cometa_Cobs_API.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Librerías\n",
    "import requests\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "from astroquery.mpc import MPC"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cobs API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Verificar la conexión a internet.\n",
    "def verificar_conexion():\n",
    "    try:\n",
    "        requests.get(\"http://www.google.com\", timeout=5)\n",
    "        print('✅ Conectado a internet.')\n",
    "        return True\n",
    "    \n",
    "    except requests.ConnectionError:\n",
    "        print('🛑 Sin conexión a internet.')\n",
    "        return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ Conectado a internet.\n",
      "✅ Base de datos actualizada.\n"
     ]
    }
   ],
   "source": [
    "# Conexión con la API de COBS\n",
    "nombre_cometa =  'C/2023 A3'\n",
    "Link_cops_API = f'https://cobs.si/api/obs_list.api?des={nombre_cometa}&format=json&from_date=&to_date=&exclude_faint=False&exclude_not_accurate=False'\n",
    "\n",
    "if verificar_conexion():\n",
    "    response = requests.get(Link_cops_API)\n",
    "\n",
    "\n",
    "if response.status_code == 200:\n",
    "    content = response.json()\n",
    "    print('✅ Base de datos actualizada.')\n",
    "\n",
    "else:\n",
    "    print(f'🛑 Se presentó un error al cargar la base de datos.\\nError: {response.status_code}\\n{response.content}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1168 entries, 0 to 1167\n",
      "Data columns (total 47 columns):\n",
      " #   Column                     Non-Null Count  Dtype  \n",
      "---  ------                     --------------  -----  \n",
      " 0   type                       1168 non-null   object \n",
      " 1   obs_date                   1168 non-null   object \n",
      " 2   comet                      1168 non-null   object \n",
      " 3   observer                   1168 non-null   object \n",
      " 4   location                   531 non-null    object \n",
      " 5   extinction                 70 non-null     object \n",
      " 6   obs_method                 1168 non-null   object \n",
      " 7   comet_visibility           3 non-null      object \n",
      " 8   magnitude                  1168 non-null   object \n",
      " 9   conditions                 21 non-null     object \n",
      " 10  ref_catalog                1168 non-null   object \n",
      " 11  instrument_aperture        1168 non-null   object \n",
      " 12  instrument_type            1168 non-null   object \n",
      " 13  instrument_focal_ratio     1020 non-null   float64\n",
      " 14  instrument_power           1156 non-null   float64\n",
      " 15  coma_visibility            11 non-null     object \n",
      " 16  coma_diameter              1076 non-null   object \n",
      " 17  coma_notes                 4 non-null      object \n",
      " 18  coma_dc                    478 non-null    object \n",
      " 19  tail_visibility            5 non-null      object \n",
      " 20  tail_length                601 non-null    object \n",
      " 21  tail_length_unit           592 non-null    object \n",
      " 22  tail_pa                    577 non-null    float64\n",
      " 23  icq_reference              986 non-null    object \n",
      " 24  icq_revision               435 non-null    object \n",
      " 25  comparison_field           550 non-null    object \n",
      " 26  integration_time           78 non-null     float64\n",
      " 27  photometry_aperture_shape  655 non-null    object \n",
      " 28  photometry_aperture_size   650 non-null    object \n",
      " 29  photometry_aperture_unit   648 non-null    object \n",
      " 30  camera_type                660 non-null    object \n",
      " 31  chip_type                  654 non-null    object \n",
      " 32  software_type              714 non-null    object \n",
      " 33  image_correction           645 non-null    float64\n",
      " 34  observation_published      760 non-null    object \n",
      " 35  image_number               453 non-null    float64\n",
      " 36  image_coadded              756 non-null    object \n",
      " 37  magnitude_error            294 non-null    object \n",
      " 38  comparison_star_magnitude  94 non-null     object \n",
      " 39  pixel_size_x               623 non-null    object \n",
      " 40  pixel_size_y               623 non-null    object \n",
      " 41  pixel_size_unit            623 non-null    object \n",
      " 42  obs_comment                1168 non-null   object \n",
      " 43  obs_sky_quality            88 non-null     object \n",
      " 44  obs_sky_quality_method     86 non-null     float64\n",
      " 45  reference_star_names       1168 non-null   object \n",
      " 46  date_added                 1168 non-null   object \n",
      "dtypes: float64(7), object(40)\n",
      "memory usage: 429.0+ KB\n"
     ]
    }
   ],
   "source": [
    "# Creación del data frame Cometa\n",
    "cometa_df = pd.DataFrame(content['objects'])\n",
    "cometa_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Registros: 1168\n",
      "Variables: 47\n"
     ]
    }
   ],
   "source": [
    "# Sin filtrar la información\n",
    "filas,columnas = cometa_df.shape\n",
    "print(f'Registros: {filas}\\nVariables: {columnas}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "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>type</th>\n",
       "      <th>obs_date</th>\n",
       "      <th>comet</th>\n",
       "      <th>observer</th>\n",
       "      <th>location</th>\n",
       "      <th>extinction</th>\n",
       "      <th>obs_method</th>\n",
       "      <th>comet_visibility</th>\n",
       "      <th>magnitude</th>\n",
       "      <th>conditions</th>\n",
       "      <th>...</th>\n",
       "      <th>magnitude_error</th>\n",
       "      <th>comparison_star_magnitude</th>\n",
       "      <th>pixel_size_x</th>\n",
       "      <th>pixel_size_y</th>\n",
       "      <th>pixel_size_unit</th>\n",
       "      <th>obs_comment</th>\n",
       "      <th>obs_sky_quality</th>\n",
       "      <th>obs_sky_quality_method</th>\n",
       "      <th>reference_star_names</th>\n",
       "      <th>date_added</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>V</td>\n",
       "      <td>2024-04-30 21:07:11</td>\n",
       "      <td>{'type': 'C', 'name': 'C/2023 A3', 'fullname':...</td>\n",
       "      <td>{'first_name': 'Piotr', 'last_name': 'Guzik', ...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>{'key': 'M', 'name': 'Modified-Out method', 's...</td>\n",
       "      <td>None</td>\n",
       "      <td>10.1</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>2024-04-30 21:21:32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>C</td>\n",
       "      <td>2024-05-29 23:16:47</td>\n",
       "      <td>{'type': 'C', 'name': 'C/2023 A3', 'fullname':...</td>\n",
       "      <td>{'first_name': 'Pieter-Jan', 'last_name': 'Dek...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>{'key': 'C', 'name': 'Unfiltered total CCD mag...</td>\n",
       "      <td>None</td>\n",
       "      <td>10.9</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>0.06</td>\n",
       "      <td>None</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>s</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>2024-06-09 09:26:42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>V</td>\n",
       "      <td>2024-06-03 23:45:36</td>\n",
       "      <td>{'type': 'C', 'name': 'C/2023 A3', 'fullname':...</td>\n",
       "      <td>{'first_name': 'Jose Guilherme', 'last_name': ...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>{'key': 'M', 'name': 'Modified-Out method', 's...</td>\n",
       "      <td>None</td>\n",
       "      <td>10.5</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>2024-06-11 12:22:38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>C</td>\n",
       "      <td>2024-03-16 22:05:00</td>\n",
       "      <td>{'type': 'C', 'name': 'C/2023 A3', 'fullname':...</td>\n",
       "      <td>{'first_name': 'Jiarui', 'last_name': 'Xiong',...</td>\n",
       "      <td>Xingyuan Observatory, Daocheng, China(remote)</td>\n",
       "      <td>None</td>\n",
       "      <td>{'key': 'C', 'name': 'Unfiltered total CCD mag...</td>\n",
       "      <td>None</td>\n",
       "      <td>11.9</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>0.10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Obs: C. Guo, Y. Lu, J. Xiong; Mea: J. Xiong, Z...</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "      <td>2024-03-17 06:59:56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>V</td>\n",
       "      <td>2024-05-05 22:09:00</td>\n",
       "      <td>{'type': 'C', 'name': 'C/2023 A3', 'fullname':...</td>\n",
       "      <td>{'first_name': 'Christian', 'last_name': 'Hard...</td>\n",
       "      <td>Jeersdorf f</td>\n",
       "      <td>None</td>\n",
       "      <td>{'key': 'S', 'name': 'In-Out method', 'source'...</td>\n",
       "      <td>None</td>\n",
       "      <td>10.6</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td></td>\n",
       "      <td>20.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td></td>\n",
       "      <td>2024-05-06 09:13:07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    type             obs_date  \\\n",
       "653    V  2024-04-30 21:07:11   \n",
       "319    C  2024-05-29 23:16:47   \n",
       "276    V  2024-06-03 23:45:36   \n",
       "892    C  2024-03-16 22:05:00   \n",
       "567    V  2024-05-05 22:09:00   \n",
       "\n",
       "                                                 comet  \\\n",
       "653  {'type': 'C', 'name': 'C/2023 A3', 'fullname':...   \n",
       "319  {'type': 'C', 'name': 'C/2023 A3', 'fullname':...   \n",
       "276  {'type': 'C', 'name': 'C/2023 A3', 'fullname':...   \n",
       "892  {'type': 'C', 'name': 'C/2023 A3', 'fullname':...   \n",
       "567  {'type': 'C', 'name': 'C/2023 A3', 'fullname':...   \n",
       "\n",
       "                                              observer  \\\n",
       "653  {'first_name': 'Piotr', 'last_name': 'Guzik', ...   \n",
       "319  {'first_name': 'Pieter-Jan', 'last_name': 'Dek...   \n",
       "276  {'first_name': 'Jose Guilherme', 'last_name': ...   \n",
       "892  {'first_name': 'Jiarui', 'last_name': 'Xiong',...   \n",
       "567  {'first_name': 'Christian', 'last_name': 'Hard...   \n",
       "\n",
       "                                          location extinction  \\\n",
       "653                                           None       None   \n",
       "319                                           None       None   \n",
       "276                                           None       None   \n",
       "892  Xingyuan Observatory, Daocheng, China(remote)       None   \n",
       "567                                    Jeersdorf f       None   \n",
       "\n",
       "                                            obs_method comet_visibility  \\\n",
       "653  {'key': 'M', 'name': 'Modified-Out method', 's...             None   \n",
       "319  {'key': 'C', 'name': 'Unfiltered total CCD mag...             None   \n",
       "276  {'key': 'M', 'name': 'Modified-Out method', 's...             None   \n",
       "892  {'key': 'C', 'name': 'Unfiltered total CCD mag...             None   \n",
       "567  {'key': 'S', 'name': 'In-Out method', 'source'...             None   \n",
       "\n",
       "    magnitude conditions  ... magnitude_error comparison_star_magnitude  \\\n",
       "653      10.1       None  ...            None                      None   \n",
       "319      10.9       None  ...            0.06                      None   \n",
       "276      10.5       None  ...            None                      None   \n",
       "892      11.9       None  ...            0.10                      None   \n",
       "567      10.6       None  ...            None                      None   \n",
       "\n",
       "    pixel_size_x  pixel_size_y  pixel_size_unit  \\\n",
       "653         None          None             None   \n",
       "319          1.1           1.1                s   \n",
       "276         None          None             None   \n",
       "892         None          None             None   \n",
       "567         None          None             None   \n",
       "\n",
       "                                           obs_comment obs_sky_quality  \\\n",
       "653                                                               None   \n",
       "319                                                               None   \n",
       "276                                                               None   \n",
       "892  Obs: C. Guo, Y. Lu, J. Xiong; Mea: J. Xiong, Z...            None   \n",
       "567                                                               20.7   \n",
       "\n",
       "    obs_sky_quality_method reference_star_names           date_added  \n",
       "653                    NaN                       2024-04-30 21:21:32  \n",
       "319                    NaN                       2024-06-09 09:26:42  \n",
       "276                    NaN                       2024-06-11 12:22:38  \n",
       "892                    NaN                       2024-03-17 06:59:56  \n",
       "567                    3.0                       2024-05-06 09:13:07  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Base de datos arrojada por la API\n",
    "cometa_df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "obs_method\n",
       "C: Unfiltered total CCD magnitude            341\n",
       "Z: CCD Visual equivalent                     292\n",
       "S: In-Out method                             196\n",
       "M: Modified-Out method                       181\n",
       "V: Johnson/Bessel/Kron/Cousins V with CCD     80\n",
       "k: Kron/Cousins R with CCD                    21\n",
       "B: Simple Out-Out method                      19\n",
       "H: Kron/Cousins I with CCD                    17\n",
       "D: Johnson/Bessel/Kron/Cousins B with CCD     10\n",
       "c: Unfiltered nuclear CCD magnitude            8\n",
       "d: Astrodon G filter                           2\n",
       "E: Extrafocal-Extinction method                1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Métodos de observación\n",
    "cometa_df.obs_method.apply(lambda registro: f'{registro['key']}: {registro['name']}').value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tratamiento de los datos de interés\n",
    "cometa_df['obs_method_key'] = cometa_df.obs_method.apply(lambda registro: registro['key'])\n",
    "cometa_df['obs_date'] = pd.to_datetime(pd.to_datetime(cometa_df.obs_date).dt.date)\n",
    "cometa_df['magnitude'] = pd.to_numeric(cometa_df.magnitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1168 entries, 0 to 1167\n",
      "Data columns (total 3 columns):\n",
      " #   Column          Non-Null Count  Dtype         \n",
      "---  ------          --------------  -----         \n",
      " 0   obs_method_key  1168 non-null   object        \n",
      " 1   obs_date        1168 non-null   datetime64[ns]\n",
      " 2   magnitude       1168 non-null   float64       \n",
      "dtypes: datetime64[ns](1), float64(1), object(1)\n",
      "memory usage: 27.5+ KB\n"
     ]
    }
   ],
   "source": [
    "# Creación del data frame curva de luz cruda\n",
    "curva_de_luz_cruda_df = cometa_df[['obs_method_key', 'obs_date', 'magnitude']].copy()\n",
    "curva_de_luz_cruda_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Registros: 1168\n",
      "Variables: 3\n"
     ]
    }
   ],
   "source": [
    "# Con la información filtrada\n",
    "filas,columnas = curva_de_luz_cruda_df.shape\n",
    "print(f'Registros: {filas}\\nVariables: {columnas}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "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>obs_method_key</th>\n",
       "      <th>obs_date</th>\n",
       "      <th>magnitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>Z</td>\n",
       "      <td>2024-06-11</td>\n",
       "      <td>10.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-05-14</td>\n",
       "      <td>16.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-05-22</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>M</td>\n",
       "      <td>2024-05-08</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>M</td>\n",
       "      <td>2024-07-02</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     obs_method_key   obs_date  magnitude\n",
       "207               Z 2024-06-11       10.2\n",
       "1107              C 2023-05-14       16.7\n",
       "1094              C 2023-05-22       16.5\n",
       "542               M 2024-05-08       10.4\n",
       "109               M 2024-07-02       10.0"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data Frame de la curva de luz\n",
    "curva_de_luz_cruda_df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
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            "ticks": "",
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            "gridwidth": 2,
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          "ternary": {
           "aaxis": {
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            "ticks": ""
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           "baxis": {
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            "linecolor": "#506784",
            "ticks": ""
           },
           "bgcolor": "rgb(17,17,17)",
           "caxis": {
            "gridcolor": "#506784",
            "linecolor": "#506784",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "updatemenudefaults": {
           "bgcolor": "#506784",
           "borderwidth": 0
          },
          "xaxis": {
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           "gridcolor": "#283442",
           "linecolor": "#506784",
           "ticks": "",
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          },
          "yaxis": {
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           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
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         }
        },
        "title": {
         "text": "Lightcurve of comet C/2023 A3 (Tsuchinshan-ATLAS)"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Observation Date"
         }
        },
        "yaxis": {
         "anchor": "x",
         "autorange": "reversed",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Apparent total magnitude"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Curva de luz cruda.\n",
    "labels = {'obs_date':'Observation Date','magnitude':'Apparent total magnitude', 'obs_method_key' : 'Observation Method'}\n",
    "fig = px.scatter(curva_de_luz_cruda_df, x='obs_date', y='magnitude', color='obs_method_key', template= 'plotly_dark', labels= labels, title= f'Lightcurve of comet {nombre_cometa} (Tsuchinshan-ATLAS)')\n",
    "fig.update_yaxes(autorange=\"reversed\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MPC API usando astroquery."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>ra</th>\n",
       "      <th>dec</th>\n",
       "      <th>delta</th>\n",
       "      <th>r</th>\n",
       "      <th>elongation</th>\n",
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       "      <th>0</th>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>230.565833</td>\n",
       "      <td>-1.256389</td>\n",
       "      <td>6.946</td>\n",
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       "      <td>8.17</td>\n",
       "      <td>318.9</td>\n",
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       "      <th>1</th>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>230.528333</td>\n",
       "      <td>-1.214722</td>\n",
       "      <td>6.921</td>\n",
       "      <td>7.281</td>\n",
       "      <td>107.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>17.6</td>\n",
       "      <td>8.51</td>\n",
       "      <td>317.4</td>\n",
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       "      <th>2</th>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>230.488750</td>\n",
       "      <td>-1.172778</td>\n",
       "      <td>6.896</td>\n",
       "      <td>7.272</td>\n",
       "      <td>108.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>17.6</td>\n",
       "      <td>8.86</td>\n",
       "      <td>316.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-02-28</td>\n",
       "      <td>230.446667</td>\n",
       "      <td>-1.130000</td>\n",
       "      <td>6.871</td>\n",
       "      <td>7.264</td>\n",
       "      <td>109.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>17.6</td>\n",
       "      <td>9.21</td>\n",
       "      <td>314.7</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>230.401667</td>\n",
       "      <td>-1.086389</td>\n",
       "      <td>6.847</td>\n",
       "      <td>7.255</td>\n",
       "      <td>110.6</td>\n",
       "      <td>7.3</td>\n",
       "      <td>17.6</td>\n",
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       "      <td>2024-09-15</td>\n",
       "      <td>159.033333</td>\n",
       "      <td>-5.285556</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.519</td>\n",
       "      <td>16.2</td>\n",
       "      <td>32.7</td>\n",
       "      <td>5.0</td>\n",
       "      <td>24.61</td>\n",
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       "      <th>569</th>\n",
       "      <td>2024-09-16</td>\n",
       "      <td>158.937917</td>\n",
       "      <td>-5.411111</td>\n",
       "      <td>1.370</td>\n",
       "      <td>0.503</td>\n",
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       "      <td>22.56</td>\n",
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       "      <th>570</th>\n",
       "      <td>2024-09-17</td>\n",
       "      <td>158.860417</td>\n",
       "      <td>-5.530556</td>\n",
       "      <td>1.337</td>\n",
       "      <td>0.487</td>\n",
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       "      <td>2024-09-18</td>\n",
       "      <td>158.806667</td>\n",
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       "      <td>2024-09-19</td>\n",
       "      <td>158.782917</td>\n",
       "      <td>-5.747222</td>\n",
       "      <td>1.267</td>\n",
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       "      <td>4.3</td>\n",
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       "          date          ra       dec  delta      r  elongation  phase     v  \\\n",
       "0   2023-02-25  230.565833 -1.256389  6.946  7.290       106.6    7.5  17.6   \n",
       "1   2023-02-26  230.528333 -1.214722  6.921  7.281       107.6    7.4  17.6   \n",
       "2   2023-02-27  230.488750 -1.172778  6.896  7.272       108.6    7.4  17.6   \n",
       "3   2023-02-28  230.446667 -1.130000  6.871  7.264       109.6    7.4  17.6   \n",
       "4   2023-03-01  230.401667 -1.086389  6.847  7.255       110.6    7.3  17.6   \n",
       "..         ...         ...       ...    ...    ...         ...    ...   ...   \n",
       "568 2024-09-15  159.033333 -5.285556  1.402  0.519        16.2   32.7   5.0   \n",
       "569 2024-09-16  158.937917 -5.411111  1.370  0.503        16.9   35.6   4.8   \n",
       "570 2024-09-17  158.860417 -5.530556  1.337  0.487        17.7   38.8   4.6   \n",
       "571 2024-09-18  158.806667 -5.643056  1.302  0.472        18.4   42.3   4.5   \n",
       "572 2024-09-19  158.782917 -5.747222  1.267  0.458        19.1   46.0   4.3   \n",
       "\n",
       "     proper_motion  direction  \n",
       "0             8.17      318.9  \n",
       "1             8.51      317.4  \n",
       "2             8.86      316.0  \n",
       "3             9.21      314.7  \n",
       "4             9.56      313.4  \n",
       "..             ...        ...  \n",
       "568          24.61      218.6  \n",
       "569          22.56      215.3  \n",
       "570          20.08      209.8  \n",
       "571          17.34      200.1  \n",
       "572          14.95      183.2  \n",
       "\n",
       "[573 rows x 10 columns]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creación de data frame Ephemeris (conexión con la API del MPC)\n",
    "fecha_inicial = curva_de_luz_cruda_df.obs_date.min()\n",
    "fecha_final = curva_de_luz_cruda_df.obs_date.max()\n",
    "fechas = (fecha_final - fecha_inicial).days + 1 if (fecha_final - fecha_inicial).days <= 1441 else 1441\n",
    "\n",
    "ephemeris = MPC.get_ephemeris(nombre_cometa, start = str(fecha_inicial), number = fechas) # type: ignore\n",
    "\n",
    "ephemeris_df = ephemeris.to_pandas()\n",
    "ephemeris_df.columns = ephemeris_df.columns.str.lower().str.replace(' ', '_')\n",
    "ephemeris_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 573 entries, 0 to 572\n",
      "Data columns (total 10 columns):\n",
      " #   Column         Non-Null Count  Dtype         \n",
      "---  ------         --------------  -----         \n",
      " 0   date           573 non-null    datetime64[ns]\n",
      " 1   ra             573 non-null    float64       \n",
      " 2   dec            573 non-null    float64       \n",
      " 3   delta          573 non-null    float64       \n",
      " 4   r              573 non-null    float64       \n",
      " 5   elongation     573 non-null    float64       \n",
      " 6   phase          573 non-null    float64       \n",
      " 7   v              573 non-null    float64       \n",
      " 8   proper_motion  573 non-null    float64       \n",
      " 9   direction      573 non-null    float64       \n",
      "dtypes: datetime64[ns](1), float64(9)\n",
      "memory usage: 44.9 KB\n"
     ]
    }
   ],
   "source": [
    "# Info del data frame ephemeris\n",
    "ephemeris_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "date             datetime64[ns]\n",
       "ra                      float64\n",
       "dec                     float64\n",
       "delta                   float64\n",
       "r                       float64\n",
       "elongation              float64\n",
       "phase                   float64\n",
       "v                       float64\n",
       "proper_motion           float64\n",
       "direction               float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dar a los datos el formato deseado\n",
    "ephemeris_df.date = pd.to_datetime(ephemeris_df.date)\n",
    "ephemeris_df.date = pd.to_datetime(ephemeris_df.date.dt.date)\n",
    "ephemeris_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>obs_date</th>\n",
       "      <th>delta</th>\n",
       "      <th>r</th>\n",
       "      <th>phase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>6.921</td>\n",
       "      <td>7.281</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>6.896</td>\n",
       "      <td>7.272</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-02-28</td>\n",
       "      <td>6.871</td>\n",
       "      <td>7.264</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>6.847</td>\n",
       "      <td>7.255</td>\n",
       "      <td>7.3</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>568</th>\n",
       "      <td>2024-09-15</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.519</td>\n",
       "      <td>32.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>2024-09-16</td>\n",
       "      <td>1.370</td>\n",
       "      <td>0.503</td>\n",
       "      <td>35.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>2024-09-17</td>\n",
       "      <td>1.337</td>\n",
       "      <td>0.487</td>\n",
       "      <td>38.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>2024-09-18</td>\n",
       "      <td>1.302</td>\n",
       "      <td>0.472</td>\n",
       "      <td>42.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>573 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      obs_date  delta      r  phase\n",
       "0   2023-02-25  6.946  7.290    7.5\n",
       "1   2023-02-26  6.921  7.281    7.4\n",
       "2   2023-02-27  6.896  7.272    7.4\n",
       "3   2023-02-28  6.871  7.264    7.4\n",
       "4   2023-03-01  6.847  7.255    7.3\n",
       "..         ...    ...    ...    ...\n",
       "568 2024-09-15  1.402  0.519   32.7\n",
       "569 2024-09-16  1.370  0.503   35.6\n",
       "570 2024-09-17  1.337  0.487   38.8\n",
       "571 2024-09-18  1.302  0.472   42.3\n",
       "572 2024-09-19  1.267  0.458   46.0\n",
       "\n",
       "[573 rows x 4 columns]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creación del data frame ephemeris filtrada\n",
    "ephemeris_filtrada_df = ephemeris_df[['date', 'delta','r', 'phase']].copy()\n",
    "ephemeris_filtrada_df = ephemeris_filtrada_df.rename(columns = {'date':'obs_date'})\n",
    "ephemeris_filtrada_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Unión de las bases de datos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>obs_method_key</th>\n",
       "      <th>obs_date</th>\n",
       "      <th>magnitude</th>\n",
       "      <th>delta</th>\n",
       "      <th>r</th>\n",
       "      <th>phase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>V</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>V</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>k</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>k</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M</td>\n",
       "      <td>2024-09-18</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.302</td>\n",
       "      <td>0.472</td>\n",
       "      <td>42.3</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>1163</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.896</td>\n",
       "      <td>7.272</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>18.1</td>\n",
       "      <td>6.921</td>\n",
       "      <td>7.281</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1165</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>18.2</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>17.9</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1167</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>18.3</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1168 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     obs_method_key   obs_date  magnitude  delta      r  phase\n",
       "0                 V 2024-09-19        4.2  1.267  0.458   46.0\n",
       "1                 V 2024-09-19        4.5  1.267  0.458   46.0\n",
       "2                 k 2024-09-19        4.1  1.267  0.458   46.0\n",
       "3                 k 2024-09-19        3.7  1.267  0.458   46.0\n",
       "4                 M 2024-09-18        4.2  1.302  0.472   42.3\n",
       "...             ...        ...        ...    ...    ...    ...\n",
       "1163              C 2023-02-27       18.0  6.896  7.272    7.4\n",
       "1164              C 2023-02-26       18.1  6.921  7.281    7.4\n",
       "1165              C 2023-02-25       18.2  6.946  7.290    7.5\n",
       "1166              C 2023-02-25       17.9  6.946  7.290    7.5\n",
       "1167              C 2023-02-25       18.3  6.946  7.290    7.5\n",
       "\n",
       "[1168 rows x 6 columns]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Unión de las bases de datos COBS y MPC\n",
    "curva_de_luz_procesada_df = curva_de_luz_cruda_df.merge(ephemeris_filtrada_df, on='obs_date')\n",
    "curva_de_luz_procesada_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1168 entries, 0 to 1167\n",
      "Data columns (total 6 columns):\n",
      " #   Column          Non-Null Count  Dtype         \n",
      "---  ------          --------------  -----         \n",
      " 0   obs_method_key  1168 non-null   object        \n",
      " 1   obs_date        1168 non-null   datetime64[ns]\n",
      " 2   magnitude       1168 non-null   float64       \n",
      " 3   delta           1168 non-null   float64       \n",
      " 4   r               1168 non-null   float64       \n",
      " 5   phase           1168 non-null   float64       \n",
      "dtypes: datetime64[ns](1), float64(4), object(1)\n",
      "memory usage: 54.9+ KB\n"
     ]
    }
   ],
   "source": [
    "# Información del data frame curva de lus procesada\n",
    "curva_de_luz_procesada_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>obs_method_key</th>\n",
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       "      <th>magnitude</th>\n",
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       "      <td>46.0</td>\n",
       "      <td>5.381790</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>V</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "      <td>5.681790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>k</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "      <td>5.281790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>k</td>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "      <td>4.881790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M</td>\n",
       "      <td>2024-09-18</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.302</td>\n",
       "      <td>0.472</td>\n",
       "      <td>42.3</td>\n",
       "      <td>5.257235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>18.0</td>\n",
       "      <td>6.896</td>\n",
       "      <td>7.272</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.498744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>18.1</td>\n",
       "      <td>6.921</td>\n",
       "      <td>7.281</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.588201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1165</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>18.2</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "      <td>9.677688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>17.9</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "      <td>9.377688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1167</th>\n",
       "      <td>C</td>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>18.3</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "      <td>9.777688</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1168 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     obs_method_key   obs_date  magnitude  delta      r  phase  \\\n",
       "0                 V 2024-09-19        4.2  1.267  0.458   46.0   \n",
       "1                 V 2024-09-19        4.5  1.267  0.458   46.0   \n",
       "2                 k 2024-09-19        4.1  1.267  0.458   46.0   \n",
       "3                 k 2024-09-19        3.7  1.267  0.458   46.0   \n",
       "4                 M 2024-09-18        4.2  1.302  0.472   42.3   \n",
       "...             ...        ...        ...    ...    ...    ...   \n",
       "1163              C 2023-02-27       18.0  6.896  7.272    7.4   \n",
       "1164              C 2023-02-26       18.1  6.921  7.281    7.4   \n",
       "1165              C 2023-02-25       18.2  6.946  7.290    7.5   \n",
       "1166              C 2023-02-25       17.9  6.946  7.290    7.5   \n",
       "1167              C 2023-02-25       18.3  6.946  7.290    7.5   \n",
       "\n",
       "      magnitud_reducida  \n",
       "0              5.381790  \n",
       "1              5.681790  \n",
       "2              5.281790  \n",
       "3              4.881790  \n",
       "4              5.257235  \n",
       "...                 ...  \n",
       "1163           9.498744  \n",
       "1164           9.588201  \n",
       "1165           9.677688  \n",
       "1166           9.377688  \n",
       "1167           9.777688  \n",
       "\n",
       "[1168 rows x 7 columns]"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reducción de la magnitud aparente\n",
    "beta = 0\n",
    "\n",
    "curva_de_luz_procesada_df['magnitud_reducida'] = (\n",
    "    curva_de_luz_cruda_df['magnitude'] \n",
    "    - 5 * np.log10(curva_de_luz_procesada_df['delta'] * curva_de_luz_procesada_df['r'])\n",
    "    - (beta * curva_de_luz_procesada_df['phase'])\n",
    "    )\n",
    "curva_de_luz_procesada_df"
   ]
  },
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        "title": {
         "text": "Reduced Lightcurve of comet C/2023 A3 (Tsuchinshan-ATLAS)"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
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         "title": {
          "text": "Observation Date"
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         "anchor": "x",
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   ],
   "source": [
    "# Curva de luz reducida\n",
    "labels = {'obs_date':'Observation Date','magnitud_reducida':'Apparent total magnitude processed', 'obs_method_key' : 'Observation Method'}\n",
    "fig = px.scatter(curva_de_luz_procesada_df, x='obs_date', y='magnitud_reducida', color='obs_method_key', template= 'plotly_dark', labels= labels, title=f'Reduced Lightcurve of comet {nombre_cometa} (Tsuchinshan-ATLAS)')\n",
    "fig.update_yaxes(autorange=\"reversed\")\n",
    "fig.show()"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Curva de luz interna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
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       "      <th>obs_date</th>\n",
       "      <th>obs_method_key</th>\n",
       "      <th>magnitude</th>\n",
       "      <th>delta</th>\n",
       "      <th>r</th>\n",
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       "0   2023-02-25              C       18.3  6.946  7.290    7.5   \n",
       "1   2023-02-26              C       18.1  6.921  7.281    7.4   \n",
       "2   2023-02-27              C       18.0  6.896  7.272    7.4   \n",
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       "4   2023-03-01              Z       17.9  6.847  7.255    7.3   \n",
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       "303 2024-09-15              S        4.6  1.402  0.519   32.7   \n",
       "304 2024-09-16              k        5.1  1.370  0.503   35.6   \n",
       "305 2024-09-17              S        4.5  1.337  0.487   38.8   \n",
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       "307 2024-09-19              k        4.5  1.267  0.458   46.0   \n",
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       "..                 ...  \n",
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     "execution_count": 126,
     "metadata": {},
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   "source": [
    "# Creación del data frame curva de luz agrupada\n",
    "curva_de_luz_interna_df = curva_de_luz_procesada_df.groupby(by = 'obs_date').max()\n",
    "curva_de_luz_interna_df = curva_de_luz_interna_df.reset_index()\n",
    "curva_de_luz_interna_df"
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        },
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     },
     "metadata": {},
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   ],
   "source": [
    "# Curva de luz reducida\n",
    "labels = {'obs_date':'Observation Date','magnitud_reducida':'Max apparent total magnitude reduced', 'obs_method_key' : 'Observation Method'}\n",
    "fig = px.scatter(curva_de_luz_interna_df, x=curva_de_luz_interna_df.obs_date, y='magnitud_reducida', color='obs_method_key', template= 'plotly_dark', labels= labels, title= f'Min Lightcurve of comet {nombre_cometa} (Tsuchinshan-ATLAS)')\n",
    "fig.update_yaxes(autorange=\"reversed\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
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       "      <th>obs_date</th>\n",
       "      <th>obs_method_key</th>\n",
       "      <th>magnitude</th>\n",
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       "      <th>r</th>\n",
       "      <th>phase</th>\n",
       "      <th>magnitud_reducida</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>C</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>C</td>\n",
       "      <td>18.1</td>\n",
       "      <td>6.921</td>\n",
       "      <td>7.281</td>\n",
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       "      <th>2</th>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>C</td>\n",
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       "      <td>6.896</td>\n",
       "      <td>7.272</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.498744</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>3</th>\n",
       "      <td>2023-02-28</td>\n",
       "      <td>C</td>\n",
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       "      <td>6.871</td>\n",
       "      <td>7.264</td>\n",
       "      <td>7.4</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>2023-03-01</td>\n",
       "      <td>Z</td>\n",
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       "      <td>6.847</td>\n",
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       "      <td>7.3</td>\n",
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       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>2024-09-15</td>\n",
       "      <td>S</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.519</td>\n",
       "      <td>32.7</td>\n",
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       "      <td>6.448026</td>\n",
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       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>2024-09-16</td>\n",
       "      <td>k</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.370</td>\n",
       "      <td>0.503</td>\n",
       "      <td>35.6</td>\n",
       "      <td>5.908557</td>\n",
       "      <td>6.335997</td>\n",
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       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>2024-09-17</td>\n",
       "      <td>S</td>\n",
       "      <td>4.5</td>\n",
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       "      <td>0.487</td>\n",
       "      <td>38.8</td>\n",
       "      <td>5.431698</td>\n",
       "      <td>6.145250</td>\n",
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       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2024-09-18</td>\n",
       "      <td>S</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.302</td>\n",
       "      <td>0.472</td>\n",
       "      <td>42.3</td>\n",
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       "      <td>5.881166</td>\n",
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       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>k</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "      <td>5.681790</td>\n",
       "      <td>5.686388</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>308 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      obs_date obs_method_key  magnitude  delta      r  phase  \\\n",
       "0   2023-02-25              C       18.3  6.946  7.290    7.5   \n",
       "1   2023-02-26              C       18.1  6.921  7.281    7.4   \n",
       "2   2023-02-27              C       18.0  6.896  7.272    7.4   \n",
       "3   2023-02-28              C       18.2  6.871  7.264    7.4   \n",
       "4   2023-03-01              Z       17.9  6.847  7.255    7.3   \n",
       "..         ...            ...        ...    ...    ...    ...   \n",
       "303 2024-09-15              S        4.6  1.402  0.519   32.7   \n",
       "304 2024-09-16              k        5.1  1.370  0.503   35.6   \n",
       "305 2024-09-17              S        4.5  1.337  0.487   38.8   \n",
       "306 2024-09-18              S        4.2  1.302  0.472   42.3   \n",
       "307 2024-09-19              k        4.5  1.267  0.458   46.0   \n",
       "\n",
       "     magnitud_reducida  promedio_movil  \n",
       "0             9.777688             NaN  \n",
       "1             9.588201             NaN  \n",
       "2             9.498744             NaN  \n",
       "3             9.709021             NaN  \n",
       "4             9.419311             NaN  \n",
       "..                 ...             ...  \n",
       "303           5.290423        6.448026  \n",
       "304           5.908557        6.335997  \n",
       "305           5.431698        6.145250  \n",
       "306           5.257235        5.881166  \n",
       "307           5.681790        5.686388  \n",
       "\n",
       "[308 rows x 8 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creación del data frame curva de luz promediada\n",
    "numero_elementos_grupo = 7\n",
    "\n",
    "curva_de_luz_interna_df = curva_de_luz_interna_df.copy()\n",
    "curva_de_luz_interna_df['promedio_movil'] = curva_de_luz_interna_df.magnitud_reducida.rolling(window = numero_elementos_grupo).mean()\n",
    "curva_de_luz_interna_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
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           "linecolor": "#506784",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "#283442",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Max Averaged Lightcurve of comet C/2023 A3 (Tsuchinshan-ATLAS)"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Observation Date"
         }
        },
        "yaxis": {
         "anchor": "x",
         "autorange": "reversed",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "promedio_movil"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfica de lus promediada\n",
    "labels = {'obs_date':'Observation Date','magnitud_reducida':'Magnitude reduced'}\n",
    "fig = px.scatter(curva_de_luz_interna_df, x=curva_de_luz_interna_df.obs_date, y='promedio_movil', template= 'plotly_dark', labels= labels, title=f'Max Averaged Lightcurve of comet {nombre_cometa} (Tsuchinshan-ATLAS)')\n",
    "fig.update_traces(marker=dict(color='yellow', size=6, line=dict(width=1, color='DarkSlateGrey')))\n",
    "fig.update_yaxes(autorange=\"reversed\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Curva de luz Externa (Envolvente)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>obs_date</th>\n",
       "      <th>obs_method_key</th>\n",
       "      <th>magnitude</th>\n",
       "      <th>delta</th>\n",
       "      <th>r</th>\n",
       "      <th>phase</th>\n",
       "      <th>magnitud_reducida</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-02-25</td>\n",
       "      <td>C</td>\n",
       "      <td>17.9</td>\n",
       "      <td>6.946</td>\n",
       "      <td>7.290</td>\n",
       "      <td>7.5</td>\n",
       "      <td>9.377688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>C</td>\n",
       "      <td>18.1</td>\n",
       "      <td>6.921</td>\n",
       "      <td>7.281</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.588201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-02-27</td>\n",
       "      <td>C</td>\n",
       "      <td>17.9</td>\n",
       "      <td>6.896</td>\n",
       "      <td>7.272</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.398744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-02-28</td>\n",
       "      <td>C</td>\n",
       "      <td>17.7</td>\n",
       "      <td>6.871</td>\n",
       "      <td>7.264</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.209021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>Z</td>\n",
       "      <td>17.9</td>\n",
       "      <td>6.847</td>\n",
       "      <td>7.255</td>\n",
       "      <td>7.3</td>\n",
       "      <td>9.419311</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",
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       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>2024-09-15</td>\n",
       "      <td>S</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.402</td>\n",
       "      <td>0.519</td>\n",
       "      <td>32.7</td>\n",
       "      <td>5.290423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>2024-09-16</td>\n",
       "      <td>V</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.370</td>\n",
       "      <td>0.503</td>\n",
       "      <td>35.6</td>\n",
       "      <td>5.508557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>2024-09-17</td>\n",
       "      <td>M</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.337</td>\n",
       "      <td>0.487</td>\n",
       "      <td>38.8</td>\n",
       "      <td>5.231698</td>\n",
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       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2024-09-18</td>\n",
       "      <td>M</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.302</td>\n",
       "      <td>0.472</td>\n",
       "      <td>42.3</td>\n",
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       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>V</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
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       "      obs_date obs_method_key  magnitude  delta      r  phase  \\\n",
       "0   2023-02-25              C       17.9  6.946  7.290    7.5   \n",
       "1   2023-02-26              C       18.1  6.921  7.281    7.4   \n",
       "2   2023-02-27              C       17.9  6.896  7.272    7.4   \n",
       "3   2023-02-28              C       17.7  6.871  7.264    7.4   \n",
       "4   2023-03-01              Z       17.9  6.847  7.255    7.3   \n",
       "..         ...            ...        ...    ...    ...    ...   \n",
       "303 2024-09-15              S        4.6  1.402  0.519   32.7   \n",
       "304 2024-09-16              V        4.7  1.370  0.503   35.6   \n",
       "305 2024-09-17              M        4.3  1.337  0.487   38.8   \n",
       "306 2024-09-18              M        4.1  1.302  0.472   42.3   \n",
       "307 2024-09-19              V        3.7  1.267  0.458   46.0   \n",
       "\n",
       "     magnitud_reducida  \n",
       "0             9.377688  \n",
       "1             9.588201  \n",
       "2             9.398744  \n",
       "3             9.209021  \n",
       "4             9.419311  \n",
       "..                 ...  \n",
       "303           5.290423  \n",
       "304           5.508557  \n",
       "305           5.231698  \n",
       "306           5.157235  \n",
       "307           4.881790  \n",
       "\n",
       "[308 rows x 7 columns]"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creación del data frame curva de luz agrupada\n",
    "curva_de_luz_externa_df = curva_de_luz_procesada_df.groupby(by = 'obs_date').min()\n",
    "curva_de_luz_externa_df = curva_de_luz_externa_df.reset_index()\n",
    "curva_de_luz_externa_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>obs_method_key</th>\n",
       "      <th>magnitude</th>\n",
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       "      <th>r</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-02-25</td>\n",
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       "      <td>7.290</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-02-26</td>\n",
       "      <td>C</td>\n",
       "      <td>18.1</td>\n",
       "      <td>6.921</td>\n",
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       "      <td>2023-02-27</td>\n",
       "      <td>C</td>\n",
       "      <td>17.9</td>\n",
       "      <td>6.896</td>\n",
       "      <td>7.272</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.398744</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-02-28</td>\n",
       "      <td>C</td>\n",
       "      <td>17.7</td>\n",
       "      <td>6.871</td>\n",
       "      <td>7.264</td>\n",
       "      <td>7.4</td>\n",
       "      <td>9.209021</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>Z</td>\n",
       "      <td>17.9</td>\n",
       "      <td>6.847</td>\n",
       "      <td>7.255</td>\n",
       "      <td>7.3</td>\n",
       "      <td>9.419311</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>303</th>\n",
       "      <td>2024-09-15</td>\n",
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       "      <td>4.6</td>\n",
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       "      <td>0.519</td>\n",
       "      <td>32.7</td>\n",
       "      <td>5.290423</td>\n",
       "      <td>6.290883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>2024-09-16</td>\n",
       "      <td>V</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.370</td>\n",
       "      <td>0.503</td>\n",
       "      <td>35.6</td>\n",
       "      <td>5.508557</td>\n",
       "      <td>6.121711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>2024-09-17</td>\n",
       "      <td>M</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.337</td>\n",
       "      <td>0.487</td>\n",
       "      <td>38.8</td>\n",
       "      <td>5.231698</td>\n",
       "      <td>5.902393</td>\n",
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       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>2024-09-18</td>\n",
       "      <td>M</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.302</td>\n",
       "      <td>0.472</td>\n",
       "      <td>42.3</td>\n",
       "      <td>5.157235</td>\n",
       "      <td>5.709737</td>\n",
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       "      <th>307</th>\n",
       "      <td>2024-09-19</td>\n",
       "      <td>V</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.267</td>\n",
       "      <td>0.458</td>\n",
       "      <td>46.0</td>\n",
       "      <td>4.881790</td>\n",
       "      <td>5.472102</td>\n",
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       "<p>308 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      obs_date obs_method_key  magnitude  delta      r  phase  \\\n",
       "0   2023-02-25              C       17.9  6.946  7.290    7.5   \n",
       "1   2023-02-26              C       18.1  6.921  7.281    7.4   \n",
       "2   2023-02-27              C       17.9  6.896  7.272    7.4   \n",
       "3   2023-02-28              C       17.7  6.871  7.264    7.4   \n",
       "4   2023-03-01              Z       17.9  6.847  7.255    7.3   \n",
       "..         ...            ...        ...    ...    ...    ...   \n",
       "303 2024-09-15              S        4.6  1.402  0.519   32.7   \n",
       "304 2024-09-16              V        4.7  1.370  0.503   35.6   \n",
       "305 2024-09-17              M        4.3  1.337  0.487   38.8   \n",
       "306 2024-09-18              M        4.1  1.302  0.472   42.3   \n",
       "307 2024-09-19              V        3.7  1.267  0.458   46.0   \n",
       "\n",
       "     magnitud_reducida  promedio_movil  \n",
       "0             9.377688             NaN  \n",
       "1             9.588201             NaN  \n",
       "2             9.398744             NaN  \n",
       "3             9.209021             NaN  \n",
       "4             9.419311             NaN  \n",
       "..                 ...             ...  \n",
       "303           5.290423        6.290883  \n",
       "304           5.508557        6.121711  \n",
       "305           5.231698        5.902393  \n",
       "306           5.157235        5.709737  \n",
       "307           4.881790        5.472102  \n",
       "\n",
       "[308 rows x 8 columns]"
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     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creación del data frame curva de luz promediada\n",
    "numero_elementos_grupo = 7\n",
    "\n",
    "curva_de_luz_externa_df = curva_de_luz_externa_df.copy()\n",
    "curva_de_luz_externa_df['promedio_movil'] = curva_de_luz_externa_df.magnitud_reducida.rolling(window = numero_elementos_grupo).mean()\n",
    "curva_de_luz_externa_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
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    "# Curva de luz reducida\n",
    "labels = {'obs_date':'Observation Date','magnitud_reducida':'Max apparent total magnitude reduced', 'obs_method_key' : 'Observation Method'}\n",
    "fig = px.scatter(curva_de_luz_externa_df, x=curva_de_luz_externa_df.obs_date, y='magnitud_reducida', color='obs_method_key', template= 'plotly_dark', labels= labels, title=f'Max Lightcurve of comet {nombre_cometa} (Tsuchinshan-ATLAS)')\n",
    "fig.update_yaxes(autorange=\"reversed\")\n",
    "fig.show()"
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  {
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   "metadata": {},
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        "title": {
         "text": "Max Averaged Lightcurve of comet C/2023 A3 (Tsuchinshan-ATLAS)"
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
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   ],
   "source": [
    "# Gráfica de lus promediada\n",
    "labels = {'obs_date':'Observation Date','magnitud_reducida':'Magnitude reduced'}\n",
    "fig = px.scatter(curva_de_luz_externa_df, x=curva_de_luz_externa_df.obs_date, y='promedio_movil', template= 'plotly_dark', labels= labels, title=f'Max Averaged Lightcurve of comet {nombre_cometa} (Tsuchinshan-ATLAS)')\n",
    "fig.update_traces(marker=dict(color='yellow', size=6, line=dict(width=1, color='DarkSlateGrey')))\n",
    "fig.update_yaxes(autorange=\"reversed\")\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparación de las curvas de luz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
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            "gridcolor": "#506784",
            "linecolor": "#506784",
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          },
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           "bgcolor": "#506784",
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          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "#283442",
           "linecolor": "#506784",
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           "automargin": true,
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   ],
   "source": [
    "# Gráfica de lus promediada\n",
    "labels = {'obs_date':'Observation Date','magnitud_reducida':'Magnitude reduced'}\n",
    "fig = go.Figure()\n",
    "fig.add_trace(go.Scatter(x=curva_de_luz_externa_df.obs_date, y=curva_de_luz_externa_df.promedio_movil, mode='markers', name='Envolvente', marker=dict(color='red', line=dict(width=1, color='DarkSlateGrey'))))\n",
    "fig.add_trace(go.Scatter(x=curva_de_luz_interna_df.obs_date, y=curva_de_luz_interna_df.promedio_movil, mode='markers', name='Núcleo', marker=dict(color='yellow', line=dict(width=1, color='DarkSlateGrey'))))\n",
    "fig.update_layout(template='plotly_dark')\n",
    "fig.update_yaxes(autorange=\"reversed\")\n",
    "fig.update_layout(template='plotly_dark', xaxis_title='Observation Date', yaxis_title='Promedio Movil')\n",
    "fig.show()"
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