How to calculate the entropy rate of a numpy ndarray?

Asked Mar 21 '19 at 16:53

Active Mar 22 '19 at 00:16

Viewed 481 times

For a random variable sequence, first I convert it to a numpy ndarray. Then i want to calculate the entropy rate? Have good ways to do it? not entropy.

Besides, the variable generated by model is random. To simply, I create a list, then, convert it to a numpy ndarray.

import numpy as np
list_num = [4,6,2,8,1,0,10,2,9]
a = np.asarray(list_num)
a.shape
#compute the extropy rate of a

edited Mar 22 '19 at 00:16

asked Mar 21 '19 at 16:53

PZY

2

Possible duplicate of [Fastest way to compute entropy in Python](https://stackoverflow.com/questions/15450192/fastest-way-to-compute-entropy-in-python) – Sheldore Mar 21 '19 at 16:54
can you elaborate how your entropy is defined? – adrtam Mar 21 '19 at 16:55
@Bazingaa my question is to compute entropy rate, not entropy. – PZY Mar 21 '19 at 17:34
@PZY: You will have to include the definition of entropy then – Sheldore Mar 21 '19 at 17:36
@adrtam, the definition of entropy rate is [entropy rate](https://en.wikipedia.org/wiki/Entropy_rate) – PZY Mar 21 '19 at 17:39
@PZY without knowing which model you generate 4, 6, 2, ..., it is impossible to answer. – adrtam Mar 21 '19 at 18:12
@adrtam The variable generated by model is random. To simply, I create a list, then, convert it to a numpy ndarray. – PZY Mar 22 '19 at 00:09
try pyinform library – sten Jan 27 '22 at 00:40

How to calculate the entropy rate of a numpy ndarray?

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