Getting the Evolution of the Statistics of a Result

This is an example of a run(scenario) script that loads DEM dataset and calculates for result the values of a list of statistical parameters for each timestep in the datase. The data of temporal evolution of the statistical parameters is saved into the scenario as graph (raw data is also saved into a CSV file) and the graph is exported into a interactive HTML file.

'''This scripts loads the DEM dataset of a scenario. For a given result, it computes the statistical parameters 
    over the particles' mesh for each timestep in the dataset. A graph with the data is saved into the scenario 
    and into a CSV file, and the graph is exported into a HTML file'''

import iota

def run(scenario):

    ## Settings for getting statistics ##
    mesh_name = 'particles'                                   #Name of the mesh that contains the result

    res_name = 'Velocity'                                     #Name of the result
    res_component = 3                                         #Component of the result 
    res_analysis = 'none'                                     #Name of the analysis of the result  
    stats_params = ['min','max','mean','median','stdev','cov'] #Stats parameters to be calculated
    ########################################

    #### Settings for graph saving ######
    Name_graph = 'Statistics {} for {}'.format(res_name,mesh_name)        #Name for the graph
    Title_graph = 'Statistics {} for {}'.format(res_name,mesh_name)       #Title to shown in the graph
    xtitle = 'time (s)'                                                   #Title for x-axis 
    ytitle = 'Velocity Magnitude [m/s]'                                   #Tile for y-axis
    legend = stats_params                                                  #Name of the traces for the graph legend
    graph_file = '{}/graphs/{}'.format(scenario.directory,Name_graph)     #Output name and path for exporting graph
    ########################################     

    dem_dataset = scenario.get_dem_dataset()                    #Get the coarse-graining dataset of the scenario
    dem_data = dem_dataset.data()                                       #Load the data of the coarse-graining dataset

    x_data , y_data = dem_data.statistics_evolution(mesh=mesh_name, result=res_name, 
        analysis=res_analysis, component=res_component, data=stats_params)        #Get evolution statistics

    graph = scenario.add_graph(name=Name_graph, title=Title_graph, xdata=x_data, ydata=y_data, 
        xtitle=xtitle, ytitle=ytitle, legend=legend)        #Save the graph data to database (including raw data to csv file)

    graph.export_html(graph_file)                                #Export the graph into html format

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'''This scripts loads the DEM dataset of a scenario. For a given result, it computes the statistical parameters over the particles' mesh for each timestep in the dataset. A graph with the data is saved into the scenario and into a CSV file, and the graph is exported into a HTML file''' import iota def run(scenario): ## Settings for getting statistics ## mesh_name = 'particles' #Name of the mesh that contains the result res_name = 'Velocity' #Name of the result res_component = 3 #Component of the result res_analysis = 'none' #Name of the analysis of the result stats_params = ['min','max','mean','median','stdev','cov'] #Stats parameters to be calculated ######################################## #### Settings for graph saving ###### Name_graph = 'Statistics {} for {}'.format(res_name,mesh_name) #Name for the graph Title_graph = 'Statistics {} for {}'.format(res_name,mesh_name) #Title to shown in the graph xtitle = 'time (s)' #Title for x-axis ytitle = 'Velocity Magnitude [m/s]' #Tile for y-axis legend = stats_params #Name of the traces for the graph legend graph_file = '{}/graphs/{}'.format(scenario.directory,Name_graph) #Output name and path for exporting graph ######################################## dem_dataset = scenario.get_dem_dataset() #Get the coarse-graining dataset of the scenario dem_data = dem_dataset.data() #Load the data of the coarse-graining dataset x_data , y_data = dem_data.statistics_evolution(mesh=mesh_name, result=res_name, analysis=res_analysis, component=res_component, data=stats_params) #Get evolution statistics graph = scenario.add_graph(name=Name_graph, title=Title_graph, xdata=x_data, ydata=y_data, xtitle=xtitle, ytitle=ytitle, legend=legend) #Save the graph data to database (including raw data to csv file) graph.export_html(graph_file) #Export the graph into html format