Python: Generate Random Time Series Data With Trends (e.g. Cyclical, Exponentially Decaying Etc)

I am trying to generate some random time series with trends like cyclical (e.g. sales), exponentially decreasing (e.g. facebook likes on a post), exponentially increasing (e.g. bit

Solution 1:

You may want to evaluate TimeSynth

"TimeSynth is an open source library for generating synthetic time series for *model testing*. The library can generate regular and irregular time series. The architecture allows the user to match different *signals* with different architectures allowing a vast array of signals to be generated. The available *signals* and *noise* types are listed below."