def densify(targetNodes, factor):
for i, curr in enumerate(targetNodes):
if (i == len(targetNodes) - 1): break
next = targetNodes[i + 1]
parent = curr.getparent()
# Obtain data from both current and next nodes
nodes = {'curr': curr, 'next': next}
for key, node in nodes.items():
nodes[key] = {
# 'time': DateTime.strptime(node[0].text, '%Y-%m-%dT%H:%M:%SZ'),
'lat': float(node.attrib['lat']),
'lon': float(node.attrib['lon']),
'node': node,
}
# using the geodata, create a virtual line to get information.
line = Geo([nodes['curr']['lat'], nodes['curr']['lon']],
[nodes['next']['lat'], nodes['next']['lon']])
# subdivide the line into corresponding chunks and add the to the tree after curr
for j in range(factor):
pointC = line.point(line.distance * (1 / (j + 1)))
node = DeepCopy(curr)
node.attrib['lat'] = '%.7f' % round(pointC[0], 7)
node.attrib['lon'] = '%.7f' % round(pointC[1], 7)
curr.addnext(node)
