regex - python pandas use map with regular expressions -

i have dict:

dealer = {     'esselunga': 'spesa',     'decathlon 00000120': 'sport',     'leroy merlin': 'casa',     'conad 8429': 'spesa',     'ikea': 'casa',     'f.lli madaffari': 'spesa',     'supermercato il gigant': 'spesa',     'naturasi spa': 'spesa',     'esselunga settimo milane': 'spesa' } 

and want map pandas df:

entries.categoria = entries.commerciante.map(dealer) 

is there way use regex match map on "commerciante" column? in way can rewrite dealer this:

dealer = {     'esselunga': 'spesa',     'decathlon': 'sport',     'leroy merlin': 'casa',     'conad': 'spesa',     'ikea': 'casa',     'f.lli madaffari': 'spesa',     'supermercato il gigant': 'spesa',     'naturasi spa': 'spesa',     'esselunga settimo milane': 'spesa' } 

and match both "decathlon" , "decathlon 00000120"

thank of you. used suggestions resolve problem. defined new function:

def dealer_replace(dealer_dict, text):      regex = re.compile("(%s)" % "|".join(map(re.escape, dealer_dict.keys())))      if regex.search(text):         ret = regex.search(text)         return dealer_dict[ret.group()]     else:         return none 

and use apply

entries['categoria'] = entries['commerciante'].apply(lambda v: dealer_replace(dealer, str(v)))