neurom.ezy.neuron.Neuron.iter_neurites

Neuron.iter_neurites(iterator_type, mapping=None, neurite_type=<TreeType.all: 32>)

Iterate over collection of neurites applying iterator_type

Parameters:

• iterator_type – Type of iterator with which to perform the iteration. (e.g. isegment, isection, i_section_path_length)
• mapping – mapping function to be applied to the target of iteration. (e.g. segment_length). Must be compatible with the iterator_type.
• neurite_type – TreeType object. Neurites of incompatible type are filtered out.

Returns:

Iterator of mapped iteration targets.

Example

Get the total volume of all neurites in the cell and the total length or neurites from their segments.

>>> from neurom import ezy
>>> from neurom.analysis import morphmath as mm
>>> from neurom.core import tree as tr
>>> nrn = ezy.load_neuron('test_data/swc/Neuron.swc')
>>> v = sum(nrn.iter_neurites(tr.isegment, mm.segment_volume))
>>> tl = sum(nrn.iter_neurites(tr.isegment, mm.segment_length)))