Subreddit flair stats

flairstats.py

#!/usr/bin/env python
# modified from https://gist.github.com/rasher/4208507 (python 2)

import sys
from datetime import datetime
from praw import Reddit
from collections import defaultdict

r = Reddit(user_agent='flairstats/0.1 by <YOUR USERNAME>',
    client_id='<GET THESE AS DESCRIBED HERE:', client_secret='https://praw.readthedocs.io/en/latest/getting_started/quick_start.html>',
    username='<YOUR USERNAME (THE ONE YOU ARE MOD WITH)>', password='<YOUR PASSWORD>')

stats = defaultdict(int)
for item in r.subreddit('chuggaaconroy').flair():
    stats[item['flair_css_class']] += 1

for flair, count in sorted(stats.items(), key=lambda x: -x[1]):
    print("    %5d (%5.1f%%) %s" % (count, float(count*100)/sum(stats.values()), flair))

print("    %5d (100.0%%) %s" % (sum(stats.values()), "Total"))
print("*Updated %s*" % datetime.utcnow().strftime("%Y-%m-%d %H:%MZ (UTC)"))

# Example output:
#       107 ( 23.4%) steve40
#       105 ( 23.0%) bowser-anim40
#        94 ( 20.6%) stache30
#        54 ( 11.8%) princess40
#        43 (  9.4%) nest34
#        20 (  4.4%) mario
#        16 (  3.5%) rookie36
#         8 (  1.8%) bowletta35
#         8 (  1.8%) None
#         2 (  0.4%) empty
#       457 (100.0%) Total
# *Updated 2018-07-16 22:09Z (UTC)*