How to Create Dynamic Subplots with Bar, Pie, and Polar Charts in Plotly (Python)
Learn how to use Plotly in Python to build flexible subplot layouts combining bar, pie, and polar charts, with step-by-step code examples, troubleshooting tips, and best practices for arranging multiple visualizations on a single page.
Preface
In a recent Python discussion group, a user reported an error when trying to reposition a pie chart within a subplot layout using Plotly. The goal is to create an n × n grid of subplots that can contain bar and pie charts in any order.
Implementation
The following code demonstrates how to build the required layout with make_subplots, add bar, pie, and polar charts, and adjust their positions.
from plotly.subplots import make_subplots
import plotly.graph_objects as go
fig = make_subplots(
rows=2,
cols=2,
specs=[[{'type': 'bar'}, {'type': 'pie'}],
[{'colspan': 2, 'type': 'Barpolar'}, None]],
)
fig.add_trace(go.Bar(y=[2, 3, 1]), row=1, col=1)
fig.add_trace(go.Pie(values=[2, 3, 1]), row=1, col=2)
fig.add_trace(go.Barpolar(theta=[0, 45, 90], r=[2, 3, 1]), row=2, col=1)
fig.update_layout(height=700, showlegend=True)
fig.show()The script produces the expected arrangement of charts, as shown below.
Conclusion
This article walks through a common Plotly plotting issue, explains the error, and provides a complete, runnable example that lets users generate flexible subplot grids containing bar, pie, and polar charts.
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