7. Data

This page gives an overview of saving and loading data in CSDL. The standard data format for CSDL is .hdf5

7.1. Saving Variables

Saving CSDL variables is a two step process. The first step is to indicate what variables should be saved. This is done by calling .save() on the variable. This indicates to the backend that a variable should be saved. Additional methods are provided to set groups of variables to be saved, such as the .save() method on the VariableGroup class, csdl.save_optimization_variables(), and csdl.save_all_variables().

The second step is to actually save the variables to file. This is generally done by the backend. When using inline mode, you can save the variables to file by calling csdl.inline_export(). This will create an .hdf5 file with the saved variables, including their value, names, and tags. Additionally, inline_export() takes the argument summary_CSV, which can be used to save the min, max, and mean of variables to a .csv file instead.

7.2. Loading Variables

Loading variables is done by calling csdl.inline_import(). This will load the variables from an .hdf5 file, and assign the values to the variables, returning a dictionary of variables keyed by their names. You can then access the variables by their names, and use them in your model.