python RE and list processing -

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i've file below

elapsedtime2.68s: placeorder elapsedtime2.69s: classarestcall elapsedtime0.11s: getorderlist elapsedtime0.11s: classarestcall elapsedtime2.10s: placeorder elapsedtime2.11s: classarestcall elapsedtime0.10s: getorderlist elapsedtime0.10s: classarestcall elapsedtime2.00s: placeorder elapsedtime2.01s: classarestcall elapsedtime0.28s: getorderlist elapsedtime0.28s: classarestcall elapsedtime1.64s: placeorder elapsedtime1.65s: classarestcall elapsedtime0.11s: getorderlist elapsedtime0.11s: classarestcall elapsedtime1.99s: placeorder elapsedtime2.01s: classarestcall

how can parse file result?

               average   min   max classarestcall    1.23   0.1  2.69 getorderlist      0.15   0.1  0.28 placeorder       2.082  1.64  2.68

i've developed 1 approach solve using re , list operation. approach scan whole list once every new method name.

how can stats api names scanning list once.

import re  def get_stats(n, p_api):     list_of_rt = []     line in n:         y= re.split("\s+", line)         if y[1] == p_api:              curr_rt = float(y[0][11:-2])              list_of_rt.append(curr_rt)      min_rt ,max_rt = min(list_of_rt), max(list_of_rt)     total_rt, total_cnt = sum(list_of_rt), len(list_of_rt)     print p_api, min_rt, max_rt, "%.3f" %round(total_rt/total_cnt,3), total_cnt   ifile = open('data1.txt','r').read() api_rts= re.findall(r'elapsedtime\d*.\d*s: \s*',ifile)   list_of_api_names = [] api_rt in api_rts:     y= re.split("\s+", api_rt)     list_of_api_names.append(y[1])  #get distinct list of api names  distinct_apis = set(list_of_api_names)  print 'api         min,   max,   average,  total occurences'  # each api name call get_stat  api in distinct_apis:     get_stats(api_rts ,api) 

import re  rgx = re.compile('elapsedtime(\d*\.\d*)s: (\s*)')  collections import defaultdict d = defaultdict(list)  open('data1.txt','r') f:     m in rgx.finditer(f.read()):         d[m.group(2)].append(float(m.group(1)))  lapi = max(map(len,d.iterkeys()))  print '{: ^{width}}   min    max    average   total occurences'.format('api',width=lapi) pat = '{0:%d}   {1:.2f}   {2:.2f}   {3:.3f}     {4}' % lapi print '\n'.join(pat.format(api,min(li),max(li),sum(li)/len(li),len(li))                 api,li in d.iteritems())

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