entropy in txt file

I have a text file with numbers in it as follows:

1231313123123123
1432423432535345
3532523452345345
1231423432453455
3434535345345345
3452353453253453

all the lines are the same length, I want to calculate entropy on each line and have output as:

2.64234234
2.65464564
2.35355435
etc.

Right now with this piece of code I have gives me entropy to be the same, what am I doing wrong?

Thanks.

#!/usr/bin/env python

import math

def H(data):
  if not data:
    return 0
  entropy = 0
  for x in range(256):
    p_x = float(data.count(chr(x)))/len(data)
    if p_x > 0:
      entropy += - p_x*math.log(p_x, 2)
  return entropy

failas = open('text.txt', 'r')
for row in failas:
        pri开发者_StackOverflownt H('failas')

---

failas = open('text.txt', 'r')
for row in failas:
    print H(row)

---

Perhaps you meant print H(row).

---

All of the above, plus you probably don't want to include the \n at end of each line in the entropy calculation. Use H(row.rstrip('\n'))

You can answer a lot of your own questions by examining the data that is being tosssed around by your code. In this case, inserting print repr(data) after the line def H(data): would have shown you what the problem was straight away.