Go to the source code of this file.
Functions | |
| def | g2np_example2.get_model_text () |
Variables | |
| g2np_example2.ws = GamsWorkspace(system_directory = sys.argv[1]) | |
| g2np_example2.plants = np.array([["Seattle", ""], ["San-Diego", ""]]) | |
| g2np_example2.markets = np.array([["New-York", ""], ["Chicago", ""], ["Topeka", ""]]) | |
| g2np_example2.capacity = np.array([["Seattle", 350.0], ["San-Diego", 600.0]], dtype=object) | |
| g2np_example2.demand = np.array([["New-York", 325.0], ["Chicago", 300.0], ["Topeka", 275.0]], dtype=object) | |
| g2np_example2.distance | |
| g2np_example2.gdx = new_gdxHandle_tp() | |
| g2np_example2.rc | |
| g2np_example2.msg | |
| g2np_example2.g2np = gams2numpy.Gams2Numpy(ws.system_directory) | |
| g2np_example2.opt = ws.add_options() | |
| g2np_example2.all_model_types | |
| g2np_example2.job = ws.add_job_from_string(get_model_text()) | |
Detailed Description
This example uses the gams2numpy API in order to demonstrate...
- How to prepare a GDX file from numpy arrays
- How to run a job using data from GDX
- How to export the results of a GamsJob to GDX and read them into numpy arrays
Definition in file g2np_example2.py.