_NodeResult

class _NodeResult(dll: SofDll)

Bases: object

The NodeResults class provides abstractions to load and access information about the nodal results, contained in keys 24/LC of the CDB file.

Data are stored in a pandas.DataFrame having the following columns:

• LOAD_CASE: load combination number

• ID: node number

• UX: X component of the nodal displacement (translation)

• UY: Y component of the nodal displacement (translation)

• UZ: Z component of the nodal displacement (translation)

• URX: X component of the nodal displacement (rotation)

• URY: Y component of the nodal displacement (rotation)

• URZ: Z component of the nodal displacement (rotation)

• URB: twist rotation

• PX: X component of the nodal reaction (translation)

• PY: Y component of the nodal reaction (translation)

• PZ: Z component of the nodal reaction (translation)

• MX: X component of the nodal reaction (rotation)

• MY: Y component of the nodal reaction (rotation)

• MZ: Z component of the nodal reaction (rotation)

• MB: warping moment

clear(load_case: int) → None

Clear the loaded data for the given load_case number.

clear_all() → None

Clear the loaded data for all the load cases.

get(node_id: int, load_case: int, quantity: str, default: float | None = None) → float

Retrieve the requested nodal result.

Parameters:

• node_id (int) – Node number

• load_case (int) – Load case number

• quantity (str) –

  Quantity to retrieve. Must be one of:

  • UX

  • UY

  • UZ

  • URX

  • URY

  • URZ

  • URB

  • PX

  • PY

  • PZ

  • MX

  • MY

  • MZ

  • MB

• default (float or None, default None) – Value to return if the requested quantity is not found

Returns:

value – The requested value if found. If not found, returns default when it is not None.

Return type:

float

Raises:

LookupError – If the requested result is not found and default is None.

get_data(deep: bool = True) → DataFrame

Return the pandas.DataFrame containing the loaded keys 24/LC.

Parameters:

deep (bool, default True) – When deep=True, a new object will be created with a copy of the calling object’s data and indices. Modifications to the data or indices of the copy will not be reflected in the original object (refer to pandas.DataFrame.copy() documentation for details).

is_loaded(load_case: int) → bool

Return True if the results have been loaded for the given load_case.

load(load_cases: int | list[int]) → None

Retrieve nodal results for the given load_cases. If a load case is not found, a warning is raised only if echo_level > 0.

Parameters:

load_cases (int | list[int]) – load case numbers