scipy.stats.entropy¶
-
scipy.stats.
entropy
(pk, qk=None, base=None)[source]¶ Calculate the entropy of a distribution for given probability values.
If only probabilities pk are given, the entropy is calculated as
S = -sum(pk * log(pk), axis=0)
.If qk is not None, then compute the Kullback-Leibler divergence
S = sum(pk * log(pk / qk), axis=0)
.This routine will normalize pk and qk if they don’t sum to 1.
- Parameters
- pksequence
Defines the (discrete) distribution.
pk[i]
is the (possibly unnormalized) probability of eventi
.- qksequence, optional
Sequence against which the relative entropy is computed. Should be in the same format as pk.
- basefloat, optional
The logarithmic base to use, defaults to
e
(natural logarithm).
- Returns
- Sfloat
The calculated entropy.