I have this file
10, 44.66.44.55 , AD, AC , 112
10, 44.66.54.55 , AD, AC , 112
10, 44.66.44.55 , AD, AC , 112
50, 44.66.64.55 , AD, AC , 112
10, 44.66.54.55 , AD, AC , 112
10, 44.66.44.55 , AD, AC , 112
I want to add the column1 with same ip address. i want the output like
30, 44.66.44.55 , AD, AC , 112
20, 44.66.54.55 , AD, AC , 112
50, 44.66.64.55 , AD, AC , 112
I want to do in python
I tried
import re
import collections
a = collections.Counter()
with open("temp.txt", "r") as f:
for line in f.readlines():
list = line.split()
a[list[1]] += int(list[0])
print list[1]
You may use the itertools.groupby solution, which is ideal in this case
>>> with open("test.csv") as fin:
grouped_lines = groupby(sorted((e.split(',') for e in fin), key = itemgetter(1)), key = itemgetter(1))
>>> for k, v in grouped_lines:
lines = list(v)
lines[0][0] = sum(int(e[0]) for e in lines)
print lines[0]
[30, ' 44.66.44.55 ', ' AD', ' AC ', ' 112\n']
[20, ' 44.66.54.55 ', ' AD', ' AC ', ' 112\n']
[50, ' 44.66.64.55 ', ' AD', ' AC ', ' 112\n']
You need to split on ,
not on white spaces
try this
list = line.split(',')
There is a collections.Counter
module. It returns a dictionary of of {'word': numberTimes}
http://docs.python.org/2/library/collections.html
Although @Abhijit's answer is shorter,
Try this, it also works.
After processing the file data, I store the data in a dictionary. This data is then manipulated when needed.
Your data is the values in the dict.
all_ips = {}
f = open('Test2.txt')
lines = f.readlines()
f.close()
for line in lines:
ip = line.split(',')[1]
props = line.split(',')
props[0] = int(props[0])
if ip not in all_ips:
all_ips[ip] = props
else:
all_ips[ip][0] += props[0]
for ip in all_ips:
print all_ips[ip]
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