在Python 3.6.2中计算csv文件的总和

Question

I am using Python 3.6.2 and have a csv file that looks like this:

STATE,RATE,DEATHS
IA,4.2,166
NH,4.2,52
MA,4.3,309
CA,4.4,"2,169"
CO,4.6,309
ID,4.6,106
NY,4.6,"1,087"
VT,4.6,27
NJ,4.7,487
WA,4.9,432

I am trying to calculate the sum of the "RATE" column. However, with my current code below I keep getting the error: "TypeError: 'float' object is not iterable". I am fairly new to Python and am not sure what I'm doing wrong.

import csv
with open('infant_mortality.csv', 'r') as f:
  next(f) #skips the first row
  for row in csv.reader(f):
    total = sum(float(row[1]))
  print('The total is {}'.format(total))

Thanks for the help!

Answer 1

How about:

import pandas as pd

df = pd.read_csv('infant_mortality.csv')

print('The total is {}'.format(df['RATE'].sum()))

Answer 2

You're usin sum() which requires an iterable like a list, simply add a starting value to total and then sum all values to total with total += value

import csv
with open('infant_mortality.csv', 'r') as f:
  next(f) #skips the first row
  total = 0
  for row in csv.reader(f):
    total += float(row[1])
  print('The total is {}'.format(total))

Answer 3

sum() expect a iterable object, but when you write sum(float(row[1])) , row[1] is a single value, not iterable like a list (the 'row' list in your case)

From python docs

sum(iterable[, start])

Sums start and the items of an iterable from left to right and returns the total. start defaults to 0. The iterable's items are normally numbers, and the start value is not allowed to be a string.

Example of use sum()

list_number = [2,3,5]
print sum(list_number)
10

Maybe the code bellow can help you.

import csv
total = 0
with open('infant_mortality.csv', 'r') as f:
  next(f) #skips the first row
  for row in csv.reader(f):
    total += float(row[1])
  print('The total is {}'.format(total))