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Description:

pastas 1.7.0

Pastas: Analysis of Groundwater Time Series

[!IMPORTANT]
As of Pastas 1.5, noisemodels are not added to the Pastas models by default anymore. Read more about this change here.

Pastas: what is it?
Pastas is an open source python package for processing, simulating and
analyzing groundwater time series. The object oriented structure allows
for the quick implementation of new model components. Time series models
can be created, calibrated, and analysed with just a few lines of python
code with the built-in optimization, visualisation, and statistical
analysis tools.
Documentation & Examples

Documentation is provided on the dedicated website
pastas.dev
Examples can be found on the examples directory on the
documentation
website
A list of publications that use Pastas is available in a
dedicated Zotero group
View and edit the example notebooks of Pastas in
GitHub Codespaces)

Get in Touch

Questions on Pastas can be asked and answered on Github
Discussions.
Bugs, feature requests and other improvements can be posted as
Github Issues.
Pull requests will only be accepted on the development branch (dev)
of this repository. Please take a look at the developers
section on the documentation website
for more information on how to contribute to Pastas.

Quick installation guide
To install Pastas, a working version of Python 3.9, 3.10, 3.11, or 3.12
has to be installed on your computer. We recommend using the Anaconda
Distribution as it includes most of
the python package dependencies and the Jupyter Notebook software to run
the notebooks. However, you are free to install any Python distribution
you want.
Stable version
To get the latest stable version, use:
pip install pastas

Update
To update pastas, use:
pip install pastas --upgrade

Developers
To get the latest development version, use:
pip install git+https://github.com/pastas/pastas.git@dev#egg=pastas

Related packages

Pastastore is a Python
package for managing multiple timeseries and pastas models
Metran is a Python package to
perform multivariate timeseries analysis using a technique called
dynamic factor modelling.
Hydropandas
can be used to obtain Dutch timeseries (KNMI, Dinoloket, ..)
PyEt can be used to compute
potential evaporation from meteorological variables.

Dependencies
Pastas depends on a number of Python packages, of which all of the
necessary are automatically installed when using the pip install
manager. To summarize, the dependencies necessary for a minimal function
installation of Pastas

numpy>=1.7
matplotlib>=3.1
pandas>=1.1
scipy>=1.8
numba>=0.51

To install the most important optional dependencies (solver LmFit and
function visualisation Latexify) at the same time with Pastas use:
pip install pastas[full]

or for the development version use:
pip install git+https://github.com/pastas/pastas.git@dev#egg=pastas[full]

How to Cite Pastas?
If you use Pastas in one of your studies, please cite the Pastas article
in Groundwater:

Collenteur, R.A., Bakker, M., Caljé, R., Klop, S.A., Schaars, F.
(2019) Pastas: open source software for the analysis of groundwater
time
series.
Groundwater. doi: 10.1111/gwat.12925.

To cite a specific version of Pastas, you can use the DOI provided for
each official release (>0.9.7) through Zenodo. Click on the link to get
a specific version and DOI, depending on the Pastas version.

Collenteur, R., Bakker, M., Caljé, R. & Schaars, F. (XXXX). Pastas:
open-source software for time series analysis in hydrology (Version
X.X.X). Zenodo. http://doi.org/10.5281/zenodo.1465866