numpy how to calculate variance

Determined Dragonfly answered on August 6, 2020 Popularity 10/10 Helpfulness 5/10

answer numpy how to calculate variance

related calculating the variance of a numpy array

Comment

import numpy
numbers = [50,66,77,88,99,100]
x = numpy.var(numbers)
print(x)

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: numpy python variance

Link to this answer
Share Copy Link

Contributed on Aug 06 2020

Determined Dragonfly

0 Answers Avg Quality 2/10

Closely Related Answers

Comment

a = np.array([[1, 2], [3, 4]])
>>> np.var(a)
1.25
>>> np.var(a, axis=0)
array([1.,  1.])
>>> np.var(a, axis=1)
array([0.25,  0.25])

Popularity 7/10 Helpfulness 2/10 Language python

Source: numpy.org

Tags: numpy python variance

Link to this answer
Share Copy Link

Contributed on Jan 08 2024

Alfreddo

0 Answers Avg Quality 2/10

Continue with Google

By continuing, I agree that I have read and agree to Greppers's Terms of Service and Privacy Policy.