pyleecan.Classes.ImportData module

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Import/ImportData

class ImportData(axes=- 1, field=None, unit='SI', name='', symbol='', normalizations=- 1, symmetries=- 1, init_dict=None, init_str=None)

Bases: FrozenClass

Abstract class for Data Import/Generation

VERSION = 1

get_data()

Generate Data objects

Parameters:

self (ImportData) – An ImportData object

Returns:

Data – The generated Data object

Return type:

DataND

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)

Compare two objects and return list of differences

as_dict(type_handle_ndarray=0, keep_function=False, **kwargs)

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()

Creates a deepcopy of the object

property axes

List of axes of the data

Type:

[ImportData]

property field

Field (Import object)

Type:

Import

property unit

Unit of the field

Type:

str

property name

Name of the field

Type:

str

property symbol

Symbol of the field

Type:

str

property normalizations

Dict of normalizations

Type:

dict

property symmetries

Dict of symmetries

Type:

dict