Quickstart

Install

pip install entroscope

Compute entropy

import pandas as pd
from entroscope import shannon, permutation, spectral

s = pd.Series([10, 20, 15, 80, 90, 85, 88, 92])

shannon.compute(s)                  # single value
shannon.rolling(s, window=20)       # rolling Series (index preserved)
shannon.delta(s, window=20)         # rate of change
shannon.normalized(s)               # 0-1 scaled
fig = shannon.plot(s, window=20)    # matplotlib Figure

Compare measures

from entroscope import plot

fig = plot.compare(s, measures=["shannon", "permutation", "spectral"], window=20)
fig = plot.dashboard(s, window=20)

Every measure follows the same contract:

Method	Returns
compute	float
rolling	Series/ndarray, same length
delta	Series/ndarray (first difference)
normalized	float in [0, 1] (where defined)
plot	matplotlib.figure.Figure