Plotting repeated x-axis ranges with plotly and networkx

I need to draw a networkx graph with x axis ranges are repeating, such as 0-100, 0-100,0-100 etc. Nodes are distributed along these x axis domains and there can be edges connecting the nodes between different domains. To make it easier to understand, I share an image below that is similar to how I want x-axis to be, but with plotly. I label each node with their corresponding domain number, 12 or 13, in a dataframe column. An example is

Node 1 | Node 2 | y axis | x1 | domain
1534   945             20    22803603   13
945    946             10    32494954   12
946    -               9     32530403   12

where the edges are represented with Node1-Node2 and the rest of the columns belong to Node1. The last row doesnโ€™t connect to another node. Example code is

import networkx as nx
import matplotlib.pyplot as plt

fig = plt.figure(figsize=(10,10))
ax = fig.add_subplot(111)

G = nx.DiGraph()


ax.tick_params(left=True, right=True, top=True, bottom=True, labelleft=True, labelbottom=True)

I follow the example here by just replacing random graph with the G above: Network graphs in Python

This is the example figure. I donโ€™t care about the shape of the nodes or the curvature of edges. All I care is the x-axis formatting.

enter image description here