Ejercicio importado del Jupyter Hub

1d3334a7 · Carla Elena Gomez Alvarado · 284851ea · 1d3334a7
Commit 1d3334a7 authored 4 years ago by Carla Elena Gomez Alvarado
--- a/Ejercicio3.ipynb
+++ b/Ejercicio3.ipynb
+{
+ "cells": [
+  {
+   "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": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_info_by_country(country):\n",
+    "    #print con formato\n",
+    "    print (\"{:<15} {:<20} {:<10} {:<10} {:<15} {:<25} {:<40} {:<10}\".format('Name', 'Last Name', 'Age', 'Country', 'City', 'Field', 'Institution', 'Hobby')) \n",
+    "    for username in compas:\n",
+    "        data_info = compas[username]\n",
+    "        if data_info[\"country\"] == country:\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": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
+%% Cell type:code id: tags:
+``` python
+#importar librerias a usar
+import csv, json
+#En esta variable se guardan todas las filas del CSV
+compas = {}
+#previamente he cargado el archivo cega_tarea_2.csv en el directorio del pwd
+FILE_NAME = 'cega_tarea_2.csv'
+#Indices para cada columna
+USERNAME = 0
+NAME = 1
+LASTNAME = 2
+AGE = 3
+COUNTRY = 4
+CITY = 5
+FIELD = 6
+INSTITUTION = 7
+HOBBY = 8
+```
+%% Cell type:code id: tags:
+``` python
+#Funcion para leer un archivo
+def read_file():
+    #Abre el archivo .csv
+    with open(FILE_NAME) as csv_file:
+        csv_reader = csv.reader(csv_file, delimiter=',')
+            #Saltarse los encabezados de las columnas
+        header = True
+         #Para cada fila del archivo .csv
+        for row in csv_reader:
+            if not header:
+                compas[row[USERNAME]] = {
+                    "name" : row[NAME],
+                    "lastname" : row[LASTNAME],
+                    "age" : row[AGE],
+                    "country" : row[COUNTRY],
+                    "city" : row[CITY],
+                    "field" : row[FIELD],
+                    "institution" : row[INSTITUTION],
+                    "hobby" : row[HOBBY],
+                }
+            else:
+                header = False
+```
+%% Cell type:code id: tags:
+``` python
+# Funcion principal
+def main():
+    read_file()
+    print('--------------------------')
+    get_info_by_country('Colombia')
+    print('--------------------------')
+    print(f'Age avg: {get_age_avg()}')
+    print('--------------------------')
+    print(f'Institutions: {get_institutions()}')
+```
+%% Cell type:code id: tags:
+``` python
+def get_info_by_country(country):
+    #print con formato
+    print ("{:<15} {:<20} {:<10} {:<10} {:<15} {:<25} {:<40} {:<10}".format('Name', 'Last Name', 'Age', 'Country', 'City', 'Field', 'Institution', 'Hobby'))
+    for username in compas:
+        data_info = compas[username]
+        if data_info["country"] == country:
+            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 id: tags:
+``` python
+def get_age_avg():
+    if len(compas) == 0:
+        return 0
+    ages_sum = 0
+    for username in compas:
+        ages_sum += int(compas[username]["age"])
+    return ages_sum / len(compas)
+```
+%% Cell type:code id: tags:
+``` python
+def get_institutions():
+    institutions = set()
+    for username in compas:
+        institutions.add(compas[username]["institution"])
+    return institutions
+```
+%% Cell type:code id: tags:
+``` python
+```