# gtda.time_series: Time series¶

The module gtda.time_series implements transformers to preprocess time series or embed them in a higher dimensional space for persistent homology.

## Preprocessing¶

 time_series.SlidingWindow([width, stride]) Sliding windows onto the data. time_series.Resampler([period]) Time series resampling at regular intervals. time_series.Stationarizer([operation]) Methods for stationarizing time series data.

## Time-delay embedding¶

 Representation of a univariate time series as a time series of point clouds.

## Target preparation¶

 time_series.Labeller([width, func, …]) Target creation from sliding windows over a time series.

## Dynamical systems¶

 time_series.PermutationEntropy([n_jobs]) Entropies from sets of permutations arg-sorting rows in arrays.

## Multivariate¶

 Pearson dissimilarities from collections of multivariate time series.