pyleecan.Classes.CellMat module

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

class CellMat(connectivity=None, nb_cell=0, nb_node_per_cell=0, indice=None, interpolation=- 1, init_dict=None, init_str=None)[source]

Bases: FrozenClass

Define the connectivity under matricial format containing one type of element (example: only triangles with 3 nodes).

VERSION = 1
add_cell(pt_indice, new_ind)

Add a new element

Parameters:

  • self (CellMat) – an CellMat object

  • new_ind (int) – an new cell indices

  • pt_indice (ndarray) – connectivity

Returns:

is_created – False if the element already exist or if it is not possible to add the element

Return type:

bool

get_connectivity(cell_indice=None)

Return the connectivity of one cell.

Parameters:

  • self (CellMat) – an CellMat object

  • cell_indice (int) – the indice of a cell. If None, return all cells.

Returns:

connect_select – Selected cell connectivity. Return None if the tag does not exist

Return type:

ndarray

get_node2cell(node_indice)

Return all indices of cells containing a node.

Parameters:

  • self (CellMat) – an CellMat object

  • node_indice (int) – a node indice

Returns:

node_to_cell – Indices of cells containing the node

Return type:

ndarray

is_exist(connectivity)

Check the existence of a cell defined by a connectivity (vector of points indices). The order of points indices does not matter.

Parameters:

  • self (CellMat) – an CellMat object

  • connectivity (ndarray) – an array of node tags

Returns:

True if the element already exist

Return type:

bool

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 connectivity

Matrix of connectivity for one element type

Type:

ndarray

property nb_cell

Total number of elements

Type:

int

property nb_node_per_cell

Define the number of node per cell

Type:

int

property indice

Element indices

Type:

ndarray

property interpolation

Define FEA interpolation

Type:

Interpolation