Still juggling simulations between two machines and a prayer? Scale up in minutes with Inductiva.
Automatically Generate GIFs from Your Simulation
You can now easily create animated GIFs directly from your simulation outputs! This feature offers a fast and convenient way to visualize your results without any additional post-processing.
Let’s continue from the quick-start tutorial, where the following code snippet demonstrates how to enable GIF generation:
"""WRF Simulation."""
import inductiva
# Allocate cloud machine on Google Cloud Platform
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c2d-standard-16",
spot=True)
# Initialize the Simulator
wrf = inductiva.simulators.WRF( \
version="4.6.1")
# Run simulation
task = wrf.run( \
input_dir=input_dir,
case_name="em_real",
# generate GIF with the RAINNC values
gen_gif=True,
gen_gif_variable="RAINNC",
gen_gif_files=[
"wrfout_d01_2019-11-26_12:00:00",
"wrfout_d01_2019-11-26_13:00:00",
"wrfout_d01_2019-11-26_14:00:00",
"wrfout_d01_2019-11-26_15:00:00",
"wrfout_d01_2019-11-26_16:00:00",
"wrfout_d01_2019-11-26_17:00:00",
"wrfout_d01_2019-11-26_18:00:00",
"wrfout_d01_2019-11-26_19:00:00",
"wrfout_d01_2019-11-26_20:00:00",
"wrfout_d01_2019-11-26_21:00:00",
"wrfout_d01_2019-11-26_22:00:00",
"wrfout_d01_2019-11-26_23:00:00",
"wrfout_d01_2019-11-27_00:00:00",
],
on=cloud_machine)
GIF Generation Parameters
Customize the GIF output using these parameters:
| Parameter | Type | Description |
|---|---|---|
gen_gif | bool | Enables GIF generation. Default is False. |
gen_gif_variable | str | The variable to visualize (e.g., "RAINNC"). Default is "RAINNC". |
gen_gif_files | List[str] | Ordered list of WRF output files to include as frames. |
gen_gif_output_dir | str | Directory to save the generated GIF. Defaults to the current directory. |
gen_gif_fps | int | Frames per second. Controls the playback speed. Default is 3. |
This feature is ideal for quick diagnostics, presentations, or simply gaining a visual understanding of your simulation results.