This is a seperate process, which can be included in the json file as an auxiliary process. Followings are the defaults used in this process.
{
"model_part_name" : "PLEASE_SPECIFY_MODEL_PART_NAME",
"input_variable_settings" : [
{
"method_name" : "sum",
"norm_type" : "none",
"container" : "nodal_historical",
"variable_names" : [],
"method_settings": {}
}
],
"output_settings" : {
"output_control_variable": "STEP",
"output_time_interval" : 1,
"write_kratos_version" : true,
"write_time_stamp" : true,
"output_file_settings" : {
"file_name" : "<model_part_name>_<container>_<norm_type>_<method_name>.dat",
"output_path": "spatial_statistics_output",
"write_buffer_size" : -1
}
}
}
model_part_name indicates which model part to be operated on for statistics calculation. input_variable_settings contains list of statistics and/or norm methods along with their acting containers of the model part. method_name is the statistics method name (always everything is in lower case). norm_type is the applied norm, none means, value methods are used, otherwise specified norm is used. container is the container to be specified for statistical value calculation. method_settings is used to pass additional information required by statistics method such as in Distribution method. Output is written to a file in the format given at file_name, under the folder folder_name. This process can be used, if someone prefers not to modify their python scripts to calculate statistics as mentioned in the previous sections