This is an example of a run(scenario) script that creates multiple screenshots of the results of the coarse-graining (cg) dataset of a scenario. The settings for the screenshots of the results is specified by a list of Particle Analytics Camera files (.pac) (see the following link on how export the .pac files: link)
''' This scripts loads the cg_dataset of a scenario and creates multiples screenshots of the results in the dataset
based on the scene settings specified in a list of Particle Analytics Camera file (.pac).
Each screenshot generates an PNG file and is saved into the scenario'''
import iota
def run(scenario):
###Setting the list of pac files for the scene settings
path_screenshots_config = 'C:/Users/stephen/pac_scene_settings/' #Path to the folder that contains the .pac files
ListOfScreenshots = ['Density_Min_0_Max_2100',
'Solid Fraction_Min_0_Max_0p75',
'Velocity_Mag_Min_0_Max_7p8'] #List of the names of the .pac files with the config of the screenshots
t = "2.501" #Time value of the step
#############################################
cg_dataset = scenario.get_cg_dataset() #Load the cg dataset of the scenario
cg_data = cg_dataset.data() #Load the dataset data
ListOfTimesteps = cg_data.timesteps() #List of timesteps
step_index = ListOfTimesteps.index(t) #Get the step with the time value t
for screenshot in ListOfScreenshots: #For each screenshot in the list of Screenshots
config_screenshot = path_screenshots_config + screenshot + '.pac' #Build the path to the .pac file of the screenshot
output_file = scenario.directory + '/screenshots/' + screenshot + '.png' #Build the path for the output screenshot file
iota.render.generate_screenshots(dataset=cg_data, config=config_screenshot, destination=output_file, step=step_index) #Generate the screenshot
scenario.add_screenshot(screenshot, output_file) #Save the screenshot in the scenario
