pyvista.MultiBlock.set_active_scalars#

MultiBlock.set_active_scalars( name: str | None, preference: str = 'cell', allow_missing: bool = False, ) → tuple[FieldAssociation, NumpyArray[float]][source]#

Find the scalars by name and appropriately set it as active.

To deactivate any active scalars, pass None as the name.

Parameters:

namestr or None: Name of the scalars array to assign as active. If None, deactivates active scalars for both point and cell data.
preferencestr, default: “cell”: If there are two arrays of the same name associated with points or cells, it will prioritize an array matching this type. Can be either 'cell' or 'point'.
allow_missingbool, default: False: Allow missing scalars in part of the composite dataset. If all blocks are missing the array, it will raise a KeyError.

Returns:

pyvista.core.utilities.arrays.FieldAssociation: Field association of the scalars activated.
numpy.ndarray: An array from the dataset matching name.

Notes

The number of components of the data must match.