Np confidence interval

import numpy as np
import scipy.stats


def mean_confidence_interval(data, confidence=0.95):
    a = 1.0 * np.array(data)
    n = len(a)
    m, se = np.mean(a), scipy.stats.sem(a)
    h = se * scipy.stats.t.ppf((1 + confidence) / 2., n-1)
    return m, m-h, m+h

Source: stackoverflow.com

Similar codes

1 vote344 views1 answer
Numpy complex number
Python
15 votes314 views6 answers
Python sqlite3
Python
0 vote391 views1 answer
Simulate robot arm using python
Python
0 vote342 views1 answer
Django rest framework not getting form
Python Django
0 vote278 views1 answer
Unique combinations python
Python
0 vote327 views1 answer
Left fill with zeros
Python
33 votes273 views4 answers
Sort and reverse list in python
Python
13 votes287 views2 answers
Try catch if else python
Python
49 votes313 views6 answers
Python measure time
Python
0 vote295 views1 answer
Data where values in column starts with particular value
Python