pyleecan.Classes.SolutionData module

Method code available at https://github.com/Eomys/pyleecan/tree/master/pyleecan/Methods/Mesh/SolutionData

class SolutionData(field=None, type_cell='triangle', label=None, dimension=2, unit='', init_dict=None, init_str=None)[source]

Bases: Solution

Define a Solution with SciDataTool objects.

VERSION = 1
get_field(*args, is_squeeze=False, node=None, is_rthetaz=False)

Get the value of variables stored in Solution.

Parameters:
  • self (SolutionData) – an SolutionData object

  • *args (list of strings) – List of axes requested by the user, their units and values (optional)

Returns:

field – an array of field values

Return type:

array

get_axes_list(*args)

Get the axis of variables stored in Solution.

Parameters:
  • self (SolutionData) – an SolutionData object

  • args (list) – list of SciDataTool arguments

Returns:

field – an array of field values

Return type:

array

get_solution(indice=None)

Return a copy of the solution with the option to only include specified indice.

Parameters:
  • self (SolutionData) – a SolutionData object

  • indice (list) – list of indice, if list is empty or None all indice are included

Returns:

solution – solution

Return type:

SolutionMat

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 field

Data object containing the numerical values of a solution. One of the axis must be “Indices”, a list of indices. If the solution is a vector, one of the axis must be “Direction”, values [‘x’,’y’] for example.

Type:

SciDataTool.Classes.DataND.DataND