Issuer analytics¶
Compute the top issuers by number of BINs across the whole database.
from collections import Counter
from smartbindb import SmartBinDB
db = SmartBinDB()
counter = Counter()
for entries in db.COUNTRY_DATA.values():
for entry in entries:
issuer = (entry.get("issuer") or "").strip()
if issuer:
counter[issuer] += 1
for issuer, count in counter.most_common(25):
print(f"{count:6d} {issuer}")
Top brands¶
from collections import Counter
from smartbindb import SmartBinDB
db = SmartBinDB()
brands = Counter()
for entries in db.COUNTRY_DATA.values():
for entry in entries:
brand = (entry.get("brand") or "").upper()
if brand:
brands[brand] += 1
for brand, count in brands.most_common():
print(brand, count)