC - CASH        3     360.0     0.0  \n",
       "4    PMT LUC - CASH        4    2000.0     0.0  \n",
       "..              ...      ...       ...     ...  \n",
       "235         Journal       16     200.0     0.0  \n",
       "236         Journal       17     200.0     0.0  \n",
       "237         Journal       18    3300.0     0.0  \n",
       "238         Journal       19   36301.0     0.0  \n",
       "239         Journal       20  505535.0     0.0  \n",
       "\n",
       "[240 rows x 9 columns]"
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     },
     "execution_count": 78,
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   "id": "95a189ce-b3fe-4760-93ed-70d05615358e",
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       "      <th></th>\n",
       "      <th>Vch Type</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "      <th>Vch No.</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Contra</td>\n",
       "      <td>0.0</td>\n",
       "      <td>520000.0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Journal</td>\n",
       "      <td>2512933.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>589201.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>533317.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RCP LUC - BANK</td>\n",
       "      <td>0.0</td>\n",
       "      <td>939348.0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Vch Type      Debit    Credit  Vch No.\n",
       "0          Contra        0.0  520000.0       10\n",
       "1         Journal  2512933.0       0.0       20\n",
       "2  PMT LUC - BANK   589201.0       0.0       28\n",
       "3  PMT LUC - CASH   533317.0       0.0      174\n",
       "4  RCP LUC - BANK        0.0  939348.0        8"
      ]
     },
     "execution_count": 79,
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   "source": [
    "vouch=df1.groupby(['Vch Type']).agg({'Debit': 'sum', 'Credit': 'sum','Vch No.' : 'max'}).reset_index()\n",
    "vouch"
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = px.bar(vouch, x=\"Vch Type\", y=['Credit','Debit'], title=\"Credit Debit distribution of each voucher type\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2546ee78-931e-48de-a1dd-75ba52b118ae",
   "metadata": {},
   "source": [
    "## FINDIND OUTLIERS BY IQR METHOD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "270a2488-717e-4adb-bc55-34e1c3432467",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Debit'>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAgMAAAG1CAYAAABkoPeiAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8fJSN1AAAACXBIWXMAAA9hAAAPYQGoP6dpAAAXyklEQVR4nO3deYyV5fnw8WtGQZBFBEbgVayvKFAXNgVLipYSS7WoaY1KEam1oMSJ+kNqqy0uGCPaliAU5IVWW6PFOGlj61Y1tUtsjaIo1UakaIMLyAxDf7JM2Znz/kGYOB3UGZ2NuT6fhIj3uc8595M7z/Cd85wzU1QoFAoBAKRV3NILAABalhgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJDcwfWdWCgUorq68X5YYXFxUaM+Hp+evWgd7EPrYS9aB/vw2RUXF0VRUdEnzqt3DFRXF+J///c/n2lRNU96cHEcfnin2Lx5a+zeXd0oj8mnYy9aB/vQetiL1sE+NI7u3TvFQQd9cgy4TAAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASO7gll7AJ/n3vzdEVdWWll7GJ+rcuUv06NGzpZcBAA3WqmPg3//eED/84XWxa9fOll7KJ2rXrn3MmjVbEABwwGnVMVBVtSV27doZHf7PF6K4fdea8eodm2P7uheiQ58vRPEhXT/mEZpH9c7Nsf39F6KqaosYAOCA06pjYJ/i9l3joI7d644fsv9xAKD+vIEQAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAybWKGNiyZXNLL6HZZDpWAA4MLR4D69dXxLRpV8b69RUtvZQml+lYAThwtHgMbNu2NQqFQmzbtrWll9LkMh0rAAeOFo8BAKBliQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEju4JZeAABkVV1dHatWrYyNGzdGt27don//gVFc3Pzfp4sBAGgBL7/8YpSVLYkNGyprxnr2LInx4yfGKaeMaNa1iAEAaGYvv/xiLFw4LwYPHhpTp14VRx7ZN9aufS+eeOKRWLhwXpSW/k+zBoH3DABAM6quro6ysiUxePDQuOqq6dGv3/HRoUOH6Nfv+LjqqukxePDQKCtbEtXV1c22plbzysC6dWvrNdaafdJ6D7TjAaDxrVq1MjZsqIypU6+q8/6A4uLi+NrXzotZs2bGqlUrY+DAE5plTa0mBn72s4UtvYTPrC0cAwBNa+PGjRERceSRffd7+77xffOaQ6uJgSuuKI0+fY6sNbZu3doD6h/Y/R3Dhx1oxwNA4+vWrVtERKxd+17063d8ndvXrn2v1rzm0GpioE+fI+Nzn/u/Lb2Mz6QtHAMATat//4HRs2dJPPHEI3HVVdNrXSqorq6O3//+0ejZsyT69x/YbGvyBkIAaEbFxcUxfvzEePXV5bFgwZx4661VsW3btnjrrVWxYMGcePXV5TF+/MRm/XkDreaVAQDI4pRTRkRp6f9EWdmSmDVrZs14z54lzf6xwggxAAAt4pRTRsTQoaf6CYQAkFlxcXGzfXzwY9fR0gsAAFqWGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAk1+Ix0LHjoVFUVBQdOx7a0ktpcpmOFYADx8EtvYAjjugVc+f+v+jSpWtLL6XJZTpWAA4cLf7KQESk+scx07ECcGBoFTEAALQcMQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkNzBLb2A+qjeubn2/+/YXOu/Le2/1wcAB5JWHQOdO3eJdu3ax/b3X9jv7dvX7X+8JbRr1z46d+7S0ssAgAZr1THQo0fPmDVrdlRVbWnppXyizp27RI8ePVt6GQDQYK06BiL2BoF/ZAGg6XgDIQAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACRXVCgUCvWZWCgUorq6XlPr5aCDimPPnupGezw+PXvROtiH1sNetA724bMrLi6KoqKiT5xX7xgAANomlwkAIDkxAADJiQEASE4MAEByYgAAkhMDAJCcGACA5MQAACQnBgAgOTEAAMmJAQBITgwAQHJiAACSa5IYqK6ujp/+9Kdx+umnx5AhQ+Lyyy+P99577yPnf/DBB/Hd7343hg8fHiNGjIhbb701tm3b1hRLS6ehe/Hoo4/GgAED6vxZs2ZNM666bVu8eHFMmjTpY+c4J5pHffbCOdE0Nm7cGDfffHOcccYZMWzYsJgwYUIsW7bsI+evWbMmpk6dGsOGDYtRo0bF3LlzY8+ePc244rbt4KZ40IULF8aDDz4Yd955Z/Tu3Tt+8pOfxJQpU+Kxxx6L9u3b15l/zTXXxLZt2+K+++6LzZs3x4wZM2Lr1q3xox/9qCmWl0pD9+Kf//xnjBgxIubMmVNrvHv37s215DZtyZIlMXfu3Dj11FM/dp5zounVdy+cE01j+vTpUVlZGXPmzIkePXrEAw88EJMnT47f/va3ceyxx9aau2vXrpg8eXIcc8wx8dBDD8W7774bM2bMiOLi4rjmmmta6AjamEIj27FjR2Ho0KGFJUuW1Ixt2rSpMGjQoMJjjz1WZ/4rr7xS6N+/f+Gtt96qGfvrX/9aGDBgQKG8vLyxl5dKQ/eiUCgUpkyZUrjtttuaa4lplJeXF6ZOnVoYMmRI4ayzzipccsklHznXOdG0GrIXhYJzoim8/fbbhf79+xeWLVtWM1ZdXV0488wzC3Pnzq0z/7HHHiucdNJJhY0bN9aMPfTQQ4Vhw4YVduzY0Sxrbusa/TLBypUr4z//+U+MHDmyZqxr165xwgknxEsvvVRn/rJly6KkpCT69etXMzZixIgoKiqKl19+ubGXl0pD9yJi73dBH94LGsfrr78e7dq1i0cffTQGDx78sXOdE02rIXsR4ZxoCocffnj87Gc/i5NPPrlmrKioKIqKimLz5s115i9btixOPPHEOOyww2rGvvCFL0RVVVW88cYbzbLmtq7RY6C8vDwiIvr06VNr/Igjjqi57cMqKirqzG3fvn1069Yt1q1b19jLS6Whe7Fp06aoqKiIZcuWxbnnnhujRo2K0tLSWL16dbOsty0bM2ZMzJ8/P/r27fuJc50TTashe+GcaBpdu3aNL33pS7UuVT799NPxzjvvxOmnn15nfnl5efTu3bvW2BFHHBER4ZxoJI0eA/ve5PTf16MPOeSQ2LFjx37n7+/a9UfNp/4auhdvvvlmREQUCoW44447Yu7cubFjx464+OKLY8OGDU2/YCLCOdGaOCeaxyuvvBI/+MEPYuzYsTF69Og6t2/fvn2/X8ciwjnRSBr9DYQdOnSIiIidO3fW/D1i74Z17Nhxv/N37txZZ3zHjh1x6KGHNvbyUmnoXpx66qnx/PPPx+GHHx5FRUUREbFgwYIYPXp0PPzww3HFFVc0z8KTc060Hs6JpvfMM8/EddddF8OGDYvZs2fvd87+zol9EeCcaByN/srAvpc3169fX2t8/fr10atXrzrze/fuXWfuzp07Y+PGjTUvA/HpNHQvIva+Q3rfF72IiI4dO8ZRRx0VFRUVTbdQanFOtC7Oiabzq1/9Kq6++ur48pe/HIsWLar5bv+/7e+c2Pf/H/W1jIZp9BgYOHBgdO7cOZYuXVoztnnz5lixYkUMHz68zvzhw4dHeXl5vPPOOzVjL774YkREnHLKKY29vFQauhdlZWVx2mmnxdatW2vGqqqq4u23347jjjuuWdaMc6I1cU40nQcffDBuu+22mDhxYsyZM2e/l8b2GT58eKxYsSKqqqpqxl544YXo1KlTDBw4sDmW2+Y1egy0b98+Lrnkkpg9e3b88Y9/jJUrV8a1114bvXv3jrFjx8aePXuisrIytm/fHhERgwcPjmHDhsW1114br732Wrzwwgtx8803x9e//nXF9xk1dC/OOOOMqK6uju9///vx5ptvxj/+8Y+4+uqro3v37nH++ee38NG0Xc6J1sM50TxWr14ds2bNiq985SsxderU2LBhQ1RWVkZlZWVs2bIldu7cGZWVlTWXBs4888woKSmJadOmxcqVK+OZZ56JOXPmxHe+852PjQjqr0l+AuE111wTF1xwQdx4440xYcKEOOigg+Lee++Ndu3axbp162LUqFHx+9//PiL2fpxkwYIFcdRRR8Wll14a06ZNizPOOCNmzpzZFEtLpyF70adPn7jvvvti69atMWHChPj2t78dXbp0ifvvv/8jX77js3NOtB7Oiebx9NNPx65du+IPf/hDjBo1qtaf22+/PZYvXx6jRo2K5cuXR8TeNwvec889UV1dHRdddFHceuutcfHFF0dpaWkLH0nbUVQoFAotvQgAoOX4RUUAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODACfmU8oQ+NYvHhxTJo0qcH3+93vfhdf+9rX4uSTT45x48bFk08+2aD7iwE4gE2aNCkGDBhQ82fgwIExdOjQOP/88+P++++P3bt3N+jxbrjhhhgzZszHznn44YdjwIABsWbNmojY+5v9JkyY8KmPAdhryZIlMXfu3Abf75FHHokZM2bExIkT44knnohzzjknpk+fXvNDm+qj0X9rIdC8TjjhhLjlllsiYu+P0920aVM8++yzcccdd8SyZcti7ty5UVzceN0/evToKCsrq/mlSU899VSDvugAtVVUVMQtt9wSS5cujWOOOaZB9y0UCjFv3rz41re+FRMnToyIiCuvvDKWLVsWL774YgwdOrRejyMG4ADXuXPnGDJkSK2xMWPGxLHHHhu33357PP7443Heeec12vN17949unfv3miPB9m9/vrr0a5du3j00Ufj7rvvjrVr19a6/c9//nPMnz8/3nrrrejVq1eMGzcuSktLo3379rF69epYu3ZtnHvuubXuc++99zZoDS4TQBt1ySWXRK9eveKhhx6qGfv1r38d48aNi5NOOilGjx4d8+fPjz179tS5b1lZWYwePToGDRoUl156aaxYsaLmtg9fJpg/f34sWLAgIiIGDBgQ8+fPb/oDgzZmzJgxMX/+/Ojbt2+d25599tmYNm1aXHTRRfH444/HLbfcEk8++WR873vfi4i9v/QpImLr1q0xefLkGDlyZFx44YXxpz/9qUFrEAPQRhUXF8fIkSPjtddei927d8fixYvjpptuipEjR8aiRYti4sSJ8fOf/zxuuummWvcrLy+PBQsWxLRp02LOnDmxadOmmDRpUrz//vt1nuPCCy+MCy64ICL2BsSFF17YLMcGWSxatCguuuii+OY3vxlHH310jBo1Km699dZ46qmnYs2aNTW/1vn666+Pc845J37xi1/EF7/4xSgtLY3nn3++3s/jMgG0YT179oxdu3ZFRUVFLFy4MMaPHx833nhjRESMGjUqunXrFjfeeGNcdtllcfzxx0fE3vcd3H333TFo0KCI2Psrlc8888x44IEH4vrrr6/1+L17947evXtHRNS5VAF8ditWrIjXXnstfvOb39SM7fv0zr/+9a9o165dRERMnjw5vvGNb0RExOc///lYsWJF/PKXv4yRI0fW63nEALRh+75ovPTSS7F9+/YYM2ZMrU8Y7PvkwHPPPVcTA3379q0JgYiIkpKSGDJkSLz00kvNuHIgIqK6ujqmTJlS8w/9h5WUlMQbb7wRERH9+/evddtxxx0Xf/nLX+r9PGIA2rCKioro0KFDzacJrrjiiv3OW79+fc3fe/bsWef2Hj16xLp165pmkcBHOv7442P16tXxuc99rmZs6dKlcf/998fMmTPjxBNPjE6dOsWrr74ap556as2cVatWxdFHH13v5xED0Ebt3r07li5dGsOGDYuuXbtGRMTs2bP3+9GlDwfApk2b6txeWVnpEwTQAi6//PKYNm1aLFiwIMaNGxfl5eUxY8aMOOqoo6KkpCQiIqZMmRJ333139OrVKwYNGhRPPPFEPPfcc3HffffV+3nEALRRZWVlUVlZGTfffHMMHjw42rVrFxUVFbU+gvTGG2/Ej3/84ygtLY0+ffpExN53J7/77rs131WsW7culi9fHpMnT97v8zTmzzAAajvrrLPirrvuisWLF8eiRYuiW7duMWbMmLjuuutq5pSWlkbHjh3jrrvuioqKiujXr1/Mnz8/TjvttHo/jxiAA1xVVVX8/e9/j4i91xc/+OCD+Nvf/hZlZWVx3nnnxdixYyNi73cP8+bNi6qqqjjttNOioqIi5s2bF0VFRTFw4MCaxzvkkEPiyiuvjGuvvTb27NkT8+bNi27dusWll1663+ff96rD448/HoMHD97vx6OA+rnzzjvrjJ199tlx9tlnf+z9Lrvssrjssss+9fOKATjArVixIsaPHx8REUVFRdGpU6fo379/zJw5s9ZH/aZNmxYlJSXx4IMPxj333BOHHXZYjBw5MqZPnx5dunSpmXfCCSfEV7/61Zg5c2Zs2bIlRo4cGT/84Q8/8jLB2LFj45FHHokbbrghLrjggpg5c2aTHi/Q+IoKfsMIAKTmYh8AJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOTEAAAkJwYAIDkxAADJiQEASO7/A1FLDkRvZxFQAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=monthly_summary['Debit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "763a6a34-fafd-45cc-b5fe-c13e4cf7c8e8",
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>4</td>\n",
       "      <td>11651.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022</td>\n",
       "      <td>5</td>\n",
       "      <td>11909.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022</td>\n",
       "      <td>6</td>\n",
       "      <td>27412.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022</td>\n",
       "      <td>7</td>\n",
       "      <td>314291.0</td>\n",
       "      <td>571381.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022</td>\n",
       "      <td>8</td>\n",
       "      <td>300852.0</td>\n",
       "      <td>66933.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022</td>\n",
       "      <td>9</td>\n",
       "      <td>79477.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022</td>\n",
       "      <td>10</td>\n",
       "      <td>54336.0</td>\n",
       "      <td>377174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>142250.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>252184.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>81249.0</td>\n",
       "      <td>162797.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>59831.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>2300009.0</td>\n",
       "      <td>31063.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year  month      Debit    Credit\n",
       "0   2022      4    11651.0       0.0\n",
       "1   2022      5    11909.0   50000.0\n",
       "2   2022      6    27412.0       0.0\n",
       "3   2022      7   314291.0  571381.0\n",
       "4   2022      8   300852.0   66933.0\n",
       "5   2022      9    79477.0   50000.0\n",
       "6   2022     10    54336.0  377174.0\n",
       "7   2022     11   142250.0   50000.0\n",
       "8   2022     12   252184.0   50000.0\n",
       "9   2023      1    81249.0  162797.0\n",
       "10  2023      2    59831.0   50000.0\n",
       "11  2023      3  2300009.0   31063.0"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "d2dc61d2-b626-4dc0-8e0b-fa31cc21fb46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Credit'>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Jo+uJ+GS8S5cujaIoYunSpaVtnzrllFOie/fuja65qc9RDp07d46ZM2dGZWVlRERs2bIlnnzyyejRo0f07t3bmjsAixcvjrlz58ZPfvKTRtvN3RdbsWJF9OrVa5/7zF3LV5YYeO+99yIiomfPno22H3/88aV9h4tRo0bFQw89FF/5ylf22vfee+9Fjx49Gm07/vjjIyJi3bp1BzRPzXGO5tapU6f4+te/HkcccURp2wsvvBD//ve/Y8SIEZ873h07dsT7778f69evjy5dusSRRx651zH7u+Yv8xzldtddd8Xw4cNj/vz5MW3atGjfvr01tx/btm2LH/zgB/GjH/1or/Gbuy+2cuXK2LJlS4wfPz7OPvvsuPzyy+Mvf/lLRJi7Q0FZYmDHjh0REY2+2UdEHHnkkVFfX1+OIZXFxx9/vM85iPjkl9cOZJ6a4xzl9tprr8Udd9wRY8aMiZEjR+5zvJ/e3rlzZ+zYsWOv/RH7v+Yv+xzldvXVV8e8efPioosuiptuuineeOMNa24/7rnnnqiuro6xY8futc/cfb7du3fH6tWrY+vWrXHLLbfEY489FoMGDYrrrrsuFixYYO4OAW32f8iXr127dhHxyTfMT/8e8cl/jKOOOqocQyqLdu3a7fVD49MF2b59+wOap+Y4Rzm9+OKLcfvtt8fgwYNjxowZEfHJF+9/jvfT20cdddQ+ryei8TU3xznKrXfv3hERMW3atFi2bFnMnj3bmvsCzz33XCxZsiSef/75fe43d5+vTZs28eqrr0br1q1L4+7fv3+sWrUqZs2aZe4OAWV5ZODTh3E2bNjQaPuGDRuie/fu5RhSWfTo0WOfcxAR0b179wOap+Y4R7nMnj07brnlljj//PPj0UcfLRV8z5499zne9u3bR8eOHaNHjx5RV1e31xf9Z6+5Oc5RDlu2bIn58+fH7t27S9sqKiqid+/esWHDBmvuC8ybNy82b94cI0eOjOrq6qiuro6IiKlTp8a1115r7vbj6KOPbvRDOCLi1FNPjfXr15u7Q0BZYqBPnz7RoUOHePXVV0vbtm3bFm+++WYMGTKkHEMqiyFDhsTSpUtjz549pW0LFy6MU045Jbp27XpA89Qc5yiH3/72t/HjH/84xo8fHw888ECjh/bOPPPMWLRoUaPjFy5cGIMHD46Kioo444wzoqGhofRLgBGfvGZ8/fr1pWtujnOUw6ZNm6KmpiYWLFhQ2rZr16548803o1evXtbcF5gxY0b84Q9/iOeee670ERHxve99L6ZNm2buvsCqVati8ODBjcYdEfH6669H7969zd2hoFwvY3jggQeKoUOHFi+++GKj14Pu3LmzXENqcpMnT2700sJNmzYVQ4YMKSZPnlysWrWqmDdvXlFVVVU8++yzpWP2N0/NdY7mtHr16qJfv37FTTfd1Oj1yhs2bCi2bdtWrFy5sujXr19x//33F7W1tcWsWbP2en1/TU1NMWrUqGLhwoWlfyPgs3PfXOcoh2uvvbYYM2ZMsWjRomLFihVFTU1NMWTIkGLt2rXW3P/RZ19aaO4+3549e4pvfetbxYUXXlgsXry4qK2tLaZPn17079+/WLFihbk7BJQtBnbv3l387Gc/K4YNG1YMGjSomDhxYrFmzZpyDadZ/GcMFEVRLFu2rLjsssuK/v37F+eff37xm9/8ptH+A5mn5jhHc/rlL39ZVFZW7vNj8uTJRVEUxZ///OfioosuKvr3719ccMEFxfz58xud46OPPiruvPPO4swzzyzOPPPMoqamptiyZUujY5rjHOWwbdu2YurUqcU555xTDBgwoJgwYUKxcuXK0n5r7sB9NgaKwtx9kY0bNxZTpkwpzjnnnKKqqqoYN25csXjx4tJ+c9eytSqKMr0gGgBoEbxREQAkJwYAIDkxAADJiQEASE4MAEByYgAAkhMDwJfOK5bh0CIG4BD2z3/+MyZNmhQjR46MAQMGxOjRo+Ouu+6KNWvWNNnnfOihh+K0004r3Z4yZUqMGjWqdPtPf/pTTJ48uck+P/DlEwNwiJozZ0585zvfic2bN8dtt90Wjz/+eFx33XWxaNGiuPTSS2P58uXNMo4bb7wxHn744dLtJ598Mv17w8OhpixvYQz8d5YuXRrTpk2L8ePHx5133lnaftZZZ8Xo0aPj4osvjh/+8Ifx7LPPNvlYvvrVrzb55wCalkcG4BA0a9as6NixY9TU1Oy179hjj40pU6bEN77xjdi+fXuMGjUqpk+fHldffXUMGDCgFA91dXVx9913x9lnnx1VVVVx2WWXNXq3w4hP3uv9vvvui3POOSeqq6vjjjvuKL3/+6c++zTBlVdeGYsWLYpFixbFaaedtte72AEtk0cG4BBTFEX87W9/i1GjRsVRRx21z2MuvPDCRrfnzJkT11xzTUycODGOPvroqK+vj6uvvjo2bdoUt956axx//PExb968uPbaa+OJJ56I4cOHR0TEpEmT4q9//WvceuutcfLJJ8fcuXPj+eef/9yxTZ06NSZNmlT6e+/evb+kqwaakhiAQ8z7778f9fX1cdJJJx3wfU444YS4/fbbS7effvrpWL58eTz99NMxcODAiIg477zz4sorr4wZM2bEvHnzYtWqVfHCCy/EPffcE5dffnlERIwYMSLGjh0btbW1+/w8vXv3jg4dOkRExKBBgw7yCoHm5mkCOMS0bt06IiL27NlzwPc5/fTTG91esGBBHHfccdGvX7/YvXt37N69O/bs2RPnn39+vP7667F169ZYsmRJRESjVwpUVFTEN7/5zS/hKoCWxCMDcIjp3LlzHH300fHuu+9+7jHbt2+PXbt2RefOnSMion379o3219XVxcaNG6Nfv377vP/GjRtj69atERHRpUuXRvuOO+64/2b4QAskBuAQdO6558arr74a9fX1ceSRR+61/+mnn46f/vSn8cwzz+zz/h07doyvfe1rMWPGjH3uP+mkk0oRsGnTpjjhhBNK++rq6v77CwBaFE8TwCFowoQJUVdXFw8++OBe+zZu3Bi//vWvo3fv3p/7f/5Dhw6NdevWRdeuXaOqqqr08fe//z2eeOKJaN26dQwbNiwiIv74xz82uu9LL730hWOrqPBtBQ41HhmAQ9CgQYPi+9//fjz44IPx9ttvx8UXXxxdunSJVatWxaxZs6K+vn6fofCpSy65JGbPnh3XXHNN3HDDDdGzZ8945ZVX4vHHH48rrrgi2rZtGyeffHKMGzcufv7zn8fu3bvj9NNPj9/97nexYsWKLxxbp06d4h//+EcsWLAg+vbtW3qqAmi5xAAcor773e9G3759Y86cOTF9+vTYunVr9OzZM0aOHFn6Af952rdvH3PmzImZM2fG/fffHx988EGceOKJcdttt8WECRNKx02dOjW6desWs2fPjq1bt8aIESPihhtu+MLQGD9+fLz++usxceLEuO+++2Ls2LFf5mUDTaBV4R1FACA1T+4BQHJiAACSEwMAkJwYAIDkxAAAJCcGACA5MQAAyYkBAEhODABAcmIAAJITAwCQnBgAgOT+H85fuV+1OS06AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=monthly_summary['Credit'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "a8bc7652-801a-4b57-bab6-a416f463a8e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Outliers in Debit:\n",
      "    year  month      Debit   Credit\n",
      "11  2023      3  2300009.0  31063.0\n",
      "\n",
      "Outliers in Credit:\n",
      "   year  month     Debit    Credit\n",
      "3  2022      7  314291.0  571381.0\n",
      "6  2022     10   54336.0  377174.0\n",
      "9  2023      1   81249.0  162797.0\n"
     ]
    }
   ],
   "source": [
    "Q1 = monthly_summary['Debit'].quantile(0.25)\n",
    "Q3 = monthly_summary['Debit'].quantile(0.75)\n",
    "IQR = Q3 - Q1\n",
    "lower_bound = Q1 - 1.5 * IQR\n",
    "upper_bound = Q3 + 1.5 * IQR\n",
    "df_outliers_debit = monthly_summary[(monthly_summary['Debit'] < lower_bound) | (monthly_summary['Debit'] > upper_bound)]\n",
    "\n",
    "Q1_c = monthly_summary['Credit'].quantile(0.25)\n",
    "Q3_c = monthly_summary['Credit'].quantile(0.75)\n",
    "IQR_c = Q3_c - Q1_c\n",
    "lower_bound_c = Q1_c - 1.5 * IQR_c\n",
    "upper_bound_c = Q3_c + 1.5 * IQR_c\n",
    "df_outliers_credit = monthly_summary[(monthly_summary['Credit'] < lower_bound_c) | (monthly_summary['Credit'] > upper_bound_c)]\n",
    "\n",
    "print(\"Outliers in Debit:\")\n",
    "print(df_outliers_debit)\n",
    "print(\"\\nOutliers in Credit:\")\n",
    "print(df_outliers_credit)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "466d3401-d22f-4c8f-9289-c1756882b4e1",
   "metadata": {},
   "source": [
    "### PREPROCESING 2ND TALLY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "fa7aa801-97fb-4bd4-8702-307a827e9187",
   "metadata": {},
   "outputs": [],
   "source": [
    "date =df2['Date'].dt.day\n",
    "month =df2['Date'].dt.month\n",
    "year=df2['Date'].dt.year\n",
    "df2.insert(1,'date',date)\n",
    "df2.insert(2,'month',month)\n",
    "df2.insert(3,'year',year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "3c1b5124-c5cc-4b4a-91ab-b26a78045da9",
   "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>Date</th>\n",
       "      <th>date</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>Particulars</th>\n",
       "      <th>Vch Type</th>\n",
       "      <th>Vch No.</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-04-04</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2023</td>\n",
       "      <td>Printing Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>1</td>\n",
       "      <td>18.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-04-13</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>2023</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>2</td>\n",
       "      <td>130.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-04-15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>RCP LUC - BANK</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>170000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-04-20</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>2023</td>\n",
       "      <td>O/S Liabilities (2022-23)</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>589.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-04-24</td>\n",
       "      <td>24</td>\n",
       "      <td>4</td>\n",
       "      <td>2023</td>\n",
       "      <td>AXIS - Lucknow - 913010001710740</td>\n",
       "      <td>Contra</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30000.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Internet Expenses</td>\n",
       "      <td>Journal</td>\n",
       "      <td>12</td>\n",
       "      <td>943.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>Journal</td>\n",
       "      <td>13</td>\n",
       "      <td>766452.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>Journal</td>\n",
       "      <td>14</td>\n",
       "      <td>116500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Branch Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>15</td>\n",
       "      <td>14600.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow Operation Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>16</td>\n",
       "      <td>1118624.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>445 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  date  month  year                       Particulars  \\\n",
       "0   2023-04-04     4      4  2023                 Printing Expenses   \n",
       "1   2023-04-13    13      4  2023                   Courier Charges   \n",
       "2   2023-04-15    15      4  2023                   Lucknow - Delhi   \n",
       "3   2023-04-20    20      4  2023         O/S Liabilities (2022-23)   \n",
       "4   2023-04-24    24      4  2023  AXIS - Lucknow - 913010001710740   \n",
       "..         ...   ...    ...   ...                               ...   \n",
       "440 2024-03-31    31      3  2024                 Internet Expenses   \n",
       "441 2024-03-31    31      3  2024                   Lucknow - Delhi   \n",
       "442 2024-03-31    31      3  2024                   Lucknow - Delhi   \n",
       "443 2024-03-31    31      3  2024                       Branch Fund   \n",
       "444 2024-03-31    31      3  2024            Lucknow Operation Fund   \n",
       "\n",
       "           Vch Type  Vch No.      Debit    Credit  \n",
       "0    PMT LUC - CASH        1       18.0       0.0  \n",
       "1    PMT LUC - CASH        2      130.0       0.0  \n",
       "2    RCP LUC - BANK        1        0.0  170000.0  \n",
       "3    PMT LUC - CASH        3      589.0       0.0  \n",
       "4            Contra        1        0.0   30000.0  \n",
       "..              ...      ...        ...       ...  \n",
       "440         Journal       12      943.0       0.0  \n",
       "441         Journal       13   766452.0       0.0  \n",
       "442         Journal       14   116500.0       0.0  \n",
       "443         Journal       15    14600.0       0.0  \n",
       "444         Journal       16  1118624.0       0.0  \n",
       "\n",
       "[445 rows x 9 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2=df2.fillna(0)\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "f86c1015-a38b-41b7-a291-863500d63399",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>date</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>Particulars</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-04-01</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Computer - Software</td>\n",
       "      <td>Journal</td>\n",
       "      <td>1</td>\n",
       "      <td>614.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-04</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
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       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>2</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Machinery, Equipment &amp; Vehicles</td>\n",
       "      <td>Journal</td>\n",
       "      <td>16</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Donation in Kind - Assets</td>\n",
       "      <td>Journal</td>\n",
       "      <td>17</td>\n",
       "      <td>200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi (EPF)</td>\n",
       "      <td>Journal</td>\n",
       "      <td>18</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Branch Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>19</td>\n",
       "      <td>36301.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow Operation Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>20</td>\n",
       "      <td>505535.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>240 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  date  month  year                      Particulars  \\\n",
       "0   2022-04-01     1      4  2022              Computer - Software   \n",
       "1   2022-04-04     4      4  2022            Rep & Maint - General   \n",
       "2   2022-04-15    15      4  2022                  Courier Charges   \n",
       "3   2022-04-17    17      4  2022                  Garden Expenses   \n",
       "4   2022-04-17    17      4  2022            Rep & Maint - General   \n",
       "..         ...   ...    ...   ...                              ...   \n",
       "235 2023-03-31    31      3  2023  Machinery, Equipment & Vehicles   \n",
       "236 2023-03-31    31      3  2023        Donation in Kind - Assets   \n",
       "237 2023-03-31    31      3  2023            Lucknow - Delhi (EPF)   \n",
       "238 2023-03-31    31      3  2023                      Branch Fund   \n",
       "239 2023-03-31    31      3  2023           Lucknow Operation Fund   \n",
       "\n",
       "           Vch Type  Vch No.     Debit  Credit  \n",
       "0           Journal        1     614.0     0.0  \n",
       "1    PMT LUC - CASH        1     200.0     0.0  \n",
       "2    PMT LUC - CASH        2     120.0     0.0  \n",
       "3    PMT LUC - CASH        3     360.0     0.0  \n",
       "4    PMT LUC - CASH        4    2000.0     0.0  \n",
       "..              ...      ...       ...     ...  \n",
       "235         Journal       16     200.0     0.0  \n",
       "236         Journal       17     200.0     0.0  \n",
       "237         Journal       18    3300.0     0.0  \n",
       "238         Journal       19   36301.0     0.0  \n",
       "239         Journal       20  505535.0     0.0  \n",
       "\n",
       "[240 rows x 9 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2a99cff-a475-4528-b594-163cadb4f8e5",
   "metadata": {},
   "source": [
    "## MAKING A THIRD DATA SET FOR COMMON PARTICULARS IS BOTH THE DATA SET "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "4fdb1aa8-3867-4484-aaf6-580ab4e3d4b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Find common Particulars\n",
    "common_particulars = list(set(df1['Particulars']).intersection(set(df2['Particulars'])))\n",
    "\n",
    "# Create a third data frame with values of common Particulars\n",
    "df3 = pd.concat([df1[df1['Particulars'].isin(common_particulars)],df2[df2['Particulars'].isin(common_particulars)]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "48c92ba5-5f68-4d7b-a2c8-6db7ea43e4eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Courier Charges', 'Meditational Aids - Expenses', 'Machinery, Equipment & Vehicles', 'Lucknow - Delhi', 'AXIS - Lucknow - 913010001710740', 'Printing Expenses', 'Stationery Expenses', 'Hiring Charges - Pandals,Tents,Utensils Etc.', 'Assets of Rs 5000 Or Below', 'Photocopying Expenses', 'Audio Visuals', 'Salaries', 'Garden Expenses', 'Rep & Maint - General', 'Housekeeping Comsumables', 'Rent', 'Assistance for Educational Fees', 'Food Expenses', 'Book Fair Expenses', 'Rep & Maint - Machinery & Equipments', 'Internet Expenses', 'Interest - Savings', 'Conveyance Expenses', 'Electricity Expenses', 'Lucknow Operation Fund', 'Rep & Maint - Computers']\n"
     ]
    }
   ],
   "source": [
    "print(common_particulars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "9b4e3a20-bab4-4ef7-b7bd-cda5591a5fd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>date</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-04-04</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>1</td>\n",
       "      <td>200.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>15</td>\n",
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       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
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       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-04-17</td>\n",
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       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-04-17</td>\n",
       "      <td>17</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>2000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-04-21</td>\n",
       "      <td>21</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Electricity Expenses</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>1</td>\n",
       "      <td>1168.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>Journal</td>\n",
       "      <td>11</td>\n",
       "      <td>1086742.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Internet Expenses</td>\n",
       "      <td>Journal</td>\n",
       "      <td>12</td>\n",
       "      <td>943.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>Journal</td>\n",
       "      <td>13</td>\n",
       "      <td>766452.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>Journal</td>\n",
       "      <td>14</td>\n",
       "      <td>116500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>2024-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow Operation Fund</td>\n",
       "      <td>Journal</td>\n",
       "      <td>16</td>\n",
       "      <td>1118624.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>615 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  date  month  year             Particulars        Vch Type  \\\n",
       "1   2022-04-04     4      4  2022   Rep & Maint - General  PMT LUC - CASH   \n",
       "2   2022-04-15    15      4  2022         Courier Charges  PMT LUC - CASH   \n",
       "3   2022-04-17    17      4  2022         Garden Expenses  PMT LUC - CASH   \n",
       "4   2022-04-17    17      4  2022   Rep & Maint - General  PMT LUC - CASH   \n",
       "6   2022-04-21    21      4  2022    Electricity Expenses  PMT LUC - BANK   \n",
       "..         ...   ...    ...   ...                     ...             ...   \n",
       "439 2024-03-31    31      3  2024         Lucknow - Delhi         Journal   \n",
       "440 2024-03-31    31      3  2024       Internet Expenses         Journal   \n",
       "441 2024-03-31    31      3  2024         Lucknow - Delhi         Journal   \n",
       "442 2024-03-31    31      3  2024         Lucknow - Delhi         Journal   \n",
       "444 2024-03-31    31      3  2024  Lucknow Operation Fund         Journal   \n",
       "\n",
       "     Vch No.      Debit  Credit  \n",
       "1          1      200.0     0.0  \n",
       "2          2      120.0     0.0  \n",
       "3          3      360.0     0.0  \n",
       "4          4     2000.0     0.0  \n",
       "6          1     1168.0     0.0  \n",
       "..       ...        ...     ...  \n",
       "439       11  1086742.0     0.0  \n",
       "440       12      943.0     0.0  \n",
       "441       13   766452.0     0.0  \n",
       "442       14   116500.0     0.0  \n",
       "444       16  1118624.0     0.0  \n",
       "\n",
       "[615 rows x 9 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "5228f280-63bf-433c-84f5-9abb0dfee2a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Particulars\n",
       "Food Expenses                                   102\n",
       "Housekeeping Comsumables                         92\n",
       "Rep & Maint - General                            46\n",
       "Garden Expenses                                  44\n",
       "Salaries                                         44\n",
       "Courier Charges                                  44\n",
       "Lucknow - Delhi                                  39\n",
       "AXIS - Lucknow - 913010001710740                 29\n",
       "Internet Expenses                                26\n",
       "Electricity Expenses                             23\n",
       "Meditational Aids - Expenses                     23\n",
       "Stationery Expenses                              17\n",
       "Machinery, Equipment & Vehicles                  13\n",
       "Printing Expenses                                 9\n",
       "Hiring Charges - Pandals,Tents,Utensils Etc.      8\n",
       "Interest - Savings                                8\n",
       "Book Fair Expenses                                7\n",
       "Rep & Maint - Machinery & Equipments              7\n",
       "Audio Visuals                                     6\n",
       "Conveyance Expenses                               5\n",
       "Rent                                              5\n",
       "Assistance for Educational Fees                   5\n",
       "Photocopying Expenses                             4\n",
       "Assets of Rs 5000 Or Below                        4\n",
       "Rep & Maint - Computers                           3\n",
       "Lucknow Operation Fund                            2\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3['Particulars'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "f49b3e85-e7d5-40af-b66f-502376109b29",
   "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>index</th>\n",
       "      <th>Date</th>\n",
       "      <th>date</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>Particulars</th>\n",
       "      <th>Vch Type</th>\n",
       "      <th>Vch No.</th>\n",
       "      <th>Debit</th>\n",
       "      <th>Credit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>368</td>\n",
       "      <td>2024-01-12</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>2024</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>298</td>\n",
       "      <td>7800.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>97</td>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>2022</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>8</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>405</td>\n",
       "      <td>2024-02-27</td>\n",
       "      <td>27</td>\n",
       "      <td>2</td>\n",
       "      <td>2024</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>RCP LUC - BANK</td>\n",
       "      <td>11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>52</td>\n",
       "      <td>2023-06-30</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>42</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>378</td>\n",
       "      <td>2024-01-16</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>2024</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>306</td>\n",
       "      <td>130.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>264</td>\n",
       "      <td>2023-09-30</td>\n",
       "      <td>30</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>222</td>\n",
       "      <td>7140.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>272</td>\n",
       "      <td>2023-10-01</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>Interest - Savings</td>\n",
       "      <td>RCP LUC - BANK</td>\n",
       "      <td>9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5408.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>43</td>\n",
       "      <td>2022-07-14</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>2022</td>\n",
       "      <td>Hiring Charges - Pandals,Tents,Utensils Etc.</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>35</td>\n",
       "      <td>3920.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>294</td>\n",
       "      <td>2023-10-20</td>\n",
       "      <td>20</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>239</td>\n",
       "      <td>184.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>305</td>\n",
       "      <td>2023-11-06</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>34</td>\n",
       "      <td>600.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>241</td>\n",
       "      <td>2023-09-25</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Rent</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>209</td>\n",
       "      <td>1710.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>75</td>\n",
       "      <td>2023-07-17</td>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>2023</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>61</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>31</td>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>2023</td>\n",
       "      <td>Assistance for Educational Fees</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>4</td>\n",
       "      <td>9200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>198</td>\n",
       "      <td>2023-03-05</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>24</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>2023-05-07</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2023</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>12</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>161</td>\n",
       "      <td>2023-01-05</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>18</td>\n",
       "      <td>15000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>19</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>2022</td>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>17</td>\n",
       "      <td>3300.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>287</td>\n",
       "      <td>2023-10-15</td>\n",
       "      <td>15</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>Assistance for Educational Fees</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>30</td>\n",
       "      <td>10200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>384</td>\n",
       "      <td>2024-02-04</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2024</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>44</td>\n",
       "      <td>15100.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>335</td>\n",
       "      <td>2023-12-16</td>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>2023</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>273</td>\n",
       "      <td>940.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>225</td>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Interest - Savings</td>\n",
       "      <td>RCP LUC - BANK</td>\n",
       "      <td>8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1063.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>74</td>\n",
       "      <td>2022-08-16</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>2022</td>\n",
       "      <td>Internet Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>61</td>\n",
       "      <td>589.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>145</td>\n",
       "      <td>2023-09-06</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>117</td>\n",
       "      <td>227.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>13</td>\n",
       "      <td>2023-05-07</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2023</td>\n",
       "      <td>Meditational Aids - Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>11</td>\n",
       "      <td>380.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2</td>\n",
       "      <td>2022-04-15</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>2</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>232</td>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>Journal</td>\n",
       "      <td>13</td>\n",
       "      <td>895787.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>149</td>\n",
       "      <td>2022-12-08</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>119</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>183</td>\n",
       "      <td>2023-02-05</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>22</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>44</td>\n",
       "      <td>2023-06-15</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>2023</td>\n",
       "      <td>Electricity Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>35</td>\n",
       "      <td>11272.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>371</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>2024</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>301</td>\n",
       "      <td>4935.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>143</td>\n",
       "      <td>2022-12-05</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2022</td>\n",
       "      <td>AXIS - Lucknow - 913010001710740</td>\n",
       "      <td>Contra</td>\n",
       "      <td>7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>281</td>\n",
       "      <td>2023-10-09</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>Meditational Aids - Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>231</td>\n",
       "      <td>426.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>253</td>\n",
       "      <td>2023-09-26</td>\n",
       "      <td>26</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>Journal</td>\n",
       "      <td>1</td>\n",
       "      <td>96000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>333</td>\n",
       "      <td>2023-12-11</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>2023</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>271</td>\n",
       "      <td>130.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>66</td>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2022</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>55</td>\n",
       "      <td>5674.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>88</td>\n",
       "      <td>2023-07-26</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>2023</td>\n",
       "      <td>Electricity Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>72</td>\n",
       "      <td>13795.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>23</td>\n",
       "      <td>2022-06-20</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>2022</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>21</td>\n",
       "      <td>750.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>312</td>\n",
       "      <td>2023-11-16</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>2023</td>\n",
       "      <td>Internet Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>253</td>\n",
       "      <td>943.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>321</td>\n",
       "      <td>2023-12-04</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>2023</td>\n",
       "      <td>Lucknow - Delhi</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>36</td>\n",
       "      <td>500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>418</td>\n",
       "      <td>2024-03-06</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2024</td>\n",
       "      <td>Book Fair Expenses</td>\n",
       "      <td>PMT LUC - BANK</td>\n",
       "      <td>48</td>\n",
       "      <td>26500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>391</td>\n",
       "      <td>2024-02-05</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2024</td>\n",
       "      <td>Rep &amp; Maint - Machinery &amp; Equipments</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>314</td>\n",
       "      <td>5200.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>222</td>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>172</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>185</td>\n",
       "      <td>2023-02-05</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>143</td>\n",
       "      <td>5473.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>86</td>\n",
       "      <td>2022-09-04</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>2022</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>71</td>\n",
       "      <td>4418.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>175</td>\n",
       "      <td>2023-09-17</td>\n",
       "      <td>17</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>144</td>\n",
       "      <td>300.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>82</td>\n",
       "      <td>2023-07-23</td>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>2023</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>68</td>\n",
       "      <td>2353.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>122</td>\n",
       "      <td>2022-11-10</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>2022</td>\n",
       "      <td>Courier Charges</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>99</td>\n",
       "      <td>120.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>268</td>\n",
       "      <td>2023-10-01</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>224</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>203</td>\n",
       "      <td>2023-03-05</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2023</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>158</td>\n",
       "      <td>440.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>304</td>\n",
       "      <td>2023-11-06</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>2023</td>\n",
       "      <td>AXIS - Lucknow - 913010001710740</td>\n",
       "      <td>Contra</td>\n",
       "      <td>11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>87</td>\n",
       "      <td>2023-07-26</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>2023</td>\n",
       "      <td>Rep &amp; Maint - General</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>71</td>\n",
       "      <td>3100.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>98</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2023</td>\n",
       "      <td>Salaries</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>80</td>\n",
       "      <td>5000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>89</td>\n",
       "      <td>2023-07-26</td>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>73</td>\n",
       "      <td>4000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>170</td>\n",
       "      <td>2023-09-16</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Housekeeping Comsumables</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>140</td>\n",
       "      <td>1700.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>398</td>\n",
       "      <td>2024-02-20</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>2024</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>321</td>\n",
       "      <td>941.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>139</td>\n",
       "      <td>2023-09-04</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Machinery, Equipment &amp; Vehicles</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>111</td>\n",
       "      <td>7000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>256</td>\n",
       "      <td>2023-09-28</td>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>AXIS - Lucknow - 913010001710740</td>\n",
       "      <td>Contra</td>\n",
       "      <td>9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>171</td>\n",
       "      <td>2023-09-16</td>\n",
       "      <td>16</td>\n",
       "      <td>9</td>\n",
       "      <td>2023</td>\n",
       "      <td>Garden Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>141</td>\n",
       "      <td>500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>323</td>\n",
       "      <td>2023-12-04</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>2023</td>\n",
       "      <td>Food Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>261</td>\n",
       "      <td>3840.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>88</td>\n",
       "      <td>2022-09-14</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>2022</td>\n",
       "      <td>Internet Expenses</td>\n",
       "      <td>PMT LUC - CASH</td>\n",
       "      <td>73</td>\n",
       "      <td>589.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index       Date  date  month  year  \\\n",
       "0     368 2024-01-12    12      1  2024   \n",
       "1      97 2022-10-01     1     10  2022   \n",
       "2     405 2024-02-27    27      2  2024   \n",
       "3      52 2023-06-30    30      6  2023   \n",
       "4     378 2024-01-16    16      1  2024   \n",
       "5     264 2023-09-30    30      9  2023   \n",
       "6     272 2023-10-01     1     10  2023   \n",
       "7      43 2022-07-14    14      7  2022   \n",
       "8     294 2023-10-20    20     10  2023   \n",
       "9     305 2023-11-06     6     11  2023   \n",
       "10    241 2023-09-25    25      9  2023   \n",
       "11     75 2023-07-17    17      7  2023   \n",
       "12     31 2023-06-01     1      6  2023   \n",
       "13    198 2023-03-05     5      3  2023   \n",
       "14     14 2023-05-07     7      5  2023   \n",
       "15    161 2023-01-05     5      1  2023   \n",
       "16     19 2022-06-01     1      6  2022   \n",
       "17    287 2023-10-15    15     10  2023   \n",
       "18    384 2024-02-04     4      2  2024   \n",
       "19    335 2023-12-16    16     12  2023   \n",
       "20    225 2023-03-31    31      3  2023   \n",
       "21     74 2022-08-16    16      8  2022   \n",
       "22    145 2023-09-06     6      9  2023   \n",
       "23     13 2023-05-07     7      5  2023   \n",
       "24      2 2022-04-15    15      4  2022   \n",
       "25    232 2023-03-31    31      3  2023   \n",
       "26    149 2022-12-08     8     12  2022   \n",
       "27    183 2023-02-05     5      2  2023   \n",
       "28     44 2023-06-15    15      6  2023   \n",
       "29    371 2024-01-14    14      1  2024   \n",
       "30    143 2022-12-05     5     12  2022   \n",
       "31    281 2023-10-09     9     10  2023   \n",
       "32    253 2023-09-26    26      9  2023   \n",
       "33    333 2023-12-11    11     12  2023   \n",
       "34     66 2022-08-01     1      8  2022   \n",
       "35     88 2023-07-26    26      7  2023   \n",
       "36     23 2022-06-20    20      6  2022   \n",
       "37    312 2023-11-16    16     11  2023   \n",
       "38    321 2023-12-04     4     12  2023   \n",
       "39    418 2024-03-06     6      3  2024   \n",
       "40    391 2024-02-05     5      2  2024   \n",
       "41    222 2023-03-31    31      3  2023   \n",
       "42    185 2023-02-05     5      2  2023   \n",
       "43     86 2022-09-04     4      9  2022   \n",
       "44    175 2023-09-17    17      9  2023   \n",
       "45     82 2023-07-23    23      7  2023   \n",
       "46    122 2022-11-10    10     11  2022   \n",
       "47    268 2023-10-01     1     10  2023   \n",
       "48    203 2023-03-05     5      3  2023   \n",
       "49    304 2023-11-06     6     11  2023   \n",
       "50     87 2023-07-26    26      7  2023   \n",
       "51     98 2023-08-01     1      8  2023   \n",
       "52     89 2023-07-26    26      7  2023   \n",
       "53    170 2023-09-16    16      9  2023   \n",
       "54    398 2024-02-20    20      2  2024   \n",
       "55    139 2023-09-04     4      9  2023   \n",
       "56    256 2023-09-28    28      9  2023   \n",
       "57    171 2023-09-16    16      9  2023   \n",
       "58    323 2023-12-04     4     12  2023   \n",
       "59     88 2022-09-14    14      9  2022   \n",
       "\n",
       "                                     Particulars        Vch Type  Vch No.  \\\n",
       "0                                  Food Expenses  PMT LUC - CASH      298   \n",
       "1                                       Salaries  PMT LUC - BANK        8   \n",
       "2                                Lucknow - Delhi  RCP LUC - BANK       11   \n",
       "3                       Housekeeping Comsumables  PMT LUC - CASH       42   \n",
       "4                                Courier Charges  PMT LUC - CASH      306   \n",
       "5                                  Food Expenses  PMT LUC - CASH      222   \n",
       "6                             Interest - Savings  RCP LUC - BANK        9   \n",
       "7   Hiring Charges - Pandals,Tents,Utensils Etc.  PMT LUC - CASH       35   \n",
       "8                       Housekeeping Comsumables  PMT LUC - CASH      239   \n",
       "9                                Lucknow - Delhi  PMT LUC - BANK       34   \n",
       "10                                          Rent  PMT LUC - CASH      209   \n",
       "11                               Courier Charges  PMT LUC - CASH       61   \n",
       "12               Assistance for Educational Fees  PMT LUC - BANK        4   \n",
       "13                                      Salaries  PMT LUC - BANK       24   \n",
       "14                                      Salaries  PMT LUC - CASH       12   \n",
       "15                                      Salaries  PMT LUC - BANK       18   \n",
       "16                               Garden Expenses  PMT LUC - CASH       17   \n",
       "17               Assistance for Educational Fees  PMT LUC - BANK       30   \n",
       "18                                      Salaries  PMT LUC - BANK       44   \n",
       "19                                 Food Expenses  PMT LUC - CASH      273   \n",
       "20                            Interest - Savings  RCP LUC - BANK        8   \n",
       "21                             Internet Expenses  PMT LUC - CASH       61   \n",
       "22                      Housekeeping Comsumables  PMT LUC - CASH      117   \n",
       "23                  Meditational Aids - Expenses  PMT LUC - CASH       11   \n",
       "24                               Courier Charges  PMT LUC - CASH        2   \n",
       "25                               Lucknow - Delhi         Journal       13   \n",
       "26                               Courier Charges  PMT LUC - CASH      119   \n",
       "27                               Lucknow - Delhi  PMT LUC - BANK       22   \n",
       "28                          Electricity Expenses  PMT LUC - CASH       35   \n",
       "29                                 Food Expenses  PMT LUC - CASH      301   \n",
       "30              AXIS - Lucknow - 913010001710740          Contra        7   \n",
       "31                  Meditational Aids - Expenses  PMT LUC - CASH      231   \n",
       "32                                 Food Expenses         Journal        1   \n",
       "33                               Courier Charges  PMT LUC - CASH      271   \n",
       "34                                 Food Expenses  PMT LUC - CASH       55   \n",
       "35                          Electricity Expenses  PMT LUC - CASH       72   \n",
       "36                         Rep & Maint - General  PMT LUC - CASH       21   \n",
       "37                             Internet Expenses  PMT LUC - CASH      253   \n",
       "38                               Lucknow - Delhi  PMT LUC - BANK       36   \n",
       "39                            Book Fair Expenses  PMT LUC - BANK       48   \n",
       "40          Rep & Maint - Machinery & Equipments  PMT LUC - CASH      314   \n",
       "41                      Housekeeping Comsumables  PMT LUC - CASH      172   \n",
       "42                                 Food Expenses  PMT LUC - CASH      143   \n",
       "43                                 Food Expenses  PMT LUC - CASH       71   \n",
       "44                      Housekeeping Comsumables  PMT LUC - CASH      144   \n",
       "45                                 Food Expenses  PMT LUC - CASH       68   \n",
       "46                               Courier Charges  PMT LUC - CASH       99   \n",
       "47                      Housekeeping Comsumables  PMT LUC - CASH      224   \n",
       "48                         Rep & Maint - General  PMT LUC - CASH      158   \n",
       "49              AXIS - Lucknow - 913010001710740          Contra       11   \n",
       "50                         Rep & Maint - General  PMT LUC - CASH       71   \n",
       "51                                      Salaries  PMT LUC - CASH       80   \n",
       "52                      Housekeeping Comsumables  PMT LUC - CASH       73   \n",
       "53                      Housekeeping Comsumables  PMT LUC - CASH      140   \n",
       "54                                 Food Expenses  PMT LUC - CASH      321   \n",
       "55               Machinery, Equipment & Vehicles  PMT LUC - CASH      111   \n",
       "56              AXIS - Lucknow - 913010001710740          Contra        9   \n",
       "57                               Garden Expenses  PMT LUC - CASH      141   \n",
       "58                                 Food Expenses  PMT LUC - CASH      261   \n",
       "59                             Internet Expenses  PMT LUC - CASH       73   \n",
       "\n",
       "       Debit    Credit  \n",
       "0     7800.0       0.0  \n",
       "1    15000.0       0.0  \n",
       "2        0.0  100000.0  \n",
       "3     1300.0       0.0  \n",
       "4      130.0       0.0  \n",
       "5     7140.0       0.0  \n",
       "6        0.0    5408.0  \n",
       "7     3920.0       0.0  \n",
       "8      184.0       0.0  \n",
       "9      600.0       0.0  \n",
       "10    1710.0       0.0  \n",
       "11     120.0       0.0  \n",
       "12    9200.0       0.0  \n",
       "13   15000.0       0.0  \n",
       "14    5000.0       0.0  \n",
       "15   15000.0       0.0  \n",
       "16    3300.0       0.0  \n",
       "17   10200.0       0.0  \n",
       "18   15100.0       0.0  \n",
       "19     940.0       0.0  \n",
       "20       0.0    1063.0  \n",
       "21     589.0       0.0  \n",
       "22     227.0       0.0  \n",
       "23     380.0       0.0  \n",
       "24     120.0       0.0  \n",
       "25  895787.0       0.0  \n",
       "26     120.0       0.0  \n",
       "27    1000.0       0.0  \n",
       "28   11272.0       0.0  \n",
       "29    4935.0       0.0  \n",
       "30       0.0   50000.0  \n",
       "31     426.0       0.0  \n",
       "32   96000.0       0.0  \n",
       "33     130.0       0.0  \n",
       "34    5674.0       0.0  \n",
       "35   13795.0       0.0  \n",
       "36     750.0       0.0  \n",
       "37     943.0       0.0  \n",
       "38     500.0       0.0  \n",
       "39   26500.0       0.0  \n",
       "40    5200.0       0.0  \n",
       "41    7000.0       0.0  \n",
       "42    5473.0       0.0  \n",
       "43    4418.0       0.0  \n",
       "44     300.0       0.0  \n",
       "45    2353.0       0.0  \n",
       "46     120.0       0.0  \n",
       "47    1800.0       0.0  \n",
       "48     440.0       0.0  \n",
       "49       0.0   30000.0  \n",
       "50    3100.0       0.0  \n",
       "51    5000.0       0.0  \n",
       "52    4000.0       0.0  \n",
       "53    1700.0       0.0  \n",
       "54     941.0       0.0  \n",
       "55    7000.0       0.0  \n",
       "56       0.0   50000.0  \n",
       "57     500.0       0.0  \n",
       "58    3840.0       0.0  \n",
       "59     589.0       0.0  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.sample(60).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "6ba2b77a-4306-4eff-b3e8-ed5f614aee0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(615, 9)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "316e9431-1754-412c-b7e1-eabd6eba3770",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(240, 9)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "0a1856b9-3cee-4b08-9162-674ff4361c77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(445, 9)"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d485ed5-bb90-4fda-9c58-d28d91f9c363",
   "metadata": {},
   "source": [
    "\n",
    "### MAKING COMBOBOX FOR COMPARING DATA ENTERIES IN BOTH THE FINANCIAL YEARS AND PREDICTING THE CREDIT AND DEBIT FOR THE NEXT FY USING LINEAR EXTRAPOLATION\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "1d9731d1-1173-4c9d-a10b-4e1715b13dbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import tkinter as tk\n",
    "from tkinter import ttk\n",
    "import pandas as pd\n",
    "\n",
    "# Function to calculate predicted values for the next financial year\n",
    "def predict_next_year(fy_sums):\n",
    "    if len(fy_sums) < 2:\n",
    "        return None, None\n",
    "    \n",
    "    # Avoid division by zero by checking if previous year's value is zero\n",
    "    if fy_sums[-2][0] == 0:\n",
    "        avg_debit_growth = 0\n",
    "    else:\n",
    "        avg_debit_growth = (fy_sums[-1][0] - fy_sums[-2][0]) / fy_sums[-2][0]\n",
    "        \n",
    "    if fy_sums[-2][1] == 0:\n",
    "        avg_credit_growth = 0\n",
    "    else:\n",
    "        avg_credit_growth = (fy_sums[-1][1] - fy_sums[-2][1]) / fy_sums[-2][1]\n",
    "    \n",
    "    next_year_debit = fy_sums[-1][0] * (1 + avg_debit_growth)\n",
    "    next_year_credit = fy_sums[-1][1] * (1 + avg_credit_growth)\n",
    "    \n",
    "    return next_year_debit, next_year_credit\n",
    "\n",
    "# Function to update the listbox with entries corresponding to the selected particular name\n",
    "def update_listbox(event):\n",
    "    selected_particular = combo_var.get()\n",
    "    selected_entries = df3.loc[df3['Particulars'] == selected_particular, ['month', 'year', 'Debit', 'Credit']]\n",
    "    \n",
    "    # Filter entries for each financial year\n",
    "    fy_2022_2023 = selected_entries[(selected_entries['year'] == 2022) | \n",
    "                                    ((selected_entries['year'] == 2023) & (selected_entries['month'] <= 3))]\n",
    "    fy_2023_2024 = selected_entries[(selected_entries['year'] == 2023) & (selected_entries['month'] >= 4)]\n",
    "    \n",
    "    # Calculate sums for each financial year\n",
    "    sum_debit_fy_2022_2023 = fy_2022_2023['Debit'].sum()\n",
    "    sum_credit_fy_2022_2023 = fy_2022_2023['Credit'].sum()\n",
    "    sum_debit_fy_2023_2024 = fy_2023_2024['Debit'].sum()\n",
    "    sum_credit_fy_2023_2024 = fy_2023_2024['Credit'].sum()\n",
    "\n",
    "    # List of summed values for financial years\n",
    "    fy_sums = [(sum_debit_fy_2022_2023, sum_credit_fy_2022_2023), (sum_debit_fy_2023_2024, sum_credit_fy_2023_2024)]\n",
    "\n",
    "    # Predict next year's values\n",
    "    next_year_debit, next_year_credit = predict_next_year(fy_sums)\n",
    "    \n",
    "    listbox.delete(0, tk.END)\n",
    "    for index, row in selected_entries.iterrows():\n",
    "        entry_text = f\"{int(row['month'])} {int(row['year'])}: Debit - {row['Debit']}, Credit - {row['Credit']}\"\n",
    "        listbox.insert(tk.END, entry_text)\n",
    "    \n",
    "    # Display sums\n",
    "    listbox.insert(tk.END, \"\")\n",
    "    listbox.insert(tk.END, f\"Total for FY 2022-2023: Debit - {sum_debit_fy_2022_2023}, Credit - {sum_credit_fy_2022_2023}\")\n",
    "    listbox.insert(tk.END, f\"Total for FY 2023-2024: Debit - {sum_debit_fy_2023_2024}, Credit - {sum_credit_fy_2023_2024}\")\n",
    "    \n",
    "    # Display predicted values if available\n",
    "    if next_year_debit is not None and next_year_credit is not None:\n",
    "        listbox.insert(tk.END, f\"Predicted for FY 2024-2025: Debit - {next_year_debit:.2f}, Credit - {next_year_credit:.2f}\")\n",
    "\n",
    "# Create the main window\n",
    "root = tk.Tk()\n",
    "root.title(\"Entry Viewer\")\n",
    "\n",
    "# Create a combo box to select particular names\n",
    "combo_var = tk.StringVar()\n",
    "combo_box = ttk.Combobox(root, textvariable=combo_var)\n",
    "unique_values = df3['Particulars'].unique()\n",
    "combo_box['values'] = unique_values.tolist()  # Convert to list if necessary\n",
    "combo_box.grid(row=0, column=0, padx=10, pady=10)\n",
    "combo_box.bind('<<ComboboxSelected>>', update_listbox)\n",
    "\n",
    "# Create a listbox to display entries\n",
    "listbox = tk.Listbox(root, width=50, height=20)\n",
    "listbox.grid(row=1, column=0, padx=10, pady=10)\n",
    "\n",
    "# Function to initialize listbox with entries for initial selection\n",
    "def initialize_listbox():\n",
    "    selected_particular = combo_var.get()\n",
    "    selected_entries = df3[df3['Particulars'] == selected_particular]\n",
    "    \n",
    "    listbox.delete(0, tk.END)\n",
    "    for index, row in selected_entries.iterrows():\n",
    "        entry_text = f\"{int(row['month'])} {int(row['year'])}: Debit - {row['Debit']}, Credit - {row['Credit']}\"\n",
    "        listbox.insert(tk.END, entry_text)\n",
    "\n",
    "    # Initialize sums for the first particular name\n",
    "    update_listbox(None)\n",
    "\n",
    "# Initialize with the first particular name\n",
    "initial_particular = unique_values[0]  # Select the first unique item in the list\n",
    "combo_var.set(initial_particular)\n",
    "initialize_listbox()  # Initialize listbox with entries for initial selection\n",
    "\n",
    "# Start the Tkinter event loop\n",
    "root.mainloop()\n"
   ]
  },
  {
   "cell_type": "raw",
   "id": "1b56ae4e-0d60-4130-b3e1-8ab61b29747b",
   "metadata": {},
   "source": []
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