PastaStore object

The PastaStore object is essentially a class for working with time series and pastas Models. A Connector has to be passed to the object which manages the retrieval and storage of data.

Methods are available for the following tasks:

• Calculating distances between locations of time series, i.e. getting the nearest time series to a location:

  # get 3 nearest oseries
  store.get_nearest_oseries("my_oseries", n=3)
  
  # get nearest precipitation series
  store.get_nearest_stress("my_oseries", kind="prec")
  

• Creating pastas Models, optionally adding a recharge stressmodel:

  # create model
  ml = store.create_model("my_oseries", add_recharge=True)
  

Bulk operations are also provided for:

• Creating and storing pastas Models:

  # create models and store in database
  store.create_models(add_recharge=True, store=True)
  

• Optimizing pastas Models and storing the results:

  # solve models and store result in database
  store.solve_models(ignore_solver_errors=True, store_result=True)