pastas.plotting.plots#

This module contains plotting methods for Pastas.

Functions

`acf`	Plot of the autocorrelation function of a time series.
`compare`	Plot multiple Pastas models in one figure to visually compare models.
`cum_frequency`	Plot of the cumulative frequency of a time Series.
`diagnostics`	Plot that helps in diagnosing basic model assumptions.
`pairplot`	Plot correlation between time series on of values on the same time steps.
`series`	Plot all the input time Series in a single plot.

Classes

Track and/or visualize optimization progress for Pastas models.