Question

I have the text file which contains 3 columns, first column having strings, second column having integers and 3rd column having floating points like this:

steve   134     0.000010

Harry   133 0.000012

joanne  134 0.000022

steve   135 0.000024

joanne  133 0.000045

steve   133 0.000078

joanne  133 0.000079    

joanne  133 0.000081    

joanne  136 0.000083

steve   134 0.000085

steve   135 0.000087

I want output which looks like this:

steve   134(count=2,Time interval=0.000085-0.000010),133(count=1,Time interval=0.000078-0.000000),135(count=2,Time interval=0.000087-0.000024),136(count=0, Time interval=0.000000-0.000000)

harry   134(count=0, Time interval),133(count=1, Time interval),135(count=0, Time interval),136(count=0, Time interval)

joanne  134(count=1, Time interval),133(count=3, Time interval),135(count=0, Time interval),136(count=1, Time interval) 

[Time intervals of harry and joanne is calculated in the same way as that of steve].

Basically, if i take steve, i have to calculate how many entries of 133,134,135,136 each steve has and in what time interval did 133,134,135,136 happen. I hope you guys get my query.

Answer 1

This should get you started

>>> from collections import defaultdict
>>> names = defaultdict(list)
>>> with open('f.txt') as f:
...    lines = [l.split() for l in f.readlines() if l.strip()]
...    for l in lines:
...      names[l[0]].append([l[1],l[2]])
>>> for i in names.iteritems():
...    print i
... 
('steve', [['134', '0.000010'], ['135', '0.000024'], ['133', '0.000078'], ['134', 
'0.000085'], ['135', '0.000087']])
('joanne', [['134', '0.000022'], ['133', '0.000045'], ['133', '0.000079'], ['133', '0.000081'], ['136', '0.000083']])
('Harry', [['133', '0.000012']])