Python: How to sum a column in a CSV file while skipping the header row - python-3.x

Question

Trying to sum a column in a csv file that has a header row at the top. I'm trying to use this for loop but it's just return zero. Any thoughts?
CSVFile = open('Data103.csv')
CSVReader = csv.reader(CSVFile) #you don't pass a file name directly to csv.reader
CSVDataList = list(CSVReader) #stores the csv file as a list of lists
print(CSVDataList[0][16])
total = 0
for row in CSVReader:
if CSVReader.line_num == 1:
continue
total += int(row[16])
print (total)
Here is what the data sample looks like in txt:
Value,Value,Value, "15,500.05", 00.00, 00.00
So the items are deliminted by , except in the case where they need an escape then it's "". It's a pretty standard file with a header row and about 1k lines of data across 18 columns.

Answer 1

You might want to use Pandas.
import pandas as pd
df = pd.read_csv('/path/to/file.csv')
column_sum = df['column_name'].sum()

Answer 2

It seems that you've over-indented the line that does the sum. It should be like this:
for row in CSVReader:
if CSVReader.line_num == 1:
continue
total += int(row[16])
Otherwise you'll only sum the values for the first row, which is exactly the one you want to skip.
EDIT:
Since you said the previous change doesn't work, I'd suggest working with the excellent Python lib called rows.
With the following CSV (fruits.csv):
id,name,amount
1,apple,3
2,banana,6
3,pineapple,2
4,lemon,5
You can access columns directly by their name instead of their index:
import rows
data = rows.import_from_csv('fruits.csv')
for fruit_data in data:
print(fruit_data.name, fruit_data.amount)
# output:
# apple 3
# banana 6
# pineapple 2
# lemon 5
NEW EDIT:
After you've provided the data, I believe in your case you could do something like:
import rows
data = rows.import_from_csv('Data103.csv')
print(data.field_names[16]) # prints the field name
total = 0
for row in data:
value = row.<column_name>
value = value.replace(',', '') # remove commas
total += float(value)
print (total)