timeviz_vnc

TimeSeries.timeviz_vnc(
    width=6,
    height=4,
    dpi=150,
    font_size=10,
    n_periods=1,
    distance='sd',
    orientation='horizontal',
    cut_line=False,
    periodize=False,
    hide_labels=False,
)

Generate a dendrogram using the clustering method, “Variability-based Neighbor Clustering”(VNC), to identify periods in the historical development of P that accounts for the temporal ordering of the data.

Parameters

Name	Type	Description	Default
width		The width of the plot.	6
height		The height of the plot.	4
dpi		The resolution of the plot.	150
font_size		The font size for the labels.	10
n_periods		The number of periods (or clusters).	1
distance		One of ‘sd’ (standard deviation) or ‘cv’ (coefficient of variation).	'sd'
orientation		The orientation of the plot, either ‘horizontal’ or ‘vertical’.	'horizontal'
cut_line		Whether or not to include a cut line; applies only to non-periodized plots.	False
periodize		The dendrogram can be hard to read when the original observation matrix from which the linkage is derived is large. Periodization is used to condense the dendrogram.	False
hide_labels		Whether or not to hide leaf labels.	False

Returns

Name	Type	Description
	Figure	A matplotlib figure.