read_k_file("mesh.key")Utils
Utils functions
multiple_targets
multiple_targets ()
This function determines if the there are multiple target subject by examining the directories within the target path.If there are multiple target directories, it returns a list of the target subjects’ names
read_k_file
read_k_file (path_to_file:str)
Reads the *NODES from a .k/.key file, extracting node IDs and x, y, and z coordinates. It returns a DataFrame with columns labeled as ‘Label - node id’, ‘x’, ‘y’, and ‘z’
| Type | Details | |
|---|---|---|
| path_to_file | str | File to read |
| Returns | DataFrame | Dataframe of shape [n_nodes, [ID,x,y,z]] |
read_csv_file
read_csv_file (path_to_file:str)
This function read .csv files in format [id, x, y,z] and coverts it to DataFrame
| Type | Details | |
|---|---|---|
| path_to_file | str | File to read. |
| Returns | DataFrame | Dataframe of columns are id, x, y,z |
df = read_csv_file("landmarks.csv")read_xml_file
read_xml_file (path_to_file:str)
This function read .xml files in format [id, x, y,z] and coverts it to DataFrame. It divides the second column into separate x y z. This function was developed for a specific case.
| Type | Details | |
|---|---|---|
| path_to_file | str | File to read [label, x y z] |
| Returns | DataFrame | Dataframe of columns are id, x, y,z |
from_df_to_np
from_df_to_np (df:pandas.core.frame.DataFrame)
This function transform a pd.Dataframe of shape [ID, x,y,z] to numpy array of coordinates [x,y,z]
| Type | Details | |
|---|---|---|
| df | DataFrame | Dataframe |
| Returns | ndarray | numpy array |
to_ls_dyna
to_ls_dyna (number)
This function write coordinates according to LS-DYNA formatting. Coordinates of nodes requires 16 digit.
to_ls_dyna(6.8)' 6.800000'