explore.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f16e6102-0ea9-4227-b08c-658f8b93d86e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from pathlib import Path\n",
    "from datetime import datetime\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3cad7c83-c234-4e00-a45c-c5611dccf95c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# usar aca el path a la carpeta con datos descomprimidos\n",
    "data_dir = Path(\"D:/transit-data/data-SNBE\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dbaf7fce-606b-4b1f-807a-5e4d19f0440d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# esta celda tarda MUCHO TIEMPO, una mejor opción es usar la instancia de BigQuery \n",
    "combined_dataset = data_dir / \"combined.pkl\"\n",
    "if not combined_dataset.exists():\n",
    "    weekdays = [\"Do\",\"Lu\", \"Ma\", \"Mi\", \"Ju\", \"Vi\", \"Sa\"]\n",
    "    D = pd.concat([pd.read_csv(i, sep=\";\") for i in data_dir.glob(\"*.csv\")])\n",
    "    D[\"fechahoraevento\"] = pd.to_datetime(D[\"fechahoraevento\"])\n",
    "    D[\"ymd\"] = D[\"fechahoraevento\"].apply(lambda x: f\"{x.date()} ({weekdays[x.weekday()]})\")\n",
    "    D[\"year\"] = D[\"fechahoraevento\"].apply(lambda x: x.year)\n",
    "    D[\"month\"] = D[\"fechahoraevento\"].apply(lambda x: x.month)\n",
    "    D[\"day\"] = D[\"fechahoraevento\"].apply(lambda x: x.day)\n",
    "    D[\"hour\"] = D[\"fechahoraevento\"].apply(lambda x: x.hour)\n",
    "    D.to_pickle(combined_dataset)\n",
    "else:\n",
    "    D = pd.read_pickle(combined_dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "44811f92-eadf-4d61-9346-5e659f695a70",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['serialtarjeta', 'idsam', 'fechahoraevento', 'producto', 'montoevento',\n",
       "       'consecutivoevento', 'identidad', 'tipoevento', 'latitude', 'longitude',\n",
       "       'idrutaestacion', 'tipotransporte', 'ymd', 'year', 'month', 'day',\n",
       "       'hour'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "3c81a13c-57bf-49fc-b7a1-2514140e5f31",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "cond = (D[\"producto\"] == \"MO\") & (D[\"tipoevento\"] == 4) & (D[\"montoevento\"] > 1000)\n",
    "tarj_usos_por_dia = D[cond].groupby([\"serialtarjeta\", \"year\", \"month\", \"day\"]).agg(\n",
    "    monto_total = pd.NamedAgg(column=\"montoevento\", aggfunc=\"sum\"),\n",
    "    count_eventos = pd.NamedAgg(column=\"identidad\", aggfunc=\"count\"),\n",
    ").reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "c7d8e271-5436-4fa8-a8f6-960e39aa7eea",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='monto_total', ylabel='count_eventos'>"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data=tarj_usos_por_dia, x=\"monto_total\", y=\"count_eventos\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "eb95e25b-48f9-451b-ad61-a008d2d3996b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizar casos en que la misma tarjeta se usó más dd 10 veces en la misma hora\n",
    "fig, axs = plt.subplots(nrows=2, figsize=(10,10))\n",
    "fig.suptitle(\"Histograma de tarjetas con más de 10 usos en el mismo día\\nProducto == 'MO', Tipo de evento == 4, montoevento > 1000\", fontsize=14)\n",
    "\n",
    "cond = tarj_usos_por_dia[\"count_eventos\"] > 10\n",
    "\n",
    "ax = axs[0]\n",
    "bins = 200\n",
    "sns.histplot(tarj_usos_por_dia[cond][\"count_eventos\"], bins=bins, ax=ax)\n",
    "\n",
    "ax.set_xlabel(\"Cantidad de usos de la tarjeta en el mismo día\")\n",
    "ax.set_ylabel(\"Número de tarjetas\")\n",
    "\n",
    "ax = axs[1]\n",
    "sns.histplot(tarj_usos_por_dia[cond][\"count_eventos\"], bins=bins, ax=ax)\n",
    "\n",
    "ax.set_yscale(\"log\")\n",
    "\n",
    "ax.set_xlabel(\"Cantidad de usos de la tarjeta en el mismo día\")\n",
    "ax.set_ylabel(\"Número de tarjetas (log)\")\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()\n",
    "plt.close(\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "925a204a-c44c-4a3f-b72a-4f6070d049c9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "cond = (D[\"producto\"] == \"MO\") & (D[\"tipoevento\"] == 4) & (D[\"montoevento\"] > 1000)\n",
    "tarj_usos_por_hora = D[cond].groupby([\"serialtarjeta\", \"year\", \"month\", \"day\", \"hour\"]).agg(\n",
    "    monto_total = pd.NamedAgg(column=\"montoevento\", aggfunc=\"sum\"),\n",
    "    count_eventos = pd.NamedAgg(column=\"identidad\", aggfunc=\"count\"),\n",
    ").reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "9c7c8e20-0f3e-426e-b9d0-bddf4e70d66e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualizar casos en que la misma tarjeta se usó más dd 10 veces en la misma hora\n",
    "fig, axs = plt.subplots(nrows=2, figsize=(10,10))\n",
    "fig.suptitle(\"Histograma de tarjetas con más de 10 usos en la misma hora\\nProducto == 'MO', Tipo de evento == 4, montoevento > 1000\", fontsize=14)\n",
    "\n",
    "cond = tarj_usos_por_hora[\"count_eventos\"] > 10\n",
    "\n",
    "ax = axs[0]\n",
    "sns.histplot(tarj_usos_por_hora[cond][\"count_eventos\"], ax=ax)\n",
    "\n",
    "ax.set_xlabel(\"Cantidad de usos de la tarjeta en la misma hora\")\n",
    "ax.set_ylabel(\"Número de tarjetas\")\n",
    "\n",
    "ax = axs[1]\n",
    "sns.histplot(tarj_usos_por_hora[cond][\"count_eventos\"], ax=ax)\n",
    "\n",
    "ax.set_yscale(\"log\")\n",
    "\n",
    "ax.set_xlabel(\"Cantidad de usos de la tarjeta en la misma hora\")\n",
    "ax.set_ylabel(\"Número de tarjetas (log)\")\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()\n",
    "plt.close(\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "6ffe1251-6c42-4119-9007-ec584a26d5a7",
   "metadata": {
    "tags": []
   },
   "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>serialtarjeta</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>monto_total</th>\n",
       "      <th>count_eventos</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>90885169</th>\n",
       "      <td>82c4a8979bc659819355a1177e330183</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>13</td>\n",
       "      <td>453200</td>\n",
       "      <td>198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155433443</th>\n",
       "      <td>dfb108d31efcc775e60f7ed89eb64af6</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>446200</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36248627</th>\n",
       "      <td>342141b9073c68939b875bebf0b9ccbf</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>441300</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152055594</th>\n",
       "      <td>dad3ffa7aed8382afc4cdfd6fc0d9a99</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>16</td>\n",
       "      <td>365000</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68927751</th>\n",
       "      <td>630f3433cac0fb97cfd58cafca6be70c</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>22</td>\n",
       "      <td>363200</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171786120</th>\n",
       "      <td>f72be74d464a5ac27dba2a94cd313e4a</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>20</td>\n",
       "      <td>341200</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12520230</th>\n",
       "      <td>11fb5427b929900581d777131ae23c12</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "      <td>13</td>\n",
       "      <td>337900</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20058733</th>\n",
       "      <td>1cd3df0a72c092dc9769d12cab33f4d0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>18</td>\n",
       "      <td>335800</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65426818</th>\n",
       "      <td>5e004ac1f93e708ed1a9669b3f88e051</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>335800</td>\n",
       "      <td>146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8279302</th>\n",
       "      <td>0beeba7e247ad279495ad3cf88368d46</td>\n",
       "      <td>2022</td>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>328900</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30215949</th>\n",
       "      <td>2b786d43d7b79fcb48114112ac3d70ba</td>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>325400</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165183745</th>\n",
       "      <td>edb97a25812f104e55fdeebff727d90b</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>321700</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93207351</th>\n",
       "      <td>860fa52bbca7bb1354a30c5a7b9d7ff3</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>320000</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96432863</th>\n",
       "      <td>8ab269f0f02bf7782c08793a755aa4a5</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>14</td>\n",
       "      <td>317400</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127457593</th>\n",
       "      <td>b74766bcc13c1eb8e75618fa5a345587</td>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "      <td>19</td>\n",
       "      <td>317400</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93207341</th>\n",
       "      <td>860fa52bbca7bb1354a30c5a7b9d7ff3</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>20</td>\n",
       "      <td>315100</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81865708</th>\n",
       "      <td>75bf2d0342f38b0de66b191d5dc9866d</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>15</td>\n",
       "      <td>312800</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92337617</th>\n",
       "      <td>84d085cd136818494d81b1730dd2253c</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>16</td>\n",
       "      <td>12</td>\n",
       "      <td>299800</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65426825</th>\n",
       "      <td>5e004ac1f93e708ed1a9669b3f88e051</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>16</td>\n",
       "      <td>296700</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21768654</th>\n",
       "      <td>1f563dc67ca46add742aa5921d09ed21</td>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>9</td>\n",
       "      <td>295700</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165183746</th>\n",
       "      <td>edb97a25812f104e55fdeebff727d90b</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>15</td>\n",
       "      <td>295600</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27263539</th>\n",
       "      <td>272e5884b34b0c6cd7a192303a4ae28a</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>295300</td>\n",
       "      <td>129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39079038</th>\n",
       "      <td>382b271414146df833d65d56ae553111</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>20</td>\n",
       "      <td>293400</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11008539</th>\n",
       "      <td>0fd6d07156a9264216b18b294c3d8e5f</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>14</td>\n",
       "      <td>291900</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20058734</th>\n",
       "      <td>1cd3df0a72c092dc9769d12cab33f4d0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>22</td>\n",
       "      <td>21</td>\n",
       "      <td>287500</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146613431</th>\n",
       "      <td>d2f88fdaad0329ddd79b363c0bc0cf27</td>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>278300</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165605401</th>\n",
       "      <td>ee55a30543ef2db5455ffa5cab919a9a</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>275900</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116896294</th>\n",
       "      <td>a8241cdb085eb3dc53de1e5d3e533b2d</td>\n",
       "      <td>2022</td>\n",
       "      <td>4</td>\n",
       "      <td>25</td>\n",
       "      <td>17</td>\n",
       "      <td>274810</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20058747</th>\n",
       "      <td>1cd3df0a72c092dc9769d12cab33f4d0</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>17</td>\n",
       "      <td>269100</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124429582</th>\n",
       "      <td>b2e7916595a6b732e57af7c2c4151d44</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>19</td>\n",
       "      <td>269100</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124429583</th>\n",
       "      <td>b2e7916595a6b732e57af7c2c4151d44</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>265900</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124429584</th>\n",
       "      <td>b2e7916595a6b732e57af7c2c4151d44</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>17</td>\n",
       "      <td>265700</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128640584</th>\n",
       "      <td>b906fc8fd517ab75a53afe50c798ad2a</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>259900</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93207336</th>\n",
       "      <td>860fa52bbca7bb1354a30c5a7b9d7ff3</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>17</td>\n",
       "      <td>257600</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24891144</th>\n",
       "      <td>23c51a9ec443f9a1f30db110975341d0</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>255300</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83086163</th>\n",
       "      <td>777ba439aacc6d3c4442553713ce3f34</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>255300</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142739270</th>\n",
       "      <td>cd6136886ff3e4e1287e4ee32f74ad89</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>18</td>\n",
       "      <td>254300</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124429596</th>\n",
       "      <td>b2e7916595a6b732e57af7c2c4151d44</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>254000</td>\n",
       "      <td>111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37126611</th>\n",
       "      <td>355c9df6286bcb879d80a4f6d9d12303</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>250700</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131621093</th>\n",
       "      <td>bd438c6917c5270f5c165c8dfa6f8550</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>21</td>\n",
       "      <td>250600</td>\n",
       "      <td>109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165183711</th>\n",
       "      <td>edb97a25812f104e55fdeebff727d90b</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>248200</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154710963</th>\n",
       "      <td>dea42be44d23445632c9292f2f7fe5a6</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>247900</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98877024</th>\n",
       "      <td>8e3894984c69157e52fb61b47bf0fa87</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>247700</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10438394</th>\n",
       "      <td>0f09ee07b3d8225f9644af6eff1c503a</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>19</td>\n",
       "      <td>247300</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76469301</th>\n",
       "      <td>6e12e74267d50f5e2345164b43348cb5</td>\n",
       "      <td>2022</td>\n",
       "      <td>11</td>\n",
       "      <td>24</td>\n",
       "      <td>20</td>\n",
       "      <td>247300</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157521974</th>\n",
       "      <td>e2aee67abcb7d22f7666daf0cf316f4e</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>14</td>\n",
       "      <td>247300</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24891156</th>\n",
       "      <td>23c51a9ec443f9a1f30db110975341d0</td>\n",
       "      <td>2023</td>\n",
       "      <td>3</td>\n",
       "      <td>23</td>\n",
       "      <td>19</td>\n",
       "      <td>247100</td>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68927740</th>\n",
       "      <td>630f3433cac0fb97cfd58cafca6be70c</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>246100</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39079034</th>\n",
       "      <td>382b271414146df833d65d56ae553111</td>\n",
       "      <td>2023</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>17</td>\n",
       "      <td>245900</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151077768</th>\n",
       "      <td>d960f637975b5e621979890020055e27</td>\n",
       "      <td>2023</td>\n",
       "      <td>2</td>\n",
       "      <td>16</td>\n",
       "      <td>19</td>\n",
       "      <td>245600</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              serialtarjeta  year  month  day  hour  \\\n",
       "90885169   82c4a8979bc659819355a1177e330183  2022     12   29    13   \n",
       "155433443  dfb108d31efcc775e60f7ed89eb64af6  2023      3   23    18   \n",
       "36248627   342141b9073c68939b875bebf0b9ccbf  2023      2   16    19   \n",
       "152055594  dad3ffa7aed8382afc4cdfd6fc0d9a99  2023      1   12    16   \n",
       "68927751   630f3433cac0fb97cfd58cafca6be70c  2023      1   26    22   \n",
       "171786120  f72be74d464a5ac27dba2a94cd313e4a  2023      3   30    20   \n",
       "12520230   11fb5427b929900581d777131ae23c12  2023      3   16    13   \n",
       "20058733   1cd3df0a72c092dc9769d12cab33f4d0  2022     12   22    18   \n",
       "65426818   5e004ac1f93e708ed1a9669b3f88e051  2023      3    2    16   \n",
       "8279302    0beeba7e247ad279495ad3cf88368d46  2022     10   26    11   \n",
       "30215949   2b786d43d7b79fcb48114112ac3d70ba  2022     11    8     8   \n",
       "165183745  edb97a25812f104e55fdeebff727d90b  2023      3    2    21   \n",
       "93207351   860fa52bbca7bb1354a30c5a7b9d7ff3  2023      3    2    21   \n",
       "96432863   8ab269f0f02bf7782c08793a755aa4a5  2022     12   29    14   \n",
       "127457593  b74766bcc13c1eb8e75618fa5a345587  2022     11   24    19   \n",
       "93207341   860fa52bbca7bb1354a30c5a7b9d7ff3  2023      1   12    20   \n",
       "81865708   75bf2d0342f38b0de66b191d5dc9866d  2023      1   26    15   \n",
       "92337617   84d085cd136818494d81b1730dd2253c  2023      3   16    12   \n",
       "65426825   5e004ac1f93e708ed1a9669b3f88e051  2023      3   23    16   \n",
       "21768654   1f563dc67ca46add742aa5921d09ed21  2022     11   22     9   \n",
       "165183746  edb97a25812f104e55fdeebff727d90b  2023      3   23    15   \n",
       "27263539   272e5884b34b0c6cd7a192303a4ae28a  2023      1   12    18   \n",
       "39079038   382b271414146df833d65d56ae553111  2023      1   26    20   \n",
       "11008539   0fd6d07156a9264216b18b294c3d8e5f  2023      2   16    14   \n",
       "20058734   1cd3df0a72c092dc9769d12cab33f4d0  2022     12   22    21   \n",
       "146613431  d2f88fdaad0329ddd79b363c0bc0cf27  2022     11   17    18   \n",
       "165605401  ee55a30543ef2db5455ffa5cab919a9a  2022     12   15    22   \n",
       "116896294  a8241cdb085eb3dc53de1e5d3e533b2d  2022      4   25    17   \n",
       "20058747   1cd3df0a72c092dc9769d12cab33f4d0  2023      2    9    17   \n",
       "124429582  b2e7916595a6b732e57af7c2c4151d44  2022     12   29    19   \n",
       "124429583  b2e7916595a6b732e57af7c2c4151d44  2023      1   12    18   \n",
       "124429584  b2e7916595a6b732e57af7c2c4151d44  2023      1   19    17   \n",
       "128640584  b906fc8fd517ab75a53afe50c798ad2a  2023      2    2    14   \n",
       "93207336   860fa52bbca7bb1354a30c5a7b9d7ff3  2022     12   15    17   \n",
       "24891144   23c51a9ec443f9a1f30db110975341d0  2023      1    5    19   \n",
       "83086163   777ba439aacc6d3c4442553713ce3f34  2023      2    2    15   \n",
       "142739270  cd6136886ff3e4e1287e4ee32f74ad89  2023      1   19    18   \n",
       "124429596  b2e7916595a6b732e57af7c2c4151d44  2023      3    2    19   \n",
       "37126611   355c9df6286bcb879d80a4f6d9d12303  2023      3    2    15   \n",
       "131621093  bd438c6917c5270f5c165c8dfa6f8550  2023      2   23    21   \n",
       "165183711  edb97a25812f104e55fdeebff727d90b  2022     12    7    17   \n",
       "154710963  dea42be44d23445632c9292f2f7fe5a6  2023      1    5    20   \n",
       "98877024   8e3894984c69157e52fb61b47bf0fa87  2023      2   16    19   \n",
       "10438394   0f09ee07b3d8225f9644af6eff1c503a  2022     12   29    19   \n",
       "76469301   6e12e74267d50f5e2345164b43348cb5  2022     11   24    20   \n",
       "157521974  e2aee67abcb7d22f7666daf0cf316f4e  2023      2    2    14   \n",
       "24891156   23c51a9ec443f9a1f30db110975341d0  2023      3   23    19   \n",
       "68927740   630f3433cac0fb97cfd58cafca6be70c  2022     12    1    19   \n",
       "39079034   382b271414146df833d65d56ae553111  2023      1   19    17   \n",
       "151077768  d960f637975b5e621979890020055e27  2023      2   16    19   \n",
       "\n",
       "           monto_total  count_eventos  \n",
       "90885169        453200            198  \n",
       "155433443       446200            194  \n",
       "36248627        441300            192  \n",
       "152055594       365000            159  \n",
       "68927751        363200            158  \n",
       "171786120       341200            149  \n",
       "12520230        337900            147  \n",
       "20058733        335800            146  \n",
       "65426818        335800            146  \n",
       "8279302         328900            143  \n",
       "30215949        325400            142  \n",
       "165183745       321700            140  \n",
       "93207351        320000            140  \n",
       "96432863        317400            138  \n",
       "127457593       317400            138  \n",
       "93207341        315100            137  \n",
       "81865708        312800            136  \n",
       "92337617        299800            131  \n",
       "65426825        296700            129  \n",
       "21768654        295700            129  \n",
       "165183746       295600            129  \n",
       "27263539        295300            129  \n",
       "39079038        293400            128  \n",
       "11008539        291900            128  \n",
       "20058734        287500            125  \n",
       "146613431       278300            121  \n",
       "165605401       275900            120  \n",
       "116896294       274810             81  \n",
       "20058747        269100            117  \n",
       "124429582       269100            117  \n",
       "124429583       265900            116  \n",
       "124429584       265700            116  \n",
       "128640584       259900            113  \n",
       "93207336        257600            112  \n",
       "24891144        255300            111  \n",
       "83086163        255300            111  \n",
       "142739270       254300            111  \n",
       "124429596       254000            111  \n",
       "37126611        250700            109  \n",
       "131621093       250600            109  \n",
       "165183711       248200            108  \n",
       "154710963       247900            108  \n",
       "98877024        247700            108  \n",
       "10438394        247300            108  \n",
       "76469301        247300            108  \n",
       "157521974       247300            108  \n",
       "24891156        247100            108  \n",
       "68927740        246100            107  \n",
       "39079034        245900            107  \n",
       "151077768       245600            107  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tarj_usos_por_hora.sort_values(\"monto_total\", ascending=False)[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "e7abb993-a69a-4180-958b-7c8d02fe322f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tarjeta = \"541dfacf4f709b7c070bfcc3b53b30dc\"\n",
    "# year, month, day = 2022, 12, 29\n",
    "# cond = (D[\"serialtarjeta\"] == tarjeta) & (D[\"year\"] == year) & (D[\"month\"] == month) & (D[\"day\"] == day)\n",
    "# max_eventos_en_hora = D[cond]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "3b72c51b-d5e5-4235-b7b3-bd4fb9458975",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([], dtype=object), array([], dtype=object))"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_eventos_en_hora[\"idsam\"].unique(), max_eventos_en_hora[\"idrutaestacion\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "dd39b145-40cc-4c31-a05c-71ad8454f8ad",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "cond = (D[\"serialtarjeta\"] == tarjeta)\n",
    "tarj_max_eventos_hora = D[cond]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "b2ab98a8-f086-48c9-8d0a-bd95df556c0a",
   "metadata": {
    "tags": []
   },
   "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>montoevento</th>\n",
       "      <th>consecutivoevento</th>\n",
       "      <th>identidad</th>\n",
       "      <th>tipoevento</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>tipotransporte</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.0</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.000000</td>\n",
       "      <td>6861.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2926.497595</td>\n",
       "      <td>4341.372249</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.000583</td>\n",
       "      <td>-25.245637</td>\n",
       "      <td>-57.198900</td>\n",
       "      <td>2.142691</td>\n",
       "      <td>2022.259729</td>\n",
       "      <td>6.113686</td>\n",
       "      <td>15.278822</td>\n",
       "      <td>18.42676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>546.750637</td>\n",
       "      <td>2126.296793</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.048291</td>\n",
       "      <td>1.833656</td>\n",
       "      <td>4.154505</td>\n",
       "      <td>0.989839</td>\n",
       "      <td>0.438518</td>\n",
       "      <td>3.894702</td>\n",
       "      <td>8.523553</td>\n",
       "      <td>5.43845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>636.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>-25.379450</td>\n",
       "      <td>-57.501950</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2300.000000</td>\n",
       "      <td>2515.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>-25.378830</td>\n",
       "      <td>-57.500590</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3400.000000</td>\n",
       "      <td>4340.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>-25.378800</td>\n",
       "      <td>-57.500550</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>22.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3400.000000</td>\n",
       "      <td>6189.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>-25.378760</td>\n",
       "      <td>-57.500530</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2023.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>23.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3400.000000</td>\n",
       "      <td>8016.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2023.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>23.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       montoevento  consecutivoevento  identidad   tipoevento     latitude  \\\n",
       "count  6861.000000        6861.000000     6861.0  6861.000000  6861.000000   \n",
       "mean   2926.497595        4341.372249        3.0     4.000583   -25.245637   \n",
       "std     546.750637        2126.296793        0.0     0.048291     1.833656   \n",
       "min       0.000000         636.000000        3.0     4.000000   -25.379450   \n",
       "25%    2300.000000        2515.000000        3.0     4.000000   -25.378830   \n",
       "50%    3400.000000        4340.000000        3.0     4.000000   -25.378800   \n",
       "75%    3400.000000        6189.000000        3.0     4.000000   -25.378760   \n",
       "max    3400.000000        8016.000000        3.0     8.000000     0.000000   \n",
       "\n",
       "         longitude  tipotransporte         year        month          day  \\\n",
       "count  6861.000000     6861.000000  6861.000000  6861.000000  6861.000000   \n",
       "mean    -57.198900        2.142691  2022.259729     6.113686    15.278822   \n",
       "std       4.154505        0.989839     0.438518     3.894702     8.523553   \n",
       "min     -57.501950        1.000000  2022.000000     1.000000     1.000000   \n",
       "25%     -57.500590        1.000000  2022.000000     2.000000     8.000000   \n",
       "50%     -57.500550        3.000000  2022.000000     6.000000    15.000000   \n",
       "75%     -57.500530        3.000000  2023.000000    10.000000    23.000000   \n",
       "max       0.000000        3.000000  2023.000000    12.000000    30.000000   \n",
       "\n",
       "             hour  \n",
       "count  6861.00000  \n",
       "mean     18.42676  \n",
       "std       5.43845  \n",
       "min       0.00000  \n",
       "25%      13.00000  \n",
       "50%      22.00000  \n",
       "75%      23.00000  \n",
       "max      23.00000  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tarj_max_eventos_hora.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "954b7384-e3f5-41d5-bf60-b4cd63dedbcf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       " array(['2022-01-30 (Sa)', '2022-01-29 (Vi)', '2022-01-28 (Ju)',\n",
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       "        '2022-10-15 (Vi)', '2022-10-14 (Ju)', '2022-10-13 (Mi)',\n",
       "        '2022-10-12 (Ma)', '2022-10-11 (Lu)', '2022-10-10 (Do)',\n",
       "        '2022-10-09 (Sa)', '2022-10-08 (Vi)', '2022-10-07 (Ju)',\n",
       "        '2022-10-06 (Mi)', '2022-10-05 (Ma)', '2022-10-04 (Lu)',\n",
       "        '2022-10-03 (Do)', '2022-10-02 (Sa)', '2022-10-01 (Vi)',\n",
       "        '2022-11-29 (Lu)', '2022-11-28 (Do)', '2022-11-27 (Sa)',\n",
       "        '2022-11-26 (Vi)', '2022-11-25 (Ju)', '2022-11-24 (Mi)',\n",
       "        '2022-11-23 (Ma)', '2022-11-22 (Lu)', '2022-11-21 (Do)',\n",
       "        '2022-11-20 (Sa)', '2022-11-19 (Vi)', '2022-11-18 (Ju)',\n",
       "        '2022-11-17 (Mi)', '2022-11-16 (Ma)', '2022-11-15 (Lu)',\n",
       "        '2022-11-14 (Do)', '2022-11-13 (Sa)', '2022-11-12 (Vi)',\n",
       "        '2022-11-11 (Ju)', '2022-11-10 (Mi)', '2022-11-09 (Ma)',\n",
       "        '2022-11-08 (Lu)', '2022-11-07 (Do)', '2022-11-06 (Sa)',\n",
       "        '2022-11-05 (Vi)', '2022-11-04 (Ju)', '2022-11-03 (Mi)',\n",
       "        '2022-11-02 (Ma)', '2022-11-01 (Lu)', '2022-12-30 (Ju)',\n",
       "        '2022-12-29 (Mi)', '2022-12-28 (Ma)', '2022-12-27 (Lu)',\n",
       "        '2022-12-26 (Do)', '2022-12-25 (Sa)', '2022-12-24 (Vi)',\n",
       "        '2022-12-23 (Ju)', '2022-12-22 (Mi)', '2022-12-21 (Ma)',\n",
       "        '2022-12-20 (Lu)', '2022-12-19 (Do)', '2022-12-18 (Sa)',\n",
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       "        '2022-12-14 (Ma)', '2022-12-13 (Lu)', '2022-12-12 (Do)',\n",
       "        '2022-12-11 (Sa)', '2022-12-10 (Vi)', '2022-12-09 (Ju)',\n",
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       "        '2023-01-11 (Ma)', '2023-01-10 (Lu)', '2023-01-09 (Do)',\n",
       "        '2023-01-08 (Sa)', '2023-01-07 (Vi)', '2023-01-06 (Ju)',\n",
       "        '2023-01-05 (Mi)', '2023-01-04 (Ma)', '2023-01-03 (Lu)',\n",
       "        '2023-01-02 (Do)', '2023-01-01 (Sa)', '2023-02-27 (Do)',\n",
       "        '2023-02-26 (Sa)', '2023-02-25 (Vi)', '2023-02-24 (Ju)',\n",
       "        '2023-02-23 (Mi)', '2023-02-22 (Ma)', '2023-02-21 (Lu)',\n",
       "        '2023-02-20 (Do)', '2023-02-19 (Sa)', '2023-02-18 (Vi)',\n",
       "        '2023-02-17 (Ju)', '2023-02-16 (Mi)', '2023-02-15 (Ma)',\n",
       "        '2023-02-14 (Lu)', '2023-02-13 (Do)', '2023-02-12 (Sa)',\n",
       "        '2023-02-11 (Vi)', '2023-02-10 (Ju)', '2023-02-09 (Mi)',\n",
       "        '2023-02-08 (Ma)', '2023-02-07 (Lu)', '2023-02-06 (Do)',\n",
       "        '2023-02-05 (Sa)', '2023-02-04 (Vi)', '2023-02-03 (Ju)',\n",
       "        '2023-02-02 (Mi)', '2023-02-01 (Ma)', '2023-03-30 (Mi)',\n",
       "        '2023-03-29 (Ma)', '2023-03-28 (Lu)', '2023-03-27 (Do)',\n",
       "        '2023-03-26 (Sa)', '2023-03-25 (Vi)', '2023-03-24 (Ju)',\n",
       "        '2023-03-23 (Mi)', '2023-03-22 (Ma)', '2023-03-21 (Lu)',\n",
       "        '2023-03-20 (Do)', '2023-03-19 (Sa)', '2023-03-18 (Vi)',\n",
       "        '2023-03-17 (Ju)', '2023-03-16 (Mi)', '2023-03-15 (Ma)',\n",
       "        '2023-03-14 (Lu)', '2023-03-13 (Do)', '2023-03-12 (Sa)',\n",
       "        '2023-03-11 (Vi)', '2023-03-10 (Ju)', '2023-03-09 (Mi)',\n",
       "        '2023-03-08 (Ma)', '2023-03-07 (Lu)', '2023-03-06 (Do)',\n",
       "        '2023-03-05 (Sa)', '2023-03-04 (Vi)', '2023-03-03 (Ju)',\n",
       "        '2023-03-02 (Mi)', '2023-03-01 (Ma)', '2022-02-27 (Sa)',\n",
       "        '2022-02-26 (Vi)', '2022-02-25 (Ju)', '2022-02-24 (Mi)',\n",
       "        '2022-02-23 (Ma)', '2022-02-22 (Lu)', '2022-02-21 (Do)',\n",
       "        '2022-02-20 (Sa)', '2022-02-19 (Vi)', '2022-02-18 (Ju)',\n",
       "        '2022-02-17 (Mi)', '2022-02-16 (Ma)', '2022-02-15 (Lu)',\n",
       "        '2022-02-14 (Do)', '2022-02-13 (Sa)', '2022-02-12 (Vi)',\n",
       "        '2022-02-11 (Ju)', '2022-02-10 (Mi)', '2022-02-09 (Ma)',\n",
       "        '2022-02-08 (Lu)', '2022-02-07 (Do)', '2022-02-06 (Sa)',\n",
       "        '2022-02-05 (Vi)', '2022-02-04 (Ju)', '2022-02-03 (Mi)',\n",
       "        '2022-02-02 (Ma)', '2022-02-01 (Lu)', '2022-03-30 (Ma)',\n",
       "        '2022-03-28 (Do)', '2022-03-27 (Sa)', '2022-03-26 (Vi)',\n",
       "        '2022-03-25 (Ju)', '2022-03-24 (Mi)', '2022-03-23 (Ma)',\n",
       "        '2022-03-22 (Lu)', '2022-03-21 (Do)', '2022-03-20 (Sa)',\n",
       "        '2022-03-19 (Vi)', '2022-03-18 (Ju)', '2022-03-17 (Mi)',\n",
       "        '2022-03-16 (Ma)', '2022-03-15 (Lu)', '2022-03-14 (Do)',\n",
       "        '2022-03-13 (Sa)', '2022-03-12 (Vi)', '2022-03-11 (Ju)',\n",
       "        '2022-03-10 (Mi)', '2022-03-09 (Ma)', '2022-03-08 (Lu)',\n",
       "        '2022-03-07 (Do)', '2022-03-06 (Sa)', '2022-03-05 (Vi)',\n",
       "        '2022-03-04 (Ju)', '2022-03-03 (Mi)', '2022-03-02 (Ma)',\n",
       "        '2022-03-01 (Lu)', '2022-04-29 (Ju)', '2022-04-28 (Mi)',\n",
       "        '2022-04-27 (Ma)', '2022-04-26 (Lu)', '2022-04-19 (Lu)',\n",
       "        '2022-04-18 (Do)', '2022-04-16 (Vi)', '2022-04-15 (Ju)',\n",
       "        '2022-04-14 (Mi)', '2022-04-13 (Ma)', '2022-04-12 (Lu)',\n",
       "        '2022-04-11 (Do)', '2022-04-10 (Sa)', '2022-04-09 (Vi)',\n",
       "        '2022-04-08 (Ju)', '2022-04-07 (Mi)', '2022-04-06 (Ma)',\n",
       "        '2022-04-05 (Lu)', '2022-04-04 (Do)', '2022-04-03 (Sa)',\n",
       "        '2022-04-02 (Vi)', '2022-04-01 (Ju)', '2022-05-30 (Do)',\n",
       "        '2022-05-29 (Sa)', '2022-05-28 (Vi)', '2022-05-27 (Ju)',\n",
       "        '2022-05-26 (Mi)', '2022-05-25 (Ma)', '2022-05-24 (Lu)',\n",
       "        '2022-05-23 (Do)', '2022-05-22 (Sa)', '2022-05-21 (Vi)',\n",
       "        '2022-05-20 (Ju)', '2022-05-19 (Mi)', '2022-05-18 (Ma)',\n",
       "        '2022-05-17 (Lu)', '2022-05-16 (Do)', '2022-05-15 (Sa)',\n",
       "        '2022-05-14 (Vi)', '2022-05-13 (Ju)', '2022-05-12 (Mi)',\n",
       "        '2022-05-11 (Ma)', '2022-05-10 (Lu)', '2022-05-09 (Do)',\n",
       "        '2022-05-08 (Sa)', '2022-05-07 (Vi)', '2022-05-05 (Mi)',\n",
       "        '2022-05-04 (Ma)', '2022-05-03 (Lu)', '2022-05-02 (Do)',\n",
       "        '2022-05-01 (Sa)', '2022-06-29 (Ma)', '2022-06-28 (Lu)',\n",
       "        '2022-06-27 (Do)', '2022-06-26 (Sa)', '2022-06-25 (Vi)',\n",
       "        '2022-06-24 (Ju)', '2022-06-23 (Mi)', '2022-06-22 (Ma)',\n",
       "        '2022-06-21 (Lu)', '2022-06-20 (Do)', '2022-06-19 (Sa)',\n",
       "        '2022-06-18 (Vi)', '2022-06-17 (Ju)', '2022-06-16 (Mi)',\n",
       "        '2022-06-15 (Ma)', '2022-06-14 (Lu)', '2022-06-13 (Do)',\n",
       "        '2022-06-12 (Sa)', '2022-06-11 (Vi)', '2022-06-10 (Ju)',\n",
       "        '2022-06-09 (Mi)', '2022-06-08 (Ma)', '2022-06-07 (Lu)',\n",
       "        '2022-06-06 (Do)', '2022-06-05 (Sa)', '2022-06-04 (Vi)',\n",
       "        '2022-06-03 (Ju)', '2022-06-02 (Mi)', '2022-06-01 (Ma)',\n",
       "        '2022-07-30 (Vi)', '2022-07-29 (Ju)', '2022-07-28 (Mi)',\n",
       "        '2022-07-27 (Ma)', '2022-07-26 (Lu)', '2022-07-25 (Do)',\n",
       "        '2022-07-24 (Sa)', '2022-07-23 (Vi)', '2022-07-22 (Ju)',\n",
       "        '2022-07-21 (Mi)', '2022-07-20 (Ma)', '2022-07-19 (Lu)',\n",
       "        '2022-07-18 (Do)', '2022-07-17 (Sa)', '2022-07-16 (Vi)',\n",
       "        '2022-07-15 (Ju)', '2022-07-14 (Mi)', '2022-07-13 (Ma)',\n",
       "        '2022-07-12 (Lu)', '2022-07-11 (Do)', '2022-07-10 (Sa)',\n",
       "        '2022-07-09 (Vi)', '2022-07-08 (Ju)', '2022-07-07 (Mi)',\n",
       "        '2022-07-06 (Ma)', '2022-07-05 (Lu)', '2022-07-04 (Do)',\n",
       "        '2022-07-03 (Sa)', '2022-07-02 (Vi)', '2022-07-01 (Ju)',\n",
       "        '2022-08-30 (Lu)', '2022-08-29 (Do)', '2022-08-28 (Sa)',\n",
       "        '2022-08-27 (Vi)', '2022-08-26 (Ju)', '2022-08-25 (Mi)',\n",
       "        '2022-08-24 (Ma)', '2022-08-23 (Lu)', '2022-08-22 (Do)',\n",
       "        '2022-08-21 (Sa)', '2022-08-20 (Vi)', '2022-08-19 (Ju)',\n",
       "        '2022-08-18 (Mi)', '2022-08-17 (Ma)', '2022-08-16 (Lu)',\n",
       "        '2022-08-15 (Do)', '2022-08-14 (Sa)', '2022-08-13 (Vi)',\n",
       "        '2022-08-12 (Ju)', '2022-08-11 (Mi)', '2022-08-10 (Ma)',\n",
       "        '2022-08-09 (Lu)', '2022-08-08 (Do)', '2022-08-07 (Sa)',\n",
       "        '2022-08-06 (Vi)', '2022-08-05 (Ju)', '2022-08-04 (Mi)',\n",
       "        '2022-08-03 (Ma)', '2022-08-02 (Lu)', '2022-08-01 (Do)',\n",
       "        '2022-09-29 (Mi)', '2022-09-28 (Ma)', '2022-09-27 (Lu)',\n",
       "        '2022-09-26 (Do)', '2022-09-25 (Sa)', '2022-09-24 (Vi)',\n",
       "        '2022-09-23 (Ju)', '2022-09-22 (Mi)', '2022-09-21 (Ma)',\n",
       "        '2022-09-20 (Lu)', '2022-09-19 (Do)', '2022-09-18 (Sa)',\n",
       "        '2022-09-17 (Vi)', '2022-09-16 (Ju)', '2022-09-15 (Mi)',\n",
       "        '2022-09-14 (Ma)', '2022-09-13 (Lu)', '2022-09-12 (Do)',\n",
       "        '2022-09-11 (Sa)', '2022-09-10 (Vi)', '2022-09-09 (Ju)',\n",
       "        '2022-09-08 (Mi)', '2022-09-07 (Ma)', '2022-09-06 (Lu)',\n",
       "        '2022-09-05 (Do)', '2022-09-04 (Sa)', '2022-09-03 (Vi)',\n",
       "        '2022-09-02 (Ju)', '2022-09-01 (Mi)'], dtype=object))"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tarj_max_eventos_hora[\"idsam\"].unique(), tarj_max_eventos_hora[\"idrutaestacion\"].unique(), tarj_max_eventos_hora[\"ymd\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "10368686-4b2c-4a14-886e-1b83e74f8997",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# usuarios por día\n",
    "usuario_por_dia = D[[\"ymd\", \"serialtarjeta\", \"idrutaestacion\"]].groupby([\"ymd\", \"idrutaestacion\"])[\"serialtarjeta\"].nunique().reset_index()\n",
    "usuario_por_dia\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b5bdb163-8243-4f50-acc9-4bf0d59f23b0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "idsam_idrutaestacion = D[[\"idsam\", \"idrutaestacion\"]].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34e66ea1-89fc-4834-850e-ff87c44607ec",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tarj_dia = D[[\"serialtarjeta\", \"ymd\"]].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07a567e5-b767-43b0-8c5b-339c62b6481a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tarj_dia[\"val\"] = 1\n",
    "usos_tarj_dia = tarj_dia.groupby([\"serialtarjeta\", \"ymd\"]).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3b892db-25af-4e9d-85a0-692c38036c33",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "count_usos_tarj_dia = usos_tarj_dia.reset_index().sort_values(\"val\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d2a109e5-1c1b-4c23-a664-f48a0d161228",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "count_usos_tarj_dia_top50 = count_usos_tarj_dia[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9c012b7-d9fc-44d0-bcc5-3a6004e30900",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "data = {k:[] for k in [\"serialtarjeta\", \"ymd\", \"montoevento\", \"tipoevento\", \"idrutaestacion\"]}\n",
    "for i, r in count_usos_tarj_dia_top50.iterrows():\n",
    "    cond = (D[\"serialtarjeta\"] == r[\"serialtarjeta\"]) & (D[\"ymd\"] == r[\"ymd\"])\n",
    "    d = D[cond]\n",
    "    for _, rr in d.iterrows():\n",
    "        data[\"serialtarjeta\"].append(rr[\"serialtarjeta\"])\n",
    "        data[\"ymd\"].append(rr[\"ymd\"])\n",
    "        data[\"montoevento\"].append(rr[\"montoevento\"])\n",
    "        data[\"tipoevento\"].append(rr[\"tipoevento\"])\n",
    "        data[\"idrutaestacion\"].append(rr[\"idrutaestacion\"])\n",
    "top_spenders = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7994168c-5041-43ce-aceb-3a51a7c8e361",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "tarjeta = \"\" #rellenar con la tarjeta a analizar\n",
    "dia = \"2022-04-25 (Do)\"\n",
    "cond = (D[\"serialtarjeta\"] == tarjeta) & (D[\"ymd\"] == dia)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3c2545eb-980c-4b1c-a738-817764e8d75f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "f, ax = plt.subplots(figsize=(10, 5))\n",
    "sns.histplot(D[cond], x=\"hour\", bins=range(24))\n",
    "ax.set_ylabel(\"cantidad de eventos\")\n",
    "ax.set_xlabel(\"hora\")\n",
    "ax.set_title(f\"Cantidad de eventos para tarjeta <ANONIMIZADO> el {dia}\\n# de eventos: {D[cond].shape[0]} monto: {D[cond]['montoevento'].sum()}\")\n",
    "plt.show()\n",
    "plt.close(\"all\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "831791ee-a022-4d90-8a4a-1446a6addc72",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "top_spenders.groupby([\"serialtarjeta\", \"ymd\"]).agg({\"montoevento\":\"sum\", \"tipoevento\":\"count\", \"idrutaestacion\":\"nunique\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67d7d573-8cc4-480e-9d1b-801070d57521",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "D[D[\"serialtarjeta\"] == \"18f6e00ec04d8e05438254c3b1e8502b\"].to_csv(\"biggest_spender.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6c6be51-46d5-4af1-84ae-be503a0becd3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "users_by_month.reset_index().to_csv(\"tarjeta_dia_mes.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8de2459-9187-4364-9cd4-5000564c770b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "cond = usuario_por_dia[\"idrutaestacion\"].isin(['0091', '0016', '0155', '0090', '005b', '0143', '005c', '0145'])\n",
    "d = usuario_por_dia[cond].pivot(index=\"ymd\", columns=\"idrutaestacion\", values=\"serialtarjeta\").fillna(0)\n",
    "\n",
    "cond = ~usuario_por_dia[\"idrutaestacion\"].isin(['0000'])\n",
    "d = usuario_por_dia[cond].pivot(index=\"ymd\", columns=\"idrutaestacion\", values=\"serialtarjeta\").fillna(0)\n",
    "\n",
    "cmap=plt.get_cmap(\"crest_r\")\n",
    "cmap.set_under(\"lightsalmon\")\n",
    "f, ax = plt.subplots(figsize=(30, 70))\n",
    "sns.heatmap(d.astype(int).T, \n",
    "            annot=True,\n",
    "            cmap=cmap,\n",
    "            vmin=1,\n",
    "            fmt=\",\",\n",
    "            ax=ax)\n",
    "ax.set_ylabel(\"día\")\n",
    "ax.set_xlabel(\"ID Ruta/Estación\")\n",
    "ax.set_title(f\"Cantidad tarjetas activas por día e ID Ruta/Estación\")\n",
    "plt.savefig(f'usuarios-por-dia.pdf', bbox_inches='tight')\n",
    "plt.show()\n",
    "plt.close(\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcb70b85-cdde-4897-b01d-b592d2f4316a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "dd = D[cond][[\"ymd\", \"hour\", \"idrutaestacion\", \"idsam\"]].copy()\n",
    "d = dd.groupby([\"ymd\", \"hour\", \"idrutaestacion\"])[\"idsam\"].nunique().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b85e4e35-63d3-40f8-af4c-7bb4b9d2f5e7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "rutaestacion = \"005a\"\n",
    "cond = d[\"idrutaestacion\"] == rutaestacion\n",
    "d = d[cond].pivot(index=\"ymd\", columns=\"hour\", values=\"idsam\").fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "617a6613-863d-422b-abc3-c8f528886095",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "cmap=plt.get_cmap(\"crest_r\")\n",
    "cmap.set_under(\"lightsalmon\")\n",
    "f, ax = plt.subplots(figsize=(15, 10))\n",
    "sns.heatmap(d.astype(int), \n",
    "            annot=True,\n",
    "            cmap=cmap,\n",
    "            vmin=1,\n",
    "            fmt=\",\",\n",
    "            ax=ax)\n",
    "ax.set_ylabel(\"día\")\n",
    "ax.set_xlabel(\"hora\")\n",
    "ax.set_title(f\"Cantidad de SAMs activos por día/hora para ID Ruta/Estación = {rutaestacion}\")\n",
    "plt.show()\n",
    "plt.close(\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "4f3c3351-0a91-4142-9960-c5cc488a41f7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "monto_by_x = D.groupby([\"tipoevento\", \"tipotransporte\", \"producto\", \"year\", \"month\"])[\"montoevento\"].sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "2c5c7129-cfb7-4b20-bdb3-dfc21255bee8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "monto_by_x[\"ym\"] = monto_by_x[\"year\"].astype(\"str\") + \"/\" + monto_by_x[\"month\"].astype(\"str\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "8837b24b-54d9-4307-81a7-21b1ccee49b2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1110.74x1500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cond = monto_by_x[\"tipoevento\"] == 4\n",
    "g = sns.catplot(data=monto_by_x.sort_values([\"year\", \"month\"]),\n",
    "                x=\"montoevento\",\n",
    "                y=\"ym\",\n",
    "                #col=\"tipoevento\",\n",
    "                hue=\"tipotransporte\",\n",
    "                row=\"producto\",\n",
    "                kind=\"bar\")\n",
    "# iterate through axes\n",
    "def to_int(x):\n",
    "    if np.isnan(x):\n",
    "        return 0\n",
    "    return int(x)\n",
    "\n",
    "for ax in g.axes.ravel():\n",
    "    \n",
    "    # add annotations\n",
    "    for c in ax.containers:\n",
    "        labels = [f' {to_int(v.get_width())/1000000:.1f}M' for v in c]\n",
    "        ax.bar_label(c, labels=labels, label_type='edge', fontsize=6)\n",
    "    #ax.margins(y=0.2)\n",
    "    #ax.set_xscale(\"log\")\n",
    "#g.set_xticklabels(rotation=30)\n",
    "fig = g.get_figure()\n",
    "fig.savefig(\"img/distribucion-monto-por-mes.png\")\n",
    "fig.savefig(\"img/distribucion-monto-por-mes.pdf\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "fe3fdae0-83af-4947-bcdf-0e0ec6678b3d",
   "metadata": {
    "tags": []
   },
   "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>tipoevento</th>\n",
       "      <th>tipotransporte</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>montoevento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.0</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>8.000000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.750000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2022.187500</td>\n",
       "      <td>5.725000</td>\n",
       "      <td>4.201930e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.996833</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.392775</td>\n",
       "      <td>3.593155</td>\n",
       "      <td>8.507300e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>2.750000</td>\n",
       "      <td>5.694750e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.846402e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2022.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>5.693742e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2023.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2.431084e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       tipoevento  tipotransporte         year      month   montoevento\n",
       "count   80.000000            80.0    80.000000  80.000000  8.000000e+01\n",
       "mean     5.750000             3.0  2022.187500   5.725000  4.201930e+09\n",
       "std      1.996833             0.0     0.392775   3.593155  8.507300e+09\n",
       "min      4.000000             3.0  2022.000000   1.000000  0.000000e+00\n",
       "25%      4.000000             3.0  2022.000000   2.750000  5.694750e+05\n",
       "50%      4.000000             3.0  2022.000000   5.000000  8.846402e+07\n",
       "75%      8.000000             3.0  2022.000000   9.000000  5.693742e+08\n",
       "max      8.000000             3.0  2023.000000  12.000000  2.431084e+10"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monto_by_x[monto_by_x[\"tipotransporte\"] == 3].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "092c7a13-fb78-42c4-91fd-ee688e34d375",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "cond = (D[\"producto\"] == \"MO\") & (D[\"tipoevento\"] == 4)\n",
    "tarj_counts = D[cond][\"serialtarjeta\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87e8ed0f-9d5b-4ebd-bc52-9dfad8a20e50",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "sns.kdeplot(tarj_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe66418e-80e9-425c-9b7a-f98589137323",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "sns.kdeplot(tarj_counts[tarj_counts < 1000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "6c379c92-a40f-429e-a995-03a22284aeef",
   "metadata": {
    "tags": []
   },
   "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>serialtarjeta</th>\n",
       "      <th>idsam</th>\n",
       "      <th>fechahoraevento</th>\n",
       "      <th>producto</th>\n",
       "      <th>montoevento</th>\n",
       "      <th>consecutivoevento</th>\n",
       "      <th>identidad</th>\n",
       "      <th>tipoevento</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>idrutaestacion</th>\n",
       "      <th>tipotransporte</th>\n",
       "      <th>ymd</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5f868508278068444f6d3ebba07b53f9</td>\n",
       "      <td>0408351a846280</td>\n",
       "      <td>2022-01-30 23:59:30</td>\n",
       "      <td>MO</td>\n",
       "      <td>2300</td>\n",
       "      <td>66</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.31210</td>\n",
       "      <td>-57.58675</td>\n",
       "      <td>0091</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-01-30 (Sa)</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5f868508278068444f6d3ebba07b53f9</td>\n",
       "      <td>0408351a846280</td>\n",
       "      <td>2022-01-30 23:59:24</td>\n",
       "      <td>MO</td>\n",
       "      <td>2300</td>\n",
       "      <td>65</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.31210</td>\n",
       "      <td>-57.58676</td>\n",
       "      <td>0091</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-01-30 (Sa)</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5f868508278068444f6d3ebba07b53f9</td>\n",
       "      <td>0408351a846280</td>\n",
       "      <td>2022-01-30 23:59:20</td>\n",
       "      <td>MO</td>\n",
       "      <td>2300</td>\n",
       "      <td>64</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.31210</td>\n",
       "      <td>-57.58676</td>\n",
       "      <td>0091</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-01-30 (Sa)</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>d3920a8d2b256df92809fec81bfe2338</td>\n",
       "      <td>0408351a846280</td>\n",
       "      <td>2022-01-30 23:59:12</td>\n",
       "      <td>MO</td>\n",
       "      <td>2300</td>\n",
       "      <td>258</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.31210</td>\n",
       "      <td>-57.58676</td>\n",
       "      <td>0091</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-01-30 (Sa)</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>d3920a8d2b256df92809fec81bfe2338</td>\n",
       "      <td>0408351a846280</td>\n",
       "      <td>2022-01-30 23:59:08</td>\n",
       "      <td>MO</td>\n",
       "      <td>2300</td>\n",
       "      <td>257</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.31210</td>\n",
       "      <td>-57.58676</td>\n",
       "      <td>0091</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-01-30 (Sa)</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "      <td>23</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15789063</th>\n",
       "      <td>6d843236281f72bfb5c7a09670581314</td>\n",
       "      <td>041f1ae24e6180</td>\n",
       "      <td>2022-09-01 00:00:58</td>\n",
       "      <td>MO</td>\n",
       "      <td>2300</td>\n",
       "      <td>311</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.28009</td>\n",
       "      <td>-57.64297</td>\n",
       "      <td>0090</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-09-01 (Mi)</td>\n",
       "      <td>2022</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15789064</th>\n",
       "      <td>5143d75e64e86d49b46ca736528090ad</td>\n",
       "      <td>04421f2a846280</td>\n",
       "      <td>2022-09-01 00:00:26</td>\n",
       "      <td>MO</td>\n",
       "      <td>3400</td>\n",
       "      <td>582</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.26310</td>\n",
       "      <td>-57.59296</td>\n",
       "      <td>0021</td>\n",
       "      <td>3</td>\n",
       "      <td>2022-09-01 (Mi)</td>\n",
       "      <td>2022</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15789065</th>\n",
       "      <td>2c84a147486b58c7ece4da0b60fee32c</td>\n",
       "      <td>04421f2a846280</td>\n",
       "      <td>2022-09-01 00:00:22</td>\n",
       "      <td>MO</td>\n",
       "      <td>3400</td>\n",
       "      <td>612</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.26310</td>\n",
       "      <td>-57.59296</td>\n",
       "      <td>0021</td>\n",
       "      <td>3</td>\n",
       "      <td>2022-09-01 (Mi)</td>\n",
       "      <td>2022</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15789066</th>\n",
       "      <td>cfedb51ad5f6d888f3f02e3bd1c400d9</td>\n",
       "      <td>043c1942846280</td>\n",
       "      <td>2022-09-01 00:00:14</td>\n",
       "      <td>CR</td>\n",
       "      <td>500</td>\n",
       "      <td>1046</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.34468</td>\n",
       "      <td>-57.50354</td>\n",
       "      <td>0043</td>\n",
       "      <td>3</td>\n",
       "      <td>2022-09-01 (Mi)</td>\n",
       "      <td>2022</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15789067</th>\n",
       "      <td>cfedb51ad5f6d888f3f02e3bd1c400d9</td>\n",
       "      <td>043c1942846280</td>\n",
       "      <td>2022-09-01 00:00:14</td>\n",
       "      <td>MO</td>\n",
       "      <td>2900</td>\n",
       "      <td>1045</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>-25.34468</td>\n",
       "      <td>-57.50354</td>\n",
       "      <td>0043</td>\n",
       "      <td>3</td>\n",
       "      <td>2022-09-01 (Mi)</td>\n",
       "      <td>2022</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>217479675 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             serialtarjeta           idsam  \\\n",
       "0         5f868508278068444f6d3ebba07b53f9  0408351a846280   \n",
       "1         5f868508278068444f6d3ebba07b53f9  0408351a846280   \n",
       "2         5f868508278068444f6d3ebba07b53f9  0408351a846280   \n",
       "3         d3920a8d2b256df92809fec81bfe2338  0408351a846280   \n",
       "4         d3920a8d2b256df92809fec81bfe2338  0408351a846280   \n",
       "...                                    ...             ...   \n",
       "15789063  6d843236281f72bfb5c7a09670581314  041f1ae24e6180   \n",
       "15789064  5143d75e64e86d49b46ca736528090ad  04421f2a846280   \n",
       "15789065  2c84a147486b58c7ece4da0b60fee32c  04421f2a846280   \n",
       "15789066  cfedb51ad5f6d888f3f02e3bd1c400d9  043c1942846280   \n",
       "15789067  cfedb51ad5f6d888f3f02e3bd1c400d9  043c1942846280   \n",
       "\n",
       "             fechahoraevento producto  montoevento  consecutivoevento  \\\n",
       "0        2022-01-30 23:59:30       MO         2300                 66   \n",
       "1        2022-01-30 23:59:24       MO         2300                 65   \n",
       "2        2022-01-30 23:59:20       MO         2300                 64   \n",
       "3        2022-01-30 23:59:12       MO         2300                258   \n",
       "4        2022-01-30 23:59:08       MO         2300                257   \n",
       "...                      ...      ...          ...                ...   \n",
       "15789063 2022-09-01 00:00:58       MO         2300                311   \n",
       "15789064 2022-09-01 00:00:26       MO         3400                582   \n",
       "15789065 2022-09-01 00:00:22       MO         3400                612   \n",
       "15789066 2022-09-01 00:00:14       CR          500               1046   \n",
       "15789067 2022-09-01 00:00:14       MO         2900               1045   \n",
       "\n",
       "          identidad  tipoevento  latitude  longitude idrutaestacion  \\\n",
       "0                 3           4 -25.31210  -57.58675           0091   \n",
       "1                 3           4 -25.31210  -57.58676           0091   \n",
       "2                 3           4 -25.31210  -57.58676           0091   \n",
       "3                 3           4 -25.31210  -57.58676           0091   \n",
       "4                 3           4 -25.31210  -57.58676           0091   \n",
       "...             ...         ...       ...        ...            ...   \n",
       "15789063          3           4 -25.28009  -57.64297           0090   \n",
       "15789064          2           4 -25.26310  -57.59296           0021   \n",
       "15789065          2           4 -25.26310  -57.59296           0021   \n",
       "15789066          2           4 -25.34468  -57.50354           0043   \n",
       "15789067          2           4 -25.34468  -57.50354           0043   \n",
       "\n",
       "          tipotransporte              ymd  year  month  day  hour  \n",
       "0                      1  2022-01-30 (Sa)  2022      1   30    23  \n",
       "1                      1  2022-01-30 (Sa)  2022      1   30    23  \n",
       "2                      1  2022-01-30 (Sa)  2022      1   30    23  \n",
       "3                      1  2022-01-30 (Sa)  2022      1   30    23  \n",
       "4                      1  2022-01-30 (Sa)  2022      1   30    23  \n",
       "...                  ...              ...   ...    ...  ...   ...  \n",
       "15789063               1  2022-09-01 (Mi)  2022      9    1     0  \n",
       "15789064               3  2022-09-01 (Mi)  2022      9    1     0  \n",
       "15789065               3  2022-09-01 (Mi)  2022      9    1     0  \n",
       "15789066               3  2022-09-01 (Mi)  2022      9    1     0  \n",
       "15789067               3  2022-09-01 (Mi)  2022      9    1     0  \n",
       "\n",
       "[217479675 rows x 17 columns]"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "44caf0c5-3e5c-4618-81fb-1f1c76481e2c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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