pyhctsa.operations.correlation.embed2_shapes¶

pyhctsa.operations.correlation.embed2_shapes(y, tau='tau', shape='circle', r=1.0)¶

Shape-based statistics in a 2-d embedding space.

Takes a shape and places it on each point in the two-dimensional time-delay embedding space sequentially. This function counts the points inside this shape as a function of time, and returns statistics on this extracted time series.

Parameters:¶

y : array-like¶

The input time-series as a (z-scored) column vector.

tau : int or str, optional¶

The time-delay. If ‘tau’, it’s set to the first zero crossing of the autocorrelation function.

shape : str, optional¶

The shape to use. Currently only ‘circle’ is supported.

r : float, optional¶

The radius of the circle.

Returns:¶

A dictionary containing various statistics of the constructed time series.

Return type:¶

dict