calculate 95 percentile of the list values in python [duplicate]

Question

This question already has answers here:

How do I calculate percentiles with python/numpy? (12 answers)

Closed 8 years ago.

I have a dictionary in my program and each of the value is a list of response times. I need to calculate the 95 percentile response time for each of these lists. I know how to calculate the average, But have no idea about 95 percentile calculation. Any pointers would be appreciated.

The following is the dictionary output of my program

finalvalues = {'https://lp1.soma.sf.com/img/chasupersprite.qng?v=182-4': ['505', '1405', '12', '12', '3'], 'https://lp1.soma.sf.com/img/metaBar_sprite.dsc': ['154', '400', '1124', '82', '94', '108']}

Answer 1

import numpy as np
for i in finalvalues.values():
    print np.percentile(map(int,i),95)

Answer 2

Use scipy.stats.norm.interval(confidence, loc=mean, scale=sigma) where confidence is a value between 0 and 1, in your case, it would be .95. mean would be the mean of your data and sigma would be your sample standard deviation. The output of this will be a tuple, where the first value is the lower bound and the second value is the upper bound on the interval. Hope this helps.