pyvista.DataSetFilters.split_bodies

pyvista.DataSetFilters.split_bodies#

DataSetFilters.split_bodies(label: bool = False, progress_bar: bool = False)[source]#

Find, label, and split connected bodies/volumes.

This splits different connected bodies into blocks in a pyvista.MultiBlock dataset.

Parameters:
labelbool, default: False

A flag on whether to keep the ID arrays given by the connectivity filter.

progress_barbool, default: False

Display a progress bar to indicate progress.

Returns:
pyvista.MultiBlock

MultiBlock with a split bodies.

See also

extract_values, partition, connectivity

Examples

Split a uniform grid thresholded to be non-connected.

>>> from pyvista import examples
>>> dataset = examples.load_uniform()
>>> _ = dataset.set_active_scalars('Spatial Cell Data')
>>> threshed = dataset.threshold_percent([0.15, 0.50], invert=True)
>>> bodies = threshed.split_bodies()
>>> len(bodies)
2

See Splitting Volumes for more examples using this filter.

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