# Piecewise constant (pw_constant)#

## Description#

For a given number of samples $$T$$, number $$K$$ of change points and noise variance $$\sigma^2$$, the function pw_constant generates change point dexes $$0 < t_1 < \dots < t_K < T$$ and a piecewise constant signal $$\{y_t\}_t$$ with additive Gaussian noise.

## Usage#

import numpy as np
import matplotlib.pylab as plt
import ruptures as rpt

# creation of data
n, dim = 500, 3  # number of samples, dimension
n_bkps, sigma = 3, 5  # number of change points, noise standard deviation
signal, bkps = rpt.pw_constant(n, dim, n_bkps, noise_std=sigma)
rpt.display(signal, bkps)


The mean shift amplitude is uniformly drawn from an interval that can be changed through the keyword delta.

signal, bkps = rpt.pw_constant(n, dim, n_bkps, noise_std=sigma, delta=(1, 10))