pyleecan.Classes.Mode module

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

class Mode(nat_freq=None, order_circ=None, order_long=None, field=None, indice=None, axis_name=None, axis_size=None, type_cell='triangle', label=None, dimension=2, unit='', init_dict=None, init_str=None)[source]

Bases: SolutionMat

Structural module: Mode object

VERSION = 1
plot(i)

Return the pyvista mesh object.

Parameters:
  • self (Mode) – a Mode object

  • i (int) – index of the mode to plot

Returns:

mesh – a pyvista StructuredGrid object

Return type:

pyvista.core.pointset.StructuredGrid

plot_animated(i)

Return the pyvista mesh object.

Parameters:
  • self (Mode) – a Mode object

  • i (int) – index of the mode to plot

Returns:

mesh – a pyvista StructuredGrid object

Return type:

pyvista.core.pointset.StructuredGrid

get_shape_xyz()

Return the mode shape in cartesian coordinates.

Parameters:

self (Mode) – a Mode object

Returns:

shape – ndarray of the shape (Nnodes*Ndof)

Return type:

ndarray

get_shape_pol()

Return the mode shape in cartesian coordinates.

Parameters:

self (Mode) – a Mode object

Returns:

shape – ndarray of the shape (Nnodes*Ndof)

Return type:

ndarray

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 nat_freq

Natural frequency of the mode

Type:

float

property order_circ

Circumferential order

Type:

int

Min:

0

property order_long

Longitudinal order

Type:

int

Min:

0