pyleecan.Classes.VarLoad module

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Simulation/VarLoad

class VarLoad(OP_matrix=None, name='', desc='', datakeeper_list=- 1, is_keep_all_output=False, stop_if_error=False, var_simu=None, nb_simu=0, is_reuse_femm_file=True, postproc_list=- 1, pre_keeper_postproc_list=None, post_keeper_postproc_list=None, is_reuse_LUT=True, init_dict=None, init_str=None)[source]

Bases: VarSimu

Abstract class to generate multi-simulation by changing the operating point

VERSION = 1
NAME = 'Variable Load'
get_ref_simu_index(ref_simu, simu_dict)

Get the index of the reference simulation (None if must be computed)

Parameters:

  • self (VarLoadCurrent) – A VarLoadCurrent object

  • ref_simu (Simulation) – A Simulation object (reference simulation)

  • simu_dict (dict) – Dict of simulations

Returns:

ref_simu_index – index of the reference simulation (None if must be computed)

Return type:

int

get_OP_array(*arg_list)

Return the OP matrix

Parameters:

self (VarLoadCurrent) – A VarLoadCurrent object

Returns:

OP_matrix – Operating Points matrix

Return type:

ndarray

set_OP_array(OP_matrix, *arg_list, is_update_input=True, input_index=0)

Set the OP_matrix and update the input if needed (To make sure that ref simu is in the OP_matrix) Ex: set_OP_array(OP_matrix, “N0”, “Iq”, “Iq”, “Tem”)

Parameters:

  • self (VarLoad) – A VarLoad object

  • OP_matrix (ndarray) – OP_matrix to set

  • *arg_list (several str) – To specify the OP_matrix column (“N0”, “Id”, “Iq”…)

  • is_update_input (bool) – True to update the input

  • input_index (int) – Index of the OP from the OP_matrix to set in the input (if is_update_input)

save(save_path='', is_folder=False, type_handle_old=2, type_compression=0)

Save the object to the save_path

Parameters:

  • self – A pyleecan object

  • save_path (str) – path to the folder to save the object

  • is_folder (bool) – to split the object in different files: separate simulation machine and materials (json only)

  • type_handle_old (int) – How to handle old file in folder mode (0:Nothing, 1:Delete, 2:Move to “Backup” folder)

  • type_compression (int) – Available only for json, 0: no compression, 1: gzip

get_logger()

Get the object logger or its parent’s one

Parameters:

obj – A pyleecan object

Returns:

logger – Pyleecan object dedicated logger

Return type:

logging.Logger

compare(other, name='self', ignore_list=None, is_add_value=False)[source]

Compare two objects and return list of differences

as_dict(type_handle_ndarray=0, keep_function=False, **kwargs)[source]

Convert this object in a json serializable dict (can be use in __init__). type_handle_ndarray: int

How to handle ndarray (0: tolist, 1: copy, 2: nothing)

keep_functionbool

True to keep the function object, else return str

Optional keyword input parameter is for internal use only and may prevent json serializability.

copy()[source]

Creates a deepcopy of the object

property OP_matrix

Operating point matrix object

Type:

OPMatrix