<｜begin▁of▁sentence｜>### Instruction:
Given a graph `g` that is loaded from a dataset and contains positions for each vertex, can you use the PlotlyEdgeDrawer class to draw the graph and visualize it using Plotly in a Jupyter notebook?
### Response:
import igraph as ig
import plotly.graph_objs as go

# Assuming you have a graph `g`
g = ig.Graph.Famous('Zachary')

# Generate Plotly figure
fig = go.Figure()

# Create edges
for edge in g.es:
    start_idx, end_idx = edge.tuple
    x0, y0 = g.vs[start_idx]['x'], g.vs[start_idx]['y']
    x1, y1 = g.vs[end_idx]['x'], g.vs[end_idx]['y']
    fig.add_trace(go.Scatter(x=[x0, x1], y=[y0, y1],
                             mode='lines',
                             line=dict(width=1, color='black')))

# Create nodes
for v in g.vs:
    fig.add_trace(go.Scatter(x=[v['x']], y=[v['y']],
                             mode='markers+text',
                             text=[str(v.index)],
                             textposition='bottom center'))

fig.update_layout(showlegend=False)
fig.show()
<|EOT|>
