From 6b0bc5daf2595f235a5472a7e0d90ecc96639c6f Mon Sep 17 00:00:00 2001
From: Jennifer Grisales Casadiegos <grisalesj@jupyterMiLAB>
Date: Mon, 8 Feb 2021 21:02:31 -0500
Subject: [PATCH] Ejercicio 3 sin comentar
---
.../ejercicio3-checkpoint.ipynb | 367 +++++++++++++----
ejercicio3.ipynb | 369 ++++++++++++++----
2 files changed, 597 insertions(+), 139 deletions(-)
diff --git a/.ipynb_checkpoints/ejercicio3-checkpoint.ipynb b/.ipynb_checkpoints/ejercicio3-checkpoint.ipynb
index 8fdfdde..4907b23 100644
--- a/.ipynb_checkpoints/ejercicio3-checkpoint.ipynb
+++ b/.ipynb_checkpoints/ejercicio3-checkpoint.ipynb
@@ -2,9 +2,20 @@
"cells": [
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'\\n@author: jennifer\\n\\nEste programa entrega los números de una fila del\\ntriángulo de Pascal.\\n'"
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"#!/usr/bin/env python3\n",
"# -*- coding: utf-8 -*-\n",
@@ -55,7 +66,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
@@ -81,115 +92,217 @@
" \"sirias\": {\"Nombre\":\"Siria\",\"Apellido\":\"Sadeddin\",\"Edad\":30,\"PaÃs\": \"Venezuela\",\n",
" \"Ciudad\": \"Colombia\",\"Institución\": \"Universidad Simón Bolivar\", \"Hobbie\": \"Data Science\", \"Tipo\": \"Estudiante\"},\n",
" \"teofilo\": {\"Nombre\":\"Teofilo\",\"Apellido\":\"Vargas\",\"Edad\":54,\"PaÃs\": \"Perú\",\n",
- " \"Ciudad\": \"Lima\",\"Institución\": \"Universidad Nacional Mayor de San Marcos\", \"Hobbie\": \"Wing Chun Kuen\", \"Tipo\": \"Profesor\"},\n",
- " \"sirias\": {\"Nombre\":\"Siria\",\"Apellido\":\"Sadeddin\",\"Edad\":30,\"PaÃs\": \"Venezuela\",\n",
- " \"Ciudad\": \"Colombia\",\"Institución\": \"Universidad Simón Bolivar\", \"Hobbie\": \"Data Science\", \"Tipo\": \"Profesor\"}}"
+ " \"Ciudad\": \"Lima\",\"Institución\": \"Universidad Nacional Mayor de San Marcos\", \"Hobbie\": \"Wing Chun Kuen\", \"Tipo\": \"Profesor\"}\n",
+ " }\n"
]
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'Perú'"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "compas[\"teofilo\"][\"PaÃs\"]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Promediar edades"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import statistics as st"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Pais: Colombia\n",
- "Pais: Colombia\n",
- "Pais: Perú\n",
- "Pais: Colombia\n",
- "Pais: Colombia\n",
- "Pais: Venezuela\n",
- "Pais: Venezuela\n",
- "Pais: Colombia\n",
- "Pais: Colombia\n",
- "Pais: Venezuela\n",
- "Pais: Perú\n"
+ "[29, 23, 25, 25, 24, 22, 27, 24, 20, 30, 54]\n"
]
}
],
"source": [
+ "edades = []\n",
"for item in compas:\n",
- "# print('Nombre:',compas[item][\"Nombre\"])\n",
- " print('Pais:',compas[item][\"PaÃs\"])"
+ " value = compas[item][\"Edad\"]\n",
+ " edades.append(value)\n",
+ "print(edades)"
]
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "27.545454545454547"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "st.mean(edades)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Mostrar las instituciones sin repetición"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['Universidad Nacional de Colombia', 'Universidad Nacional de Colombia', 'Universidad Nacional de IngenierÃa', 'Universidad Nacional de Colombia', 'Universidad Nacional de Colombia', 'Universidad Central de Venezuela', 'Universidad Simón Bolivar', 'Universidad Nacional de Colombia', 'Universidad del Valle', 'Universidad Simón Bolivar', 'Universidad Nacional Mayor de San Marcos']\n"
+ ]
+ }
+ ],
+ "source": [
+ "univer = []\n",
+ "for item in compas:\n",
+ " value = compas[item][\"Institución\"]\n",
+ " univer.append(value)\n",
+ "print(univer)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['Universidad Nacional de Colombia', 'Universidad Nacional de IngenierÃa', 'Universidad Central de Venezuela', 'Universidad Simón Bolivar', 'Universidad del Valle', 'Universidad Nacional Mayor de San Marcos']\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Eliminar elementos repetidos de la lista de Institutos\n",
+ "InstitutoT = [] \n",
+ "for i in univer: \n",
+ " if i not in InstitutoT: \n",
+ " InstitutoT.append(i) \n",
+ " \n",
+ "print(InstitutoT)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Tabular datos por paÃs común"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
- "# Create a nested dictionary\n",
- "courses={ 'bash': {'classes': 10, 'hours': 2, 'fee': 500},\n",
- " 'PHP': {'classes': 30, 'hours': 2, 'fee': 1500},\n",
- " 'Angular': {'classes': 10, 'hours': 2, 'fee': 1000}}"
+ "from tabulate import _table_formats, tabulate"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
+ "outputs": [],
+ "source": [
+ "country = \"Perú\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Course Name: bash\n",
- "Total classes: 10\n",
- "Hours: 2\n",
- "Fee: $ 500\n",
- "Course Name: PHP\n",
- "Total classes: 30\n",
- "Hours: 2\n",
- "Fee: $ 1500\n",
- "Course Name: Angular\n",
- "Total classes: 10\n",
- "Hours: 2\n",
- "Fee: $ 1000\n"
+ "['omarasto', 'teofilo']\n"
]
}
],
"source": [
- "# Print the keys and values of the dictionary\n",
- "for course in courses:\n",
- " print('Course Name:',course)\n",
- " print('Total classes:',courses[course]['classes'])\n",
- " print('Hours:',courses[course]['hours'])\n",
- " print('Fee: $',courses[course]['fee'])"
+ "order = {}\n",
+ "keys = []\n",
+ "values = []\n",
+ "for item in compas:\n",
+ " if compas[item][\"PaÃs\"]== country:\n",
+ " keys.append(item)\n",
+ "print(keys)"
]
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 31,
"metadata": {},
"outputs": [
{
- "ename": "KeyError",
- "evalue": "'Apellido'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-18-c2695fec8d9c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcompas\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Apellido\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m: 'Apellido'"
- ]
+ "data": {
+ "text/plain": [
+ "'Colombia'"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
- "source": []
+ "source": [
+ "compas[\"perezy\"][\"PaÃs\"]"
+ ]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
- "def congueros(dicci,country):\n",
- " for item in compas:\n",
- "# print('Nombre:',compas[item][\"Nombre\"])\n",
- " print('Pais:',compas[item][\"PaÃs\"])\n",
- " "
+ "Nombre = []\n",
+ "Apellido = []\n",
+ "Edad = []\n",
+ "Instituto = []\n",
+ "Hobbie = []"
]
},
{
@@ -201,19 +314,135 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]\n"
+ "['Omar', 'Teofilo']\n"
]
}
],
"source": [
- "newlist = []\n",
- "for x in range(10):\n",
- " innerlist = []\n",
- " for y in range(10):\n",
- " innerlist.append(y)\n",
- " newlist.append(innerlist)\n",
- "\n",
- "print(newlist)"
+ "for word in keys:\n",
+ " element = compas[word][\"Nombre\"]\n",
+ " Nombre.append(element)\n",
+ "print(Nombre)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "elements = [\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[['Omar', 'Asto', 25, 'Universidad Nacional de IngenierÃa', 'Leer periódico'], ['Teofilo', 'Vargas', 54, 'Universidad Nacional Mayor de San Marcos', 'Wing Chun Kuen']]\n"
+ ]
+ }
+ ],
+ "source": [
+ "user = []\n",
+ "details = []\n",
+ "for word2 in keys:\n",
+ " for word in elements:\n",
+ " element = compas[word2][word]\n",
+ " details.append(element)\n",
+ " user.append(details)\n",
+ " details = []\n",
+ "print(user)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Nombre Apellido Edad Institución Hobbie\n",
+ "-------- ---------- ------ ---------------------------------------- --------------\n",
+ "Omar Asto 25 Universidad Nacional de IngenierÃa Leer periódico\n",
+ "Teofilo Vargas 54 Universidad Nacional Mayor de San Marcos Wing Chun Kuen\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(tabulate(user, headers=[\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Crearé la función"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def congueros(dic,country):\n",
+ " from tabulate import _table_formats, tabulate\n",
+ " #\n",
+ " keys = []\n",
+ " values = []\n",
+ " for item in dic:\n",
+ " if dic[item][\"PaÃs\"]== country:\n",
+ " keys.append(item)\n",
+ "#\n",
+ " Nombre = []\n",
+ " Apellido = []\n",
+ " Edad = []\n",
+ " Instituto = []\n",
+ " Hobbie = []\n",
+ "#\n",
+ " for word in keys:\n",
+ " element = dic[word][\"Nombre\"]\n",
+ " Nombre.append(element)\n",
+ "#\n",
+ " elements = [\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]\n",
+ "#\n",
+ " user = []\n",
+ " details = []\n",
+ " for word2 in keys:\n",
+ " for word in elements:\n",
+ " element = dic[word2][word]\n",
+ " details.append(element)\n",
+ " user.append(details)\n",
+ " details = []\n",
+ "#\n",
+ " print(tabulate(user, headers=[\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]))\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Nombre Apellido Edad Institución Hobbie\n",
+ "-------- ---------- ------ ---------------------------------------- --------------\n",
+ "Omar Asto 25 Universidad Nacional de IngenierÃa Leer periódico\n",
+ "Teofilo Vargas 54 Universidad Nacional Mayor de San Marcos Wing Chun Kuen\n"
+ ]
+ }
+ ],
+ "source": [
+ "congueros(compas,\"Perú\")"
]
},
{
diff --git a/ejercicio3.ipynb b/ejercicio3.ipynb
index e82692d..4907b23 100644
--- a/ejercicio3.ipynb
+++ b/ejercicio3.ipynb
@@ -2,9 +2,20 @@
"cells": [
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 1,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'\\n@author: jennifer\\n\\nEste programa entrega los números de una fila del\\ntriángulo de Pascal.\\n'"
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"#!/usr/bin/env python3\n",
"# -*- coding: utf-8 -*-\n",
@@ -55,7 +66,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
@@ -81,115 +92,217 @@
" \"sirias\": {\"Nombre\":\"Siria\",\"Apellido\":\"Sadeddin\",\"Edad\":30,\"PaÃs\": \"Venezuela\",\n",
" \"Ciudad\": \"Colombia\",\"Institución\": \"Universidad Simón Bolivar\", \"Hobbie\": \"Data Science\", \"Tipo\": \"Estudiante\"},\n",
" \"teofilo\": {\"Nombre\":\"Teofilo\",\"Apellido\":\"Vargas\",\"Edad\":54,\"PaÃs\": \"Perú\",\n",
- " \"Ciudad\": \"Lima\",\"Institución\": \"Universidad Nacional Mayor de San Marcos\", \"Hobbie\": \"Wing Chun Kuen\", \"Tipo\": \"Profesor\"},\n",
- " \"sirias\": {\"Nombre\":\"Siria\",\"Apellido\":\"Sadeddin\",\"Edad\":30,\"PaÃs\": \"Venezuela\",\n",
- " \"Ciudad\": \"Colombia\",\"Institución\": \"Universidad Simón Bolivar\", \"Hobbie\": \"Data Science\", \"Tipo\": \"Profesor\"}}"
+ " \"Ciudad\": \"Lima\",\"Institución\": \"Universidad Nacional Mayor de San Marcos\", \"Hobbie\": \"Wing Chun Kuen\", \"Tipo\": \"Profesor\"}\n",
+ " }\n"
]
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'Perú'"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "compas[\"teofilo\"][\"PaÃs\"]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Promediar edades"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import statistics as st"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Pais: Colombia\n",
- "Pais: Colombia\n",
- "Pais: Perú\n",
- "Pais: Colombia\n",
- "Pais: Colombia\n",
- "Pais: Venezuela\n",
- "Pais: Venezuela\n",
- "Pais: Colombia\n",
- "Pais: Colombia\n",
- "Pais: Venezuela\n",
- "Pais: Perú\n"
+ "[29, 23, 25, 25, 24, 22, 27, 24, 20, 30, 54]\n"
]
}
],
"source": [
+ "edades = []\n",
"for item in compas:\n",
- "# print('Nombre:',compas[item][\"Nombre\"])\n",
- " print('Pais:',compas[item][\"PaÃs\"])"
+ " value = compas[item][\"Edad\"]\n",
+ " edades.append(value)\n",
+ "print(edades)"
]
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "27.545454545454547"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "st.mean(edades)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Mostrar las instituciones sin repetición"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['Universidad Nacional de Colombia', 'Universidad Nacional de Colombia', 'Universidad Nacional de IngenierÃa', 'Universidad Nacional de Colombia', 'Universidad Nacional de Colombia', 'Universidad Central de Venezuela', 'Universidad Simón Bolivar', 'Universidad Nacional de Colombia', 'Universidad del Valle', 'Universidad Simón Bolivar', 'Universidad Nacional Mayor de San Marcos']\n"
+ ]
+ }
+ ],
+ "source": [
+ "univer = []\n",
+ "for item in compas:\n",
+ " value = compas[item][\"Institución\"]\n",
+ " univer.append(value)\n",
+ "print(univer)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "['Universidad Nacional de Colombia', 'Universidad Nacional de IngenierÃa', 'Universidad Central de Venezuela', 'Universidad Simón Bolivar', 'Universidad del Valle', 'Universidad Nacional Mayor de San Marcos']\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Eliminar elementos repetidos de la lista de Institutos\n",
+ "InstitutoT = [] \n",
+ "for i in univer: \n",
+ " if i not in InstitutoT: \n",
+ " InstitutoT.append(i) \n",
+ " \n",
+ "print(InstitutoT)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Tabular datos por paÃs común"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
- "# Create a nested dictionary\n",
- "courses={ 'bash': {'classes': 10, 'hours': 2, 'fee': 500},\n",
- " 'PHP': {'classes': 30, 'hours': 2, 'fee': 1500},\n",
- " 'Angular': {'classes': 10, 'hours': 2, 'fee': 1000}}"
+ "from tabulate import _table_formats, tabulate"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
+ "outputs": [],
+ "source": [
+ "country = \"Perú\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Course Name: bash\n",
- "Total classes: 10\n",
- "Hours: 2\n",
- "Fee: $ 500\n",
- "Course Name: PHP\n",
- "Total classes: 30\n",
- "Hours: 2\n",
- "Fee: $ 1500\n",
- "Course Name: Angular\n",
- "Total classes: 10\n",
- "Hours: 2\n",
- "Fee: $ 1000\n"
+ "['omarasto', 'teofilo']\n"
]
}
],
"source": [
- "# Print the keys and values of the dictionary\n",
- "for course in courses:\n",
- " print('Course Name:',course)\n",
- " print('Total classes:',courses[course]['classes'])\n",
- " print('Hours:',courses[course]['hours'])\n",
- " print('Fee: $',courses[course]['fee'])"
+ "order = {}\n",
+ "keys = []\n",
+ "values = []\n",
+ "for item in compas:\n",
+ " if compas[item][\"PaÃs\"]== country:\n",
+ " keys.append(item)\n",
+ "print(keys)"
]
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 31,
"metadata": {},
"outputs": [
{
- "ename": "KeyError",
- "evalue": "'Apellido'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-18-c2695fec8d9c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcompas\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Apellido\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m: 'Apellido'"
- ]
+ "data": {
+ "text/plain": [
+ "'Colombia'"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
}
],
- "source": []
+ "source": [
+ "compas[\"perezy\"][\"PaÃs\"]"
+ ]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
- "def congueros(dicci,country):\n",
- " for item in compas:\n",
- "# print('Nombre:',compas[item][\"Nombre\"])\n",
- " print('Pais:',compas[item][\"PaÃs\"])\n",
- " "
+ "Nombre = []\n",
+ "Apellido = []\n",
+ "Edad = []\n",
+ "Instituto = []\n",
+ "Hobbie = []"
]
},
{
@@ -201,19 +314,135 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]\n"
+ "['Omar', 'Teofilo']\n"
]
}
],
"source": [
- "newlist = []\n",
- "for x in range(10):\n",
- " innerlist = []\n",
- " for y in range(10):\n",
- " innerlist.append(y)\n",
- " newlist.append(innerlist)\n",
- "\n",
- "print(newlist)"
+ "for word in keys:\n",
+ " element = compas[word][\"Nombre\"]\n",
+ " Nombre.append(element)\n",
+ "print(Nombre)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "elements = [\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[['Omar', 'Asto', 25, 'Universidad Nacional de IngenierÃa', 'Leer periódico'], ['Teofilo', 'Vargas', 54, 'Universidad Nacional Mayor de San Marcos', 'Wing Chun Kuen']]\n"
+ ]
+ }
+ ],
+ "source": [
+ "user = []\n",
+ "details = []\n",
+ "for word2 in keys:\n",
+ " for word in elements:\n",
+ " element = compas[word2][word]\n",
+ " details.append(element)\n",
+ " user.append(details)\n",
+ " details = []\n",
+ "print(user)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Nombre Apellido Edad Institución Hobbie\n",
+ "-------- ---------- ------ ---------------------------------------- --------------\n",
+ "Omar Asto 25 Universidad Nacional de IngenierÃa Leer periódico\n",
+ "Teofilo Vargas 54 Universidad Nacional Mayor de San Marcos Wing Chun Kuen\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(tabulate(user, headers=[\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Crearé la función"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def congueros(dic,country):\n",
+ " from tabulate import _table_formats, tabulate\n",
+ " #\n",
+ " keys = []\n",
+ " values = []\n",
+ " for item in dic:\n",
+ " if dic[item][\"PaÃs\"]== country:\n",
+ " keys.append(item)\n",
+ "#\n",
+ " Nombre = []\n",
+ " Apellido = []\n",
+ " Edad = []\n",
+ " Instituto = []\n",
+ " Hobbie = []\n",
+ "#\n",
+ " for word in keys:\n",
+ " element = dic[word][\"Nombre\"]\n",
+ " Nombre.append(element)\n",
+ "#\n",
+ " elements = [\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]\n",
+ "#\n",
+ " user = []\n",
+ " details = []\n",
+ " for word2 in keys:\n",
+ " for word in elements:\n",
+ " element = dic[word2][word]\n",
+ " details.append(element)\n",
+ " user.append(details)\n",
+ " details = []\n",
+ "#\n",
+ " print(tabulate(user, headers=[\"Nombre\", \"Apellido\", \"Edad\", \"Institución\", \"Hobbie\"]))\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Nombre Apellido Edad Institución Hobbie\n",
+ "-------- ---------- ------ ---------------------------------------- --------------\n",
+ "Omar Asto 25 Universidad Nacional de IngenierÃa Leer periódico\n",
+ "Teofilo Vargas 54 Universidad Nacional Mayor de San Marcos Wing Chun Kuen\n"
+ ]
+ }
+ ],
+ "source": [
+ "congueros(compas,\"Perú\")"
]
},
{
@@ -247,7 +476,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.5"
+ "version": "3.7.3"
}
},
"nbformat": 4,
--
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