Problem Formulation: Data visualization often requires the representation of multiple datasets side-by-side for comparison. In Python, using Plotly, one may want to create a single figure containing multiple subplots. This article discusses how to take separate Plotly figures and organize them into subplots within one encompassing figure.

Plotly is an open-source Python library for creating charts. You can use the features available in Plotly to set multiple figures as subplots. In this tutorial, we will use plotly.graph_objects to generate the figures. It contains a lot of methods to customize chart and render a chart into HTML format.

Here, we parsed a Python tuple containing the titles of each plot to the argument. Then in the add_trace() function, we specified on which row and in which column in the grid we wanted each plot to be. As you have seen, it is very simple and easy to build multiple graphs as subplots in plotly using Python.

The shared_yaxes argument to make_subplots can be used to link the y axes of subplots in the resulting figure. Here is an example that creates a figure with a 2 x 2 subplot grid, where the y axes of each row are linked. To share colorscale information in multiple subplots, you can use coloraxis.