<｜begin▁of▁sentence｜>### Instruction:
How to create and visualize a thresholded random geometric graph with 100 nodes, where two nodes are joined by an edge if the sum of their randomly assigned weights is greater than or equal to 0.1 and their Euclidean distance is at most 0.2, using NetworkX?
### Response:
import networkx as nx
import numpy as np

# Set the random seed for reproducibility
np.random.seed(42)

# Parameters for the graph
n = 100  # number of nodes
radius = 0.2  # connection radius
theta = 0.1  # threshold

dim = 2  # dimensions

# Optional: generating random node positions and weights
pos = {i: (np.random.rand(dim),) for i in range(n)}
weights = {i: np.random.exponential() for i in range(n)}

# Create a thresholded random geometric graph
G = nx.thresholded_random_geometric_graph(n, radius, theta, dim=dim, pos=pos, weight=weights)

# Draw the graph
pos_attrs = nx.get_node_attributes(G, 'pos')
pos = {i: pos_attrs[i][0] for i in pos_attrs}  # Adjust pos format for drawing
nx.draw(G, pos, with_labels=True, node_size=20, font_size=8)
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