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22 lines
783 B
Python
22 lines
783 B
Python
from scipy.spatial import cKDTree as KDTree
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import networkx as nx
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from . import NetworkAgent, as_node
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class Geo(NetworkAgent):
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"""In this type of network, nodes have a "pos" attribute."""
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def geo_search(self, radius, node=None, center=False, **kwargs):
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"""Get a list of nodes whose coordinates are closer than *radius* to *node*."""
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node = as_node(node if node is not None else self)
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G = self.subgraph(**kwargs)
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pos = nx.get_node_attributes(G, "pos")
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if not pos:
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return []
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nodes, coords = list(zip(*pos.items()))
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kdtree = KDTree(coords) # Cannot provide generator.
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indices = kdtree.query_ball_point(pos[node], radius)
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return [nodes[i] for i in indices if center or (nodes[i] != node)]
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