A Python library for the interpretation and treatment of time-series data.
pip install va-timeseries
What is it?
A set of methods to process timeseries data.
Seasonal Decomposition -> trend -> detrend -> seasonal -> residual -> plot()
timeseries.seasonal_pattern (series, period) timeseries.series_frequencies (series) timeseries.cycle_periods (series) <- estimate
timeseries.linear_regression (x, y) timeseries.henderson (series, window) timeseries.rolling_average (series, window)
Methods for identifying and describing trends in data.
cc = timeseries.control_chart(series, samples=8)
// predict (cycles)
timeseries.fillna (series, filler=0) timeseries.mean (series) timeseries.standard_deviation (series) timeseries.variance (series) timeseries.matches (series, rule) timeseries.f_x (series, function)
- Henderson adapted from Mark Graph's Implementation
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