Playgrounds: Lee un CSV para calcular el total de gastos

Aporto mi solución:

def read_csv(path):
   with open(path, 'r') as csvfile:      
      total = sum(int(r[1]) for r in csv.reader(csvfile))
      return total

response = read_csv('./data.csv')
print(response)

Hola, dejo una solución utilizando la función de orden superior reduce:

import csv
import functools

def read_csv(path):
   # Tu código aquí 👇
   with open(path) as csvfile:
      reader = csv.reader(csvfile, delimiter=',')
      data = list()
      for line in reader:
         data.append(int(line[1]))
   total = functools.reduce(lambda x,y: x+y, data)
   return total

response = read_csv('./data.csv')
print(response)

Mi solución, creo que queda más eficiente haciendo la lógica de la suma directamente en vez de convertir los datos a lista para después usar la función ya incluida

import csv

def read_csv(path):
   sum = 0
   with open(path, 'r') as csvfile:
      reader = csv.reader(csvfile)
      for data_set in reader:
         sum += int(data_set[1])
   return sum
   
sum_csv = read_csv('./data.csv')
print(sum_csv)

Espero que les sirva:

import csv

def read_csv(path):
   with open(path, 'r') as csvfile:
      reader = csv.reader(csvfile, delimiter= ",")
      dic = { j: k for j,k in reader}
      total = 0
      for valor in dic.values():
         total += int(valor)
      
      return int(total)
response = read_csv('./data.csv')
print(response)

Aqui es donde se pone bueno todo esto, las diferentes respuestas de todos ustedes me molan

Aquí les comparto mi solución:

import csv

def read_csv(path):
   with open(path, 'r') as csvfile:
      reader = csv.reader(csvfile, delimiter=',')
      total = [int(row[1]) for row in reader]
   return sum(total)

response = read_csv('./data.csv')
print(response)

Aqui mi solucion al reto:

def read_csv(path):
   total = 0
   with open(path, 'r', encoding='utf-8') as f:
      data = csv.reader(f)
      for _, val in data:
         total += int(val)

   return total

my solucion

import csv

def read_csv(path):
   # Tu código aquí 👇
   with open (path,"r") as csvfile:
      reader = csv.reader(csvfile,delimiter=",") 
      total_num=[]        
      for row in reader:     
         total_num.append(int(row[1]))  
        
     
   total= sum(total_num)     
   
   return total

response = read_csv('./data.csv')
print(response)

Este ejercicio me pareció perfecto para aplicar la función reduce aprendida en clases anteriores

import csv
import functools

def read_csv(path):
   with open(path) as csvfile:
      reader = csv.reader(csvfile, delimiter = ',')
      total = functools.reduce(lambda acc, row: acc + int(row[1]), reader, 0)
      return total

response = read_csv('./data.csv')
print(response)

Aporto mi solución:

import csv

def read_csv(path):
   # Tu código aquí 👇
   total = 0
   with open(path, 'r') as csvfile:
      reader = csv.reader(csvfile, delimiter=',')
      for row in reader:
         total += int(row[1])
   return total

response = read_csv('./data.csv')
print(response)

import csv

def read_csv(path):
   # Tu código aquí 👇
   with open(path, 'r') as archivoCSV:
      archivo = csv.reader(archivoCSV, delimiter = ',')
      total = sum(int(fila[1]) for fila in archivo)
   return total

response = read_csv('./data.csv')
print(response)

Aquí mi solución. Muy complicada creo en mi opinion jejeje

import csv

def run():
    def read_csv(path):
        with open(path, "r") as file:
            reader = csv.reader(file, delimiter=",")
            dicty = {x:y for x,y in reader}
            return dicty
    dicty = read_csv("./data.csv")
    print(dicty)
    result = int(dicty["Administration"]) + int(dicty["Marketing"]) + int(dicty["Purchasing"]) + int(dicty["Human Resources"]) + int(dicty["Shipping"]) + int(dicty["IT"]) + int(dicty["Public Relations"]) + int(dicty["Sales"]) + int(dicty["Executive"]) + int(dicty["Finance"])
    print(f"El precio total es {result}") 

if __name__ == "__main__":
    run()

import csv

def read_csv(path):
   # Tu código aquí 👇
   with open(path, 'r') as csv_file:
      reader = csv.reader(csv_file)
      # print(reader)
      total = sum(int(r[1]) for r in reader)
   return total

response = read_csv('./data.csv')
print(response)

import csv

def read_csv(path):
   total = 0
   with open(path, 'r') as csvfile:
      reader = csv.reader(csvfile, delimiter=',')
      for row in reader:
         total += int(row[1])
   return total

response = read_csv('./data.csv')
print(response)

Quise ponerle un encabezado a la data del archivo csv y trabajar con ello:

import csv

def read_csv(path):
       with open(path, 'r') as csvfile:
        data = []
        for row in csvfile:
            row = row.rstrip('\n')
            columns = row.split(',')
            area = columns[0]
            expenses = int(columns[1])
            data.append({
                'Area': area,
                'Expenses': expenses
            })
            expenses = sum(list(map(lambda item: item['Expenses'], data)))
        return expenses
           
if __name__ == '__main__':
    data = read_csv('./data2.csv')
    print(data)

import csv

def read_csv(path):
   lista=[]
   with open(path,"r") as file :
      reader = csv.reader(file,delimiter = ",")
      header = ["Area", "Gasto"]
      for linea in reader:
         iterable=zip(header,linea)
         dic = {key:valor for (key,valor) in iterable}
         lista.append(dic)
   gastos = [lis["Gasto"] for lis in lista]
   gastos = list(map(lambda x : int(x),gastos))
   total = sum(gastos)
   return total

response = read_csv('./data.csv')
print(response)