How do I get the raw monitor data values as a numpy array?

Date	Category
2023-12-19 15:40:09	Data Visualization and Postprocessing

The simulation data is stored as a DataArray object using the xarray package. You can think of it as a dataset where data is stored as a large multi-dimensional array (like a numpy array) and the coordinates along each of the dimensions are specified, so it is easy to work with.

The example below shows how to get the raw monitor data as numpy arrays.

# Run the simulation and get the data.
sim_data = tidy3d.web.run(simulation, task_name="task", path="data/data.hdf5", verbose=True)

# Get all the data from a flux monitor.
flux_data = sim_data["flux_monitor"]

# Get the flux values as numpy arrays.
print(f"Shape of flux dataset = {flux_data.shape}\n.")
print(f"Frequencies in dataset = {flux_data.coords.values} \n.")
print(f"Flux values in dataset = {flux_data.values}\n.")

You can find detailed information about simulation data visualization and postprocessing in this tutorial.