The default behavior for adding and solving with noisemodels has changed from Pastas 1.5. Find more information here

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

TrackSolve

Track and/or visualize optimization progress for Pastas models.