from collections import OrderedDict from datetime import datetime as dt wordy = OrderedDict() with open ( 'google.txt', 'r' ) as fp: for l in fp: c = l[:-1] key = c.split()[2] value = c.split()[0].split('T')[1] if key in wordy: format = '%H:%M' strtime = dt.strptime(wordy[key],format) endtime = dt.strptime(value, format) diff = endtime - strtime del wordy[key] key = key.lower() wordy[key] = diff wordy[key] = value numItems = 0 total_mins = 0 for key, value in wordy.items(): # ignore uppercase keys - they have no end-time partner if not key.isupper(): t = value.split ( ':' ) total_mins = total_mins + int ( t[0] ) * 60 + int ( t[1] ) numItems += 1 avgTime = total_mins / numItems print ( "Average runtime of all operations:", round (avgTime, 2), " minutes.")
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