Este archivo es la version final del ejercicio 3.

Ejercicio3_final.ipynb

+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nombre: Carla Gomez\n",
+    "Estudiante Lic. Física\n",
+    "Universidad Simón Bolívar\n",
+    "Caracas, Venezuela\n",
+    "\n",
+    "**Ejercicio 3: Amigos Congeros**\n",
+    "\n",
+    "La solución se plantea en una serie de funciones, y para efectos de facilidad en el manejo de la data se unió toda en un .csv, y se asignaron índices para las columnas.  \n",
+    "Las funcines para el Ejercicio planteado fueron:  \n",
+    "*read_file : para leer el archivo .csv con la información.  \n",
+    "*main:  es la función que llama a todas las demás. \n",
+    "*get_info_by_country: De acuerdo a un pais ingresado, imprime todos los datos de compas en ese pais, organizados con formato.  \n",
+    "*get_age_avg: saca el promedio de las edades por pais  \n",
+    "*get_intitutions: imprime todas las instituciones por pais.  \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#importar librerias a usar \n",
+    "\n",
+    "import csv, json\n",
+    "\n",
+    "#En esta variable se guardan todas las filas del CSV\n",
+    "compas = {}\n",
+    "\n",
+    "#previamente he cargado el archivo cega_tarea_2.csv en el directorio del pwd \n",
+    "\n",
+    "FILE_NAME = 'cega_tarea_2.csv'\n",
+    "\n",
+    "#Indices para cada columna\n",
+    "USERNAME = 0\n",
+    "NAME = 1\n",
+    "LASTNAME = 2\n",
+    "AGE = 3\n",
+    "COUNTRY = 4\n",
+    "CITY = 5\n",
+    "FIELD = 6\n",
+    "INSTITUTION = 7\n",
+    "HOBBY = 8\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Funcion para leer un archivo\n",
+    "def read_file():\n",
+    "    #Abre el archivo .csv\n",
+    "    with open(FILE_NAME) as csv_file:\n",
+    "        csv_reader = csv.reader(csv_file, delimiter=',')\n",
+    "            #Saltarse los encabezados de las columnas\n",
+    "        header = True\n",
+    "         #Para cada fila del archivo .csv\n",
+    "        for row in csv_reader:\n",
+    "            if not header:\n",
+    "                compas[row[USERNAME]] = {\n",
+    "                    \"name\" : row[NAME],\n",
+    "                    \"lastname\" : row[LASTNAME],\n",
+    "                    \"age\" : row[AGE],\n",
+    "                    \"country\" : row[COUNTRY],\n",
+    "                    \"city\" : row[CITY],\n",
+    "                    \"field\" : row[FIELD],\n",
+    "                    \"institution\" : row[INSTITUTION],\n",
+    "                    \"hobby\" : row[HOBBY],\n",
+    "                }\n",
+    "            else:\n",
+    "                header = False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Funcion principal\n",
+    "def main():\n",
+    "    read_file()\n",
+    "    print('--------------------------')\n",
+    "    get_info_by_country('Colombia')\n",
+    "    print('--------------------------')\n",
+    "    print(f'Age avg: {get_age_avg()}')\n",
+    "    print('--------------------------')\n",
+    "    print(f'Institutions: {get_institutions()}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_info_by_country(country):\n",
+    "    #Encabezados\n",
+    "    print (\"{:<15} {:<20} {:<10} {:<10} {:<15} {:<25} {:<40} {:<10}\".format('Nombre', 'Apellido', 'Edad', 'Pais', 'Ciudad', 'Rama', 'Institucion', 'Hobby')) \n",
+    "    for username in compas:\n",
+    "        data_info = compas[username]\n",
+    "        if data_info[\"country\"] == country:\n",
+    "            #Imprime la informacion por cada fila encontrada\n",
+    "            print (\"{:<15} {:<20} {:<10} {:<10} {:<15} {:<25} {:<40} {:<10}\".format(data_info[\"name\"], data_info[\"lastname\"], data_info[\"age\"], data_info[\"country\"], data_info[\"city\"], data_info[\"field\"], data_info[\"institution\"], data_info[\"hobby\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_age_avg():\n",
+    "    if len(compas) == 0:\n",
+    "        return 0\n",
+    "    ages_sum = 0\n",
+    "    for username in compas:\n",
+    "        ages_sum += int(compas[username][\"age\"])\n",
+    "\n",
+    "    return ages_sum / len(compas)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_institutions():\n",
+    "    institutions = set()\n",
+    "    for username in compas:\n",
+    "        institutions.add(compas[username][\"institution\"])\n",
+    "    \n",
+    "    return institutions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Estas lineas son para ejecución en terminal. Aca en el Jupyter hub dan error por la forma del archivo .csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#if __name__ == \"__main__\":\n",
+    "    #main()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
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+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
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