plots

This module contains plotting methods for Pastas.

Classes

TrackSolve

Track and/or visualize optimization progress for Pastas models.

Functions

compare(→ dict)	Plot multiple Pastas models in one figure to visually compare models.
series(, **kwargs) → pastas.typing.Axes)	Plot all the input time Series in a single plot.
acf() → pastas.typing.Axes)	Plot of the autocorrelation function of a time series.
diagnostics(, fig, heteroscedasicity, ...)	Plot that helps in diagnosing basic model assumptions.
cum_frequency() → pastas.typing.Axes)	Plot of the cumulative frequency of a time Series.