get_model_data

opstool.post.get_model_data(odb_tag=None, data_type='Nodal', from_responses=False, lazy_load=False, print_info=True)

Read model data from a file.

Parameters

odb_tag: Union[int, str], default: one

Tag of output databases (ODB) to be read.

data_type: Literal[“Nodal”, “Frame”, “Beam”, “Link”, “Truss”, “Shell”, “Plane”, “Brick”, “Solid”, “Contact”, “FixedNode”, “NodalLoad”, “FrameLoad”, “MPConstraint”], default: Nodal

Type of data to be read. Optional: “Nodal”, “Frame”, “Link”, “Truss”, “Shell”, “Plane”, “Brick”, “Contact”, “FixedNode”, “NodalLoad”, “FrameLoad”, “MPConstraint”.

… Note::

For element data, the cells represent the index of the nodes in “Nodal” data. You can use the .isel method of xarray to select node information by cell index.

from_responses: bool, default: False

Whether to read data from response data. If True, the data will be read from the response data file. This is useful when the model data is updated in an analysis process.

lazy_load: bool, default: False, added since version 1.0.25.

Whether to lazy load the data. If True, the data will be loaded on demand, which can save memory for large datasets. If False, the data will be fully loaded into memory. If you have enough memory, it is recommended to set this parameter to False for faster and safer data access.

print_info: bool, default: True

Whether to print information.

Returns

ModelData: xarray.Dataset if model_update is True, otherwise xarray.DataArray