pyleecan.Classes.NodeMat module

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

class NodeMat(coordinate=None, nb_node=0, delta=1e-10, indice=None, init_dict=None, init_str=None)[source]

Bases: FrozenClass

Class to define nodes coordinates and getter.

VERSION = 1
add_node(coord)

Define a new NodeMat object based on a set of elements.

Parameters:

  • self (NodeMat) – an NodeMat object

  • element (Element) – an Element object

Returns:

node – a Node object corresponding to Element

Return type:

Node

get_coord(node_indice)

Return the coordinates of node(s).

Parameters:

  • self (NodeMat) – an NodeMat object

  • node_indice (np.array) – an array of node indice

Returns:

coord – an array of node coordinates

Return type:

np.array

is_exist(new_coord, dim=2)

Check the existence of a node defined by its coordinates

Parameters:

  • self (NodeMat) – an NodeMat object

  • coord (ndarray) – coordinate of the node

Returns:

True if the element already exist

Return type:

bool

get_indice(coord=None)

Return the coordinates of node(s).

Parameters:

  • self (NodeMat) – an NodeMat object

  • coord (ndarray) – a node coordinate

Returns:

coord – an array of node coordinates

Return type:

np.array

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 coordinate

Nodes coordinates

Type:

ndarray

property nb_node

Total number of nodes

Type:

int

property delta

Sensibility for node searching

Type:

float

property indice

Nodes unique indices

Type:

ndarray