pyhctsa.operations.symbolic.motif_three¶

pyhctsa.operations.symbolic.motif_three(y, cg_how='quantile')¶

Motifs in a coarse-graining of a time series to a 3-letter alphabet.

Parameters:¶

y : np.ndarray¶

Time series to analyze.

cg_how : {'quantile', 'diffquant'}, optional¶

The coarse-graining method to use:

• ’quantile’: equiprobable alphabet by time-series value (default)

• ’diffquant’: equiprobably alphabet by time-series increments

Returns:¶

Statistics on words of length 1, 2, 3, and 4.

Return type:¶

dict