space-debris-lifetime-classification_data-preparation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ac8b2832",
   "metadata": {},
   "source": [
    "# Space Debris Lifetime Classification Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e7107b7",
   "metadata": {},
   "source": [
    "This notebook consists of two parts:\n",
    "\n",
    "* <b>[Part 1](#part_1)</b>: selects the space debris from the entire catalog of space objects from 1957 up to Jan. 23, 2024 and creates a lifetime class to be predicted by the ML model to be created\n",
    "* <b>[Part 2](#part_2)</b>: acquires the orbital parameters (which would serve as input features to the ML model to be created) from the latest TLEs of the space debris selected from Part 1\n",
    "\n",
    "Notebook created by: Adrian Josele G. Quional"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3cca80a",
   "metadata": {},
   "source": [
    "<a id='part_1'></a>\n",
    "\n",
    "## Part 1: Space Debris Selection\n",
    "\n",
    "This part selects the space debris according to the following criteria: decayed and resided in Low-Earth Orbit (LEO). This part also creates orbital lifetime classes that is aimed to be predicted by the ML model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a7ec1d3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd # for spreadsheet manipulation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62dd5698",
   "metadata": {},
   "source": [
    "* <i>Source of catalog (containing all space objects from 1957 up to Jan. 23, 2024): https://celestrak.org/satcat/search.php<i> \n",
    "* <i>SATCAT Format Documentation (for reference): https://celestrak.org/satcat/satcat-format.php</i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ee0dc70c",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECT_NAME</th>\n",
       "      <th>OBJECT_ID</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>OBJECT_TYPE</th>\n",
       "      <th>OPS_STATUS_CODE</th>\n",
       "      <th>OWNER</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>LAUNCH_SITE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>PERIOD</th>\n",
       "      <th>INCLINATION</th>\n",
       "      <th>APOGEE</th>\n",
       "      <th>PERIGEE</th>\n",
       "      <th>RCS</th>\n",
       "      <th>DATA_STATUS_CODE</th>\n",
       "      <th>ORBIT_CENTER</th>\n",
       "      <th>ORBIT_TYPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>1957-001A</td>\n",
       "      <td>1</td>\n",
       "      <td>R/B</td>\n",
       "      <td>D</td>\n",
       "      <td>CIS</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>TYMSC</td>\n",
       "      <td>1957-12-01</td>\n",
       "      <td>96.19</td>\n",
       "      <td>65.10</td>\n",
       "      <td>938.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>20.420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EA</td>\n",
       "      <td>IMP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SPUTNIK 1</td>\n",
       "      <td>1957-001B</td>\n",
       "      <td>2</td>\n",
       "      <td>PAY</td>\n",
       "      <td>D</td>\n",
       "      <td>CIS</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>TYMSC</td>\n",
       "      <td>1958-01-03</td>\n",
       "      <td>96.10</td>\n",
       "      <td>65.00</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EA</td>\n",
       "      <td>IMP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SPUTNIK 2</td>\n",
       "      <td>1957-002A</td>\n",
       "      <td>3</td>\n",
       "      <td>PAY</td>\n",
       "      <td>D</td>\n",
       "      <td>CIS</td>\n",
       "      <td>1957-11-03</td>\n",
       "      <td>TYMSC</td>\n",
       "      <td>1958-04-14</td>\n",
       "      <td>103.74</td>\n",
       "      <td>65.33</td>\n",
       "      <td>1659.0</td>\n",
       "      <td>211.0</td>\n",
       "      <td>0.080</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EA</td>\n",
       "      <td>IMP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>EXPLORER 1</td>\n",
       "      <td>1958-001A</td>\n",
       "      <td>4</td>\n",
       "      <td>PAY</td>\n",
       "      <td>D</td>\n",
       "      <td>US</td>\n",
       "      <td>1958-02-01</td>\n",
       "      <td>AFETR</td>\n",
       "      <td>1970-03-31</td>\n",
       "      <td>88.48</td>\n",
       "      <td>33.15</td>\n",
       "      <td>215.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EA</td>\n",
       "      <td>IMP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>VANGUARD 1</td>\n",
       "      <td>1958-002B</td>\n",
       "      <td>5</td>\n",
       "      <td>PAY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>1958-03-17</td>\n",
       "      <td>AFETR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.70</td>\n",
       "      <td>34.24</td>\n",
       "      <td>3826.0</td>\n",
       "      <td>653.0</td>\n",
       "      <td>0.122</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>ORB</td>\n",
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       "      <th>58733</th>\n",
       "      <td>AXIOM-3</td>\n",
       "      <td>2024-014A</td>\n",
       "      <td>58815</td>\n",
       "      <td>PAY</td>\n",
       "      <td>+</td>\n",
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       "      <td>2024-01-18</td>\n",
       "      <td>AFETR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.92</td>\n",
       "      <td>51.64</td>\n",
       "      <td>421.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>58734</th>\n",
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       "      <td>PRC</td>\n",
       "      <td>2023-05-10</td>\n",
       "      <td>WSC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>92.05</td>\n",
       "      <td>41.47</td>\n",
       "      <td>381.0</td>\n",
       "      <td>368.0</td>\n",
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       "      <td>OBJECT A</td>\n",
       "      <td>2024-015A</td>\n",
       "      <td>58817</td>\n",
       "      <td>PAY</td>\n",
       "      <td>+</td>\n",
       "      <td>IRAN</td>\n",
       "      <td>2024-01-20</td>\n",
       "      <td>SMTS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.87</td>\n",
       "      <td>64.52</td>\n",
       "      <td>761.0</td>\n",
       "      <td>744.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EA</td>\n",
       "      <td>ORB</td>\n",
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       "    <tr>\n",
       "      <th>58736</th>\n",
       "      <td>OBJECT B</td>\n",
       "      <td>2024-015B</td>\n",
       "      <td>58818</td>\n",
       "      <td>UNK</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IRAN</td>\n",
       "      <td>2024-01-20</td>\n",
       "      <td>SMTS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.77</td>\n",
       "      <td>64.51</td>\n",
       "      <td>756.0</td>\n",
       "      <td>739.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>EA</td>\n",
       "      <td>ORB</td>\n",
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       "      <th>58737</th>\n",
       "      <td>OBJECT C</td>\n",
       "      <td>2024-015C</td>\n",
       "      <td>58819</td>\n",
       "      <td>UNK</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2024-01-20</td>\n",
       "      <td>SMTS</td>\n",
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       "      <td>99.75</td>\n",
       "      <td>64.51</td>\n",
       "      <td>755.0</td>\n",
       "      <td>737.0</td>\n",
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       "      <td>ORB</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>58738 rows × 17 columns</p>\n",
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       "      OBJECT_NAME  OBJECT_ID  NORAD_CAT_ID OBJECT_TYPE OPS_STATUS_CODE OWNER  \\\n",
       "0        SL-1 R/B  1957-001A             1         R/B               D   CIS   \n",
       "1       SPUTNIK 1  1957-001B             2         PAY               D   CIS   \n",
       "2       SPUTNIK 2  1957-002A             3         PAY               D   CIS   \n",
       "3      EXPLORER 1  1958-001A             4         PAY               D    US   \n",
       "4      VANGUARD 1  1958-002B             5         PAY             NaN    US   \n",
       "...           ...        ...           ...         ...             ...   ...   \n",
       "58733     AXIOM-3  2024-014A         58815         PAY               +    US   \n",
       "58734    OBJECT C  2023-063C         58816         UNK             NaN   PRC   \n",
       "58735    OBJECT A  2024-015A         58817         PAY               +  IRAN   \n",
       "58736    OBJECT B  2024-015B         58818         UNK             NaN  IRAN   \n",
       "58737    OBJECT C  2024-015C         58819         UNK             NaN  IRAN   \n",
       "\n",
       "      LAUNCH_DATE LAUNCH_SITE  DECAY_DATE  PERIOD  INCLINATION  APOGEE  \\\n",
       "0      1957-10-04       TYMSC  1957-12-01   96.19        65.10   938.0   \n",
       "1      1957-10-04       TYMSC  1958-01-03   96.10        65.00  1080.0   \n",
       "2      1957-11-03       TYMSC  1958-04-14  103.74        65.33  1659.0   \n",
       "3      1958-02-01       AFETR  1970-03-31   88.48        33.15   215.0   \n",
       "4      1958-03-17       AFETR         NaN  132.70        34.24  3826.0   \n",
       "...           ...         ...         ...     ...          ...     ...   \n",
       "58733  2024-01-18       AFETR         NaN   92.92        51.64   421.0   \n",
       "58734  2023-05-10         WSC         NaN   92.05        41.47   381.0   \n",
       "58735  2024-01-20        SMTS         NaN   99.87        64.52   761.0   \n",
       "58736  2024-01-20        SMTS         NaN   99.77        64.51   756.0   \n",
       "58737  2024-01-20        SMTS         NaN   99.75        64.51   755.0   \n",
       "\n",
       "       PERIGEE     RCS DATA_STATUS_CODE ORBIT_CENTER ORBIT_TYPE  \n",
       "0        214.0  20.420              NaN           EA        IMP  \n",
       "1         64.0     NaN              NaN           EA        IMP  \n",
       "2        211.0   0.080              NaN           EA        IMP  \n",
       "3        183.0     NaN              NaN           EA        IMP  \n",
       "4        653.0   0.122              NaN           EA        ORB  \n",
       "...        ...     ...              ...          ...        ...  \n",
       "58733    414.0     NaN              NaN           EA        ORB  \n",
       "58734    368.0     NaN              NaN           EA        ORB  \n",
       "58735    744.0     NaN              NaN           EA        ORB  \n",
       "58736    739.0     NaN              NaN           EA        ORB  \n",
       "58737    737.0     NaN              NaN           EA        ORB  \n",
       "\n",
       "[58738 rows x 17 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reading the catalog\n",
    "satcat_df = pd.read_csv(\"satcat_celestrak.csv\")\n",
    "satcat_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a4227ce7",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>OBJECT_TYPE</th>\n",
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       "      <th>0</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>1</td>\n",
       "      <td>R/B</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1957-12-01</td>\n",
       "      <td>938.0</td>\n",
       "      <td>214.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SPUTNIK 1</td>\n",
       "      <td>2</td>\n",
       "      <td>PAY</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1958-01-03</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>64.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>SPUTNIK 2</td>\n",
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       "      <td>PAY</td>\n",
       "      <td>1957-11-03</td>\n",
       "      <td>1958-04-14</td>\n",
       "      <td>1659.0</td>\n",
       "      <td>211.0</td>\n",
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       "      <td>EXPLORER 1</td>\n",
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       "      <td>VANGUARD 1</td>\n",
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       "      <td>3826.0</td>\n",
       "      <td>653.0</td>\n",
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       "      <td>AXIOM-3</td>\n",
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       "      <td>PAY</td>\n",
       "      <td>2024-01-18</td>\n",
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       "      <td>421.0</td>\n",
       "      <td>414.0</td>\n",
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       "      <td>OBJECT C</td>\n",
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       "      <td>UNK</td>\n",
       "      <td>2023-05-10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>381.0</td>\n",
       "      <td>368.0</td>\n",
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       "    <tr>\n",
       "      <th>58735</th>\n",
       "      <td>OBJECT A</td>\n",
       "      <td>58817</td>\n",
       "      <td>PAY</td>\n",
       "      <td>2024-01-20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>761.0</td>\n",
       "      <td>744.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58736</th>\n",
       "      <td>OBJECT B</td>\n",
       "      <td>58818</td>\n",
       "      <td>UNK</td>\n",
       "      <td>2024-01-20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>756.0</td>\n",
       "      <td>739.0</td>\n",
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       "      <th>58737</th>\n",
       "      <td>OBJECT C</td>\n",
       "      <td>58819</td>\n",
       "      <td>UNK</td>\n",
       "      <td>2024-01-20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>755.0</td>\n",
       "      <td>737.0</td>\n",
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      "text/plain": [
       "      OBJECT_NAME  NORAD_CAT_ID OBJECT_TYPE LAUNCH_DATE  DECAY_DATE  APOGEE  \\\n",
       "0        SL-1 R/B             1         R/B  1957-10-04  1957-12-01   938.0   \n",
       "1       SPUTNIK 1             2         PAY  1957-10-04  1958-01-03  1080.0   \n",
       "2       SPUTNIK 2             3         PAY  1957-11-03  1958-04-14  1659.0   \n",
       "3      EXPLORER 1             4         PAY  1958-02-01  1970-03-31   215.0   \n",
       "4      VANGUARD 1             5         PAY  1958-03-17         NaN  3826.0   \n",
       "...           ...           ...         ...         ...         ...     ...   \n",
       "58733     AXIOM-3         58815         PAY  2024-01-18         NaN   421.0   \n",
       "58734    OBJECT C         58816         UNK  2023-05-10         NaN   381.0   \n",
       "58735    OBJECT A         58817         PAY  2024-01-20         NaN   761.0   \n",
       "58736    OBJECT B         58818         UNK  2024-01-20         NaN   756.0   \n",
       "58737    OBJECT C         58819         UNK  2024-01-20         NaN   755.0   \n",
       "\n",
       "       PERIGEE  \n",
       "0        214.0  \n",
       "1         64.0  \n",
       "2        211.0  \n",
       "3        183.0  \n",
       "4        653.0  \n",
       "...        ...  \n",
       "58733    414.0  \n",
       "58734    368.0  \n",
       "58735    744.0  \n",
       "58736    739.0  \n",
       "58737    737.0  \n",
       "\n",
       "[58738 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dropping irrelevant columns\n",
    "cols_to_drop = [\"OBJECT_ID\", \"OPS_STATUS_CODE\", \"OWNER\", \"LAUNCH_SITE\", \"PERIOD\", \"INCLINATION\", \"RCS\", \n",
    "                \"DATA_STATUS_CODE\", \"ORBIT_CENTER\", \"ORBIT_TYPE\"]\n",
    "\n",
    "satcat_df = satcat_df.drop(labels=cols_to_drop, axis=\"columns\")\n",
    "satcat_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a933b587",
   "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>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>OBJECT_TYPE</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>APOGEE</th>\n",
       "      <th>PERIGEE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>1</td>\n",
       "      <td>R/B</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1957-12-01</td>\n",
       "      <td>938.0</td>\n",
       "      <td>214.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SPUTNIK 1</td>\n",
       "      <td>2</td>\n",
       "      <td>PAY</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1958-01-03</td>\n",
       "      <td>1080.0</td>\n",
       "      <td>64.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SPUTNIK 2</td>\n",
       "      <td>3</td>\n",
       "      <td>PAY</td>\n",
       "      <td>1957-11-03</td>\n",
       "      <td>1958-04-14</td>\n",
       "      <td>1659.0</td>\n",
       "      <td>211.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>EXPLORER 1</td>\n",
       "      <td>4</td>\n",
       "      <td>PAY</td>\n",
       "      <td>1958-02-01</td>\n",
       "      <td>1970-03-31</td>\n",
       "      <td>215.0</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EXPLORER 3</td>\n",
       "      <td>6</td>\n",
       "      <td>PAY</td>\n",
       "      <td>1958-03-26</td>\n",
       "      <td>1958-06-28</td>\n",
       "      <td>1739.0</td>\n",
       "      <td>117.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58605</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58664</td>\n",
       "      <td>R/B</td>\n",
       "      <td>2023-12-27</td>\n",
       "      <td>2024-01-04</td>\n",
       "      <td>177.0</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58608</th>\n",
       "      <td>STARLINK-31130</td>\n",
       "      <td>58667</td>\n",
       "      <td>PAY</td>\n",
       "      <td>2023-12-29</td>\n",
       "      <td>2024-01-04</td>\n",
       "      <td>191.0</td>\n",
       "      <td>185.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58645</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58704</td>\n",
       "      <td>R/B</td>\n",
       "      <td>2024-01-05</td>\n",
       "      <td>2024-01-15</td>\n",
       "      <td>108.0</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58692</th>\n",
       "      <td>PEREGRINE</td>\n",
       "      <td>58751</td>\n",
       "      <td>PAY</td>\n",
       "      <td>2024-01-08</td>\n",
       "      <td>2024-01-18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58698</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58757</td>\n",
       "      <td>R/B</td>\n",
       "      <td>2024-01-11</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>147.0</td>\n",
       "      <td>109.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30382 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          OBJECT_NAME  NORAD_CAT_ID OBJECT_TYPE LAUNCH_DATE  DECAY_DATE  \\\n",
       "0            SL-1 R/B             1         R/B  1957-10-04  1957-12-01   \n",
       "1           SPUTNIK 1             2         PAY  1957-10-04  1958-01-03   \n",
       "2           SPUTNIK 2             3         PAY  1957-11-03  1958-04-14   \n",
       "3          EXPLORER 1             4         PAY  1958-02-01  1970-03-31   \n",
       "5          EXPLORER 3             6         PAY  1958-03-26  1958-06-28   \n",
       "...               ...           ...         ...         ...         ...   \n",
       "58605       KZ-1A R/B         58664         R/B  2023-12-27  2024-01-04   \n",
       "58608  STARLINK-31130         58667         PAY  2023-12-29  2024-01-04   \n",
       "58645       KZ-1A R/B         58704         R/B  2024-01-05  2024-01-15   \n",
       "58692       PEREGRINE         58751         PAY  2024-01-08  2024-01-18   \n",
       "58698       KZ-1A R/B         58757         R/B  2024-01-11  2024-01-14   \n",
       "\n",
       "       APOGEE  PERIGEE  \n",
       "0       938.0    214.0  \n",
       "1      1080.0     64.0  \n",
       "2      1659.0    211.0  \n",
       "3       215.0    183.0  \n",
       "5      1739.0    117.0  \n",
       "...       ...      ...  \n",
       "58605   177.0    120.0  \n",
       "58608   191.0    185.0  \n",
       "58645   108.0     81.0  \n",
       "58692     NaN      NaN  \n",
       "58698   147.0    109.0  \n",
       "\n",
       "[30382 rows x 7 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# selecting only those space objects that have decayed by dropping rows with a null DECAY_DATE\n",
    "satcat_df.dropna(subset=[\"DECAY_DATE\"], inplace=True)\n",
    "satcat_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2c83dcb9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OBJECT_TYPE\n",
       "DEB    21333\n",
       "PAY     4833\n",
       "R/B     4177\n",
       "UNK       39\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking how many objects fall into a specific OBJECT_TYPE category\n",
    "satcat_df.value_counts(\"OBJECT_TYPE\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2312d37e",
   "metadata": {},
   "source": [
    "Getting only those that are space debris:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c55c2279",
   "metadata": {},
   "outputs": [],
   "source": [
    "# filtering only those uncontrolled space objects (debris and rocket bodies)\n",
    "# we consider objects of OBJECT_TYPE R/B (rocket body) and DEB (debris) collectively as space debris\n",
    "debris_filter = (satcat_df[\"OBJECT_TYPE\"] == \"DEB\") | (satcat_df[\"OBJECT_TYPE\"] == \"R/B\")\n",
    "\n",
    "satcat_deb_df = satcat_df[debris_filter] # filtering to only space debris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "248b71a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\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>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>APOGEE</th>\n",
       "      <th>PERIGEE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>1</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1957-12-01</td>\n",
       "      <td>938.0</td>\n",
       "      <td>214.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>7</td>\n",
       "      <td>1958-05-15</td>\n",
       "      <td>1958-12-03</td>\n",
       "      <td>1571.0</td>\n",
       "      <td>206.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>17</td>\n",
       "      <td>1959-08-07</td>\n",
       "      <td>1961-06-30</td>\n",
       "      <td>40215.0</td>\n",
       "      <td>198.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "      <td>249.0</td>\n",
       "      <td>225.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "      <td>168.0</td>\n",
       "      <td>163.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58582</th>\n",
       "      <td>DRAGON CRS-29 DEB</td>\n",
       "      <td>58641</td>\n",
       "      <td>2023-11-10</td>\n",
       "      <td>2024-01-10</td>\n",
       "      <td>154.0</td>\n",
       "      <td>132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58594</th>\n",
       "      <td>CZ-11 R/B</td>\n",
       "      <td>58653</td>\n",
       "      <td>2023-12-25</td>\n",
       "      <td>2024-01-18</td>\n",
       "      <td>187.0</td>\n",
       "      <td>113.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58605</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58664</td>\n",
       "      <td>2023-12-27</td>\n",
       "      <td>2024-01-04</td>\n",
       "      <td>177.0</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58645</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58704</td>\n",
       "      <td>2024-01-05</td>\n",
       "      <td>2024-01-15</td>\n",
       "      <td>108.0</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58698</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58757</td>\n",
       "      <td>2024-01-11</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>147.0</td>\n",
       "      <td>109.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25510 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID LAUNCH_DATE  DECAY_DATE   APOGEE  \\\n",
       "0               SL-1 R/B             1  1957-10-04  1957-12-01    938.0   \n",
       "6               SL-1 R/B             7  1958-05-15  1958-12-03   1571.0   \n",
       "16         THOR ABLE R/B            17  1959-08-07  1961-06-30  40215.0   \n",
       "22           JUNO II R/B            23  1959-10-13  1989-07-16    249.0   \n",
       "27         THOR ABLE R/B            28  1960-04-01  1991-07-03    168.0   \n",
       "...                  ...           ...         ...         ...      ...   \n",
       "58582  DRAGON CRS-29 DEB         58641  2023-11-10  2024-01-10    154.0   \n",
       "58594          CZ-11 R/B         58653  2023-12-25  2024-01-18    187.0   \n",
       "58605          KZ-1A R/B         58664  2023-12-27  2024-01-04    177.0   \n",
       "58645          KZ-1A R/B         58704  2024-01-05  2024-01-15    108.0   \n",
       "58698          KZ-1A R/B         58757  2024-01-11  2024-01-14    147.0   \n",
       "\n",
       "       PERIGEE  \n",
       "0        214.0  \n",
       "6        206.0  \n",
       "16       198.0  \n",
       "22       225.0  \n",
       "27       163.0  \n",
       "...        ...  \n",
       "58582    132.0  \n",
       "58594    113.0  \n",
       "58605    120.0  \n",
       "58645     81.0  \n",
       "58698    109.0  \n",
       "\n",
       "[25510 rows x 6 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dropping OBJECT_TYPE column since every object is of R/B and DEB type\n",
    "# besides, OBJECT_NAME already specifies if a space object is a DEB or R/B\n",
    "satcat_deb_df = satcat_deb_df.drop(labels=\"OBJECT_TYPE\", axis=\"columns\") \n",
    "satcat_deb_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95bbbd72",
   "metadata": {},
   "source": [
    "Getting only those space debris that are in Low-Earth Orbit (LEO):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9f4abf3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>APOGEE</th>\n",
       "      <th>PERIGEE</th>\n",
       "      <th>AVG_ALTITUDE</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>1</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1957-12-01</td>\n",
       "      <td>938.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>576.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>7</td>\n",
       "      <td>1958-05-15</td>\n",
       "      <td>1958-12-03</td>\n",
       "      <td>1571.0</td>\n",
       "      <td>206.0</td>\n",
       "      <td>888.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>17</td>\n",
       "      <td>1959-08-07</td>\n",
       "      <td>1961-06-30</td>\n",
       "      <td>40215.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>20206.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "      <td>249.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>237.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "      <td>168.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>165.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58582</th>\n",
       "      <td>DRAGON CRS-29 DEB</td>\n",
       "      <td>58641</td>\n",
       "      <td>2023-11-10</td>\n",
       "      <td>2024-01-10</td>\n",
       "      <td>154.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>143.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58594</th>\n",
       "      <td>CZ-11 R/B</td>\n",
       "      <td>58653</td>\n",
       "      <td>2023-12-25</td>\n",
       "      <td>2024-01-18</td>\n",
       "      <td>187.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58605</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58664</td>\n",
       "      <td>2023-12-27</td>\n",
       "      <td>2024-01-04</td>\n",
       "      <td>177.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>148.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58645</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58704</td>\n",
       "      <td>2024-01-05</td>\n",
       "      <td>2024-01-15</td>\n",
       "      <td>108.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>94.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58698</th>\n",
       "      <td>KZ-1A R/B</td>\n",
       "      <td>58757</td>\n",
       "      <td>2024-01-11</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>147.0</td>\n",
       "      <td>109.0</td>\n",
       "      <td>128.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25510 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID LAUNCH_DATE  DECAY_DATE   APOGEE  \\\n",
       "0               SL-1 R/B             1  1957-10-04  1957-12-01    938.0   \n",
       "6               SL-1 R/B             7  1958-05-15  1958-12-03   1571.0   \n",
       "16         THOR ABLE R/B            17  1959-08-07  1961-06-30  40215.0   \n",
       "22           JUNO II R/B            23  1959-10-13  1989-07-16    249.0   \n",
       "27         THOR ABLE R/B            28  1960-04-01  1991-07-03    168.0   \n",
       "...                  ...           ...         ...         ...      ...   \n",
       "58582  DRAGON CRS-29 DEB         58641  2023-11-10  2024-01-10    154.0   \n",
       "58594          CZ-11 R/B         58653  2023-12-25  2024-01-18    187.0   \n",
       "58605          KZ-1A R/B         58664  2023-12-27  2024-01-04    177.0   \n",
       "58645          KZ-1A R/B         58704  2024-01-05  2024-01-15    108.0   \n",
       "58698          KZ-1A R/B         58757  2024-01-11  2024-01-14    147.0   \n",
       "\n",
       "       PERIGEE  AVG_ALTITUDE  \n",
       "0        214.0         576.0  \n",
       "6        206.0         888.5  \n",
       "16       198.0       20206.5  \n",
       "22       225.0         237.0  \n",
       "27       163.0         165.5  \n",
       "...        ...           ...  \n",
       "58582    132.0         143.0  \n",
       "58594    113.0         150.0  \n",
       "58605    120.0         148.5  \n",
       "58645     81.0          94.5  \n",
       "58698    109.0         128.0  \n",
       "\n",
       "[25510 rows x 7 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculating the approximate orbital altitude of the space debris\n",
    "# apogee - point where the debris is farthest from the Earth\n",
    "# perigee - point where the debris is nearest from the Earth\n",
    "\n",
    "pd.options.mode.chained_assignment = None  # default='warn' # suppressing the copy warning\n",
    "\n",
    "# calculating the average altitude based on the apogee and perigee height\n",
    "avg_orbital_alt = (satcat_deb_df[\"APOGEE\"] + satcat_deb_df[\"PERIGEE\"]) / 2 \n",
    "satcat_deb_df[\"AVG_ALTITUDE\"] = avg_orbital_alt\n",
    "satcat_deb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1e0bce3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# filtering those space debris that are in LEO, which is approximately 160 km to 1000 km\n",
    "leo_filter = (satcat_deb_df[\"AVG_ALTITUDE\"] <= 1000) & (satcat_deb_df[\"AVG_ALTITUDE\"] >= 160)\n",
    "\n",
    "satcat_deb_df = satcat_deb_df[leo_filter]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2b6abbca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\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>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>1</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1957-12-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>7</td>\n",
       "      <td>1958-05-15</td>\n",
       "      <td>1958-12-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>THOR ABLESTAR R/B</td>\n",
       "      <td>30</td>\n",
       "      <td>1960-04-13</td>\n",
       "      <td>1961-08-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58291</th>\n",
       "      <td>YZ-1S R/B</td>\n",
       "      <td>58350</td>\n",
       "      <td>2023-11-16</td>\n",
       "      <td>2023-11-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58516</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58575</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58517</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58576</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58522</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58581</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58558</th>\n",
       "      <td>FIREFLY ALPHA R/B</td>\n",
       "      <td>58617</td>\n",
       "      <td>2023-12-22</td>\n",
       "      <td>2024-01-19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21689 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID LAUNCH_DATE  DECAY_DATE\n",
       "0               SL-1 R/B             1  1957-10-04  1957-12-01\n",
       "6               SL-1 R/B             7  1958-05-15  1958-12-03\n",
       "22           JUNO II R/B            23  1959-10-13  1989-07-16\n",
       "27         THOR ABLE R/B            28  1960-04-01  1991-07-03\n",
       "29     THOR ABLESTAR R/B            30  1960-04-13  1961-08-18\n",
       "...                  ...           ...         ...         ...\n",
       "58291          YZ-1S R/B         58350  2023-11-16  2023-11-21\n",
       "58516          CZ-2F DEB         58575  2023-12-14  2024-01-19\n",
       "58517          CZ-2F DEB         58576  2023-12-14  2024-01-07\n",
       "58522          CZ-2F DEB         58581  2023-12-14  2024-01-01\n",
       "58558  FIREFLY ALPHA R/B         58617  2023-12-22  2024-01-19\n",
       "\n",
       "[21689 rows x 4 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dropping APOGEE, PERIGEE, and AVG_ALTITUDE columns since those columns are already used to filter the catalog\n",
    "# i.e., those columns are not needed anymore\n",
    "satcat_deb_df = satcat_deb_df.drop(labels=[\"APOGEE\", \"PERIGEE\", \"AVG_ALTITUDE\"], axis=\"columns\") \n",
    "satcat_deb_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc7dc6e4",
   "metadata": {},
   "source": [
    "Getting the actual lifetime of all space debris:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "00c59f75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 21689 entries, 0 to 58558\n",
      "Data columns (total 4 columns):\n",
      " #   Column        Non-Null Count  Dtype         \n",
      "---  ------        --------------  -----         \n",
      " 0   OBJECT_NAME   21689 non-null  object        \n",
      " 1   NORAD_CAT_ID  21689 non-null  int64         \n",
      " 2   LAUNCH_DATE   21689 non-null  datetime64[ns]\n",
      " 3   DECAY_DATE    21689 non-null  datetime64[ns]\n",
      "dtypes: datetime64[ns](2), int64(1), object(1)\n",
      "memory usage: 847.2+ KB\n"
     ]
    }
   ],
   "source": [
    "# converting first the LAUNCH_DATE and DECAY_DATE columns into datetime\n",
    "satcat_deb_df[\"LAUNCH_DATE\"] = pd.to_datetime(satcat_deb_df[\"LAUNCH_DATE\"])\n",
    "satcat_deb_df[\"DECAY_DATE\"] = pd.to_datetime(satcat_deb_df[\"DECAY_DATE\"])\n",
    "\n",
    "# checking the dtypes to confirm\n",
    "satcat_deb_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81e9dadd",
   "metadata": {},
   "source": [
    "It is confirmed that ```LAUNCH_DATE``` and ```DECAY_DATE``` has both been converted to ```datetime```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1032cd62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>ACTUAL_LIFETIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>1</td>\n",
       "      <td>1957-10-04</td>\n",
       "      <td>1957-12-01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SL-1 R/B</td>\n",
       "      <td>7</td>\n",
       "      <td>1958-05-15</td>\n",
       "      <td>1958-12-03</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>THOR ABLESTAR R/B</td>\n",
       "      <td>30</td>\n",
       "      <td>1960-04-13</td>\n",
       "      <td>1961-08-18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58291</th>\n",
       "      <td>YZ-1S R/B</td>\n",
       "      <td>58350</td>\n",
       "      <td>2023-11-16</td>\n",
       "      <td>2023-11-21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58516</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58575</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58517</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58576</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58522</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58581</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58558</th>\n",
       "      <td>FIREFLY ALPHA R/B</td>\n",
       "      <td>58617</td>\n",
       "      <td>2023-12-22</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21689 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID LAUNCH_DATE DECAY_DATE  ACTUAL_LIFETIME\n",
       "0               SL-1 R/B             1  1957-10-04 1957-12-01                0\n",
       "6               SL-1 R/B             7  1958-05-15 1958-12-03                0\n",
       "22           JUNO II R/B            23  1959-10-13 1989-07-16               30\n",
       "27         THOR ABLE R/B            28  1960-04-01 1991-07-03               31\n",
       "29     THOR ABLESTAR R/B            30  1960-04-13 1961-08-18                1\n",
       "...                  ...           ...         ...        ...              ...\n",
       "58291          YZ-1S R/B         58350  2023-11-16 2023-11-21                0\n",
       "58516          CZ-2F DEB         58575  2023-12-14 2024-01-19                1\n",
       "58517          CZ-2F DEB         58576  2023-12-14 2024-01-07                1\n",
       "58522          CZ-2F DEB         58581  2023-12-14 2024-01-01                1\n",
       "58558  FIREFLY ALPHA R/B         58617  2023-12-22 2024-01-19                1\n",
       "\n",
       "[21689 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# calculating the actual lifetime of the space object by subtracting the decay date and the launch date\n",
    "satcat_deb_df[\"ACTUAL_LIFETIME\"] = (pd.DatetimeIndex(satcat_deb_df[\"DECAY_DATE\"]).year - \n",
    "                                    pd.DatetimeIndex(satcat_deb_df[\"LAUNCH_DATE\"]).year)\n",
    "\n",
    "satcat_deb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cee4fa23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    21689.000000\n",
       "mean         9.783300\n",
       "std         12.963672\n",
       "min          0.000000\n",
       "25%          0.000000\n",
       "50%          3.000000\n",
       "75%         16.000000\n",
       "max         62.000000\n",
       "Name: ACTUAL_LIFETIME, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# summary statistics for the lifetime\n",
    "satcat_deb_df[\"ACTUAL_LIFETIME\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6c2bdb5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking the median lifetime\n",
    "satcat_deb_df[\"ACTUAL_LIFETIME\"].median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "544519e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for plotting the distributions\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f6d7e644",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizing the distribution of the selected space objects in terms of lifetime (boxplot)\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.boxplot(satcat_deb_df[\"ACTUAL_LIFETIME\"], vert=False)\n",
    "plt.title(\"Distribution of selected space debris based on lifetime (boxplot)\")\n",
    "plt.xlabel(\"Lifetime (in years)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "75a5eb39",
   "metadata": {},
   "outputs": [],
   "source": [
    "def spaceobj_lifetime_distribution_viz(data, hist_title):\n",
    "    \"\"\"\n",
    "    Creates a histogram to show the distribution of the selected space objects in terms of orbital lifetime.\n",
    "    \n",
    "    Args:\n",
    "        data (DataFrame): DataFrame containing the information about the space objects.\n",
    "        hist_title (str): Histogram title.\n",
    "        \n",
    "    Returns:\n",
    "        None\n",
    "    \"\"\"\n",
    "    \n",
    "    # visualizing the distribution of the selected space objects in terms of lifetime (histogram)\n",
    "    plt.figure(figsize=(10,6))\n",
    "    sns.histplot(data=data, x=\"ACTUAL_LIFETIME\", bins=max(data[\"ACTUAL_LIFETIME\"]))\n",
    "    plt.title(hist_title)\n",
    "    plt.xlabel(\"Lifetime (in years)\")\n",
    "    plt.xticks(np.arange(min(data[\"ACTUAL_LIFETIME\"]), max(data[\"ACTUAL_LIFETIME\"])+1, 5.0))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "abe9e711",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the distribution of the space debris in terms of their orbital lifetime \n",
    "spaceobj_lifetime_distribution_viz(data=satcat_deb_df, \n",
    "                                   hist_title=\"Distribution of selected space derbis based on lifetime (histogram)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f0497ce",
   "metadata": {},
   "source": [
    "It can be shown that the number of objects based on lifetime is highly imbalanced."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4389c723",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ACTUAL_LIFETIME\n",
       "0     6395\n",
       "1     2228\n",
       "2     1767\n",
       "3     1104\n",
       "4      699\n",
       "      ... \n",
       "57       5\n",
       "58       5\n",
       "60       2\n",
       "61       2\n",
       "62       1\n",
       "Name: OBJECT_NAME, Length: 62, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# getting the actual number of debris per lifetime\n",
    "satcat_deb_df.groupby(\"ACTUAL_LIFETIME\")[\"OBJECT_NAME\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d74f2988",
   "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>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>ACTUAL_LIFETIME</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>THOR ABLESTAR R/B</td>\n",
       "      <td>30</td>\n",
       "      <td>1960-04-13</td>\n",
       "      <td>1961-08-18</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>SPUTNIK 4 DEB</td>\n",
       "      <td>37</td>\n",
       "      <td>1960-05-15</td>\n",
       "      <td>1961-06-30</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>62</td>\n",
       "      <td>1960-11-03</td>\n",
       "      <td>1985-10-27</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58146</th>\n",
       "      <td>CZ-7A R/B</td>\n",
       "      <td>58205</td>\n",
       "      <td>2023-11-03</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58516</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58575</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58517</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58576</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58522</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58581</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58558</th>\n",
       "      <td>FIREFLY ALPHA R/B</td>\n",
       "      <td>58617</td>\n",
       "      <td>2023-12-22</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15294 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID LAUNCH_DATE DECAY_DATE  ACTUAL_LIFETIME\n",
       "22           JUNO II R/B            23  1959-10-13 1989-07-16               30\n",
       "27         THOR ABLE R/B            28  1960-04-01 1991-07-03               31\n",
       "29     THOR ABLESTAR R/B            30  1960-04-13 1961-08-18                1\n",
       "36         SPUTNIK 4 DEB            37  1960-05-15 1961-06-30                1\n",
       "61           JUNO II R/B            62  1960-11-03 1985-10-27               25\n",
       "...                  ...           ...         ...        ...              ...\n",
       "58146          CZ-7A R/B         58205  2023-11-03 2024-01-14                1\n",
       "58516          CZ-2F DEB         58575  2023-12-14 2024-01-19                1\n",
       "58517          CZ-2F DEB         58576  2023-12-14 2024-01-07                1\n",
       "58522          CZ-2F DEB         58581  2023-12-14 2024-01-01                1\n",
       "58558  FIREFLY ALPHA R/B         58617  2023-12-22 2024-01-19                1\n",
       "\n",
       "[15294 rows x 5 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dropping objects that has a lifetime of 0 years since they highly skew the listing\n",
    "more_than_0_years_filter = satcat_deb_df[\"ACTUAL_LIFETIME\"] > 0\n",
    "\n",
    "satcat_deb_df = satcat_deb_df[more_than_0_years_filter]\n",
    "satcat_deb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "06853d68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting the distribution of the space debris again in terms of their orbital lifetime \n",
    "spaceobj_lifetime_distribution_viz(data=satcat_deb_df, \n",
    "                                   hist_title=\"Distribution of selected space derbis based on lifetime (histogram) \\n (lifetime of 0 years excluded)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "300a32ab",
   "metadata": {},
   "source": [
    "Creating lifetime classes based on the lifetime distribution:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7e9f1c2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5099"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking how many space debris has a lifetime between 1 and 3 years\n",
    "lifetime_class_1_filter = (satcat_deb_df[\"ACTUAL_LIFETIME\"] >= 1) & (satcat_deb_df[\"ACTUAL_LIFETIME\"] <= 3)\n",
    "satcat_deb_df[lifetime_class_1_filter][\"NORAD_CAT_ID\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "7a722099",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5288"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking how many space debris has a lifetime between 3 and 17 years\n",
    "lifetime_class_2_filter = (satcat_deb_df[\"ACTUAL_LIFETIME\"] > 3) & (satcat_deb_df[\"ACTUAL_LIFETIME\"] <= 17)\n",
    "satcat_deb_df[lifetime_class_2_filter][\"NORAD_CAT_ID\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4ea6f5bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4907"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking how many space debris has a lifetime of more than 17 years\n",
    "lifetime_class_3_filter = (satcat_deb_df[\"ACTUAL_LIFETIME\"] > 17)\n",
    "satcat_deb_df[lifetime_class_3_filter][\"NORAD_CAT_ID\"].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fa673c64",
   "metadata": {},
   "outputs": [],
   "source": [
    "def classify_lifetime(lifetime):\n",
    "    \"\"\"\n",
    "    Creates a lifetime class depending on the actual lifetime of the space debris in years:\n",
    "    Class 1 - space debris has a lifetime between 1 and 3 years (both inclusive)\n",
    "    Class 2 - space debris has a lifetime between 3 and 17 years (lower bound exclusive, upper bound inclusive)\n",
    "    Class 3 - space debris has a lifetime of more than 17 years\n",
    "    \n",
    "    Args:\n",
    "        lifetime (pandas Series): Column containing the lifetime of the space debris in years\n",
    "        \n",
    "    Returns:\n",
    "        1 (int) - if the space debris belongs to Class 1\n",
    "        2 (int) - if the space debris belongs to Class 2\n",
    "        3 (int) - if the space debris belongs to Class 3\n",
    "    \"\"\"\n",
    "    if lifetime >= 1 and lifetime <= 3:\n",
    "        return 1\n",
    "    elif lifetime > 3 and lifetime <= 17:\n",
    "        return 2\n",
    "    else:\n",
    "        return 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7c6c82cd",
   "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>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>ACTUAL_LIFETIME</th>\n",
       "      <th>LIFETIME_CLASS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>THOR ABLESTAR R/B</td>\n",
       "      <td>30</td>\n",
       "      <td>1960-04-13</td>\n",
       "      <td>1961-08-18</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>SPUTNIK 4 DEB</td>\n",
       "      <td>37</td>\n",
       "      <td>1960-05-15</td>\n",
       "      <td>1961-06-30</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>62</td>\n",
       "      <td>1960-11-03</td>\n",
       "      <td>1985-10-27</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58146</th>\n",
       "      <td>CZ-7A R/B</td>\n",
       "      <td>58205</td>\n",
       "      <td>2023-11-03</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58516</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58575</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58517</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58576</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58522</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58581</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58558</th>\n",
       "      <td>FIREFLY ALPHA R/B</td>\n",
       "      <td>58617</td>\n",
       "      <td>2023-12-22</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15294 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID LAUNCH_DATE DECAY_DATE  \\\n",
       "22           JUNO II R/B            23  1959-10-13 1989-07-16   \n",
       "27         THOR ABLE R/B            28  1960-04-01 1991-07-03   \n",
       "29     THOR ABLESTAR R/B            30  1960-04-13 1961-08-18   \n",
       "36         SPUTNIK 4 DEB            37  1960-05-15 1961-06-30   \n",
       "61           JUNO II R/B            62  1960-11-03 1985-10-27   \n",
       "...                  ...           ...         ...        ...   \n",
       "58146          CZ-7A R/B         58205  2023-11-03 2024-01-14   \n",
       "58516          CZ-2F DEB         58575  2023-12-14 2024-01-19   \n",
       "58517          CZ-2F DEB         58576  2023-12-14 2024-01-07   \n",
       "58522          CZ-2F DEB         58581  2023-12-14 2024-01-01   \n",
       "58558  FIREFLY ALPHA R/B         58617  2023-12-22 2024-01-19   \n",
       "\n",
       "       ACTUAL_LIFETIME  LIFETIME_CLASS  \n",
       "22                  30               3  \n",
       "27                  31               3  \n",
       "29                   1               1  \n",
       "36                   1               1  \n",
       "61                  25               3  \n",
       "...                ...             ...  \n",
       "58146                1               1  \n",
       "58516                1               1  \n",
       "58517                1               1  \n",
       "58522                1               1  \n",
       "58558                1               1  \n",
       "\n",
       "[15294 rows x 6 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# classifies each space debris into one of three lifetime classes\n",
    "satcat_deb_df[\"LIFETIME_CLASS\"] = satcat_deb_df[\"ACTUAL_LIFETIME\"].apply(classify_lifetime)\n",
    "satcat_deb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a9e78fcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LIFETIME_CLASS\n",
       "1    5099\n",
       "2    5288\n",
       "3    4907\n",
       "dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rechecking the count of space debris belonging to a particular LIFETIME_CLASS\n",
    "satcat_deb_df.value_counts(\"LIFETIME_CLASS\", sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "59f690d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizing the count of space debris in each LIFETIME_CLASS\n",
    "plt.figure(figsize=(10,6))\n",
    "sns.countplot(x='LIFETIME_CLASS', data=satcat_deb_df, edgecolor=\"black\")\n",
    "plt.title(\"Count of space debris in the created lifetime class\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a3e5ea5",
   "metadata": {},
   "source": [
    "It can be seen that the number of objects belonging on a certain ```LIFETIME_CLASS``` is now roughly uniformly distributed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6def303f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Length of NORAD ID list: 15294\n",
      "First NORAD ID: 23\n",
      "Last NORAD ID: 58617\n"
     ]
    }
   ],
   "source": [
    "# storing the NORAD IDs the selected space debris to a list for TLE acquisition\n",
    "space_deb_norad_ids_list = list(satcat_deb_df[\"NORAD_CAT_ID\"])\n",
    "\n",
    "# checking\n",
    "print(f\"Length of NORAD ID list: {len(space_deb_norad_ids_list)}\")\n",
    "print(f\"First NORAD ID: {space_deb_norad_ids_list[0]}\")\n",
    "print(f\"Last NORAD ID: {space_deb_norad_ids_list[-1]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "16c03093",
   "metadata": {},
   "source": [
    "<a id='part_2'></a>\n",
    "\n",
    "## Part 2: Orbital Parameter Acquisition using TLE\n",
    "\n",
    "This part acquires all latest TLEs of the selected space debris from the previous part. After getting all the latest TLEs, the orbital parameters (and the drag) would be parsed. Later on, the acquired parameters for each space debris would be merged to the original DataFrame containing the lifetime of each space debris. The merged DataFrame would be the final output of this notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e95aa30",
   "metadata": {},
   "source": [
    "Getting the latest TLEs of all selected space debris:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2f0496ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating a spacetrack client using the spacetrack module\n",
    "from spacetrack import SpaceTrackClient\n",
    "\n",
    "# spacetrack_credentials.txt contains the space-track.org login credentials (to preserve privacy)\n",
    "# first line of the text file contains the username\n",
    "# second line of the text file contains the password\n",
    "with open(\"spacetrack_credentials.txt\", 'r') as f:\n",
    "    credentials = f.readlines()\n",
    "    \n",
    "username = credentials[0].rstrip() # the username can be put here directly as a string\n",
    "password = credentials[1].rstrip() # the password can be put here directly as a string\n",
    "\n",
    "st = SpaceTrackClient(username, password)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c477cbbd",
   "metadata": {},
   "source": [
    "References to the ```spacetrack``` module:\n",
    "\n",
    "* PyPI: https://pypi.org/project/spacetrack/\n",
    "* Documentation: https://spacetrack.readthedocs.io/en/stable/\n",
    "* GitHub: https://github.com/python-astrodynamics/spacetrack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "372f44b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of NORAD ID batches: 31\n"
     ]
    }
   ],
   "source": [
    "# dividing the NORAD ID list into batches of 500 NORAD IDs each to prevent timeout errors in the TLE acquisition\n",
    "space_deb_norad_ids_list_batches = [space_deb_norad_ids_list[i:i+500] for i in range(0, len(space_deb_norad_ids_list), 500)]\n",
    "\n",
    "# checking the number of batches\n",
    "print(f\"Number of NORAD ID batches: {len(space_deb_norad_ids_list_batches)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "643d15d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import time # to add a delay between TLE requests\n",
    "# Note: space-track.org limits API queries to less than 30 requests per minute / 300 requests per hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e8188679",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Batch 0 of NORAD IDs processed.\n",
      "Batch 1 of NORAD IDs processed.\n",
      "Batch 2 of NORAD IDs processed.\n",
      "Batch 3 of NORAD IDs processed.\n",
      "Batch 4 of NORAD IDs processed.\n",
      "Batch 5 of NORAD IDs processed.\n",
      "Batch 6 of NORAD IDs processed.\n",
      "Batch 7 of NORAD IDs processed.\n",
      "Batch 8 of NORAD IDs processed.\n",
      "Batch 9 of NORAD IDs processed.\n",
      "Batch 10 of NORAD IDs processed.\n",
      "Batch 11 of NORAD IDs processed.\n",
      "Batch 12 of NORAD IDs processed.\n",
      "Batch 13 of NORAD IDs processed.\n",
      "Batch 14 of NORAD IDs processed.\n",
      "Batch 15 of NORAD IDs processed.\n",
      "Batch 16 of NORAD IDs processed.\n",
      "Batch 17 of NORAD IDs processed.\n",
      "Batch 18 of NORAD IDs processed.\n",
      "Batch 19 of NORAD IDs processed.\n",
      "Batch 20 of NORAD IDs processed.\n",
      "Batch 21 of NORAD IDs processed.\n",
      "Batch 22 of NORAD IDs processed.\n",
      "Batch 23 of NORAD IDs processed.\n",
      "Batch 24 of NORAD IDs processed.\n",
      "Batch 25 of NORAD IDs processed.\n",
      "Batch 26 of NORAD IDs processed.\n",
      "Batch 27 of NORAD IDs processed.\n",
      "Batch 28 of NORAD IDs processed.\n",
      "Batch 29 of NORAD IDs processed.\n",
      "Batch 30 of NORAD IDs processed.\n",
      "\n",
      "All latest TLEs acquired.\n"
     ]
    }
   ],
   "source": [
    "# acquiring all the latest TLEs of the selected space debris\n",
    "# Note: it will take some time to download all the latest TLEs; and sometimes, a timeout error would be experienced\n",
    "\n",
    "# initializing a list containing strings of TLEs\n",
    "latest_tles_list = []\n",
    "\n",
    "# get all the latest TLEs of space debris in each NORAD ID batch\n",
    "for batch_num in range(len(space_deb_norad_ids_list_batches)):\n",
    "    latest_tles = st.tle_latest(norad_cat_id=space_deb_norad_ids_list_batches[batch_num], ordinal=1, format='tle')\n",
    "    latest_tles_list.append(latest_tles)\n",
    "    print(f\"Batch {batch_num} of NORAD IDs processed.\")\n",
    "    \n",
    "    # time delay before acquiring latest TLEs for another NORAD ID batch\n",
    "    time.sleep(5)\n",
    "    \n",
    "print()\n",
    "print(\"All latest TLEs acquired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5fa755d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# combining all TLE lines in a single big TLE string then splitting it for eventual orbital parameter acquisition\n",
    "appended_latest_tles = ''\n",
    "\n",
    "for latest_tles in latest_tles_list:\n",
    "    appended_latest_tles += latest_tles\n",
    "    \n",
    "# splitting the latest_tles string and storing each line as an element in a list\n",
    "latest_tles_splitted = appended_latest_tles.splitlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c19b06c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Acquired TLEs: 15200\n",
      "All selected space debris: 15294\n",
      "Difference: 94\n"
     ]
    }
   ],
   "source": [
    "# checking if all space debris have TLEs\n",
    "print(f\"Acquired TLEs: {len(latest_tles_splitted) // 2}\")\n",
    "print(f\"All selected space debris: {len(space_deb_norad_ids_list)}\")\n",
    "print(f\"Difference: {len(space_deb_norad_ids_list) - len(latest_tles_splitted) // 2}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "495d54bb",
   "metadata": {},
   "source": [
    "There are 94 TLEs missing."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ca6aaaa",
   "metadata": {},
   "source": [
    "Finding out which space debris have missing TLEs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "85179e90",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[29697, 29698, 29699, 29700, 29701, 29702, 29703, 29704, 29705, 29706, 29707, 13327, 2080, 13856, 13858, 6179, 13859, 13860, 13861, 13862, 13863, 13864, 13866, 13867, 28715, 28720, 2103, 24636, 13905, 5719, 14428, 14959, 8312, 27771, 5270, 39063, 39064, 39065, 39066, 14495, 21681, 4283, 1724, 4803, 709, 39121, 14035, 5845, 24790, 14042, 4832, 1762, 1781, 9474, 18203, 15134, 1824, 5412, 17714, 1845, 10551, 10552, 5444, 39257, 3420, 26467, 14697, 1908, 13690, 30589, 37261, 37262, 37263, 6041, 6051, 3500, 18868, 37815, 11193, 30651, 37833, 12784, 14832, 29683, 29684, 29685, 29686, 32244, 29689, 29691, 29692, 29693, 29694, 29695]\n",
      "\n",
      "Number of NORAD IDs with missing TLEs: 94\n"
     ]
    }
   ],
   "source": [
    "processed_norad_ids = []\n",
    "\n",
    "for i in range (0, len(latest_tles_splitted), 2): \n",
    "    # getting two lines at a time\n",
    "    two_lines = latest_tles_splitted[i:i+2]\n",
    "    \n",
    "    # getting only the second line to easily get the NORAD ID\n",
    "    line2 = two_lines[1]\n",
    "    \n",
    "    # collecting all processed NORAD IDs\n",
    "    processed_norad_ids.append(int(line2[2:7]))\n",
    "    \n",
    "# finding out which space debris have missing TLEs by checking the initial and the processed NORAD IDs\n",
    "norad_ids_of_missing_tles = list(set(space_deb_norad_ids_list) - set(processed_norad_ids))\n",
    "print(norad_ids_of_missing_tles)\n",
    "print()\n",
    "print(f\"Number of NORAD IDs with missing TLEs: {len(norad_ids_of_missing_tles)}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5005c2f9",
   "metadata": {},
   "source": [
    "Parsing the orbital parameters present in the TLEs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e89a8e5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import ephem # PyEphem astronomy library to process TLE data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c64d5934",
   "metadata": {},
   "source": [
    "References to the ```ephem``` module:\n",
    "\n",
    "* PyPI: https://pypi.org/project/ephem/\n",
    "* Website: https://rhodesmill.org/pyephem/\n",
    "* GitHub: https://github.com/brandon-rhodes/pyephem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "8422c9df",
   "metadata": {},
   "outputs": [],
   "source": [
    "orbital_params = [] # stores all of the processed orbital parameters from the latest TLEs\n",
    "\n",
    "for i in range (0, len(latest_tles_splitted), 2): \n",
    "    # getting two lines at a time\n",
    "    two_lines = latest_tles_splitted[i:i+2]\n",
    "    \n",
    "    # Sample TLE Reference:\n",
    "    # NOAA 14                 \n",
    "    # 1 23455U 94089A   97320.90946019  .00000140  00000-0  10191-3 0  2621\n",
    "    # 2 23455  99.0090 272.6745 0008546 223.1686 136.8816 14.11711747148495\n",
    "    line0 = \"SPACE DEBRIS NAME\" # exact space debris name is not really needed for processing, but exact name can be put\n",
    "    line1 = two_lines[0]\n",
    "    line2 = two_lines[1]\n",
    "    \n",
    "    # getting the NORAD ID from the TLE\n",
    "    norad_id_of_TLE = int(line2[2:7])\n",
    "    \n",
    "    # reading the TLE\n",
    "    space_obj = ephem.readtle(line0, line1, line2)\n",
    "    \n",
    "    # getting the orbital parameters from the TLE\n",
    "    space_obj_inc = space_obj.inc # Inclination\n",
    "    space_obj_eccen = space_obj.e # Eccentricity\n",
    "    space_obj_raan = space_obj.raan # Right Ascension of the Ascending Node\n",
    "    space_obj_argper = space_obj.ap # Argument of Perigee\n",
    "    space_obj_manomaly = space_obj.M # Mean Anomaly\n",
    "    space_obj_mmotion = space_obj.n # Mean Motion\n",
    "    space_obj_drag = space_obj.drag # Drag\n",
    "    \n",
    "    # [NORAD_ID, INCLINATION, ECCENTRICITY, RAAN, ARGUMENT_OF_PERIGEE, MEAN_ANOMALY, MEAN_MOTION, DRAG]\n",
    "    orbital_params.append([norad_id_of_TLE, space_obj_inc, space_obj_eccen, space_obj_raan, \n",
    "                           space_obj_argper, space_obj_manomaly, space_obj_mmotion, space_obj_drag])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "7c1d609e",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>INCLINATION</th>\n",
       "      <th>ECCENTRICITY</th>\n",
       "      <th>RAAN</th>\n",
       "      <th>ARGUMENT_OF_PERIGEE</th>\n",
       "      <th>MEAN_ANOMALY</th>\n",
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       "      <th>0</th>\n",
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       "      <td>50.267399</td>\n",
       "      <td>0.001834</td>\n",
       "      <td>226.973404</td>\n",
       "      <td>32.571201</td>\n",
       "      <td>327.563812</td>\n",
       "      <td>16.135613</td>\n",
       "      <td>0.003006</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28</td>\n",
       "      <td>48.342602</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>203.336899</td>\n",
       "      <td>333.182892</td>\n",
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       "      <td>16.401144</td>\n",
       "      <td>0.001474</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30</td>\n",
       "      <td>51.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>356.489197</td>\n",
       "      <td>331.947296</td>\n",
       "      <td>28.052601</td>\n",
       "      <td>16.293583</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>37</td>\n",
       "      <td>64.889900</td>\n",
       "      <td>0.019840</td>\n",
       "      <td>343.241089</td>\n",
       "      <td>333.420105</td>\n",
       "      <td>27.084000</td>\n",
       "      <td>15.498003</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>62</td>\n",
       "      <td>49.885201</td>\n",
       "      <td>0.000462</td>\n",
       "      <td>300.265198</td>\n",
       "      <td>342.185089</td>\n",
       "      <td>17.966299</td>\n",
       "      <td>16.411893</td>\n",
       "      <td>0.001403</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>15195</th>\n",
       "      <td>58205</td>\n",
       "      <td>16.580099</td>\n",
       "      <td>0.083127</td>\n",
       "      <td>217.119293</td>\n",
       "      <td>313.909698</td>\n",
       "      <td>175.890594</td>\n",
       "      <td>14.639418</td>\n",
       "      <td>0.002594</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15196</th>\n",
       "      <td>58575</td>\n",
       "      <td>49.753399</td>\n",
       "      <td>0.002256</td>\n",
       "      <td>83.155800</td>\n",
       "      <td>346.752686</td>\n",
       "      <td>13.287000</td>\n",
       "      <td>16.208685</td>\n",
       "      <td>0.005305</td>\n",
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       "    <tr>\n",
       "      <th>15197</th>\n",
       "      <td>58576</td>\n",
       "      <td>50.315899</td>\n",
       "      <td>0.003953</td>\n",
       "      <td>149.068497</td>\n",
       "      <td>297.012695</td>\n",
       "      <td>62.683498</td>\n",
       "      <td>16.090190</td>\n",
       "      <td>0.005161</td>\n",
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       "    <tr>\n",
       "      <th>15198</th>\n",
       "      <td>58581</td>\n",
       "      <td>50.253101</td>\n",
       "      <td>0.005231</td>\n",
       "      <td>188.243607</td>\n",
       "      <td>256.066101</td>\n",
       "      <td>103.450798</td>\n",
       "      <td>15.988498</td>\n",
       "      <td>0.005506</td>\n",
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       "    <tr>\n",
       "      <th>15199</th>\n",
       "      <td>58617</td>\n",
       "      <td>140.006699</td>\n",
       "      <td>0.003414</td>\n",
       "      <td>178.050995</td>\n",
       "      <td>14.218700</td>\n",
       "      <td>53.426998</td>\n",
       "      <td>16.397195</td>\n",
       "      <td>0.000534</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>15200 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       NORAD_CAT_ID  INCLINATION  ECCENTRICITY        RAAN  \\\n",
       "0                23    50.267399      0.001834  226.973404   \n",
       "1                28    48.342602      0.000363  203.336899   \n",
       "2                30    51.250000      0.000000  356.489197   \n",
       "3                37    64.889900      0.019840  343.241089   \n",
       "4                62    49.885201      0.000462  300.265198   \n",
       "...             ...          ...           ...         ...   \n",
       "15195         58205    16.580099      0.083127  217.119293   \n",
       "15196         58575    49.753399      0.002256   83.155800   \n",
       "15197         58576    50.315899      0.003953  149.068497   \n",
       "15198         58581    50.253101      0.005231  188.243607   \n",
       "15199         58617   140.006699      0.003414  178.050995   \n",
       "\n",
       "       ARGUMENT_OF_PERIGEE  MEAN_ANOMALY  MEAN_MOTION      DRAG  \n",
       "0                32.571201    327.563812    16.135613  0.003006  \n",
       "1               333.182892     26.922001    16.401144  0.001474  \n",
       "2               331.947296     28.052601    16.293583  0.000000  \n",
       "3               333.420105     27.084000    15.498003  0.000000  \n",
       "4               342.185089     17.966299    16.411893  0.001403  \n",
       "...                    ...           ...          ...       ...  \n",
       "15195           313.909698    175.890594    14.639418  0.002594  \n",
       "15196           346.752686     13.287000    16.208685  0.005305  \n",
       "15197           297.012695     62.683498    16.090190  0.005161  \n",
       "15198           256.066101    103.450798    15.988498  0.005506  \n",
       "15199            14.218700     53.426998    16.397195  0.000534  \n",
       "\n",
       "[15200 rows x 8 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# creating a data frame out of the list of orbital parameters\n",
    "# for reference: [NORAD_ID, INCLINATION, ECCENTRICITY,, RAAN, ARGUMENT_OF_PERIGEE, MEAN_ANOMALY, MEAN_MOTION, DRAG]\n",
    "orbital_params_df = pd.DataFrame(orbital_params, columns=[\"NORAD_CAT_ID\", \"INCLINATION\", \"ECCENTRICITY\", \"RAAN\", \n",
    "                                                          \"ARGUMENT_OF_PERIGEE\", \"MEAN_ANOMALY\", \"MEAN_MOTION\", \"DRAG\"])\n",
    "\n",
    "orbital_params_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8d23e901",
   "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>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>ACTUAL_LIFETIME</th>\n",
       "      <th>LIFETIME_CLASS</th>\n",
       "      <th>INCLINATION</th>\n",
       "      <th>ECCENTRICITY</th>\n",
       "      <th>RAAN</th>\n",
       "      <th>ARGUMENT_OF_PERIGEE</th>\n",
       "      <th>MEAN_ANOMALY</th>\n",
       "      <th>MEAN_MOTION</th>\n",
       "      <th>DRAG</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "      <td>50.267399</td>\n",
       "      <td>0.001834</td>\n",
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       "      <td>0.003006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>48.342602</td>\n",
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       "      <td>0.001474</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THOR ABLESTAR R/B</td>\n",
       "      <td>30</td>\n",
       "      <td>1960-04-13</td>\n",
       "      <td>1961-08-18</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>51.250000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SPUTNIK 4 DEB</td>\n",
       "      <td>37</td>\n",
       "      <td>1960-05-15</td>\n",
       "      <td>1961-06-30</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>64.889900</td>\n",
       "      <td>0.019840</td>\n",
       "      <td>343.241089</td>\n",
       "      <td>333.420105</td>\n",
       "      <td>27.084000</td>\n",
       "      <td>15.498003</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>62</td>\n",
       "      <td>1960-11-03</td>\n",
       "      <td>1985-10-27</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>49.885201</td>\n",
       "      <td>0.000462</td>\n",
       "      <td>300.265198</td>\n",
       "      <td>342.185089</td>\n",
       "      <td>17.966299</td>\n",
       "      <td>16.411893</td>\n",
       "      <td>0.001403</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>15195</th>\n",
       "      <td>CZ-7A R/B</td>\n",
       "      <td>58205</td>\n",
       "      <td>2023-11-03</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>16.580099</td>\n",
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       "      <td>313.909698</td>\n",
       "      <td>175.890594</td>\n",
       "      <td>14.639418</td>\n",
       "      <td>0.002594</td>\n",
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       "    <tr>\n",
       "      <th>15196</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58575</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>49.753399</td>\n",
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       "    <tr>\n",
       "      <th>15197</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58576</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-07</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>15198</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58581</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>1</td>\n",
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       "      <td>103.450798</td>\n",
       "      <td>15.988498</td>\n",
       "      <td>0.005506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15199</th>\n",
       "      <td>FIREFLY ALPHA R/B</td>\n",
       "      <td>58617</td>\n",
       "      <td>2023-12-22</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>140.006699</td>\n",
       "      <td>0.003414</td>\n",
       "      <td>178.050995</td>\n",
       "      <td>14.218700</td>\n",
       "      <td>53.426998</td>\n",
       "      <td>16.397195</td>\n",
       "      <td>0.000534</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15200 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID LAUNCH_DATE DECAY_DATE  \\\n",
       "0            JUNO II R/B            23  1959-10-13 1989-07-16   \n",
       "1          THOR ABLE R/B            28  1960-04-01 1991-07-03   \n",
       "2      THOR ABLESTAR R/B            30  1960-04-13 1961-08-18   \n",
       "3          SPUTNIK 4 DEB            37  1960-05-15 1961-06-30   \n",
       "4            JUNO II R/B            62  1960-11-03 1985-10-27   \n",
       "...                  ...           ...         ...        ...   \n",
       "15195          CZ-7A R/B         58205  2023-11-03 2024-01-14   \n",
       "15196          CZ-2F DEB         58575  2023-12-14 2024-01-19   \n",
       "15197          CZ-2F DEB         58576  2023-12-14 2024-01-07   \n",
       "15198          CZ-2F DEB         58581  2023-12-14 2024-01-01   \n",
       "15199  FIREFLY ALPHA R/B         58617  2023-12-22 2024-01-19   \n",
       "\n",
       "       ACTUAL_LIFETIME  LIFETIME_CLASS  INCLINATION  ECCENTRICITY        RAAN  \\\n",
       "0                   30               3    50.267399      0.001834  226.973404   \n",
       "1                   31               3    48.342602      0.000363  203.336899   \n",
       "2                    1               1    51.250000      0.000000  356.489197   \n",
       "3                    1               1    64.889900      0.019840  343.241089   \n",
       "4                   25               3    49.885201      0.000462  300.265198   \n",
       "...                ...             ...          ...           ...         ...   \n",
       "15195                1               1    16.580099      0.083127  217.119293   \n",
       "15196                1               1    49.753399      0.002256   83.155800   \n",
       "15197                1               1    50.315899      0.003953  149.068497   \n",
       "15198                1               1    50.253101      0.005231  188.243607   \n",
       "15199                1               1   140.006699      0.003414  178.050995   \n",
       "\n",
       "       ARGUMENT_OF_PERIGEE  MEAN_ANOMALY  MEAN_MOTION      DRAG  \n",
       "0                32.571201    327.563812    16.135613  0.003006  \n",
       "1               333.182892     26.922001    16.401144  0.001474  \n",
       "2               331.947296     28.052601    16.293583  0.000000  \n",
       "3               333.420105     27.084000    15.498003  0.000000  \n",
       "4               342.185089     17.966299    16.411893  0.001403  \n",
       "...                    ...           ...          ...       ...  \n",
       "15195           313.909698    175.890594    14.639418  0.002594  \n",
       "15196           346.752686     13.287000    16.208685  0.005305  \n",
       "15197           297.012695     62.683498    16.090190  0.005161  \n",
       "15198           256.066101    103.450798    15.988498  0.005506  \n",
       "15199            14.218700     53.426998    16.397195  0.000534  \n",
       "\n",
       "[15200 rows x 13 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merging the two dataframes\n",
    "# the rest of the space debris from the original dataframe of 15294 objects that doesn't have the NORAD ID of the final list\n",
    "# would automatically be filtered out\n",
    "final_space_debris_df = satcat_deb_df.merge(orbital_params_df, on=\"NORAD_CAT_ID\")\n",
    "final_space_debris_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "35a1feea",
   "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>OBJECT_NAME</th>\n",
       "      <th>NORAD_CAT_ID</th>\n",
       "      <th>INCLINATION</th>\n",
       "      <th>ECCENTRICITY</th>\n",
       "      <th>RAAN</th>\n",
       "      <th>ARGUMENT_OF_PERIGEE</th>\n",
       "      <th>MEAN_ANOMALY</th>\n",
       "      <th>MEAN_MOTION</th>\n",
       "      <th>DRAG</th>\n",
       "      <th>LAUNCH_DATE</th>\n",
       "      <th>DECAY_DATE</th>\n",
       "      <th>ACTUAL_LIFETIME</th>\n",
       "      <th>LIFETIME_CLASS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>23</td>\n",
       "      <td>50.267399</td>\n",
       "      <td>0.001834</td>\n",
       "      <td>226.973404</td>\n",
       "      <td>32.571201</td>\n",
       "      <td>327.563812</td>\n",
       "      <td>16.135613</td>\n",
       "      <td>0.003006</td>\n",
       "      <td>1959-10-13</td>\n",
       "      <td>1989-07-16</td>\n",
       "      <td>30</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>THOR ABLE R/B</td>\n",
       "      <td>28</td>\n",
       "      <td>48.342602</td>\n",
       "      <td>0.000363</td>\n",
       "      <td>203.336899</td>\n",
       "      <td>333.182892</td>\n",
       "      <td>26.922001</td>\n",
       "      <td>16.401144</td>\n",
       "      <td>0.001474</td>\n",
       "      <td>1960-04-01</td>\n",
       "      <td>1991-07-03</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THOR ABLESTAR R/B</td>\n",
       "      <td>30</td>\n",
       "      <td>51.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>356.489197</td>\n",
       "      <td>331.947296</td>\n",
       "      <td>28.052601</td>\n",
       "      <td>16.293583</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1960-04-13</td>\n",
       "      <td>1961-08-18</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SPUTNIK 4 DEB</td>\n",
       "      <td>37</td>\n",
       "      <td>64.889900</td>\n",
       "      <td>0.019840</td>\n",
       "      <td>343.241089</td>\n",
       "      <td>333.420105</td>\n",
       "      <td>27.084000</td>\n",
       "      <td>15.498003</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1960-05-15</td>\n",
       "      <td>1961-06-30</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>JUNO II R/B</td>\n",
       "      <td>62</td>\n",
       "      <td>49.885201</td>\n",
       "      <td>0.000462</td>\n",
       "      <td>300.265198</td>\n",
       "      <td>342.185089</td>\n",
       "      <td>17.966299</td>\n",
       "      <td>16.411893</td>\n",
       "      <td>0.001403</td>\n",
       "      <td>1960-11-03</td>\n",
       "      <td>1985-10-27</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15195</th>\n",
       "      <td>CZ-7A R/B</td>\n",
       "      <td>58205</td>\n",
       "      <td>16.580099</td>\n",
       "      <td>0.083127</td>\n",
       "      <td>217.119293</td>\n",
       "      <td>313.909698</td>\n",
       "      <td>175.890594</td>\n",
       "      <td>14.639418</td>\n",
       "      <td>0.002594</td>\n",
       "      <td>2023-11-03</td>\n",
       "      <td>2024-01-14</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15196</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58575</td>\n",
       "      <td>49.753399</td>\n",
       "      <td>0.002256</td>\n",
       "      <td>83.155800</td>\n",
       "      <td>346.752686</td>\n",
       "      <td>13.287000</td>\n",
       "      <td>16.208685</td>\n",
       "      <td>0.005305</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15197</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58576</td>\n",
       "      <td>50.315899</td>\n",
       "      <td>0.003953</td>\n",
       "      <td>149.068497</td>\n",
       "      <td>297.012695</td>\n",
       "      <td>62.683498</td>\n",
       "      <td>16.090190</td>\n",
       "      <td>0.005161</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15198</th>\n",
       "      <td>CZ-2F DEB</td>\n",
       "      <td>58581</td>\n",
       "      <td>50.253101</td>\n",
       "      <td>0.005231</td>\n",
       "      <td>188.243607</td>\n",
       "      <td>256.066101</td>\n",
       "      <td>103.450798</td>\n",
       "      <td>15.988498</td>\n",
       "      <td>0.005506</td>\n",
       "      <td>2023-12-14</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15199</th>\n",
       "      <td>FIREFLY ALPHA R/B</td>\n",
       "      <td>58617</td>\n",
       "      <td>140.006699</td>\n",
       "      <td>0.003414</td>\n",
       "      <td>178.050995</td>\n",
       "      <td>14.218700</td>\n",
       "      <td>53.426998</td>\n",
       "      <td>16.397195</td>\n",
       "      <td>0.000534</td>\n",
       "      <td>2023-12-22</td>\n",
       "      <td>2024-01-19</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15200 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             OBJECT_NAME  NORAD_CAT_ID  INCLINATION  ECCENTRICITY        RAAN  \\\n",
       "0            JUNO II R/B            23    50.267399      0.001834  226.973404   \n",
       "1          THOR ABLE R/B            28    48.342602      0.000363  203.336899   \n",
       "2      THOR ABLESTAR R/B            30    51.250000      0.000000  356.489197   \n",
       "3          SPUTNIK 4 DEB            37    64.889900      0.019840  343.241089   \n",
       "4            JUNO II R/B            62    49.885201      0.000462  300.265198   \n",
       "...                  ...           ...          ...           ...         ...   \n",
       "15195          CZ-7A R/B         58205    16.580099      0.083127  217.119293   \n",
       "15196          CZ-2F DEB         58575    49.753399      0.002256   83.155800   \n",
       "15197          CZ-2F DEB         58576    50.315899      0.003953  149.068497   \n",
       "15198          CZ-2F DEB         58581    50.253101      0.005231  188.243607   \n",
       "15199  FIREFLY ALPHA R/B         58617   140.006699      0.003414  178.050995   \n",
       "\n",
       "       ARGUMENT_OF_PERIGEE  MEAN_ANOMALY  MEAN_MOTION      DRAG LAUNCH_DATE  \\\n",
       "0                32.571201    327.563812    16.135613  0.003006  1959-10-13   \n",
       "1               333.182892     26.922001    16.401144  0.001474  1960-04-01   \n",
       "2               331.947296     28.052601    16.293583  0.000000  1960-04-13   \n",
       "3               333.420105     27.084000    15.498003  0.000000  1960-05-15   \n",
       "4               342.185089     17.966299    16.411893  0.001403  1960-11-03   \n",
       "...                    ...           ...          ...       ...         ...   \n",
       "15195           313.909698    175.890594    14.639418  0.002594  2023-11-03   \n",
       "15196           346.752686     13.287000    16.208685  0.005305  2023-12-14   \n",
       "15197           297.012695     62.683498    16.090190  0.005161  2023-12-14   \n",
       "15198           256.066101    103.450798    15.988498  0.005506  2023-12-14   \n",
       "15199            14.218700     53.426998    16.397195  0.000534  2023-12-22   \n",
       "\n",
       "      DECAY_DATE  ACTUAL_LIFETIME  LIFETIME_CLASS  \n",
       "0     1989-07-16               30               3  \n",
       "1     1991-07-03               31               3  \n",
       "2     1961-08-18                1               1  \n",
       "3     1961-06-30                1               1  \n",
       "4     1985-10-27               25               3  \n",
       "...          ...              ...             ...  \n",
       "15195 2024-01-14                1               1  \n",
       "15196 2024-01-19                1               1  \n",
       "15197 2024-01-07                1               1  \n",
       "15198 2024-01-01                1               1  \n",
       "15199 2024-01-19                1               1  \n",
       "\n",
       "[15200 rows x 13 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dropping and rearranging columns - moving the information about the lifetime as the last columns\n",
    "final_space_debris_df = final_space_debris_df.reindex([\"OBJECT_NAME\", \"NORAD_CAT_ID\", \n",
    "                                                       \"INCLINATION\", \"ECCENTRICITY\", \"RAAN\", \"ARGUMENT_OF_PERIGEE\",\n",
    "                                                       \"MEAN_ANOMALY\", \"MEAN_MOTION\", \"DRAG\", \n",
    "                                                       \"LAUNCH_DATE\", \"DECAY_DATE\", \"ACTUAL_LIFETIME\", \"LIFETIME_CLASS\"], \n",
    "                                                      axis=\"columns\")\n",
    "\n",
    "final_space_debris_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "2e8a79d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LIFETIME_CLASS\n",
       "1    5056\n",
       "2    5243\n",
       "3    4901\n",
       "dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rechecking the count of space debris belonging to a particular LIFETIME_CLASS\n",
    "final_space_debris_df.value_counts(\"LIFETIME_CLASS\", sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "239ebe1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizing the count of space debris in each LIFETIME_CLASS taking into account those space debris with missing TLEs\n",
    "plt.figure(figsize=(10,6))\n",
    "sns.countplot(x='LIFETIME_CLASS', data=final_space_debris_df, edgecolor=\"black\")\n",
    "plt.title(\"Count of space debris in the created lifetime class \\n (after removing space debris with missing TLEs)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "728fde89",
   "metadata": {},
   "source": [
    "As can be seen, the number of space debris belonging to a certain ```LIFETIME_CLASS``` is still roughly uniformly distributed even after removing those space debris that do no have TLEs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1cc39a29",
   "metadata": {},
   "outputs": [],
   "source": [
    "# saving the processed data to a CSV file for later ingestion to the ML model\n",
    "final_space_debris_df.to_csv(\"final_space_debris_df.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fdfdf05d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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