model
=====

.. py:module:: pastas.model

.. autoapi-nested-parse::

   This module contains the Model class.

   Model is the central class in Pastas and contains all the information
   necessary to set up, solve and analyze time series models.

   .. rubric:: Examples

   Create a new Pastas model::

       head = pd.read_csv("head.csv", index_col=[0], parse_dates=True).squeeze("columns")
       ml = ps.Model(head, name="my_model")

   ..
       !! processed by numpydoc !!


Classes
-------

.. toctree::
   :hidden:

   /api/pastas/model/Model

.. autoapisummary::

   pastas.model.Model