================= 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 pstore.get_nearest_oseries("my_oseries", n=3) # get nearest precipitation series pstore.get_nearest_stress("my_oseries", kind="prec") * Creating pastas Models, optionally adding a recharge stressmodel:: # create model ml = pstore.create_model("my_oseries", add_recharge=True) Bulk operations are also provided for: * Creating and storing pastas Models:: # create models and store in database pstore.create_models(add_recharge=True, store=True) * Optimizing pastas Models and storing the results:: # solve models and store result in database pstore.solve_models(ignore_solver_errors=True)