A_1 RFM)  [Tradicional 1010078]  R.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "580b8db5",
   "metadata": {},
   "source": [
    "Notas:\n",
    "--------\n",
    "\n",
    "   - [ ] __Construir la variable Recency.__\n",
    "        - [ ] Sección para caso pequeño\n",
    "        - [ ] Función para estadnarizar\n",
    "        - [ ] Probar esta función\n",
    "        - [ ] Implementar\n",
    "   - [ ] __Contruir Frecuency__\n",
    "        - [ ] Sección para caso pequeño\n",
    "        - [ ] Función para estadnarizar\n",
    "        - [ ] Probar esta función\n",
    "        - [ ] Implementar\n",
    "   - [ ] __Construir Monetary__\n",
    "        - [ ] Sección para caso pequeño\n",
    "        - [ ] Función para estadnarizar\n",
    "        - [ ] Probar esta función\n",
    "        - [ ] Implementar   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "57c1f8e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#!jt -l\n",
    "# !jt -t oceans16 -T\n",
    "# !jt -r"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48cc505f",
   "metadata": {},
   "source": [
    "# Inicio\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c2a8234",
   "metadata": {},
   "source": [
    "\n",
    "__Rename__\n",
    "Recordar que la columna llamada\n",
    "\n",
    "- `Precio promedio` ahora es `Precio`\n",
    "- `Centro.1` ahora es `Centro`\n",
    "- `Centro` ahora es `Centro_Cod`\n",
    "\n",
    "Presenta los parametros del modelo:\n",
    "\n",
    "- Dirección datos\n",
    "- Dirección Graficos\n",
    "- _Material a analizar_\n",
    "- _Canal a analizar_\n",
    "- _Zona de los Datos_\n",
    "- _Año de inicio de analizis_\n",
    "\n",
    "Base de datos\n",
    "\n",
    "\n",
    "`Tipo_de_Cliente`\n",
    "`Y_producto`\n",
    "`Año_inicio`\n",
    "\n",
    "`file_direct_Graphic` "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bad43fc",
   "metadata": {},
   "source": [
    "## Parametros "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a0737e98",
   "metadata": {},
   "outputs": [],
   "source": [
    "#===================================\n",
    "# Archivo\n",
    "#===================================\n",
    "Zona_df='Z001'\n",
    "\n",
    "#===================================\n",
    "# Clientes\n",
    "#===================================\n",
    "Tipo_de_Cliente='Tradicional'\n",
    "\n",
    "#===================================\n",
    "# Producto de interes\n",
    "#===================================\n",
    "Y_producto='1010078'\n",
    "\n",
    "\n",
    "#===================================\n",
    "# Año de Partida\n",
    "#===================================\n",
    "Año_inicio='2018'\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# Ordenador de escritorio\n",
    "\n",
    "file_direct_O=\"C:/Users/user/Documents/Data/Data Clear/\"+Zona_df+\"/\"\n",
    "file_direct_Clear=\"C:/Users/user/Documents/Data/Data Clear/\"\n",
    "file_direct_Graphic='C:/Users/user/Documents/Graficos'\n",
    "Png_file_direct_Graphic=\"C:\\\\Users\\\\user\\\\Documents\\\\Graficos\"\n",
    "\"\"\"\n",
    "\n",
    "#Notebook\n",
    "file_direct_O=\"C:/Users/rolft/Documents/Repositorios/Data/Data Clear/\"+Zona_df+\"/\"\n",
    "file_direct_Clear=\"C:/Users/rolft/Documents/Repositorios/Data/Data Clear/\"\n",
    "file_direct_Graphic='C:/Users/rolft/Documents/Repositorios/Graficos'\n",
    "Png_file_direct_Graphic='C:\\\\Users\\\\rolft\\\\Documents\\\\Repositorios\\\\Graficos'\n",
    "\"\"\"\n",
    "#Graficos\n",
    "file_direct_Graphic_Canal=file_direct_Graphic+\"/\"+Tipo_de_Cliente\n",
    "file_direct_Graphic_Canal_Material=file_direct_Graphic_Canal+'/'+Y_producto\n",
    "\n",
    "Png_file_direct_Graphic_Canal=Png_file_direct_Graphic+'\\\\'+'Canal '+Tipo_de_Cliente\n",
    "Png_file_direct_Graphic_Canal_Material=Png_file_direct_Graphic_Canal+'\\\\'+Y_producto\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f80e374d",
   "metadata": {},
   "source": [
    "## Intalar paquetes, Abrir data y ajustarla "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a7c4706",
   "metadata": {},
   "source": [
    "### import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "faaa036d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#from adjustText import adjust_text\n",
    "# from adjustText import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0ea91ad7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#=====================================================\n",
    "                # BASE \n",
    "#-----------------------------------------------------\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#from geopandas import *\n",
    "\n",
    "from plotnine import *\n",
    "\n",
    "#para ajustar las fechas\n",
    "import datetime\n",
    "\n",
    "#para calcular el skew de un array() o list()\n",
    "from scipy.stats import skew "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8916d4cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#=====================================================\n",
    "                # sklearn \n",
    "#-----------------------------------------------------\n",
    "\n",
    "#Separador de datos en train/test\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "#Prediccion Ridge Regression\n",
    "from sklearn.linear_model import Ridge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8d82be85",
   "metadata": {},
   "outputs": [],
   "source": [
    "#=====================================================\n",
    "                # statsmodels \n",
    "#-----------------------------------------------------\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "from statsmodels.tools.sm_exceptions import ConvergenceWarning\n",
    "\n",
    "\n",
    "#from statsmodels.regression.mixed_linear_model import MixedLMResults\n",
    "# No se para qué sirve este"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "734ff701",
   "metadata": {},
   "outputs": [],
   "source": [
    "#====================================================\n",
    "#librerias para crear division de series temporales\n",
    "#====================================================\n",
    "\n",
    "from mizani.breaks import date_breaks\n",
    "from mizani.formatters import date_format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "34160d20",
   "metadata": {},
   "outputs": [],
   "source": [
    "# stopwatch\n",
    "import time\n",
    "def time_convert(sec):\n",
    "  mins = sec // 60\n",
    "  sec = sec % 60\n",
    "  hours = mins // 60\n",
    "  mins = mins % 60\n",
    "  print(\"Time Lapsed = {0}:{1}:{2}\".format(int(hours),int(mins),sec),'\\n H:m:s')\n",
    "#==================================\n",
    "#          Example\n",
    "#    input(\"Press Enter to start\")\n",
    "start_time = time.time()\n",
    "#    input(\"Press Enter to stop\")\n",
    "#    end_time = time.time()\n",
    "#    time_lapsed = end_time - start_time\n",
    "#    time_convert(time_lapsed)\n",
    "#================================="
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e0194b5",
   "metadata": {},
   "source": [
    "### Funciones \n",
    "```python\n",
    "#Mes_name\n",
    "data_i.Mes.apply(Mes_name)\n",
    "```\n",
    ">Transforma la columna mes numerica en el nombre del mes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76bc8afd",
   "metadata": {},
   "source": [
    "__Forma de crear una etiqueta para un valor especifico__\n",
    "```python\n",
    "#[Y_Graph]\n",
    "dfz=df.copy()\n",
    "dfz['Año select']=dfz.apply( lambda x: x['Año'] if x['Año']==2020 else '',axis=1)\n",
    "dfz\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "ad8627c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#===================================\n",
    "# Dicionario MES\n",
    "#===================================\n",
    "\n",
    "#===================================\n",
    "# Fecha\n",
    "D=['Enero','Febrero','Marzo','Abril',\n",
    " 'Mayo','Junio','Julio','Agosto',\n",
    " 'Septiembre','Octubre',\n",
    " 'Noviembre','Diciembre']\n",
    "Month_dic={i:D[i-1]  for i in range(1,13)}\n",
    "#===========================================\n",
    "\n",
    "\n",
    "def Mes_name(x):\n",
    "    D=['Enero','Febrero','Marzo','Abril',\n",
    "    'Mayo','Junio','Julio','Agosto',\n",
    "    'Septiembre','Octubre',\n",
    "    'Noviembre','Diciembre']\n",
    "    return(D[int(x)-1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8b67d6b",
   "metadata": {},
   "source": [
    "## Datos  \n",
    "Se cargan los datos de\n",
    "Ventas y la defincion de los productos\n",
    "Ventas está en `data_v` y despues pasa a ser `data`\n",
    "\n",
    "Productos estan cargados en `DF_products`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b6b6d72",
   "metadata": {},
   "source": [
    "###  DF_FULL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53e5214b",
   "metadata": {},
   "source": [
    "##### Abrir Archivo  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d3f89b2c",
   "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>Zona de ventas</th>\n",
       "      <th>Zona de ventas.1</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Cliente.1</th>\n",
       "      <th>Cliente - Local</th>\n",
       "      <th>Cliente - Local.1</th>\n",
       "      <th>Material</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Venta Neta</th>\n",
       "      <th>...</th>\n",
       "      <th>Tipo de material.1</th>\n",
       "      <th>Marca</th>\n",
       "      <th>Nivel 2</th>\n",
       "      <th>Granel/Envasado</th>\n",
       "      <th>Marinado</th>\n",
       "      <th>Nivel 3</th>\n",
       "      <th>Grupo artículos</th>\n",
       "      <th>Estado</th>\n",
       "      <th>Estandar</th>\n",
       "      <th>Envase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Z001</td>\n",
       "      <td>Santiago</td>\n",
       "      <td>10003742</td>\n",
       "      <td>Ferrer Leiva Sonia</td>\n",
       "      <td>Ferrer Leiva Sonia</td>\n",
       "      <td>38458</td>\n",
       "      <td>1010077</td>\n",
       "      <td>2018-02-09</td>\n",
       "      <td>12.0</td>\n",
       "      <td>13685.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Prod. Term.  Ave</td>\n",
       "      <td>SUPER POLLO (SP)</td>\n",
       "      <td>Trutro</td>\n",
       "      <td>GRANEL</td>\n",
       "      <td>MARINADO</td>\n",
       "      <td>Trutro Entero</td>\n",
       "      <td>01050</td>\n",
       "      <td>REFRIGERADO</td>\n",
       "      <td>PESO VARIABLE</td>\n",
       "      <td>NO CONGELADO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Zona de ventas Zona de ventas.1   Cliente           Cliente.1  \\\n",
       "0           Z001         Santiago  10003742  Ferrer Leiva Sonia   \n",
       "\n",
       "      Cliente - Local Cliente - Local.1 Material Día natural Kilos Venta KG  \\\n",
       "0  Ferrer Leiva Sonia             38458  1010077  2018-02-09           12.0   \n",
       "\n",
       "  Venta Neta  ... Tipo de material.1             Marca Nivel 2  \\\n",
       "0    13685.0  ...   Prod. Term.  Ave  SUPER POLLO (SP)  Trutro   \n",
       "\n",
       "  Granel/Envasado  Marinado        Nivel 3 Grupo artículos       Estado  \\\n",
       "0          GRANEL  MARINADO  Trutro Entero           01050  REFRIGERADO   \n",
       "\n",
       "        Estandar        Envase  \n",
       "0  PESO VARIABLE  NO CONGELADO  \n",
       "\n",
       "[1 rows x 40 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#======================================================================\n",
    "# Se Cargan los datos de ventas con las caracteristicas de los clientes\n",
    "#=====================================================================\n",
    "\n",
    "file_direct=file_direct_O+'Ventas_Full'+'.csv'\n",
    "col_names=pd.read_csv(file_direct,\n",
    "                      encoding=\"utf-8\",sep=\";\",nrows=0).columns\n",
    "\n",
    "types_dict = {col: str for col in list(col_names)}\n",
    "\n",
    "DF_FULL = pd.read_csv(file_direct,\n",
    "                   encoding=\"utf-8\",sep=\";\",dtype=types_dict)\n",
    "#elimina una columna en especifico\n",
    "#DF_FULL.drop('Año natural', inplace=True, axis=1)\n",
    "DF_FULL.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50978acc",
   "metadata": {},
   "source": [
    "#### Funcion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d97d256e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# =============================================================================\n",
    "# Ajustar la data\n",
    "# =============================================================================\n",
    "def Ajuste_data(data):\n",
    "    start_time = time.time()\n",
    "\n",
    "    df=data.copy()\n",
    "\n",
    "# =================================\n",
    "# ELiminare dodos los valores Nan\n",
    "# =================================\n",
    "    #for i in df.columns.to_list():\n",
    "    #    df=df[df[i].notna()]\n",
    "\n",
    "#=================================\n",
    "# Proceso iterativo Pasar a numero\n",
    "#=================================\n",
    "\n",
    "    for i in ['Kilos Venta KG','Venta Neta','Precio Promedio']:\n",
    "        df[i]=df[i].astype('float64').astype('int64')\n",
    "        \n",
    "#=================================\n",
    "# Agregar nombre al codigo del producto\n",
    "#=================================\n",
    "    def material_name(x):\n",
    "        s1=str(x['Material'])\n",
    "        s2=str(x['Nivel 4.1'])\n",
    "        return(s1+'('+s2+')')\n",
    "    df['Material (Nombre)']=df.apply(lambda x:  material_name(x), axis=1)\n",
    "    \n",
    "\n",
    "\n",
    "#==========================================================================================\n",
    "# Ajuste de las fechas\n",
    "#-----------------------------------------------------------------------------------------\n",
    "    df[\"Día natural\"] = df[\"Día natural\"].apply(lambda x: \n",
    "                                                datetime.datetime.strptime(str(x),\n",
    "                                                                           '%Y-%m-%d').date())\n",
    "    \n",
    "    #Separacion fecha\n",
    "    \n",
    "    #df['Semana']=df[\"Día natural\"].apply(lambda x: x.isocalendar()[1] )\n",
    "    #df['Mes']=df[\"Día natural\"].apply(lambda x: x.month)\n",
    "    #df['Año']=df[\"Día natural\"].apply(lambda x: x.year)\n",
    "    #df['Semana']=df['Semana'].astype('int64')\n",
    "    df['Año']=df['Año'].astype('int64')\n",
    "    D_W=['Lunes','Martes','Miércoles','Jueves', 'Viernes','Sábado','Domingo']\n",
    "    df['Día Semana']=df[\"Día natural\"].apply(lambda x: D_W[x.isocalendar()[2] -1])\n",
    "    df=df[df['Día Semana']!='Domingo']\n",
    "    \n",
    "    DF_FULL.dtypes\n",
    "    end_time = time.time()\n",
    "    time_convert(end_time - start_time)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee2bcc68",
   "metadata": {},
   "source": [
    "### Datos año de inicio\n",
    "#### Rename"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d6ca58ea",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time Lapsed = 0:0:20.72281551361084 \n",
      " H:m:s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Zona de ventas          object\n",
       "Zona de ventas.1        object\n",
       "Cliente                 object\n",
       "Cliente.1               object\n",
       "Cliente - Local         object\n",
       "Cliente - Local.1       object\n",
       "Material                object\n",
       "Día natural             object\n",
       "Kilos Venta KG           int64\n",
       "Venta Neta               int64\n",
       "Precio                   int64\n",
       "Frecuencia Historica    object\n",
       "Centro                  object\n",
       "Centro.1                object\n",
       "Población               object\n",
       "Tipo de cliente         object\n",
       "Cluster                 object\n",
       "Segmento                object\n",
       "Segmento.1              object\n",
       "Categoría Cliente       object\n",
       "Zona de reparto         object\n",
       "Año Creación            object\n",
       "Material Favorito       object\n",
       "Semana                  object\n",
       "Mes                     object\n",
       "Año                      int64\n",
       "Nivel 4                 object\n",
       "Nivel 4.1               object\n",
       "Sector                  object\n",
       "Tipo de material        object\n",
       "Tipo de material.1      object\n",
       "Marca                   object\n",
       "Nivel 2                 object\n",
       "Granel/Envasado         object\n",
       "Marinado                object\n",
       "Nivel 3                 object\n",
       "Grupo artículos         object\n",
       "Estado                  object\n",
       "Estandar                object\n",
       "Envase                  object\n",
       "Material (Nombre)       object\n",
       "Día Semana              object\n",
       "Centro_cod              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#=====================================\n",
    "# Aplicacion del ajuste de los datos\n",
    "#=====================================\n",
    "\n",
    "data=Ajuste_data(DF_FULL).rename(\n",
    "    columns={'Precio Promedio':'Precio'\n",
    "            #,'Centro.1':'Centro'\n",
    "            })\n",
    "data['Centro_cod']=data['Centro']\n",
    "data['Centro']=data['Centro.1']\n",
    "\n",
    "data[data.Año>=int(Año_inicio)]\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "20e9b364",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-256"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#=============================\n",
    "# Se eliminaron los regristros donde existen dias domingos\n",
    "#(No hay despacho los dias domingos)\n",
    "#============================\n",
    "\n",
    "data.shape[0] - DF_FULL.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79f8b061",
   "metadata": {},
   "source": [
    "# Selección data(Canal/material)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2740d399",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time Lapsed = 0:0:27.25297260284424 \n",
      " H:m:s\n"
     ]
    }
   ],
   "source": [
    "end_time = time.time()\n",
    "time_lapsed = end_time - start_time\n",
    "time_convert(time_lapsed)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa0ec774",
   "metadata": {},
   "source": [
    "data frame `data_i`\n",
    "\n",
    "\n",
    "> - Producto `i_producto = Y_producto`\n",
    "> -Para el Canal `Tipo_de_Cliente`\n",
    "> -Variable a predecir/Grafico `Y_Variable`\n",
    "\n",
    "Columnas de interes para predecir `X_col`\n",
    "\n",
    "Diccionario del grupo de columnas `Dic_col`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56076fc8",
   "metadata": {},
   "source": [
    "## data "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2af7bd9f",
   "metadata": {},
   "source": [
    "##### Definición del producto "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "65ae6463",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1010078 Tradicional\n"
     ]
    }
   ],
   "source": [
    "#==============================\n",
    "# Se define el producto\n",
    "#==============================\n",
    "i_producto=Y_producto\n",
    "print(i_producto\n",
    "     ,Tipo_de_Cliente)\n",
    "\n",
    "data_i=data[\n",
    "    (data['Tipo de cliente']==Tipo_de_Cliente)\n",
    "    &(data.Material==i_producto)\n",
    "].copy()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3614f1ae",
   "metadata": {},
   "source": [
    "### Columnas a usar \n",
    "rename aplicado a `Precio promedio`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38444021",
   "metadata": {},
   "source": [
    "###### Columnas a usar "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "be9ad327",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#=======================================================================================================\n",
    "                                                # Columnas a usar\n",
    "#========================================================================================================\n",
    "\n",
    "data_i=data_i[[\n",
    "                    #======================================   \n",
    "                                    # Base de la venta\n",
    "                    #--------------------------------------\n",
    "\n",
    "'Material (Nombre)',\n",
    "    #ID Nombre\n",
    "    \n",
    "#========================\n",
    "#Cantidad/Ingreso/Precio\n",
    "#------------------------\n",
    "'Kilos Venta KG',\n",
    "#'Venta Neta', No es necesario o de interes para la prediccion\n",
    "'Precio',\n",
    "\n",
    "#========================\n",
    "#fecha\n",
    "#------------------------\n",
    "'Día natural', #Se descarta por series de tiempo\n",
    "    # Ver si funciona\n",
    "\n",
    "'Día Semana',\n",
    "    #lun, Mart, Mier, Juev\n",
    "'Semana',\n",
    "    #1, 2 , 3 ,..., 52, 53\n",
    "'Mes',\n",
    "    #1,2,3,...,12\n",
    "'Año',\n",
    "    #2018,2019,...,2021\n",
    "    \n",
    "    \n",
    "\n",
    "#______________________________________________________________________\n",
    "                        \n",
    "                                    # CLIENTE\n",
    "    \n",
    "#=====================================\n",
    "#Ubicacion del cliente\n",
    "#-------------------------------------\n",
    "'Población', #'Zona de reparto',\n",
    "#Comuna del Cliente ; Codigo de la zona de reparto\n",
    "#[No son excluyentes, la Zona de reparto\n",
    "#Es más especifica y agrupa a clientes]\n",
    "\n",
    "\n",
    "                #Region\n",
    "                #'Zona de ventas',\n",
    "                #'Zona de ventas.1',\n",
    "                    #(Z001: Santiago)\n",
    "\n",
    "#Es atendido por la Centro:\n",
    "'Centro', #'Centro', Centro de distribución de los productos\n",
    "    #ID Centro, Nombre Centro(oficina o centro)\n",
    "    \n",
    "#=========================================    \n",
    "#Identificacion del cliente\n",
    "#---------------------------------------\n",
    "'Cliente', #'Cliente.1',\n",
    "     #ID del cliente , #nombre del cliente\n",
    " #'Cliente - Local', 'Cliente - Local.1'\n",
    "     # Tambien funciona como ID\n",
    "         #ID, Nombre\n",
    "\n",
    "    #Agrupacion del cliente\n",
    "    #'Tipo de cliente', #SON TODOS IGUALES\n",
    "    'Cluster', \n",
    "         #Canal del cliente ; Tipo de cliente\n",
    "             #Tradicional   ; Clasico\n",
    "\n",
    "    #Nivel de cobertura\n",
    "    #'Segmento', \n",
    "     'Segmento.1',\n",
    "     #codigo ; nombre\n",
    "         #50 ; Cobertura pequeno SD\n",
    "    'Categoría Cliente',\n",
    "            #Especialista en Proc\n",
    "\n",
    "\n",
    "    #===================================================\n",
    "    #Caracteristicas Adiocinales a su consumo\n",
    "    #-------------------------------------------------\n",
    "        'Año Creación',\n",
    "            #Fecha de afiliación a Agrosuper\n",
    "             #-> Debe ser INT idealmente\n",
    "\n",
    "        'Material Favorito',\n",
    "             #ID del producto que ha comprado más frecuentemente\n",
    "             #(No por cantidad, si no que por cantidad de compras realizadas)\n",
    "                 #-> Puede ser solo el codigo o el nombre tambien\n",
    "\n",
    "        'Frecuencia Historica',\n",
    "             #Cantidad de compras realizadas desde el 2018\n",
    "                 #-> debe ser INT\n",
    "                     #-> constante para todas las compras\n",
    "                            # Al ser variable complejiza todo\n",
    " \n",
    "]]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0390aa21",
   "metadata": {},
   "source": [
    "###### Ajuste de type de columnas "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a0e19457",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_i['Frecuencia Historica']=data_i['Frecuencia Historica'].astype('int64')\n",
    "data_i['Año Creación']=data_i['Año Creación'].astype('int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "62f38f3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "category\n",
      "(198596, 18)\n",
      "(198596, 18)\n",
      "(198596, 18)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Población</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>Segmento.1</th>\n",
       "      <th>Categoría Cliente</th>\n",
       "      <th>Año Creación</th>\n",
       "      <th>Material Favorito</th>\n",
       "      <th>Frecuencia Historica</th>\n",
       "      <th>Mes_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61455</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1300</td>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>Sábado</td>\n",
       "      <td>21</td>\n",
       "      <td>Mayo</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Pintana</td>\n",
       "      <td>Sucursal Lo Espejo</td>\n",
       "      <td>10003742</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Especialista en Proc</td>\n",
       "      <td>2007</td>\n",
       "      <td>1010077</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61456</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>110</td>\n",
       "      <td>1174</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>9</td>\n",
       "      <td>Marzo</td>\n",
       "      <td>2018</td>\n",
       "      <td>Puente Alto</td>\n",
       "      <td>Sucursal Lo Espejo</td>\n",
       "      <td>10007508</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Mediano SD</td>\n",
       "      <td>Especialista en Crud</td>\n",
       "      <td>2007</td>\n",
       "      <td>1020253</td>\n",
       "      <td>464</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Material (Nombre)  Kilos Venta KG  Precio Día natural  \\\n",
       "61455  1010078(Trutro Entero Selección)              22    1300  2020-05-23   \n",
       "61456  1010078(Trutro Entero Selección)             110    1174  2018-03-01   \n",
       "\n",
       "      Día Semana Semana    Mes   Año    Población              Centro  \\\n",
       "61455     Sábado     21   Mayo  2020   La Pintana  Sucursal Lo Espejo   \n",
       "61456     Jueves      9  Marzo  2018  Puente Alto  Sucursal Lo Espejo   \n",
       "\n",
       "        Cliente  Cluster            Segmento.1     Categoría Cliente  \\\n",
       "61455  10003742  Clásico  Cobertura Pequeno SD  Especialista en Proc   \n",
       "61456  10007508  Clásico  Cobertura Mediano SD  Especialista en Crud   \n",
       "\n",
       "       Año Creación Material Favorito  Frecuencia Historica Mes_num  \n",
       "61455          2007           1010077                    19       5  \n",
       "61456          2007           1020253                   464       3  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Ajuste Columnas \n",
    "data_i.Año=data_i.Año.astype('category')\n",
    "print(data_i.Año.dtype)\n",
    "data_i['Mes_num']=data_i[\"Mes\"]#.apply(lambda x: Mes_name(x))\n",
    "print(data_i.shape)\n",
    "data_i['Mes']=data_i[\"Mes_num\"].apply(lambda x: Mes_name(x))\n",
    "print(data_i.shape)\n",
    "data_i[['Mes','Mes_num','Día natural']].head()\n",
    "print(data_i.shape)\n",
    "data_i.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0b5bcbc",
   "metadata": {},
   "source": [
    "##### brebe analisis "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc58991b",
   "metadata": {},
   "source": [
    "###### Diferencias en filas y columnas, data base "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b493f861",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data Full (1061161, 40)\n",
      "-256 3\n",
      "Data Año (1060905, 43)\n",
      "-862309 -25\n",
      "Data Año, Canal Producto (198596, 18)\n"
     ]
    }
   ],
   "source": [
    "#======================================\n",
    "# Disminución de las filas y columnas\n",
    "# al pasar a data_i\n",
    "#======================================\n",
    "\n",
    "print('Data Full',DF_FULL.shape)\n",
    "print(data.shape[0]-DF_FULL.shape[0],\n",
    "      data.shape[1]-DF_FULL.shape[1])\n",
    "print('Data Año',data.shape)\n",
    "print(data_i.shape[0]-data.shape[0],\n",
    "      data_i.shape[1]-data.shape[1])\n",
    "print('Data Año, Canal Producto',data_i.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b19e2eb",
   "metadata": {},
   "source": [
    "###### Describe "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a21c032d",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Población</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>Segmento.1</th>\n",
       "      <th>Categoría Cliente</th>\n",
       "      <th>Año Creación</th>\n",
       "      <th>Material Favorito</th>\n",
       "      <th>Frecuencia Historica</th>\n",
       "      <th>Mes_num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>unique</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1140</td>\n",
       "      <td>6</td>\n",
       "      <td>53</td>\n",
       "      <td>12</td>\n",
       "      <td>4.0</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>5073</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index Material (Nombre)  Kilos Venta KG  Precio Día natural Día Semana  \\\n",
       "1  unique                 1             NaN     NaN        1140          6   \n",
       "\n",
       "  Semana Mes  Año Población Centro Cliente Cluster Segmento.1  \\\n",
       "1     53  12  4.0        46      3    5073       3          3   \n",
       "\n",
       "  Categoría Cliente  Año Creación Material Favorito  Frecuencia Historica  \\\n",
       "1                 5           NaN                13                   NaN   \n",
       "\n",
       "  Mes_num  \n",
       "1      12  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desc=data_i.describe(include='all').reset_index()\n",
    "desc[desc['index']=='unique']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de023a7b",
   "metadata": {},
   "source": [
    "## Dicionario \n",
    "rename aplicado a `Precio promedio`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "74447145",
   "metadata": {},
   "outputs": [],
   "source": [
    "Dic_col={'Base':\n",
    "                             ['Material (Nombre)', 'Kilos Venta KG', 'Precio','Cliente'],\n",
    "        'Fecha':\n",
    "                             ['Día natural','Día Semana','Semana', 'Mes', 'Año'],\n",
    "        'Ubicacion':\n",
    "                             ['Centro','Población'],\n",
    "        'Cliente Categoria':\n",
    "                             ['Cluster','Segmento.1', 'Categoría Cliente'],\n",
    "        'Cliente Atributos':\n",
    "                             ['Año Creación', 'Material Favorito','Frecuencia Historica'] \n",
    "        }"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59b17d20",
   "metadata": {},
   "source": [
    "##### Revision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cb5cfbaf",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17\n",
      "['Material (Nombre)', 'Kilos Venta KG', 'Precio', 'Cliente', 'Día natural', 'Día Semana', 'Semana', 'Mes', 'Año', 'Centro', 'Población', 'Cluster', 'Segmento.1', 'Categoría Cliente', 'Año Creación', 'Material Favorito', 'Frecuencia Historica']\n"
     ]
    }
   ],
   "source": [
    "#List sirve para definir las columnas de interes para los datos\n",
    "list_=[]\n",
    "for i in Dic_col:\n",
    "    list_+=Dic_col[i]\n",
    "print(len(list_))\n",
    "print((list_))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ef1fbd92",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dict_keys(['Base', 'Fecha', 'Ubicacion', 'Cliente Categoria', 'Cliente Atributos'])\n",
      "['Material (Nombre)', 'Kilos Venta KG', 'Precio', 'Cliente', 'Día natural', 'Día Semana', 'Semana', 'Mes', 'Año', 'Centro', 'Población', 'Cluster', 'Segmento.1', 'Categoría Cliente', 'Año Creación', 'Material Favorito', 'Frecuencia Historica'] 17\n"
     ]
    },
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       "      <td>1010077(Trutro Entero Selección)</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1010077(Trutro Entero Selección)</td>\n",
       "      <td>12</td>\n",
       "      <td>1350</td>\n",
       "      <td>10003742</td>\n",
       "      <td>2018-05-04</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>18</td>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "      <td>Sucursal Lo Espejo</td>\n",
       "      <td>La Pintana</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Especialista en Proc</td>\n",
       "      <td>2007</td>\n",
       "      <td>1010077</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Material (Nombre)  Kilos Venta KG  Precio   Cliente  \\\n",
       "0  1010077(Trutro Entero Selección)              12    1190  10003742   \n",
       "1  1010077(Trutro Entero Selección)              12    1350  10003742   \n",
       "\n",
       "  Día natural Día Semana Semana Mes   Año              Centro   Población  \\\n",
       "0  2018-02-09    Viernes      6   2  2018  Sucursal Lo Espejo  La Pintana   \n",
       "1  2018-05-04    Viernes     18   5  2018  Sucursal Lo Espejo  La Pintana   \n",
       "\n",
       "   Cluster            Segmento.1     Categoría Cliente Año Creación  \\\n",
       "0  Clásico  Cobertura Pequeno SD  Especialista en Proc         2007   \n",
       "1  Clásico  Cobertura Pequeno SD  Especialista en Proc         2007   \n",
       "\n",
       "  Material Favorito Frecuencia Historica  \n",
       "0           1010077                   19  \n",
       "1           1010077                   19  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(Dic_col.keys())\n",
    "Columnas_a_usar=[j for i in \n",
    "                 ['Base','Fecha', 'Ubicacion', 'Cliente Categoria', 'Cliente Atributos']\n",
    "                 for j in Dic_col[i]  ]\n",
    "print(Columnas_a_usar,len(Columnas_a_usar))\n",
    "data[Columnas_a_usar].head(2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1d55169d",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Material (Nombre) ['1010077(Trutro Entero Selección)']\n",
      "Kilos Venta KG [12]\n",
      "Precio [1190]\n",
      "Cliente ['10003742']\n",
      "Día natural [datetime.date(2018, 2, 9)]\n",
      "Día Semana ['Viernes']\n",
      "Semana ['6']\n",
      "Mes ['2']\n",
      "Año [2018]\n",
      "Centro ['Sucursal Lo Espejo']\n",
      "Población ['La Pintana']\n",
      "Cluster ['Clásico']\n",
      "Segmento.1 ['Cobertura Pequeno SD']\n",
      "Categoría Cliente ['Especialista en Proc']\n",
      "Año Creación ['2007']\n",
      "Material Favorito ['1010077']\n",
      "Frecuencia Historica ['19']\n",
      "Tipo de cliente ['Tradicional']\n"
     ]
    }
   ],
   "source": [
    "for i in list(list_+['Tipo de cliente']):\n",
    "    print(i,data[list_+['Tipo de cliente']].iloc[:1,:][i].to_list())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c481a741",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "# R Recency, (Frescura)\n",
    "\n",
    "- [ ] __Caracteristica Cliente__\n",
    ">El tiempo que lleva sin realizar una compra en días.\n",
    "Se busca el registro más nuevo por cliente y se calcula el delta con el registro más nuevo de los datos.\n",
    "\n",
    "\n",
    " - [ ] __Feature of puchad__\n",
    ">Además se planea construir una columna, para definir el recency de cada transacción para definir si influye en el precio."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9f243ef",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## inicio "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4739f4d8",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "##### Columnas "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "acf26105",
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Base': ['Material (Nombre)', 'Kilos Venta KG', 'Precio', 'Cliente'],\n",
       " 'Fecha': ['Día natural', 'Día Semana', 'Semana', 'Mes', 'Año'],\n",
       " 'Ubicacion': ['Centro', 'Población'],\n",
       " 'Cliente Categoria': ['Cluster', 'Segmento.1', 'Categoría Cliente'],\n",
       " 'Cliente Atributos': ['Año Creación',\n",
       "  'Material Favorito',\n",
       "  'Frecuencia Historica']}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Dic_col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d2f24ce1",
   "metadata": {
    "hidden": 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>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61455</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1300</td>\n",
       "      <td>10003742</td>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>Sábado</td>\n",
       "      <td>21</td>\n",
       "      <td>Mayo</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61456</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>110</td>\n",
       "      <td>1174</td>\n",
       "      <td>10007508</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>9</td>\n",
       "      <td>Marzo</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61457</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>66</td>\n",
       "      <td>1174</td>\n",
       "      <td>10007508</td>\n",
       "      <td>2018-03-08</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>10</td>\n",
       "      <td>Marzo</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61458</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>66</td>\n",
       "      <td>1033</td>\n",
       "      <td>10007508</td>\n",
       "      <td>2018-03-20</td>\n",
       "      <td>Martes</td>\n",
       "      <td>12</td>\n",
       "      <td>Marzo</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61459</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>65</td>\n",
       "      <td>1100</td>\n",
       "      <td>10007508</td>\n",
       "      <td>2018-03-27</td>\n",
       "      <td>Martes</td>\n",
       "      <td>13</td>\n",
       "      <td>Marzo</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Material (Nombre)  Kilos Venta KG  Precio   Cliente  \\\n",
       "61455  1010078(Trutro Entero Selección)              22    1300  10003742   \n",
       "61456  1010078(Trutro Entero Selección)             110    1174  10007508   \n",
       "61457  1010078(Trutro Entero Selección)              66    1174  10007508   \n",
       "61458  1010078(Trutro Entero Selección)              66    1033  10007508   \n",
       "61459  1010078(Trutro Entero Selección)              65    1100  10007508   \n",
       "\n",
       "      Día natural Día Semana Semana    Mes   Año  \n",
       "61455  2020-05-23     Sábado     21   Mayo  2020  \n",
       "61456  2018-03-01     Jueves      9  Marzo  2018  \n",
       "61457  2018-03-08     Jueves     10  Marzo  2018  \n",
       "61458  2018-03-20     Martes     12  Marzo  2018  \n",
       "61459  2018-03-27     Martes     13  Marzo  2018  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i[Dic_col['Base']\n",
    "       +Dic_col['Fecha']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "055467a3",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2021, 10, 26)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i[Dic_col['Fecha'][0]].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "31a37c20",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1393"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(data_i[Dic_col['Fecha'][0]].max() -\n",
    "data_i[Dic_col['Fecha'][0]].min()).days"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "544219f7",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Prueba pequ "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48f8d56a",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "##### Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "414d6599",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(239,)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data_i[(data_i['Población'] =='La Florida')].copy()\n",
    "df.Cliente.unique().shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a550100",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "###### Mini data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f2058422",
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(39, 9)\n"
     ]
    },
    {
     "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>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>62396</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>44</td>\n",
       "      <td>1250</td>\n",
       "      <td>10077788</td>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>32</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62397</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1390</td>\n",
       "      <td>10077788</td>\n",
       "      <td>2020-08-20</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>34</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62398</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1450</td>\n",
       "      <td>10077788</td>\n",
       "      <td>2020-08-27</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>35</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Material (Nombre)  Kilos Venta KG  Precio   Cliente  \\\n",
       "62396  1010078(Trutro Entero Selección)              44    1250  10077788   \n",
       "62397  1010078(Trutro Entero Selección)              22    1390  10077788   \n",
       "62398  1010078(Trutro Entero Selección)              22    1450  10077788   \n",
       "\n",
       "      Día natural Día Semana Semana     Mes   Año  \n",
       "62396  2020-08-06     Jueves     32  Agosto  2020  \n",
       "62397  2020-08-20     Jueves     34  Agosto  2020  \n",
       "62398  2020-08-27     Jueves     35  Agosto  2020  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_X=df[df.Cliente=='10077788'][Dic_col['Base']\n",
    "       +Dic_col['Fecha']]\n",
    "print(df_X.shape)\n",
    "df_X.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "221c94f6",
   "metadata": {
    "hidden": true
   },
   "source": [
    "##### Función "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9ae63d5",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "###### Función con aplicación de row "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "38189eb0",
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.timedelta(days=14)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DF_G=data_i[Dic_col['Base']\n",
    "       +Dic_col['Fecha']].copy()\n",
    "Client_Count=0\n",
    "def R_lamd(X):\n",
    "    \"\"\"\n",
    "    Función que sirve para calcular Recency\n",
    "    df['Recency']=df.apply( (lambda x: F_lamd(x)) , axis=1)\n",
    "    df.head()\n",
    "    \"\"\"\n",
    "    \n",
    "#     index.Index_x=X.Index\n",
    "    id_C=(X.Cliente)\n",
    "    F_X=X['Día natural']\n",
    "    \n",
    "#     print(id_C,F_X)\n",
    "    df_ant=DF_G[\n",
    "        (DF_G['Día natural']<=F_X)\n",
    "        &(DF_G.Cliente==id_C)\n",
    "        ]\n",
    "    df_len=df_ant.shape[0]\n",
    "#     print(df_len)\n",
    "    if(df_ant.shape[0]==1):\n",
    "#         print(0)\n",
    "#         print(df_ant)\n",
    "        return(datetime.timedelta(days=0))\n",
    "    else:\n",
    "#         print(df_ant.iloc[df_len-2])\n",
    "        return((F_X -  df_ant.iloc[df_len-2]['Día natural']))\n",
    "\n",
    "R_lamd(df_X.iloc[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e307b666",
   "metadata": {
    "hidden": true
   },
   "source": [
    "###### Aplicación a data frame "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "46531f2a",
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time Lapsed = 0:3:11.388916492462158 \n",
      " H:m:s\n"
     ]
    },
    {
     "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>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Población</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>Segmento.1</th>\n",
       "      <th>Categoría Cliente</th>\n",
       "      <th>Año Creación</th>\n",
       "      <th>Material Favorito</th>\n",
       "      <th>Frecuencia Historica</th>\n",
       "      <th>Mes_num</th>\n",
       "      <th>Recency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>62396</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>44</td>\n",
       "      <td>1250</td>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>32</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Florida</td>\n",
       "      <td>Sucursal Huechuraba</td>\n",
       "      <td>10077788</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Emprendedores</td>\n",
       "      <td>2020</td>\n",
       "      <td>1010267</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>0 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62397</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1390</td>\n",
       "      <td>2020-08-20</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>34</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Florida</td>\n",
       "      <td>Sucursal Huechuraba</td>\n",
       "      <td>10077788</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Emprendedores</td>\n",
       "      <td>2020</td>\n",
       "      <td>1010267</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>14 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62398</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1450</td>\n",
       "      <td>2020-08-27</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>35</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Florida</td>\n",
       "      <td>Sucursal Huechuraba</td>\n",
       "      <td>10077788</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Emprendedores</td>\n",
       "      <td>2020</td>\n",
       "      <td>1010267</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>7 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62399</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1420</td>\n",
       "      <td>2020-08-31</td>\n",
       "      <td>Lunes</td>\n",
       "      <td>36</td>\n",
       "      <td>Agosto</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Florida</td>\n",
       "      <td>Sucursal Huechuraba</td>\n",
       "      <td>10077788</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Emprendedores</td>\n",
       "      <td>2020</td>\n",
       "      <td>1010267</td>\n",
       "      <td>44</td>\n",
       "      <td>8</td>\n",
       "      <td>4 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62400</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>44</td>\n",
       "      <td>1630</td>\n",
       "      <td>2020-09-17</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>38</td>\n",
       "      <td>Septiembre</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Florida</td>\n",
       "      <td>Sucursal Huechuraba</td>\n",
       "      <td>10077788</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Emprendedores</td>\n",
       "      <td>2020</td>\n",
       "      <td>1010267</td>\n",
       "      <td>44</td>\n",
       "      <td>9</td>\n",
       "      <td>17 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Material (Nombre)  Kilos Venta KG  Precio Día natural  \\\n",
       "62396  1010078(Trutro Entero Selección)              44    1250  2020-08-06   \n",
       "62397  1010078(Trutro Entero Selección)              22    1390  2020-08-20   \n",
       "62398  1010078(Trutro Entero Selección)              22    1450  2020-08-27   \n",
       "62399  1010078(Trutro Entero Selección)              22    1420  2020-08-31   \n",
       "62400  1010078(Trutro Entero Selección)              44    1630  2020-09-17   \n",
       "\n",
       "      Día Semana Semana         Mes   Año   Población               Centro  \\\n",
       "62396     Jueves     32      Agosto  2020  La Florida  Sucursal Huechuraba   \n",
       "62397     Jueves     34      Agosto  2020  La Florida  Sucursal Huechuraba   \n",
       "62398     Jueves     35      Agosto  2020  La Florida  Sucursal Huechuraba   \n",
       "62399      Lunes     36      Agosto  2020  La Florida  Sucursal Huechuraba   \n",
       "62400     Jueves     38  Septiembre  2020  La Florida  Sucursal Huechuraba   \n",
       "\n",
       "        Cliente  Cluster            Segmento.1 Categoría Cliente  \\\n",
       "62396  10077788  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "62397  10077788  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "62398  10077788  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "62399  10077788  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "62400  10077788  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "\n",
       "       Año Creación Material Favorito  Frecuencia Historica Mes_num Recency  \n",
       "62396          2020           1010267                    44       8  0 days  \n",
       "62397          2020           1010267                    44       8 14 days  \n",
       "62398          2020           1010267                    44       8  7 days  \n",
       "62399          2020           1010267                    44       8  4 days  \n",
       "62400          2020           1010267                    44       9 17 days  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#==================================\n",
    "#          Example\n",
    "#    input(\"Press Enter to start\")\n",
    "#    start_time = time.time()\n",
    "#    input(\"Press Enter to stop\")\n",
    "#    end_time = time.time()\n",
    "#    time_lapsed = end_time - start_time\n",
    "#    time_convert(time_lapsed)\n",
    "#=================================\n",
    "\n",
    "start_time_2 = time.time()\n",
    "df['Recency']=df.apply( (lambda x: R_lamd(x)) , axis=1)\n",
    "end_time_2 = time.time()\n",
    "time_lapsed_2 = end_time_2 - start_time_2\n",
    "time_convert(time_lapsed_2)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "977ac773",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "239"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 239\n",
    "len(df.Cliente.unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5c884fc1",
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(239, 19)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Recency==datetime.timedelta(days=0)].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "200e50a3",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Prueba Real "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c0b6cbd",
   "metadata": {
    "hidden": true
   },
   "source": [
    "```python \n",
    "df_P=data_i.copy()\n",
    "start_time_3 = time.time()\n",
    "df_P['Recency']=df_P.apply( (lambda x: R_lamd(x)) , axis=1)\n",
    "end_time_3 = time.time()\n",
    "time_lapsed_3 = end_time_3 - start_time_3\n",
    "print('Recency de data_i')\n",
    "time_convert(time_lapsed_3)\n",
    "\n",
    "print('Recency total')\n",
    "time_convert(end_time_3 - start_time)\n",
    "\n",
    "df_P.head()\n",
    "\n",
    "# Recency de data_i\n",
    "# Time Lapsed = 1:5:28.39366388320923 \n",
    "#  H:m:s\n",
    "# Recency total\n",
    "# Time Lapsed = 1:9:21.014468669891357 \n",
    "#  H:m:s\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe8cc69e",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "## Save CSV "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01dcdd12",
   "metadata": {
    "hidden": true
   },
   "source": [
    "```python \n",
    "File_save_CSV=file_direct_O+'data_1010078_CT R'+'.csv'\n",
    "\n",
    "df_P.to_csv(File_save_CSV, encoding='utf-8',index=True,sep=';')\n",
    "\n",
    "end_time_4 = time.time()\n",
    "time_lapsed_4 = end_time_4 - end_time_3\n",
    "time_lapsed_final = end_time_4 - start_time\n",
    "\n",
    "print('Guardado df')\n",
    "time_convert(time_lapsed_4)\n",
    "\n",
    "print('Recency total codigo')\n",
    "time_convert(time_lapsed_final)\n",
    "\n",
    "# Guardado df\n",
    "# Time Lapsed = 0:0:5.454247236251831 \n",
    "#  H:m:s\n",
    "# Recency total codigo\n",
    "# Time Lapsed = 1:9:26.46871590614319 \n",
    "#  H:m:s\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5e71982",
   "metadata": {},
   "source": [
    "# Uso de R file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9ce352b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data_1010078_CT R.csv\n"
     ]
    }
   ],
   "source": [
    "print('data_1010078_CT R'+'.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86c853d2",
   "metadata": {},
   "source": [
    "## Abrir Archivo  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25619431",
   "metadata": {},
   "source": [
    "Se debe agregar el parametro `,index_col='Unnamed: 0'` de esta froma tal vez se pueda hacer un merge en base al indice"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "228d2aa3",
   "metadata": {},
   "source": [
    "##### abrir "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0f14ea23",
   "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>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Población</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>Segmento.1</th>\n",
       "      <th>Categoría Cliente</th>\n",
       "      <th>Año Creación</th>\n",
       "      <th>Material Favorito</th>\n",
       "      <th>Frecuencia Historica</th>\n",
       "      <th>Mes_num</th>\n",
       "      <th>Recency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61455</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1300</td>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>Sábado</td>\n",
       "      <td>21</td>\n",
       "      <td>Mayo</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Pintana</td>\n",
       "      <td>Sucursal Lo Espejo</td>\n",
       "      <td>10003742</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Especialista en Proc</td>\n",
       "      <td>2007</td>\n",
       "      <td>1010077</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>0 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Material (Nombre) Kilos Venta KG Precio Día natural  \\\n",
       "61455  1010078(Trutro Entero Selección)             22   1300  2020-05-23   \n",
       "\n",
       "      Día Semana Semana   Mes   Año   Población              Centro   Cliente  \\\n",
       "61455     Sábado     21  Mayo  2020  La Pintana  Sucursal Lo Espejo  10003742   \n",
       "\n",
       "       Cluster            Segmento.1     Categoría Cliente Año Creación  \\\n",
       "61455  Clásico  Cobertura Pequeno SD  Especialista en Proc         2007   \n",
       "\n",
       "      Material Favorito Frecuencia Historica Mes_num Recency  \n",
       "61455           1010077                   19       5  0 days  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#======================================================================\n",
    "# Se Cargan los datos de ventas con las caracteristicas de los clientes\n",
    "#=====================================================================\n",
    "\n",
    "file_direct=file_direct_O+'data_1010078_CT R'+'.csv'\n",
    "col_names=pd.read_csv(file_direct,\n",
    "                      encoding=\"utf-8\",sep=\";\",nrows=0).columns\n",
    "\n",
    "types_dict = {col: str for col in list(col_names)}\n",
    "\n",
    "data_i_R = pd.read_csv(file_direct,\n",
    "                   encoding=\"utf-8\",sep=\";\",dtype=types_dict\n",
    "                      ,index_col='Unnamed: 0'\n",
    "                      )\n",
    "#elimina una columna en especifico\n",
    "#DF_FULL.drop('Año natural', inplace=True, axis=1)\n",
    "data_i_R.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7c29b30",
   "metadata": {},
   "source": [
    "##### Funcion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec713b7",
   "metadata": {},
   "source": [
    "###### def "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "015ac527",
   "metadata": {},
   "outputs": [],
   "source": [
    "# =============================================================================\n",
    "# Ajustar la data\n",
    "# =============================================================================\n",
    "def Ajuste_data_Refinada(data):\n",
    "    start_time = time.time()\n",
    "\n",
    "    df=data.copy()\n",
    "\n",
    "# =================================\n",
    "# ELiminare dodos los valores Nan\n",
    "# =================================\n",
    "    #for i in df.columns.to_list():\n",
    "    #    df=df[df[i].notna()]\n",
    "\n",
    "    \n",
    "    \n",
    "#=================================\n",
    "# Proceso Recency a Int \n",
    "#=================================\n",
    "        \n",
    "    df['Recency días']=df['Recency'].apply( lambda x:  x.split(' ')[0])\n",
    "    \n",
    "#=================================\n",
    "# Proceso iterativo Pasar a numero\n",
    "#=================================\n",
    "\n",
    "    for i in ['Kilos Venta KG'\n",
    "#               ,'Venta Neta'\n",
    "              ,'Precio'\n",
    "              ,'Recency días'\n",
    "             ]:\n",
    "        df[i]=df[i].astype('float64').astype('int64')\n",
    "        \n",
    "# #=================================\n",
    "# # Agregar nombre al codigo del producto\n",
    "# #=================================\n",
    "#     def material_name(x):\n",
    "#         s1=str(x['Material'])\n",
    "#         s2=str(x['Nivel 4.1'])\n",
    "#         return(s1+'('+s2+')')\n",
    "#     df['Material (Nombre)']=df.apply(lambda x:  material_name(x), axis=1)\n",
    "    \n",
    "\n",
    "\n",
    "#==========================================================================================\n",
    "# Ajuste de las fechas\n",
    "#-----------------------------------------------------------------------------------------\n",
    "    df[\"Día natural\"] = df[\"Día natural\"].apply(lambda x: \n",
    "                                                datetime.datetime.strptime(str(x),\n",
    "                                                                           '%Y-%m-%d').date())\n",
    "    \n",
    "    #Separacion fecha\n",
    "    \n",
    "    #ELiminado de DF_FULL\n",
    "    #df['Semana']=df[\"Día natural\"].apply(lambda x: x.isocalendar()[1] )\n",
    "    #df['Mes']=df[\"Día natural\"].apply(lambda x: x.month)\n",
    "    #df['Año']=df[\"Día natural\"].apply(lambda x: x.year)\n",
    "    #df['Semana']=df['Semana'].astype('int64')\n",
    "    \n",
    "#     df['Año']=df['Año'].astype('int64')\n",
    "#     D_W=['Lunes','Martes','Miércoles','Jueves', 'Viernes','Sábado','Domingo']\n",
    "#     df['Día Semana']=df[\"Día natural\"].apply(lambda x: D_W[x.isocalendar()[2] -1])\n",
    "#     df=df[df['Día Semana']!='Domingo']\n",
    "    \n",
    "    print(df.dtypes)\n",
    "    end_time = time.time()\n",
    "    time_convert(end_time - start_time)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8c8e6f0",
   "metadata": {},
   "source": [
    "###### palicación "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "705fd67b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Material (Nombre)       object\n",
      "Kilos Venta KG           int64\n",
      "Precio                   int64\n",
      "Día natural             object\n",
      "Día Semana              object\n",
      "Semana                  object\n",
      "Mes                     object\n",
      "Año                     object\n",
      "Población               object\n",
      "Centro                  object\n",
      "Cliente                 object\n",
      "Cluster                 object\n",
      "Segmento.1              object\n",
      "Categoría Cliente       object\n",
      "Año Creación            object\n",
      "Material Favorito       object\n",
      "Frecuencia Historica    object\n",
      "Mes_num                 object\n",
      "Recency                 object\n",
      "Recency días             int64\n",
      "dtype: object\n",
      "Time Lapsed = 0:0:1.6745195388793945 \n",
      " H:m:s\n"
     ]
    },
    {
     "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>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Población</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>Segmento.1</th>\n",
       "      <th>Categoría Cliente</th>\n",
       "      <th>Año Creación</th>\n",
       "      <th>Material Favorito</th>\n",
       "      <th>Frecuencia Historica</th>\n",
       "      <th>Mes_num</th>\n",
       "      <th>Recency</th>\n",
       "      <th>Recency días</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61455</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1300</td>\n",
       "      <td>2020-05-23</td>\n",
       "      <td>Sábado</td>\n",
       "      <td>21</td>\n",
       "      <td>Mayo</td>\n",
       "      <td>2020</td>\n",
       "      <td>La Pintana</td>\n",
       "      <td>Sucursal Lo Espejo</td>\n",
       "      <td>10003742</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Especialista en Proc</td>\n",
       "      <td>2007</td>\n",
       "      <td>1010077</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>0 days</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61456</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>110</td>\n",
       "      <td>1174</td>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>9</td>\n",
       "      <td>Marzo</td>\n",
       "      <td>2018</td>\n",
       "      <td>Puente Alto</td>\n",
       "      <td>Sucursal Lo Espejo</td>\n",
       "      <td>10007508</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Mediano SD</td>\n",
       "      <td>Especialista en Crud</td>\n",
       "      <td>2007</td>\n",
       "      <td>1020253</td>\n",
       "      <td>464</td>\n",
       "      <td>3</td>\n",
       "      <td>0 days</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Material (Nombre)  Kilos Venta KG  Precio Día natural  \\\n",
       "61455  1010078(Trutro Entero Selección)              22    1300  2020-05-23   \n",
       "61456  1010078(Trutro Entero Selección)             110    1174  2018-03-01   \n",
       "\n",
       "      Día Semana Semana    Mes   Año    Población              Centro  \\\n",
       "61455     Sábado     21   Mayo  2020   La Pintana  Sucursal Lo Espejo   \n",
       "61456     Jueves      9  Marzo  2018  Puente Alto  Sucursal Lo Espejo   \n",
       "\n",
       "        Cliente  Cluster            Segmento.1     Categoría Cliente  \\\n",
       "61455  10003742  Clásico  Cobertura Pequeno SD  Especialista en Proc   \n",
       "61456  10007508  Clásico  Cobertura Mediano SD  Especialista en Crud   \n",
       "\n",
       "      Año Creación Material Favorito Frecuencia Historica Mes_num Recency  \\\n",
       "61455         2007           1010077                   19       5  0 days   \n",
       "61456         2007           1020253                  464       3  0 days   \n",
       "\n",
       "       Recency días  \n",
       "61455             0  \n",
       "61456             0  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i_R=Ajuste_data_Refinada(data_i_R)\n",
    "data_i_R.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc991dac",
   "metadata": {},
   "source": [
    "## Exploración R"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a31f2e96",
   "metadata": {},
   "source": [
    "##### histograma "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d6d68b54",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(198596, 20)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i_R.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7ebdcb68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_i_R[data_i_R.columns[19]].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "51d0751e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    198596.000000\n",
       "mean         16.872530\n",
       "std          45.846675\n",
       "min           0.000000\n",
       "25%           3.000000\n",
       "50%           6.000000\n",
       "75%          11.000000\n",
       "max        1316.000000\n",
       "Name: Recency días, dtype: float64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i_R\\\n",
    "[data_i_R.columns[19]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fb4e0205",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    63389.000000\n",
       "mean        19.409503\n",
       "std         51.405541\n",
       "min          0.000000\n",
       "25%          3.000000\n",
       "50%          7.000000\n",
       "75%         14.000000\n",
       "max       1316.000000\n",
       "Name: Recency días, dtype: float64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i_R[(data_i_R.Año=='2021')]\\\n",
    "[data_i_R.columns[19]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "fbc1e88b",
   "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>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
       "      <th>Precio</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Día Semana</th>\n",
       "      <th>Semana</th>\n",
       "      <th>Mes</th>\n",
       "      <th>Año</th>\n",
       "      <th>Población</th>\n",
       "      <th>Centro</th>\n",
       "      <th>Cliente</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>Segmento.1</th>\n",
       "      <th>Categoría Cliente</th>\n",
       "      <th>Año Creación</th>\n",
       "      <th>Material Favorito</th>\n",
       "      <th>Frecuencia Historica</th>\n",
       "      <th>Mes_num</th>\n",
       "      <th>Recency</th>\n",
       "      <th>Recency días</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>124082</th>\n",
       "      <td>1010078(Trutro Entero Selección)</td>\n",
       "      <td>22</td>\n",
       "      <td>1350</td>\n",
       "      <td>2021-09-23</td>\n",
       "      <td>Jueves</td>\n",
       "      <td>38</td>\n",
       "      <td>Septiembre</td>\n",
       "      <td>2021</td>\n",
       "      <td>Lo Prado</td>\n",
       "      <td>Sucursal Miraflores</td>\n",
       "      <td>14443986</td>\n",
       "      <td>Clásico</td>\n",
       "      <td>Cobertura Pequeno SD</td>\n",
       "      <td>Emprendedores</td>\n",
       "      <td>2007</td>\n",
       "      <td>1010078</td>\n",
       "      <td>10</td>\n",
       "      <td>9</td>\n",
       "      <td>1316 days</td>\n",
       "      <td>1316</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Material (Nombre)  Kilos Venta KG  Precio Día natural  \\\n",
       "124082  1010078(Trutro Entero Selección)              22    1350  2021-09-23   \n",
       "\n",
       "       Día Semana Semana         Mes   Año Población               Centro  \\\n",
       "124082     Jueves     38  Septiembre  2021  Lo Prado  Sucursal Miraflores   \n",
       "\n",
       "         Cliente  Cluster            Segmento.1 Categoría Cliente  \\\n",
       "124082  14443986  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "\n",
       "       Año Creación Material Favorito Frecuencia Historica Mes_num    Recency  \\\n",
       "124082         2007           1010078                   10       9  1316 days   \n",
       "\n",
       "        Recency días  \n",
       "124082          1316  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i_R[(\n",
    "    data_i_R[data_i_R.columns[19]]\n",
    "    >=1312)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "d4ca73fc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (180343676311)>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(data_i_R,aes(x='Año'\n",
    "                    ,y='Recency días'))\\\n",
    "+geom_boxplot()\n",
    "# (mapping=None, data=data_i_R, stat='bin', position='stack',\n",
    "#                na_rm=False, inherit_aes=True, show_legend=None, raster=False)\n",
    "#                **kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "5fc90f36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (180305699684)>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(data_i_R,aes(x='Recency días'))\\\n",
    "+geom_histogram(bins=100)\n",
    "# (mapping=None, data=data_i_R, stat='bin', position='stack',\n",
    "#                na_rm=False, inherit_aes=True, show_legend=None, raster=False)\n",
    "#                **kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afa4c496",
   "metadata": {},
   "source": [
    "##### Disperción "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "44b2d460",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1300x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (180387287851)>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data_i_R.copy()\n",
    "X_Graph='Recency días'\n",
    "Y_Graph='Precio'\n",
    "df[X_Graph]=df[X_Graph].astype('int64')\n",
    "# df_mean[X_Graph]=df_mean[X_Graph].astype('int64')\n",
    "\n",
    "(ggplot(df#[df[Y_Graph]>0]\n",
    "            , aes(x=X_Graph#'Día numero'#'Fecha',\n",
    "            ,y=Y_Graph\n",
    "            ,color='Año'\n",
    "                 ))\n",
    "+geom_point(alpha=0.5)\n",
    "+theme(axis_text_x = element_text(angle=90, hjust=1),figure_size=(13,8)) \n",
    "\n",
    ")      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "50166eee",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1300x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (180432580910)>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data_i_R.copy()\n",
    "X_Graph='Recency días'\n",
    "Y_Graph='Precio'\n",
    "df[X_Graph]=df[X_Graph].astype('int64')\n",
    "# df[X_Graph]=df[X_Graph].apply(lambda x:  np.log(x))\n",
    "# df[Y_Graph]=df[Y_Graph].apply(lambda x:  np.log(x))\n",
    "\n",
    "\n",
    "# df_mean[X_Graph]=df_mean[X_Graph].astype('int64')\n",
    "\n",
    "(ggplot(df#[df[Y_Graph]>0]\n",
    "            , aes(x=X_Graph#'Día numero'#'Fecha',\n",
    "            ,y=Y_Graph\n",
    "            ,color='Año'\n",
    "                 ))\n",
    "+geom_point(alpha=0.5)\n",
    "+facet_grid('Año~.')\n",
    "+theme(axis_text_x = element_text(angle=90, hjust=1),figure_size=(13,8)) \n",
    "\n",
    ")      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "eb59d0b7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x1300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (180471529972)>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data_i_R.copy()\n",
    "X_Graph='Recency días'\n",
    "#'Kilos Venta KG'\n",
    "Y_Graph='Precio'\n",
    "Color_Graph='Año'\n",
    "\n",
    "\n",
    "#int\n",
    "df[X_Graph]=df[X_Graph].astype('int64')\n",
    "\n",
    "df[X_Graph]=df[X_Graph].apply(lambda x:  np.log(x))\n",
    "df[Y_Graph]=df[Y_Graph].apply(lambda x:  np.log(x))\n",
    "df[Y_Graph]=df[Y_Graph].apply(lambda x:  np.log(x))\n",
    "\n",
    "\n",
    "# df_mean[X_Graph]=df_mean[X_Graph].astype('int64')\n",
    "\n",
    "(ggplot(df#[df[Y_Graph]>0]\n",
    "            , aes(x=X_Graph#'Día numero'#'Fecha',\n",
    "            ,y=Y_Graph\n",
    "            ,color=Color_Graph\n",
    "                 ))\n",
    "+geom_point(alpha=0.5)\n",
    "+facet_grid('Año~.')\n",
    "+theme(axis_text_x = element_text(angle=90, hjust=1),figure_size=(8,13)) \n",
    "\n",
    ")      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "cdbe0398",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Material (Nombre)', 'Kilos Venta KG', 'Precio', 'Cliente']"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Dic_col['Base']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "2bcf7ea5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (180416635609)>"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data_i_R.copy()\n",
    "X_Graph='Kilos Venta KG'\n",
    "Y_Graph='Precio'\n",
    "Color_Graph='Recency días'\n",
    "\n",
    "\n",
    "#int\n",
    "df[X_Graph]=df[X_Graph].astype('int64')\n",
    "\n",
    "df[X_Graph]=df[X_Graph].apply(lambda x:  np.log(x))\n",
    "df[Y_Graph]=df[Y_Graph].apply(lambda x:  np.log(x))\n",
    "df[Color_Graph]=df[Color_Graph].apply(lambda x:  np.log(x))\n",
    "\n",
    "\n",
    "# df_mean[X_Graph]=df_mean[X_Graph].astype('int64')\n",
    "\n",
    "(ggplot(df#[df[Y_Graph]>0]\n",
    "            , aes(x=X_Graph#'Día numero'#'Fecha',\n",
    "            ,y=Y_Graph\n",
    "            ,color=Color_Graph\n",
    "                 ))\n",
    "+geom_point(alpha=0.5)\n",
    "+facet_grid('.~Año')\n",
    "+theme(axis_text_x = element_text(angle=90, hjust=1),figure_size=(8,8)) \n",
    "\n",
    ")      "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8acfd62c",
   "metadata": {},
   "source": [
    "###### Descripción por cliente "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "643bf493",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Recency días</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cliente</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10003742</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10007508</th>\n",
       "      <td>208.0</td>\n",
       "      <td>6.418269</td>\n",
       "      <td>7.085609</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.00</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10017269</th>\n",
       "      <td>78.0</td>\n",
       "      <td>17.500000</td>\n",
       "      <td>8.773854</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>21.00</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10023880</th>\n",
       "      <td>20.0</td>\n",
       "      <td>49.300000</td>\n",
       "      <td>82.268559</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22.5</td>\n",
       "      <td>57.75</td>\n",
       "      <td>357.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10028999</th>\n",
       "      <td>13.0</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>33.266600</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>63.00</td>\n",
       "      <td>136.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9992154</th>\n",
       "      <td>70.0</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>20.255613</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>17.75</td>\n",
       "      <td>112.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9993925</th>\n",
       "      <td>543.0</td>\n",
       "      <td>2.565378</td>\n",
       "      <td>1.298189</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9994662</th>\n",
       "      <td>11.0</td>\n",
       "      <td>55.636364</td>\n",
       "      <td>44.913857</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>80.50</td>\n",
       "      <td>157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9994800</th>\n",
       "      <td>3.0</td>\n",
       "      <td>65.333333</td>\n",
       "      <td>95.552778</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>21.0</td>\n",
       "      <td>98.00</td>\n",
       "      <td>175.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997223</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5073 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Recency días                                                     \n",
       "                count       mean        std  min   25%   50%    75%    max\n",
       "Cliente                                                                   \n",
       "10003742          1.0   0.000000        NaN  0.0   0.0   0.0   0.00    0.0\n",
       "10007508        208.0   6.418269   7.085609  0.0   2.0   5.0   7.00   42.0\n",
       "10017269         78.0  17.500000   8.773854  0.0  14.0  14.0  21.00   49.0\n",
       "10023880         20.0  49.300000  82.268559  0.0   7.0  22.5  57.75  357.0\n",
       "10028999         13.0  53.000000  33.266600  0.0  35.0  49.0  63.00  136.0\n",
       "...               ...        ...        ...  ...   ...   ...    ...    ...\n",
       "9992154          70.0  15.000000  20.255613  0.0   5.0   7.0  17.75  112.0\n",
       "9993925         543.0   2.565378   1.298189  0.0   2.0   2.0   3.00   14.0\n",
       "9994662          11.0  55.636364  44.913857  0.0  24.0  39.0  80.50  157.0\n",
       "9994800           3.0  65.333333  95.552778  0.0  10.5  21.0  98.00  175.0\n",
       "9997223           1.0   0.000000        NaN  0.0   0.0   0.0   0.00    0.0\n",
       "\n",
       "[5073 rows x 8 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_G=data_i_R[['Cliente','Recency días']].groupby('Cliente').describe()\n",
    "df_G"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8aafe39e",
   "metadata": {},
   "source": [
    "### PRUEBA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b627150",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "##### data chica"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "f1e2d019",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(239,)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data_i[(data_i['Población'] =='La Florida')].copy()\n",
    "df.Cliente.unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1aeeadeb",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1079, 20)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(46,)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data_i_R[(data_i_R['Población'] =='Las Condes')].copy()\n",
    "print(df.shape)\n",
    "df.Cliente.unique().shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "807ff3d7",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.date(2021, 10, 26)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i_R['Día natural'].max()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0c947fd",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "#### groupby selección ultima fecha each client "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "01109c85",
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(46, 2)\n"
     ]
    },
    {
     "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>Cliente</th>\n",
       "      <th>Día natural</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10537676</td>\n",
       "      <td>2021-05-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11263733</td>\n",
       "      <td>2021-10-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11437928</td>\n",
       "      <td>2021-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11566484</td>\n",
       "      <td>2021-08-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11862820</td>\n",
       "      <td>2020-09-12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Cliente Día natural\n",
       "0  10537676  2021-05-10\n",
       "1  11263733  2021-10-23\n",
       "2  11437928  2021-09-01\n",
       "3  11566484  2021-08-23\n",
       "4  11862820  2020-09-12"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fecha_fin=df[['Cliente','Día natural']].groupby('Cliente').max().reset_index()#\n",
    "print(df_fecha_fin.shape)\n",
    "df_fecha_fin.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1feb890",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "###### aclculo de recency final "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "9b2efd6d",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>Cliente</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Recency ultimo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10537676</td>\n",
       "      <td>2021-05-10</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11263733</td>\n",
       "      <td>2021-10-23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11437928</td>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11566484</td>\n",
       "      <td>2021-08-23</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11862820</td>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12197874</td>\n",
       "      <td>2021-04-10</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>13472461</td>\n",
       "      <td>2021-10-23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>13664118</td>\n",
       "      <td>2020-04-06</td>\n",
       "      <td>568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>14232412</td>\n",
       "      <td>2021-09-04</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>14676322</td>\n",
       "      <td>2021-09-11</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>14682944</td>\n",
       "      <td>2021-06-12</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>14704478</td>\n",
       "      <td>2021-07-31</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>14704842</td>\n",
       "      <td>2021-02-06</td>\n",
       "      <td>262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14731210</td>\n",
       "      <td>2021-04-17</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14752981</td>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>14758910</td>\n",
       "      <td>2021-03-31</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>15515216</td>\n",
       "      <td>2021-10-21</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17026502</td>\n",
       "      <td>2021-10-22</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>22144263</td>\n",
       "      <td>2021-02-24</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>22621698</td>\n",
       "      <td>2021-10-09</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>22642243</td>\n",
       "      <td>2021-09-15</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22847441</td>\n",
       "      <td>2020-12-19</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>25751985</td>\n",
       "      <td>2021-02-10</td>\n",
       "      <td>258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3676189</td>\n",
       "      <td>2021-07-12</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4548153</td>\n",
       "      <td>2021-09-11</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5286957</td>\n",
       "      <td>2021-10-21</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5520139</td>\n",
       "      <td>2021-07-14</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5740042</td>\n",
       "      <td>2021-07-05</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>6444674</td>\n",
       "      <td>2021-09-11</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>7411803</td>\n",
       "      <td>2021-10-23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>76061830</td>\n",
       "      <td>2020-11-28</td>\n",
       "      <td>332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>76142271</td>\n",
       "      <td>2021-08-18</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>76174859</td>\n",
       "      <td>2021-10-19</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>76303116</td>\n",
       "      <td>2021-09-08</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>76507017</td>\n",
       "      <td>2021-04-05</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>76518349</td>\n",
       "      <td>2021-10-18</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>76852543</td>\n",
       "      <td>2021-09-16</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>76860858</td>\n",
       "      <td>2021-10-19</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>76861617</td>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>76906755</td>\n",
       "      <td>2020-04-22</td>\n",
       "      <td>552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>77026377</td>\n",
       "      <td>2021-10-20</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>79609570</td>\n",
       "      <td>2021-06-05</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>79754660</td>\n",
       "      <td>2021-08-23</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>8452215</td>\n",
       "      <td>2021-06-26</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>9835928</td>\n",
       "      <td>2021-10-25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>9990322</td>\n",
       "      <td>2021-05-10</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Cliente Día natural  Recency ultimo\n",
       "0   10537676  2021-05-10             169\n",
       "1   11263733  2021-10-23               3\n",
       "2   11437928  2021-09-01              55\n",
       "3   11566484  2021-08-23              64\n",
       "4   11862820  2020-09-12             409\n",
       "5   12197874  2021-04-10             199\n",
       "6   13472461  2021-10-23               3\n",
       "7   13664118  2020-04-06             568\n",
       "8   14232412  2021-09-04              52\n",
       "9   14676322  2021-09-11              45\n",
       "10  14682944  2021-06-12             136\n",
       "11  14704478  2021-07-31              87\n",
       "12  14704842  2021-02-06             262\n",
       "13  14731210  2021-04-17             192\n",
       "14  14752981  2021-07-28              90\n",
       "15  14758910  2021-03-31             209\n",
       "16  15515216  2021-10-21               5\n",
       "17  17026502  2021-10-22               4\n",
       "18  22144263  2021-02-24             244\n",
       "19  22621698  2021-10-09              17\n",
       "20  22642243  2021-09-15              41\n",
       "21  22847441  2020-12-19             311\n",
       "22  25751985  2021-02-10             258\n",
       "23   3676189  2021-07-12             106\n",
       "24   4548153  2021-09-11              45\n",
       "25   5286957  2021-10-21               5\n",
       "26   5520139  2021-07-14             104\n",
       "27   5740042  2021-07-05             113\n",
       "28   6444674  2021-09-11              45\n",
       "29   7411803  2021-10-23               3\n",
       "30  76061830  2020-11-28             332\n",
       "31  76142271  2021-08-18              69\n",
       "32  76174859  2021-10-19               7\n",
       "33  76303116  2021-09-08              48\n",
       "34  76507017  2021-04-05             204\n",
       "35  76518349  2021-10-18               8\n",
       "36  76852543  2021-09-16              40\n",
       "37  76860858  2021-10-19               7\n",
       "38  76861617  2020-03-28             577\n",
       "39  76906755  2020-04-22             552\n",
       "40  77026377  2021-10-20               6\n",
       "41  79609570  2021-06-05             143\n",
       "42  79754660  2021-08-23              64\n",
       "43   8452215  2021-06-26             122\n",
       "44   9835928  2021-10-25               1\n",
       "45   9990322  2021-05-10             169"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#     df['Recency días']=df['Recency'].apply( lambda x:  x.split(' ')[0])\n",
    "df_fecha_fin['Recency ultimo']=\\\n",
    "df_fecha_fin['Día natural'].apply( lambda x: (datetime.date(2021, 10, 26) - x).days)\n",
    "#.apply( lambda x:  x.split(' ')[0])\n",
    "df_fecha_fin"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8d9eec0",
   "metadata": {
    "hidden": true
   },
   "source": [
    "##### Grafico "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "229ce26b",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "###### plop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "300c4f5b",
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_fecha_fin['Recency ultimo'].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "baf69cc1",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<ggplot: (180305832126)>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(df_fecha_fin,aes(x='Recency ultimo'))\\\n",
    "+geom_histogram(bins=30)\\\n",
    "+\n",
    "\n",
    "    #binwidth=0.5)\n",
    "# (mapping=None, data=data_i_R, stat='bin', position='stack',\n",
    "#                na_rm=False, inherit_aes=True, show_legend=None, raster=False)\n",
    "#                **kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20c6fcf6",
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e9813911",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "#### exploración atipicos "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "2cdc30bd",
   "metadata": {
    "hidden": 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>Cliente</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Recency ultimo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10537676</td>\n",
       "      <td>2021-05-10</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11263733</td>\n",
       "      <td>2021-10-23</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11437928</td>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11566484</td>\n",
       "      <td>2021-08-23</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11862820</td>\n",
       "      <td>2020-09-12</td>\n",
       "      <td>409</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Cliente Día natural  Recency ultimo\n",
       "0  10537676  2021-05-10             169\n",
       "1  11263733  2021-10-23               3\n",
       "2  11437928  2021-09-01              55\n",
       "3  11566484  2021-08-23              64\n",
       "4  11862820  2020-09-12             409"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fecha_fin.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a893efab",
   "metadata": {
    "hidden": 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>Recency ultimo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>46.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>134.630435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>152.722458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>22.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>78.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>197.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>577.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Recency ultimo\n",
       "count       46.000000\n",
       "mean       134.630435\n",
       "std        152.722458\n",
       "min          1.000000\n",
       "25%         22.750000\n",
       "50%         78.000000\n",
       "75%        197.250000\n",
       "max        577.000000"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fecha_fin.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b6cbf45e",
   "metadata": {
    "hidden": true,
    "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>Cliente</th>\n",
       "      <th>Día natural</th>\n",
       "      <th>Recency ultimo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>76861617</td>\n",
       "      <td>2020-03-28</td>\n",
       "      <td>577</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Cliente Día natural  Recency ultimo\n",
       "38  76861617  2020-03-28             577"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_fecha_fin[df_fecha_fin['Recency ultimo']==577]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "bdd5e788",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
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       "      <td>76861617</td>\n",
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       "      <td>49 days</td>\n",
       "      <td>49</td>\n",
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      "text/plain": [
       "                       Material (Nombre)  Kilos Venta KG  Precio Día natural  \\\n",
       "237526  1010078(Trutro Entero Selección)              22    1150  2020-02-08   \n",
       "237527  1010078(Trutro Entero Selección)              44    1338  2020-03-28   \n",
       "\n",
       "       Día Semana Semana      Mes   Año   Población               Centro  \\\n",
       "237526     Sábado      6  Febrero  2020  Las Condes  Sucursal Huechuraba   \n",
       "237527     Sábado     13    Marzo  2020  Las Condes  Sucursal Huechuraba   \n",
       "\n",
       "         Cliente  Cluster            Segmento.1 Categoría Cliente  \\\n",
       "237526  76861617  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "237527  76861617  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "\n",
       "       Año Creación Material Favorito Frecuencia Historica Mes_num  Recency  \\\n",
       "237526         2020           1020253                    7       2   0 days   \n",
       "237527         2020           1020253                    7       3  49 days   \n",
       "\n",
       "        Recency días  \n",
       "237526             0  \n",
       "237527            49  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.Cliente=='76861617']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "370d0c9d",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
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       "      <td>49</td>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "                       Material (Nombre)  Kilos Venta KG  Precio Día natural  \\\n",
       "237526  1010078(Trutro Entero Selección)              22    1150  2020-02-08   \n",
       "237527  1010078(Trutro Entero Selección)              44    1338  2020-03-28   \n",
       "\n",
       "       Día Semana Semana      Mes   Año   Población               Centro  \\\n",
       "237526     Sábado      6  Febrero  2020  Las Condes  Sucursal Huechuraba   \n",
       "237527     Sábado     13    Marzo  2020  Las Condes  Sucursal Huechuraba   \n",
       "\n",
       "         Cliente  Cluster            Segmento.1 Categoría Cliente  \\\n",
       "237526  76861617  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "237527  76861617  Clásico  Cobertura Pequeno SD     Emprendedores   \n",
       "\n",
       "       Año Creación Material Favorito Frecuencia Historica Mes_num  Recency  \\\n",
       "237526         2020           1020253                    7       2   0 days   \n",
       "237527         2020           1020253                    7       3  49 days   \n",
       "\n",
       "        Recency días  \n",
       "237526             0  \n",
       "237527            49  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_i_R[data_i_R.Cliente=='76861617']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "67cbec5b",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
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       "      <th>Material (Nombre)</th>\n",
       "      <th>Kilos Venta KG</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>506488</th>\n",
       "      <td>1020253(Pierna Pulpa 57)</td>\n",
       "      <td>22</td>\n",
       "      <td>2900</td>\n",
       "      <td>76861617</td>\n",
       "      <td>2021-03-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631841</th>\n",
       "      <td>1020010(Pierna Pulpa 59)</td>\n",
       "      <td>87</td>\n",
       "      <td>1950</td>\n",
       "      <td>76861617</td>\n",
       "      <td>2021-08-21</td>\n",
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       "    <tr>\n",
       "      <th>843943</th>\n",
       "      <td>1010002(Con Menudencia &gt;2.130)</td>\n",
       "      <td>16</td>\n",
       "      <td>1390</td>\n",
       "      <td>76861617</td>\n",
       "      <td>2021-04-10</td>\n",
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      ],
      "text/plain": [
       "                     Material (Nombre)  Kilos Venta KG  Precio   Cliente  \\\n",
       "506488        1020253(Pierna Pulpa 57)              22    2900  76861617   \n",
       "631841        1020010(Pierna Pulpa 59)              87    1950  76861617   \n",
       "843943  1010002(Con Menudencia >2.130)              16    1390  76861617   \n",
       "\n",
       "       Día natural  \n",
       "506488  2021-03-20  \n",
       "631841  2021-08-21  \n",
       "843943  2021-04-10  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[(data.Cliente=='76861617')&(data.Año==2021)][Dic_col['Base']+['Día natural']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a1e339a",
   "metadata": {
    "heading_collapsed": true,
    "hidden": true
   },
   "source": [
    "###### otro "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "37b61a57",
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cliente</th>\n",
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       "  <tbody>\n",
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       "      <td>2021-05-10</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11263733</td>\n",
       "      <td>2021-10-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11437928</td>\n",
       "      <td>2021-09-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11566484</td>\n",
       "      <td>2021-08-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11862820</td>\n",
       "      <td>2020-09-12</td>\n",
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      ],
      "text/plain": [
       "    Cliente Día natural\n",
       "0  10537676  2021-05-10\n",
       "1  11263733  2021-10-23\n",
       "2  11437928  2021-09-01\n",
       "3  11566484  2021-08-23\n",
       "4  11862820  2020-09-12"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Cliente','Día natural']].groupby('Cliente').max().reset_index().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "d30b663b",
   "metadata": {
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       "      <td>24.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>80.50</td>\n",
       "      <td>157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9994800</th>\n",
       "      <td>3.0</td>\n",
       "      <td>65.333333</td>\n",
       "      <td>95.552778</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.5</td>\n",
       "      <td>21.0</td>\n",
       "      <td>98.00</td>\n",
       "      <td>175.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997223</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5073 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Recency días                                                     \n",
       "                count       mean        std  min   25%   50%    75%    max\n",
       "Cliente                                                                   \n",
       "10003742          1.0   0.000000        NaN  0.0   0.0   0.0   0.00    0.0\n",
       "10007508        208.0   6.418269   7.085609  0.0   2.0   5.0   7.00   42.0\n",
       "10017269         78.0  17.500000   8.773854  0.0  14.0  14.0  21.00   49.0\n",
       "10023880         20.0  49.300000  82.268559  0.0   7.0  22.5  57.75  357.0\n",
       "10028999         13.0  53.000000  33.266600  0.0  35.0  49.0  63.00  136.0\n",
       "...               ...        ...        ...  ...   ...   ...    ...    ...\n",
       "9992154          70.0  15.000000  20.255613  0.0   5.0   7.0  17.75  112.0\n",
       "9993925         543.0   2.565378   1.298189  0.0   2.0   2.0   3.00   14.0\n",
       "9994662          11.0  55.636364  44.913857  0.0  24.0  39.0  80.50  157.0\n",
       "9994800           3.0  65.333333  95.552778  0.0  10.5  21.0  98.00  175.0\n",
       "9997223           1.0   0.000000        NaN  0.0   0.0   0.0   0.00    0.0\n",
       "\n",
       "[5073 rows x 8 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_G=data_i_R[['Cliente','Recency días']].groupby('Cliente').describe()\n",
    "df_G"
   ]
  }
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