Is there an elegant, Pythonic way to count processed data?

Question

I often have time consuming processing steps that occur within a loop. The following method is how I keep track of where the processing is at. Is there a more elegant, Pythonic way of counting processing data while a script is running?

n_items = [x for x in range(0,100)]

counter = 1
for r in n_items:
    # Perform some time consuming task...
    print "%s of %s items have been processed" % (counter, len(n_items))
    counter = counter + 1

I don't see anything wrong with the counter approach. – bosnjak Apr 30 '15 at 22:16 — bosnjak, Apr 30 '15 at 22:16

score 5 · Accepted Answer · 2017-06-26T19:42:34.893

5

Yes, enumerate was built for this:

for i,r in enumerate(n_items,1):
    # Perform some time consuming task
    print('{} of {} items have been processed'.format(i, len(n_items)))

The second argument determines the starting value of i, which is 0 by default.

edited Jun 26 '17 at 19:42

answered Apr 30 '15 at 22:17

2

Pass 1 as second argument. – Ashwini Chaudhary Apr 30 '15 at 22:17
This is a nice alternative. The syntax should be the following: `print '{} of {} items have been processed'.format(i, len(n_items))` – Borealis May 01 '15 at 16:34
The `print` syntax I gave is mandatory in Python 3, and should also be valid in Python 2. – May 01 '15 at 16:42

Is there an elegant, Pythonic way to count processed data?

1 Answers1