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. Based on seaborn pairplot method. :param data: List of Series or Dataframe with DateTime index :type data: Union[DataFrame, List[Series]] :param bins: Number of bins in the histogram, by default None which uses Sturge's Rule to determine the number bins :type bins: Optional[int], optional.
`series`	Plot all the input time Series in a single plot.

Classes

Track and/or visualize optimization progress for Pastas models.