plot_series_with_profiles

plot_series_with_profiles(ts, profiles, true_cps=None, found_cps=None, score_name='ClaSP Score', title=None, font_size=16)

Plot the TS with the known and found change points and profiles.

Parameters:

ts: array-like, shape=[n]

the univariate time series of length n to be annotated. the time series is plotted as the first subplot.

profiles: array-like, shape=[n-m+1, n_cpts], dtype=float

the n_cpts profiles computed by the method used the profiles are plotted as subsequent subplots to the time series.

true_cps: array-like, dtype=int, default=None

the known change points. these are highlighted in the time series subplot as vertical lines

found_cps: array-like, shape=[n_cpts], dtype=int, default=None

the found change points these are highlighted in the profiles subplot as vertical lines

score_name: str, default=”ClaSP Score

name of the scoring method used, i.e. ‘ClaSP’

title: str, default=None

the name of the time series (dataset) to be annotated

font_size: int, default=16

for plotting

Returns:

figmatplotlib.figure.Figure

Figure with 1 + len(profiles) subplots, one for the time series and others for each profile

axesnp.ndarray

Array of the figure’s Axe objects