Version 0.16 (16th of November 2020)¶
Note
This release will introduce backward incompatible changes to Pastas, most notably due to the renaming of the parameter input argument. This change is mostly internally and will only affect users that explicitly pass parameters into a method.
New Features / Enhancements¶
A new stress model (
ps.LinearTrend) to simulate linear trends is added to the list of stable stress models.New method to compute the Standardized Groundwater Index. See (
ps.stats.sgi) for more details.Most of the goodness-of-fit metrics now allow providing a “weighted” argument. This may result in more realistic values for time series with irregular time steps.
The documentation website is further improved. We now separate ‘Examples’ and ‘Concepts’. The First are worked-out example notebooks using Pastas to analyse a problem, the second are notebooks showing a underlying methods.
Deprecations¶
The following methods to set parameter properties are now deprecated and replaced by the single method ml.set_parameter: ml.set_vary, ml.set_pmin, ml.set_pmax, ml.set_initial.
The name of the input argument for the parameters was made consistent throughout Pastas. If the input argument is named p an array-like object is expected, whereas if the input is parameters a Pandas DataFrame object is expected.
ps.FactorModelis deprecated and will be removed in a future version. Useps.StressModelwith rfunc=ps.One instead.
Backwards incompatible API changes¶
New Example (Notebooks)¶
New notebook on computing Standardized Groundwater Index using Pastas.
New Notebook on simulated step and linear trend.