Note
Click here to download the full example code
2.16. Using simulation trackers¶
This example illustrates how trackers can be used to analyze simulations.
0%| | 0/3.0 [00:00<?, ?it/s]
Initializing: 0%| | 0/3.0 [00:00<?, ?it/s]
0%| | 0/3.0 [00:04<?, ?it/s]
3%|3 | 0.1/3.0 [00:04<02:04, 43.04s/it]
7%|6 | 0.2/3.0 [00:04<01:00, 21.52s/it]
23%|##3 | 0.7/3.0 [00:04<00:14, 6.15s/it]
23%|##3 | 0.7/3.0 [00:04<00:14, 6.42s/it]
100%|##########| 3.0/3.0 [00:04<00:00, 1.50s/it]
100%|##########| 3.0/3.0 [00:04<00:00, 1.50s/it]
509.3808644073509
509.3808644073508
509.38086440735094
509.38086440735094
import pde
grid = pde.UnitGrid([32, 32]) # generate grid
state = pde.ScalarField.random_uniform(grid) # generate initial condition
storage = pde.MemoryStorage()
trackers = [
"progress", # show progress bar during simulation
"steady_state", # abort when steady state is reached
storage.tracker(interval=1), # store data every simulation time unit
pde.PlotTracker(show=True), # show images during simulation
# print some output every 5 real seconds:
pde.PrintTracker(interval=pde.RealtimeInterrupts(duration=5)),
]
eq = pde.DiffusionPDE(0.1) # define the PDE
eq.solve(state, 3, dt=0.1, tracker=trackers)
for field in storage:
print(field.integral)
Total running time of the script: ( 0 minutes 4.555 seconds)