3.3 Resumen_tecnicos_instaladores.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "17da4045-daf2-4cda-bac9-5c6d282c519f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import streamlit as st\n",
    "#import pandas as pd\n",
    "#import altair as alt\n",
    "#import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "93bb3d07",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "from datetime import datetime\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.lines as mlines\n",
    "import matplotlib.ticker as mtick\n",
    "import os\n",
    "import platform\n",
    "import glob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "817c9d80",
   "metadata": {},
   "outputs": [],
   "source": [
    "if platform.system()=='Windows': \n",
    "    #Directorios Windows\n",
    "    os.chdir(\n",
    "        r\"G:\\.shortcut-targets-by-id\\120bUa35y3FJzvumWahpOx1qS9I6TIrhb\\GIGANAV\")\n",
    "\n",
    "if platform.system()=='Darwin':\n",
    "    os.chdir(\n",
    "        '/Users/juliandiazparra/Library/CloudStorage/GoogleDrive-julian.adiaz@hotmail.com/Mi unidad/Negocios/Familiar/GIGANAV')\n",
    "\n",
    "folder=os.getcwd()\n",
    "data=os.path.join(folder,'Datos')\n",
    "provisiones=os.path.join(data,'Provisiones')\n",
    "facturas=os.path.join(data,'Facturas')\n",
    "tickets=os.path.join(data,'Tickets')\n",
    "usuarios=os.path.join(data,'Usuarios')\n",
    "egresos=os.path.join(data,'Egresos')\n",
    "transacciones=os.path.join(data,'Transacciones')\n",
    "analisis=os.path.join(folder,'Operacion/Analisis')\n",
    "resultados=os.path.join(analisis,'Resultados')\n",
    "bases=os.path.join(analisis,'Bases_analisis')\n",
    "outputs=os.path.join(analisis,'Outputs')\n",
    "plots=os.path.join(outputs,'Gráficos')\n",
    "usuarios_clean=os.path.join(bases,'Usuarios')\n",
    "transac_clean=os.path.join(bases,'Transacciones')\n",
    "tickets_clean=os.path.join(bases,'Tickets')\n",
    "facturas_clean=os.path.join(bases,'Facturas')\n",
    "egresos_clean=os.path.join(bases,'Egresos')\n",
    "working=os.path.join(bases,'Bases_trabajo')\n",
    "codigo=os.path.join(folder,'Operacion/Analisis/Código')\n",
    "conciliaciones=os.path.join(folder,'Operacion/Operativo/Administrativo/Conciliaciones')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "325a4aad",
   "metadata": {},
   "source": [
    "## Importación base de trabajo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7e05287f-a585-4210-a4cd-9742f2372390",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 16080 entries, 0 to 16079\n",
      "Data columns (total 70 columns):\n",
      " #   Column                 Non-Null Count  Dtype  \n",
      "---  ------                 --------------  -----  \n",
      " 0   Unnamed: 0             16080 non-null  int64  \n",
      " 1   id_ticket              16080 non-null  int64  \n",
      " 2   departamento           16080 non-null  object \n",
      " 3   nombre                 16080 non-null  object \n",
      " 4   asunto                 16080 non-null  object \n",
      " 5   tecnico                16080 non-null  object \n",
      " 6   zona                   16040 non-null  object \n",
      " 7   abierto_por            16080 non-null  object \n",
      " 8   instal                 16080 non-null  int64  \n",
      " 9   soporte                16080 non-null  int64  \n",
      " 10  traslado               16080 non-null  int64  \n",
      " 11  retiro                 16080 non-null  int64  \n",
      " 12  mantenimiento          16080 non-null  int64  \n",
      " 13  facturacion            16080 non-null  int64  \n",
      " 14  cambio_plan            16080 non-null  int64  \n",
      " 15  suspendido             16080 non-null  int64  \n",
      " 16  tv                     16080 non-null  int64  \n",
      " 17  llamada                16080 non-null  int64  \n",
      " 18  categoria              15063 non-null  object \n",
      " 19  fecha_abierto          16080 non-null  object \n",
      " 20  fecha_cerrado          16080 non-null  object \n",
      " 21  mes_crd                16080 non-null  object \n",
      " 22  first_day              16080 non-null  object \n",
      " 23  tiempo_resolucion      16080 non-null  object \n",
      " 24  cat_tecnico            15063 non-null  float64\n",
      " 25  comercial              15063 non-null  float64\n",
      " 26  Id                     16080 non-null  int64  \n",
      " 27  estado                 16080 non-null  object \n",
      " 28  radio                  16080 non-null  int64  \n",
      " 29  Tipo estrato           16080 non-null  int64  \n",
      " 30  megas                  16080 non-null  int64  \n",
      " 31  TV                     16080 non-null  int64  \n",
      " 32  Telefono               12203 non-null  object \n",
      " 33  Movil                  15989 non-null  object \n",
      " 34  Correo                 12405 non-null  object \n",
      " 35  Zona                   16040 non-null  object \n",
      " 36  tarifa                 16080 non-null  float64\n",
      " 37  Deuda actual           4901 non-null   object \n",
      " 38  ID de registro         16022 non-null  float64\n",
      " 39  meses_suspendido       1548 non-null   float64\n",
      " 40  deuda                  1548 non-null   float64\n",
      " 41  tecnologia             16080 non-null  object \n",
      " 42  tipo_servicio          16080 non-null  object \n",
      " 43  tipo_usuario           16080 non-null  object \n",
      " 44  _merge                 16080 non-null  object \n",
      " 45  tecnico_1              1915 non-null   object \n",
      " 46  tecnico_2              341 non-null    object \n",
      " 47  conector_mecanico      1915 non-null   float64\n",
      " 48  fibra_drop             1915 non-null   float64\n",
      " 49  conector_coaxial       1915 non-null   float64\n",
      " 50  tensores               1915 non-null   float64\n",
      " 51  cable_coaxial          1915 non-null   float64\n",
      " 52  cable_utp              1915 non-null   float64\n",
      " 53  rjs                    1915 non-null   float64\n",
      " 54  deco_tdt               1915 non-null   float64\n",
      " 55  splitter_2             1915 non-null   float64\n",
      " 56  splitter_3             1915 non-null   float64\n",
      " 57  splitter_4             1915 non-null   float64\n",
      " 58  mininodos              1915 non-null   float64\n",
      " 59  otros                  1915 non-null   float64\n",
      " 60  merge2                 16080 non-null  object \n",
      " 61  fecha_enc_sat          104 non-null    object \n",
      " 62  calificacion_personal  104 non-null    float64\n",
      " 63  resolvio               104 non-null    float64\n",
      " 64  promoter               104 non-null    float64\n",
      " 65  calificacion_servicio  75 non-null     float64\n",
      " 66  merge_sat              16080 non-null  object \n",
      " 67  encuesta               16080 non-null  bool   \n",
      " 68  residencial            16080 non-null  int64  \n",
      " 69  tiempo_resol           16080 non-null  float64\n",
      "dtypes: bool(1), float64(24), int64(18), object(27)\n",
      "memory usage: 8.5+ MB\n"
     ]
    }
   ],
   "source": [
    "list_of_files = glob.glob(os.path.join(outputs,'Base_tickets*.csv'))\n",
    "latest_file = max(list_of_files, key=os.path.getctime)\n",
    "working_data=pd.read_csv(latest_file, low_memory=False)\n",
    "working_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1cbb5f35-4bc2-4390-a8f5-3c8cb2ec3a90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        Leonardo Quezada\n",
       "2         Esneider García\n",
       "4         Esneider García\n",
       "6          Alfonso Arango\n",
       "9          Alfonso Arango\n",
       "               ...       \n",
       "5807     Leonardo Quezada\n",
       "5898      Esneider García\n",
       "5933     Leonardo Quezada\n",
       "6028      Esneider García\n",
       "12256         Sair Bolaño\n",
       "Name: tecnico_1, Length: 1915, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "working_data.loc[working_data['tecnico_1'].notna(),'tecnico_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "43e79e2c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/_1/wccngqsd417dbsr4pcv82tj80000gn/T/ipykernel_4936/1201060034.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  working_data[['tecnico_1','tecnico_2']].fillna('', inplace=True)\n"
     ]
    }
   ],
   "source": [
    "#Identifico ticket si cada tecnico aparece\n",
    "working_data[['tecnico_1','tecnico_2']].fillna('', inplace=True)\n",
    "\n",
    "#Creo variable de participacion de cada tecnico\n",
    "for t in list(working_data.loc[\n",
    "    working_data['tecnico_1'].notna(),\n",
    "    'tecnico_1'].unique()):\n",
    "    \n",
    "    working_data.loc[\n",
    "        :,t.split()[0]\n",
    "    ]=np.select([(working_data['tecnico_1']==t) |\n",
    "        (working_data['tecnico_2']==t)],[1],default=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2552c53e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mes_crd</th>\n",
       "      <th>num_enc_Esneider</th>\n",
       "      <th>num_enc_Alfonso</th>\n",
       "      <th>num_enc_Sair</th>\n",
       "      <th>num_enc_Leonardo</th>\n",
       "      <th>num_enc_Jaime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2024-03</td>\n",
       "      <td>41</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2024-04</td>\n",
       "      <td>85</td>\n",
       "      <td>23</td>\n",
       "      <td>33</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2024-05</td>\n",
       "      <td>31</td>\n",
       "      <td>33</td>\n",
       "      <td>42</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2024-06</td>\n",
       "      <td>123</td>\n",
       "      <td>82</td>\n",
       "      <td>25</td>\n",
       "      <td>45</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2024-07</td>\n",
       "      <td>30</td>\n",
       "      <td>63</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>141</td>\n",
       "      <td>32</td>\n",
       "      <td>14</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2024-09</td>\n",
       "      <td>101</td>\n",
       "      <td>54</td>\n",
       "      <td>147</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2024-10</td>\n",
       "      <td>68</td>\n",
       "      <td>26</td>\n",
       "      <td>30</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mes_crd  num_enc_Esneider  num_enc_Alfonso  num_enc_Sair  \\\n",
       "26  2024-03                41                2             9   \n",
       "27  2024-04                85               23            33   \n",
       "28  2024-05                31               33            42   \n",
       "29  2024-06               123               82            25   \n",
       "30  2024-07                30               63            39   \n",
       "31  2024-08               141               32            14   \n",
       "32  2024-09               101               54           147   \n",
       "33  2024-10                68               26            30   \n",
       "\n",
       "    num_enc_Leonardo  num_enc_Jaime  \n",
       "26                28              0  \n",
       "27                22              0  \n",
       "28                32              1  \n",
       "29                45             13  \n",
       "30                39             17  \n",
       "31                24              0  \n",
       "32               100              0  \n",
       "33                29              0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Numero de tickets atendidos por tecnico/mes\n",
    "num_tix_tecnicos=working_data.groupby(\n",
    "    'mes_crd').agg(\n",
    "    num_enc_Esneider=('Esneider','sum'), \n",
    "    num_enc_Alfonso=('Alfonso','sum'), \n",
    "    num_enc_Sair=('Sair','sum'), \n",
    "    num_enc_Leonardo=('Leonardo','sum'),\n",
    "    num_enc_Jaime=('Jaime','sum')).reset_index().tail(8)#.iloc[:-1]\n",
    "num_tix_tecnicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d26bb503",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mes_crd</th>\n",
       "      <th>temp_res_esneider</th>\n",
       "      <th>temp_res_alfonso</th>\n",
       "      <th>temp_res_sair</th>\n",
       "      <th>temp_res_leonardo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-01</td>\n",
       "      <td>1.157315</td>\n",
       "      <td>0.580307</td>\n",
       "      <td>3.100138</td>\n",
       "      <td>1.249617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-02</td>\n",
       "      <td>6.282914</td>\n",
       "      <td>2.303078</td>\n",
       "      <td>6.160362</td>\n",
       "      <td>6.070464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2024-03</td>\n",
       "      <td>3.373734</td>\n",
       "      <td>3.540041</td>\n",
       "      <td>3.560574</td>\n",
       "      <td>5.752671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2024-04</td>\n",
       "      <td>5.483799</td>\n",
       "      <td>4.118474</td>\n",
       "      <td>5.476820</td>\n",
       "      <td>4.136950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2024-05</td>\n",
       "      <td>8.041534</td>\n",
       "      <td>4.116548</td>\n",
       "      <td>6.026101</td>\n",
       "      <td>6.046150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-06</td>\n",
       "      <td>5.110987</td>\n",
       "      <td>3.814452</td>\n",
       "      <td>4.688127</td>\n",
       "      <td>3.654994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024-07</td>\n",
       "      <td>7.221304</td>\n",
       "      <td>4.861996</td>\n",
       "      <td>4.704807</td>\n",
       "      <td>4.813156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>3.020278</td>\n",
       "      <td>2.677497</td>\n",
       "      <td>1.658203</td>\n",
       "      <td>3.092824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024-09</td>\n",
       "      <td>2.560887</td>\n",
       "      <td>2.708966</td>\n",
       "      <td>3.270077</td>\n",
       "      <td>4.480184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024-10</td>\n",
       "      <td>3.592427</td>\n",
       "      <td>2.938447</td>\n",
       "      <td>2.324983</td>\n",
       "      <td>3.135928</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   mes_crd  temp_res_esneider  temp_res_alfonso  temp_res_sair  \\\n",
       "0  2024-01           1.157315          0.580307       3.100138   \n",
       "1  2024-02           6.282914          2.303078       6.160362   \n",
       "2  2024-03           3.373734          3.540041       3.560574   \n",
       "3  2024-04           5.483799          4.118474       5.476820   \n",
       "4  2024-05           8.041534          4.116548       6.026101   \n",
       "5  2024-06           5.110987          3.814452       4.688127   \n",
       "6  2024-07           7.221304          4.861996       4.704807   \n",
       "7  2024-08           3.020278          2.677497       1.658203   \n",
       "8  2024-09           2.560887          2.708966       3.270077   \n",
       "9  2024-10           3.592427          2.938447       2.324983   \n",
       "\n",
       "   temp_res_leonardo  \n",
       "0           1.249617  \n",
       "1           6.070464  \n",
       "2           5.752671  \n",
       "3           4.136950  \n",
       "4           6.046150  \n",
       "5           3.654994  \n",
       "6           4.813156  \n",
       "7           3.092824  \n",
       "8           4.480184  \n",
       "9           3.135928  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Promedio tiempo de respuesta por tecnico/mes\n",
    "temp_res_tecnicos_summary=working_data.loc[\n",
    "    working_data['Esneider']==1\n",
    "].groupby('mes_crd').agg(\n",
    "    temp_res_esneider=('tiempo_resol',pd.Series.mean)).merge(\n",
    "    working_data.loc[\n",
    "    working_data['Alfonso']==1\n",
    "].groupby('mes_crd').agg(\n",
    "    temp_res_alfonso=('tiempo_resol',pd.Series.mean)), \n",
    "    left_index=True, right_index=True).merge(\n",
    "    working_data.loc[\n",
    "    working_data['Sair']==1\n",
    "].groupby('mes_crd').agg(\n",
    "    temp_res_sair=('tiempo_resol',pd.Series.mean)), \n",
    "    left_index=True, right_index=True).merge(\n",
    "    working_data.loc[\n",
    "    working_data['Leonardo']==1\n",
    "].groupby('mes_crd').agg(\n",
    "    temp_res_leonardo=('tiempo_resol',pd.Series.mean)), \n",
    "    left_index=True, right_index=True).reset_index()\n",
    "temp_res_tecnicos_summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e8bcf13c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Grafico tickets y tiempo respuesta promedio\n",
    "fig,ax=plt.subplots()\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Esneider',\n",
    "    kind='line',ax=ax,color='blue')\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Alfonso',\n",
    "    kind='line',ax=ax,color='red')\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Sair',\n",
    "    kind='line',ax=ax,color='black')\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Leonardo',\n",
    "    kind='line',ax=ax,color='cyan')\n",
    "\n",
    "ax.legend(['Esneider', 'Alfonso', 'Sair','Leonardo'])\n",
    "\n",
    "plt.setp(ax, ylabel='Tickets', xlabel='')\n",
    "plt.suptitle('Total tickets por técnico/mes\\nGiganav Connections')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "776fe2ed-e28e-454f-ae53-216de220a3bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Grafico tickets y tiempo respuesta promedio\n",
    "fig,ax=plt.subplots()\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Esneider',\n",
    "    kind='line',ax=ax,color='blue')\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Alfonso',\n",
    "    kind='line',ax=ax,color='red')\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Sair',\n",
    "    kind='line',ax=ax,color='black')\n",
    "\n",
    "num_tix_tecnicos.iloc[-4:].plot(\n",
    "    x='mes_crd', y='num_enc_Leonardo',\n",
    "    kind='line',ax=ax,color='cyan')\n",
    "\n",
    "ax.legend(['Esneider', 'Alfonso', 'Sair','Leonardo'])\n",
    "\n",
    "plt.setp(ax, ylabel='Tickets', xlabel='')\n",
    "plt.suptitle('Total tickets por técnico/mes\\nGiganav Connections')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4b6778cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax=plt.subplots()\n",
    "\n",
    "temp_res_tecnicos_summary.iloc[-4:].plot(\n",
    "    x='mes_crd', y='temp_res_esneider',\n",
    "    kind='line',ax=ax,color='blue', grid=True)\n",
    "\n",
    "temp_res_tecnicos_summary.iloc[-4:].plot(\n",
    "    x='mes_crd', y='temp_res_alfonso',\n",
    "    kind='line',ax=ax,color='red', grid=True)\n",
    "\n",
    "temp_res_tecnicos_summary.iloc[-4:].plot(\n",
    "    x='mes_crd', y='temp_res_sair',\n",
    "    kind='line',ax=ax,color='black')\n",
    "\n",
    "temp_res_tecnicos_summary.iloc[-4:].plot(\n",
    "    x='mes_crd', y='temp_res_leonardo',\n",
    "    kind='line',ax=ax,color='cyan')\n",
    "\n",
    "ax.legend(['Esneider', 'Alfonso', 'Sair','Leonardo'])\n",
    "\n",
    "plt.setp(ax, ylabel='Días', xlabel='')\n",
    "plt.suptitle('Tiempo de resolución por técnico/mes\\nGiganav Connections')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36c54dde-cb4c-45b8-957e-d7f5d986eacf",
   "metadata": {},
   "source": [
    "Comparo con asignación de técnicos en Mikrowisp vs encuesta de material"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "36a48d82-3dde-4e24-89bc-b3bd5260e709",
   "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>mes_crd</th>\n",
       "      <th>tecnico</th>\n",
       "      <th>tickets_asignados</th>\n",
       "      <th>temp_res</th>\n",
       "      <th>num_enc_satisfaccion</th>\n",
       "      <th>promedio_satisfaccion</th>\n",
       "      <th>Promotores</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>ESNEIDER GARCIA BARAJAS</td>\n",
       "      <td>171</td>\n",
       "      <td>2.820270</td>\n",
       "      <td>3</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>KAROLINA GUERRERO PRINCE</td>\n",
       "      <td>135</td>\n",
       "      <td>0.230961</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>LEONARDO QUEZADA RAMIREZ</td>\n",
       "      <td>78</td>\n",
       "      <td>2.740390</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>SAIR BOLAÑO DURAN</td>\n",
       "      <td>78</td>\n",
       "      <td>3.768872</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>ALFONSO ARANGO TORO</td>\n",
       "      <td>73</td>\n",
       "      <td>3.357081</td>\n",
       "      <td>30</td>\n",
       "      <td>4.866667</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>No asignado</td>\n",
       "      <td>67</td>\n",
       "      <td>4.288558</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>JAIME LEONARDO BARRERA BARAJAS</td>\n",
       "      <td>58</td>\n",
       "      <td>1.746330</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>MIGUELPACHECO</td>\n",
       "      <td>14</td>\n",
       "      <td>0.005528</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>EDGARD FONSECA</td>\n",
       "      <td>11</td>\n",
       "      <td>15.045976</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>MAYRA FERNANDA TRUJILLO SUAREZ</td>\n",
       "      <td>5</td>\n",
       "      <td>2.185891</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     mes_crd                         tecnico  tickets_asignados   temp_res  \\\n",
       "159  2024-08         ESNEIDER GARCIA BARAJAS                171   2.820270   \n",
       "161  2024-08        KAROLINA GUERRERO PRINCE                135   0.230961   \n",
       "162  2024-08        LEONARDO QUEZADA RAMIREZ                 78   2.740390   \n",
       "166  2024-08               SAIR BOLAÑO DURAN                 78   3.768872   \n",
       "157  2024-08             ALFONSO ARANGO TORO                 73   3.357081   \n",
       "165  2024-08                     No asignado                 67   4.288558   \n",
       "160  2024-08  JAIME LEONARDO BARRERA BARAJAS                 58   1.746330   \n",
       "164  2024-08                   MIGUELPACHECO                 14   0.005528   \n",
       "158  2024-08                  EDGARD FONSECA                 11  15.045976   \n",
       "163  2024-08  MAYRA FERNANDA TRUJILLO SUAREZ                  5   2.185891   \n",
       "\n",
       "     num_enc_satisfaccion  promedio_satisfaccion  Promotores  \n",
       "159                     3               5.000000         3.0  \n",
       "161                     1               5.000000         1.0  \n",
       "162                     5               5.000000         5.0  \n",
       "166                     2               5.000000         2.0  \n",
       "157                    30               4.866667        30.0  \n",
       "165                     5               5.000000         5.0  \n",
       "160                     1               5.000000         1.0  \n",
       "164                     0               0.000000         0.0  \n",
       "158                     0               0.000000         0.0  \n",
       "163                     0               0.000000         0.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Miro cuantos tickets de los asignados en Mikrowisp\n",
    "mkwp_summary_month=working_data.groupby(['mes_crd','tecnico']).agg(\n",
    "    tickets_asignados=('id_ticket','nunique'), \n",
    "    temp_res=('tiempo_resol','mean'),\n",
    "    num_enc_satisfaccion=('fecha_enc_sat','count'),\n",
    "    promedio_satisfaccion=('calificacion_personal','mean'),\n",
    "    Promotores=('promoter','sum')).reset_index().fillna(0)\n",
    "\n",
    "empleados_names=[\n",
    "    'ESNEIDER GARCIA BARAJAS','ALFONSO ARANGO TORO','SAIR BOLAÑO DURAN',\n",
    "    'LEONARDO QUEZADA RAMIREZ','JAIME LEONARDO BARRERA BARAJAS',\n",
    "    'MAYRA FERNANDA TRUJILLO SUAREZ','KAROLINA GUERRERO PRINCE',\n",
    "    'EDGARD FONSECA','MIGUELPACHECO','No asignado']\n",
    "\n",
    "mkwp_summary_month=mkwp_summary_month.loc[mkwp_summary_month['tecnico'].isin(empleados_names)]\n",
    "mkwp_summary_month.loc[\n",
    "    mkwp_summary_month['mes_crd']=='2024-08'].sort_values(\n",
    "        'tickets_asignados',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "06d13a40-e705-4b4e-ba0a-5369cc9406af",
   "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>mes_crd</th>\n",
       "      <th>tecnico</th>\n",
       "      <th>Encuestas respondidas</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>ESNEIDER GARCIA BARAJAS</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>ALFONSO ARANGO TORO</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>SAIR BOLAÑO DURAN</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>LEONARDO QUEZADA RAMIREZ</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>JAIME LEONARDO BARRERA BARAJAS</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mes_crd                         tecnico  Encuestas respondidas\n",
       "5   2024-08         ESNEIDER GARCIA BARAJAS                    141\n",
       "13  2024-08             ALFONSO ARANGO TORO                     32\n",
       "21  2024-08               SAIR BOLAÑO DURAN                     14\n",
       "29  2024-08        LEONARDO QUEZADA RAMIREZ                     24\n",
       "37  2024-08  JAIME LEONARDO BARRERA BARAJAS                      0"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enc_tecnicos_mes_long=pd.melt(num_tix_tecnicos,id_vars='mes_crd')\n",
    "\n",
    "enc_tecnicos_mes_long.loc[\n",
    "    :,'variable']=enc_tecnicos_mes_long['variable'].str.lstrip('num_enc_')\n",
    "\n",
    "enc_tecnicos_mes_long.rename(\n",
    "    columns={'variable':'tecnico', 'value':'Encuestas respondidas'}, inplace=True)\n",
    "\n",
    "enc_tecnicos_mes_long.loc[\n",
    "    :,'tecnico'\n",
    "]=np.select([enc_tecnicos_mes_long['tecnico'].str.contains('esneider',case=False),\n",
    "             enc_tecnicos_mes_long['tecnico'].str.contains('alfonso',case=False),\n",
    "             enc_tecnicos_mes_long['tecnico'].str.contains('sair',case=False),\n",
    "             enc_tecnicos_mes_long['tecnico'].str.contains('leonardo',case=False),\n",
    "             enc_tecnicos_mes_long['tecnico'].str.contains('jaime',case=False)],\n",
    "            ['ESNEIDER GARCIA BARAJAS','ALFONSO ARANGO TORO','SAIR BOLAÑO DURAN',\n",
    "             'LEONARDO QUEZADA RAMIREZ','JAIME LEONARDO BARRERA BARAJAS'],\n",
    "            default='')\n",
    "\n",
    "enc_tecnicos_mes_long.loc[\n",
    "    enc_tecnicos_mes_long['mes_crd']=='2024-08']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ad85544a-2c76-40e6-89d0-41f760e1939b",
   "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>mes_crd</th>\n",
       "      <th>tecnico</th>\n",
       "      <th>tickets_asignados</th>\n",
       "      <th>temp_res</th>\n",
       "      <th>num_enc_satisfaccion</th>\n",
       "      <th>promedio_satisfaccion</th>\n",
       "      <th>Promotores</th>\n",
       "      <th>Encuestas respondidas</th>\n",
       "      <th>% encuesta material</th>\n",
       "      <th>% encuesta satisfaccion</th>\n",
       "      <th>Satisfaccion del usuario</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>ESNEIDER GARCIA BARAJAS</td>\n",
       "      <td>171</td>\n",
       "      <td>2.820270</td>\n",
       "      <td>3</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>141</td>\n",
       "      <td>0.824561</td>\n",
       "      <td>0.017544</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>ALFONSO ARANGO TORO</td>\n",
       "      <td>73</td>\n",
       "      <td>3.357081</td>\n",
       "      <td>30</td>\n",
       "      <td>4.866667</td>\n",
       "      <td>30.0</td>\n",
       "      <td>32</td>\n",
       "      <td>0.438356</td>\n",
       "      <td>0.410959</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>SAIR BOLAÑO DURAN</td>\n",
       "      <td>78</td>\n",
       "      <td>3.768872</td>\n",
       "      <td>2</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14</td>\n",
       "      <td>0.179487</td>\n",
       "      <td>0.025641</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>LEONARDO QUEZADA RAMIREZ</td>\n",
       "      <td>78</td>\n",
       "      <td>2.740390</td>\n",
       "      <td>5</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.0</td>\n",
       "      <td>24</td>\n",
       "      <td>0.307692</td>\n",
       "      <td>0.064103</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2024-08</td>\n",
       "      <td>JAIME LEONARDO BARRERA BARAJAS</td>\n",
       "      <td>58</td>\n",
       "      <td>1.746330</td>\n",
       "      <td>1</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mes_crd                         tecnico  tickets_asignados  temp_res  \\\n",
       "5   2024-08         ESNEIDER GARCIA BARAJAS                171  2.820270   \n",
       "13  2024-08             ALFONSO ARANGO TORO                 73  3.357081   \n",
       "21  2024-08               SAIR BOLAÑO DURAN                 78  3.768872   \n",
       "29  2024-08        LEONARDO QUEZADA RAMIREZ                 78  2.740390   \n",
       "37  2024-08  JAIME LEONARDO BARRERA BARAJAS                 58  1.746330   \n",
       "\n",
       "    num_enc_satisfaccion  promedio_satisfaccion  Promotores  \\\n",
       "5                      3               5.000000         3.0   \n",
       "13                    30               4.866667        30.0   \n",
       "21                     2               5.000000         2.0   \n",
       "29                     5               5.000000         5.0   \n",
       "37                     1               5.000000         1.0   \n",
       "\n",
       "    Encuestas respondidas  % encuesta material  % encuesta satisfaccion  \\\n",
       "5                     141             0.824561                 0.017544   \n",
       "13                     32             0.438356                 0.410959   \n",
       "21                     14             0.179487                 0.025641   \n",
       "29                     24             0.307692                 0.064103   \n",
       "37                      0             0.000000                 0.017241   \n",
       "\n",
       "    Satisfaccion del usuario  \n",
       "5                        1.0  \n",
       "13                       1.0  \n",
       "21                       1.0  \n",
       "29                       1.0  \n",
       "37                       1.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Ahora pego datos mikrowisp con encuestas de material\n",
    "summary_tecnico_mes=mkwp_summary_month.merge(\n",
    "    enc_tecnicos_mes_long,\n",
    "    on=['mes_crd','tecnico'],how='right').fillna(0)\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    :,'% encuesta material'\n",
    "]=summary_tecnico_mes[\n",
    "    'Encuestas respondidas']/summary_tecnico_mes[\n",
    "    'tickets_asignados']\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    :,'% encuesta satisfaccion'\n",
    "]=summary_tecnico_mes[\n",
    "    'num_enc_satisfaccion']/summary_tecnico_mes[\n",
    "    'tickets_asignados']\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    :,'Satisfaccion del usuario'\n",
    "]=summary_tecnico_mes[\n",
    "    'Promotores']/summary_tecnico_mes[\n",
    "    'num_enc_satisfaccion']\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes['mes_crd']=='2024-08'\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7e79672-7ff2-4a8e-932c-f1bbc42281c1",
   "metadata": {},
   "source": [
    "Numero de tickets por tecnico en el último mes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8681c57a-54bc-4276-8c14-f66d921bb113",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-2]\n",
    "].plot.bar(\n",
    "    'tecnico','tickets_asignados',\n",
    "    ax=ax, color='lightseagreen', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-2],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='Tickets asignados por ténico '+meses_estudio[-2],\n",
    "        xlabel='')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "47818c68-690d-414f-b87e-fdb46e224a7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Mes actual\n",
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-1]\n",
    "].plot.bar(\n",
    "    'tecnico','tickets_asignados',\n",
    "    ax=ax, color='lightseagreen', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-1],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='Tickets asignados por ténico '+meses_estudio[-1],\n",
    "        xlabel='')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa870980-4967-46e4-86c6-84e3741566a8",
   "metadata": {},
   "source": [
    "Tiempo de resolucion por tecnico en el último mes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6f549f2d-d036-4e99-ad64-310d44986f9a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-2]\n",
    "].plot.bar(\n",
    "    'tecnico','temp_res',\n",
    "    ax=ax, color='red', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-2],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='Tiempo de resolución por ténico '+meses_estudio[-2],\n",
    "        xlabel='', ylabel='Días')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24d05f7a-bf89-445a-aefe-64735dc59804",
   "metadata": {},
   "source": [
    "Mes actual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9cbead45-b52f-4eab-872c-7d9783106679",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-1]\n",
    "].plot.bar(\n",
    "    'tecnico','temp_res',\n",
    "    ax=ax, color='red', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-1],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='Tiempo de resolución por ténico '+meses_estudio[-1],\n",
    "        xlabel='', ylabel='Días')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "658479d9-fb98-4250-84d8-534117a86e40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-2]\n",
    "].plot.bar(\n",
    "    'tecnico','% encuesta material',\n",
    "    ax=ax, color='darkgreen', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-2],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='% encuestas material diligenciadas por ténico '+meses_estudio[-2],\n",
    "        xlabel='', ylabel='')\n",
    "\n",
    "import matplotlib.ticker as mtick\n",
    "bars = ax.containers[0]\n",
    "ax.bar_label(bars, labels = [f'{x.get_height():.0%}' for x in bars])\n",
    "#ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf781bca-f270-4aa0-9b3b-398db099b7f6",
   "metadata": {},
   "source": [
    "Mes actual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "321bac07-0d10-42e1-b533-8dbd719e2cf6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-1]\n",
    "].plot.bar(\n",
    "    'tecnico','% encuesta material',\n",
    "    ax=ax, color='darkgreen', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-1],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='% encuestas material diligenciadas por ténico '+meses_estudio[-1],\n",
    "        xlabel='', ylabel='')\n",
    "\n",
    "import matplotlib.ticker as mtick\n",
    "bars = ax.containers[0]\n",
    "ax.bar_label(bars, labels = [f'{x.get_height():.0%}' for x in bars])\n",
    "#ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9b993318-87c9-4955-bb16-f86d4fb4bf48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-2]\n",
    "].plot.bar(\n",
    "    'tecnico','num_enc_satisfaccion',\n",
    "    ax=ax, color='blue', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-2],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='Num. encuestas satisfacción por ténico '+meses_estudio[-2],\n",
    "        xlabel='', ylabel='')\n",
    "\n",
    "import matplotlib.ticker as mtick\n",
    "bars = ax.containers[0]\n",
    "ax.bar_label(bars, labels = [f'{x.get_height()}' for x in bars])\n",
    "#ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "d83c53d6-6f16-480f-96a0-75eb5cfbc701",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "fig, ax=plt.subplots()\n",
    "\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-2]\n",
    "].plot.bar(\n",
    "    'tecnico','promedio_satisfaccion',\n",
    "    ax=ax, color='blue', \n",
    "    grid=True, legend=False)\n",
    "\n",
    "ax.set_xticklabels([x for x in summary_tecnico_mes.loc[\n",
    "                    summary_tecnico_mes['mes_crd']==meses_estudio[-2],\n",
    "                    'tecnico']], rotation=45,size=7)\n",
    "\n",
    "plt.setp(ax,title='% encuestas material diligenciadas por ténico '+meses_estudio[-2],\n",
    "        xlabel='', ylabel='')\n",
    "\n",
    "import matplotlib.ticker as mtick\n",
    "bars = ax.containers[0]\n",
    "ax.bar_label(bars, labels = [f'{x.get_height():.3}' for x in bars])\n",
    "#ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a5938cb-f63b-4a27-9cb8-2b44f1da3900",
   "metadata": {},
   "source": [
    "Mes anterior"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b942801e-bc47-4802-acc9-e6e4a5859693",
   "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>tecnico</th>\n",
       "      <th>num_enc_satisfaccion</th>\n",
       "      <th>promedio_satisfaccion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ESNEIDER GARCIA BARAJAS</td>\n",
       "      <td>17</td>\n",
       "      <td>4.941176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ALFONSO ARANGO TORO</td>\n",
       "      <td>4</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SAIR BOLAÑO DURAN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>LEONARDO QUEZADA RAMIREZ</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>JAIME LEONARDO BARRERA BARAJAS</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           tecnico  num_enc_satisfaccion  \\\n",
       "6          ESNEIDER GARCIA BARAJAS                    17   \n",
       "14             ALFONSO ARANGO TORO                     4   \n",
       "22               SAIR BOLAÑO DURAN                     0   \n",
       "30        LEONARDO QUEZADA RAMIREZ                     0   \n",
       "38  JAIME LEONARDO BARRERA BARAJAS                     0   \n",
       "\n",
       "    promedio_satisfaccion  \n",
       "6                4.941176  \n",
       "14               5.000000  \n",
       "22               0.000000  \n",
       "30               0.000000  \n",
       "38               0.000000  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Satisfacción promedio por tecnico\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-2],\n",
    "    ['tecnico','num_enc_satisfaccion','promedio_satisfaccion']\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc536eb6-009a-4197-8dcd-98fd6b599a35",
   "metadata": {},
   "source": [
    "Mes actual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "bd0277d2-942c-418d-a3da-ca6d7795937d",
   "metadata": {
    "scrolled": true
   },
   "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>tecnico</th>\n",
       "      <th>num_enc_satisfaccion</th>\n",
       "      <th>promedio_satisfaccion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ESNEIDER GARCIA BARAJAS</td>\n",
       "      <td>26</td>\n",
       "      <td>4.615385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ALFONSO ARANGO TORO</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SAIR BOLAÑO DURAN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>LEONARDO QUEZADA RAMIREZ</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>JAIME LEONARDO BARRERA BARAJAS</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           tecnico  num_enc_satisfaccion  \\\n",
       "7          ESNEIDER GARCIA BARAJAS                    26   \n",
       "15             ALFONSO ARANGO TORO                     0   \n",
       "23               SAIR BOLAÑO DURAN                     0   \n",
       "31        LEONARDO QUEZADA RAMIREZ                     0   \n",
       "39  JAIME LEONARDO BARRERA BARAJAS                     0   \n",
       "\n",
       "    promedio_satisfaccion  \n",
       "7                4.615385  \n",
       "15               0.000000  \n",
       "23               0.000000  \n",
       "31               0.000000  \n",
       "39               0.000000  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Satisfacción promedio por tecnico\n",
    "summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes[\n",
    "    'mes_crd']==meses_estudio[-1],\n",
    "    ['tecnico','num_enc_satisfaccion','promedio_satisfaccion']\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "2736a4a6-b329-4329-a41b-cd20f3c58c9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "meses_estudio=list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "tecnicos_instaladores=list(summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes['mes_crd']==meses_estudio[0],\n",
    "    'tecnico'\n",
    "].unique())[:-1]\n",
    "\n",
    "###ESCALAS DE DESEMPEÑO\n",
    "\n",
    "resumen_tecnicos_inst={}\n",
    "for m in meses_estudio:\n",
    "    \n",
    "    filepath=os.path.join(\n",
    "    resultados,\n",
    "    'Indicadores_tecnicos_instaladores_'+m+'.xlsx')\n",
    "    \n",
    "    writer = pd.ExcelWriter(filepath, \n",
    "                        engine = 'xlsxwriter') \n",
    "    \n",
    "    resumen_tecnicos_inst[m]={}\n",
    "    \n",
    "    for t in tecnicos_instaladores:\n",
    "        resumen_tecnicos_inst[m][t]=pd.DataFrame()\n",
    "        resumen_tecnicos_inst[m][t].loc[\n",
    "            :,t]=summary_tecnico_mes.loc[\n",
    "            (summary_tecnico_mes['mes_crd']==m) & \n",
    "            (summary_tecnico_mes['tecnico']==t)].iloc[0].loc[[\n",
    "                'mes_crd','tickets_asignados',\n",
    "                'Encuestas respondidas','% encuesta material',\n",
    "                'num_enc_satisfaccion','% encuesta satisfaccion',\n",
    "                'Satisfaccion del usuario','promedio_satisfaccion','temp_res']]\n",
    "\n",
    "\n",
    "        ###OJO META DE LOS TÉCNICOS MENSUAL\n",
    "        resumen_tecnicos_inst[m][t].loc[\n",
    "                :,'Meta']=[m,None,None,\n",
    "                           \n",
    "                           #PORCENTAJE ENCUESTAS MATERIAL RESPONDIDAS\n",
    "                           .8,None,None,\n",
    "                           #PROMOTORES\n",
    "                           .8,None,\n",
    "                           #TIEMPO RESOLUCIÓN\n",
    "                           pd.to_timedelta(3.5, unit='d')]\n",
    "\n",
    "\n",
    "        ##PORCENTAJE DE CUMPLIMIENTO\n",
    "        resumen_tecnicos_inst[m][t].loc[:,\n",
    "        '% Cumplimiento']=resumen_tecnicos_inst[m][t].loc[\n",
    "        (resumen_tecnicos_inst[m][t].index=='% encuesta material') |\n",
    "        (resumen_tecnicos_inst[m][t].index=='Satisfaccion del usuario')][t]/resumen_tecnicos_inst[m][t].loc[\n",
    "        (resumen_tecnicos_inst[m][t].index=='% encuesta material') |\n",
    "        (resumen_tecnicos_inst[m][t].index=='Satisfaccion del usuario')]['Meta']\n",
    "\n",
    "        resumen_tecnicos_inst[m][t].loc[\n",
    "                resumen_tecnicos_inst[m][t].index=='temp_res',\n",
    "        '% Cumplimiento']=(1-(resumen_tecnicos_inst[m][t].loc[\n",
    "                resumen_tecnicos_inst[m][t].index=='temp_res'][t]-\n",
    "                              pd.to_timedelta(resumen_tecnicos_inst[m][t].loc[\n",
    "                resumen_tecnicos_inst[m][t].index=='temp_res']['Meta']).dt.total_seconds(\n",
    "                                  \n",
    "                )/(60*60*24))/pd.to_timedelta(resumen_tecnicos_inst[m][t].loc[\n",
    "                resumen_tecnicos_inst[m][t].index=='temp_res']['Meta']).dt.total_seconds(\n",
    "                                  \n",
    "                )/(60*60*24))\n",
    "        \n",
    "        ###CALIFICACION DEL DESEMPEÑO\n",
    "        resumen_tecnicos_inst[m][t].loc[:,\n",
    "        'Desempeño']=np.select([resumen_tecnicos_inst[m][t]['% Cumplimiento']>=1,\n",
    "                                (resumen_tecnicos_inst[m][t]['% Cumplimiento']>=.8) &\n",
    "                                (resumen_tecnicos_inst[m][t]['% Cumplimiento']<1), \n",
    "                                (resumen_tecnicos_inst[m][t]['% Cumplimiento']>=.5) &\n",
    "                                (resumen_tecnicos_inst[m][t]['% Cumplimiento']<.8), \n",
    "                                (resumen_tecnicos_inst[m][t]['% Cumplimiento']>=0) &\n",
    "                                (resumen_tecnicos_inst[m][t]['% Cumplimiento']<.5)],\n",
    "                               ['Excelente','Destacado','Oportunidad','Crítico'], default='')\n",
    "        \n",
    "        resumen_tecnicos_inst[m][t].loc[\n",
    "        'Promedio','% Cumplimiento']=resumen_tecnicos_inst[m][t][\n",
    "        '% Cumplimiento'].mean()\n",
    "\n",
    "        resumen_tecnicos_inst[m][t].loc[\n",
    "        'Promedio','Desempeño']=np.select(\n",
    "            [resumen_tecnicos_inst[m][t].loc['Promedio', '% Cumplimiento'] >= 1,\n",
    "             (resumen_tecnicos_inst[m][t].loc['Promedio', '% Cumplimiento'] >= 0.8) &\n",
    "             (resumen_tecnicos_inst[m][t].loc['Promedio', '% Cumplimiento'] < 1), \n",
    "             (resumen_tecnicos_inst[m][t].loc['Promedio', '% Cumplimiento'] >= 0.5) &\n",
    "             (resumen_tecnicos_inst[m][t].loc['Promedio', '% Cumplimiento'] < 0.8), \n",
    "             (resumen_tecnicos_inst[m][t].loc['Promedio', '% Cumplimiento'] >= 0) &\n",
    "             (resumen_tecnicos_inst[m][t].loc['Promedio', '% Cumplimiento'] < 0.5)],\n",
    "            ['Excelente', 'Destacado', 'Oportunidad', 'Crítico'], default=''\n",
    "        )\n",
    "        \n",
    "        #resumen_tecnicos_inst[t].fillna(0, inplace=True)\n",
    "\n",
    "        resumen_tecnicos_inst[m][t].index=['Mes','Tickets asignados','Encuestas material', '% encuesta material respondidas',\n",
    "                                                       'Num. encuestas satisfaccion','% Enc. sat. respondidas', 'Satisfaccion del usuario',\n",
    "                                                       'Promedio satisfacción','Tiempo resolución','Promedio']\n",
    "        \n",
    "        resumen_tecnicos_inst[m][t].to_excel(\n",
    "                writer, sheet_name=t)\n",
    "\n",
    "    writer.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "992bcb04-5660-4833-94da-8d9296fc3a75",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Defino meses de estudio\n",
    "meses_estudio = list(summary_tecnico_mes['mes_crd'].unique())[6:]\n",
    "\n",
    "#Defino tecnicos instaladores\n",
    "tecnicos_instaladores = list(summary_tecnico_mes.loc[\n",
    "    summary_tecnico_mes['mes_crd'] == meses_estudio[0],\n",
    "    'tecnico'\n",
    "].unique())[:-1]\n",
    "\n",
    "# Definir una función para evaluar el desempeño basado en % Cumplimiento\n",
    "def evaluar_desempeno(cumplimiento):\n",
    "    return np.select(\n",
    "        [cumplimiento >= 1,\n",
    "         (cumplimiento >= 0.8) & (cumplimiento < 1),\n",
    "         (cumplimiento >= 0.5) & (cumplimiento < 0.8),\n",
    "         (cumplimiento >= 0) & (cumplimiento < 0.5)],\n",
    "        ['Excelente', 'Destacado', 'Oportunidad', 'Crítico'],\n",
    "        default=''\n",
    "    )\n",
    "\n",
    "#Almaceno todo en un dict\n",
    "resumen_tecnicos_inst = {}\n",
    "for m in meses_estudio:\n",
    "    \n",
    "    filepath = os.path.join(\n",
    "        resultados,\n",
    "        'Indicadores_tecnicos_instaladores_' + m + '.xlsx'\n",
    "    )\n",
    "    \n",
    "    writer = pd.ExcelWriter(filepath, engine='xlsxwriter') \n",
    "    \n",
    "    resumen_tecnicos_inst[m] = {}\n",
    "    \n",
    "    for t in tecnicos_instaladores:\n",
    "        resumen_tecnicos_inst[m][t] = pd.DataFrame()\n",
    "        \n",
    "        # Crear la columna con los datos del técnico en la hoja correspondiente\n",
    "        resumen_tecnicos_inst[m][t][t] = summary_tecnico_mes.loc[\n",
    "            (summary_tecnico_mes['mes_crd'] == m) & \n",
    "            (summary_tecnico_mes['tecnico'] == t)].iloc[0].loc[[\n",
    "                'mes_crd', 'tickets_asignados',\n",
    "                'Encuestas respondidas', '% encuesta material',\n",
    "                'num_enc_satisfaccion', '% encuesta satisfaccion',\n",
    "                'Satisfaccion del usuario', 'promedio_satisfaccion', 'temp_res'\n",
    "            ]]\n",
    "\n",
    "        # OJO META DE LOS TÉCNICOS MENSUAL\n",
    "        resumen_tecnicos_inst[m][t]['Meta'] = [m, None, None,\n",
    "                          # PORCENTAJE ENCUESTAS MATERIAL RESPONDIDAS\n",
    "                          0.8, None, None,\n",
    "                          # PROMOTORES\n",
    "                          0.8, None,\n",
    "                          # TIEMPO RESOLUCIÓN\n",
    "                          3.5]\n",
    "\n",
    "        # PORCENTAJE DE CUMPLIMIENTO\n",
    "        resumen_tecnicos_inst[m][t]['% Cumplimiento'] = resumen_tecnicos_inst[m][t].loc[\n",
    "            (resumen_tecnicos_inst[m][t].index == '% encuesta material') |\n",
    "            (resumen_tecnicos_inst[m][t].index == 'Satisfaccion del usuario')][t] / resumen_tecnicos_inst[m][t].loc[\n",
    "            (resumen_tecnicos_inst[m][t].index == '% encuesta material') |\n",
    "            (resumen_tecnicos_inst[m][t].index == 'Satisfaccion del usuario')]['Meta']\n",
    "\n",
    "        # Convertir timedelta a días para calcular el % Cumplimiento de temp_res\n",
    "        real_resolucion = resumen_tecnicos_inst[m][t].loc[\n",
    "        resumen_tecnicos_inst[m][t].index == 'temp_res', t]\n",
    "\n",
    "        meta_resolucion = resumen_tecnicos_inst[m][t].loc[\n",
    "        resumen_tecnicos_inst[m][t].index == 'temp_res', 'Meta']\n",
    "\n",
    "        # Calcular el % Cumplimiento basado en los días\n",
    "        resumen_tecnicos_inst[m][t].loc[\n",
    "        resumen_tecnicos_inst[m][t].index == 'temp_res', '% Cumplimiento'] = 1 - (real_resolucion - \n",
    "                                                                                  meta_resolucion) / meta_resolucion\n",
    "\n",
    "        # Definir los pesos (ejemplo: puedes ajustar según el criterio)\n",
    "        pesos = {\n",
    "                    '% encuesta material': 0.15,\n",
    "                    'Satisfaccion del usuario': 0.25,\n",
    "                    'temp_res': 0.6\n",
    "                    }\n",
    "\n",
    "        # Asegúrate de que cada técnico tenga una columna de peso\n",
    "        resumen_tecnicos_inst[m][t]['Peso'] = resumen_tecnicos_inst[m][t].index.map(pesos).fillna(0)\n",
    "\n",
    "        # Calcular el promedio ponderado del % de cumplimiento\n",
    "        resumen_tecnicos_inst[m][t].loc['Promedio ponderado', '% Cumplimiento'] = (\n",
    "            resumen_tecnicos_inst[m][t]['% Cumplimiento'] * resumen_tecnicos_inst[m][t]['Peso']\n",
    "            ).sum() / resumen_tecnicos_inst[m][t]['Peso'].sum()\n",
    "\n",
    "        # Calificación del desempeño para cada técnico\n",
    "        resumen_tecnicos_inst[m][t]['Desempeño'] = evaluar_desempeno(\n",
    "            resumen_tecnicos_inst[m][t]['% Cumplimiento']\n",
    "        )\n",
    "        \n",
    "        # Calificación del desempeño para el promedio ponderado\n",
    "        resumen_tecnicos_inst[m][t].loc['Promedio ponderado', 'Desempeño'] = evaluar_desempeno(\n",
    "            resumen_tecnicos_inst[m][t].loc['Promedio ponderado', '% Cumplimiento']\n",
    "        )\n",
    "\n",
    "        # Ajustar los índices\n",
    "        resumen_tecnicos_inst[m][t].index = ['Mes', 'Tickets asignados', 'Encuestas material', \n",
    "                                             '% encuesta material respondidas', 'Num. encuestas satisfaccion', \n",
    "                                             '% Enc. sat. respondidas', 'Satisfaccion del usuario',\n",
    "                                             'Promedio satisfacción', 'Tiempo resolución', 'Promedio ponderado']\n",
    "\n",
    "        # Guardar en la hoja de Excel\n",
    "        resumen_tecnicos_inst[m][t].iloc[:,np.r_[:3,4]].to_excel(writer, sheet_name=t)\n",
    "\n",
    "    # Cerrar el archivo Excel\n",
    "    writer.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "5992eb8c-6a84-4f27-9538-f6202399f82d",
   "metadata": {
    "scrolled": true
   },
   "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>SAIR BOLAÑO DURAN</th>\n",
       "      <th>Meta</th>\n",
       "      <th>% Cumplimiento</th>\n",
       "      <th>Desempeño</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mes</th>\n",
       "      <td>2024-09</td>\n",
       "      <td>2024-09</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tickets asignados</th>\n",
       "      <td>196</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Encuestas material</th>\n",
       "      <td>147</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>% encuesta material respondidas</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.9375</td>\n",
       "      <td>Destacado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Num. encuestas satisfaccion</th>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>% Enc. sat. respondidas</th>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Satisfaccion del usuario</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Promedio satisfacción</th>\n",
       "      <td>0.0</td>\n",
       "      <td>None</td>\n",
       "      <td>NaN</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tiempo resolución</th>\n",
       "      <td>2.903858</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.170326</td>\n",
       "      <td>Excelente</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Promedio ponderado</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.842821</td>\n",
       "      <td>Destacado</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                SAIR BOLAÑO DURAN     Meta % Cumplimiento  \\\n",
       "Mes                                       2024-09  2024-09            NaN   \n",
       "Tickets asignados                             196     None            NaN   \n",
       "Encuestas material                            147     None            NaN   \n",
       "% encuesta material respondidas              0.75      0.8         0.9375   \n",
       "Num. encuestas satisfaccion                     0     None            NaN   \n",
       "% Enc. sat. respondidas                       0.0     None            NaN   \n",
       "Satisfaccion del usuario                      NaN      0.8            NaN   \n",
       "Promedio satisfacción                         0.0     None            NaN   \n",
       "Tiempo resolución                        2.903858      3.5       1.170326   \n",
       "Promedio ponderado                            NaN      NaN       0.842821   \n",
       "\n",
       "                                 Desempeño  \n",
       "Mes                                         \n",
       "Tickets asignados                           \n",
       "Encuestas material                          \n",
       "% encuesta material respondidas  Destacado  \n",
       "Num. encuestas satisfaccion                 \n",
       "% Enc. sat. respondidas                     \n",
       "Satisfaccion del usuario                    \n",
       "Promedio satisfacción                       \n",
       "Tiempo resolución                Excelente  \n",
       "Promedio ponderado               Destacado  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resumen_tecnicos_inst['2024-09']['SAIR BOLAÑO DURAN'].iloc[:,np.r_[:3,4]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4469cb3a-241a-4a02-b497-b6291ba61cff",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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