- DelaunayVoronoiDual.find_nearby_pores(pores, r, flatten=False, include_input=False)¶
Find all pores within a given radial distance of the input pore(s) regardless of whether or not they are toplogically connected.
pores (array_like) – The list of pores for whom nearby neighbors are to be found
r (scalar) – The maximum radius within which the search should be performed
include_input (bool) – Controls whether the input pores should be included in the list of pores nearby the other pores in the input list. So if
pores=[1, 2]and 1 and 2 are within
rof each other, then 1 will be included in the returned for pores near 2, and vice-versa if this argument is
True. The default is
flatten (bool) – If
Truereturns a single list of all pores that match the criteria, otherwise returns an array containing a sub-array for each input pore, where each sub-array contains the pores that are nearby to each given input pore. The default is False.
A list of pores which are within the given spatial distance.
If a list of N pores is supplied, then a an N-long list of
such lists is returned. The returned lists each contain the
pore for which the neighbors were sought.
>>> import openpnm as op >>> pn = op.network.Cubic(shape=[3, 3, 3]) >>> Ps = pn.find_nearby_pores(pores=[0, 1], r=1) >>> print(Ps) [3 9] >>> print(Ps) [ 2 4 10] >>> Ps = pn.find_nearby_pores(pores=[0, 1], r=0.5) >>> print(Ps) [array(, dtype=int64), array(, dtype=int64)] >>> Ps = pn.find_nearby_pores(pores=[0, 1], r=1, flatten=True) >>> print(Ps) [ 2 3 4 9 10]