<｜begin▁of▁sentence｜>### Instruction:
Given 30 nodes placed uniformly at random in a 2-dimensional space, can you generate a geographical threshold graph with threshold value 0.1, using the taxicab metric instead of the default Euclidean metric, and plot the resulting graph?
### Response:
import networkx as nx
import numpy as np

# Function defining the taxicab metric
def taxicab_metric(x, y):
    return sum(abs(a - b) for a, b in zip(x, y))

# Generate a geographical threshold graph using the taxicab metric
G = nx.geographical_threshold_graph(30, 0.1, dim=2, metric=taxicab_metric, seed=42)

# Draw the graph
pos = nx.get_node_attributes(G, 'pos')
nx.draw(G, pos, node_size=20, with_labels=True)
<|EOT|>
