pastas-plugins

Welcome to the pastas-plugins repository, your one-stop-shop for customized cutting-edge additions to Pastas.

Current plugins

The following plugins are now available:

• cross_correlation: analyze and visualize the cross-correlation between two time series.
• modflow: use modflow models as response functions.
• reservoirs: use reservoir models to simulate time series.
• responses: custom response functions for Pastas.
• pest: PEST(++) solver for Pastas.
• dataworth: data worth and visualization tools.

Installation

Install pastas-plugins with:

pip install pastas_plugins

If you want to use a specific plugin and want to ensure you install all the requisite dependencies, you can use the following command:

pip install pastas-plugins[<name of plugin>]

If you want to install them all:

pip install pastas-plugins[all]

Usage

Import the pastas-plugins module with:

import pastas_plugins as pp

This gives you access to the following functions:

pp.list_plugins()  # list of all plugins
pp.show_plugin_versions()  # show plugin versions

The function pp.show_plugin_versions() will indicate if any dependencies are missing for a particular plugin. See the Installation section above for tips on how to install dependencies for a particular plugin.

To use a particular plugin, you'll have to import it explicitly, e.g.:

from pastas_plugins import responses

rfunc = responses.Theis()

Separate plugins are each stored in a separate submodule within the pastas-plugins package. You do not need to install the dependencies for each plugin if you're only interested in one particular plugin.