How Can AxesSubplots be Created and Used Independently of Matplotlib Figures?

Independent Creation and Integration of AxesSubplots in Matplotlib

In Matplotlib, creating AxesSubplot objects and adding them to Figure instances is commonly performed using the Figure.add_subplot method. However, a desire may arise to establish AxesSubplot-like objects independent of Figures to facilitate their utilization in multiple Figure instances.

Solution

Decoupling the creation of AxesSubplots and Figures is indeed feasible. Two primary approaches can be adopted:

1. Passing AxesSubplot Instances as Function Arguments

• Create a function that accepts an AxesSubplot instance as an argument.
• Within the function, perform operations on the passed AxesSubplot.

2. Adding AxesSubplots to Existing Figures

• Create AxesSubplot instances.
• Append the AxesSubplot instances to Figure instances using the axes.append attribute.

Example

To illustrate the second approach, we can create a function that plots a graph on a specified AxesSubplot:

def plot_axes(ax, fig=None, geometry=(1,1,1)):
    if fig is None:
        fig = plt.figure()
    if ax.get_geometry() != geometry :
        ax.change_geometry(*geometry)
    ax = fig.axes.append(ax)
    return fig

Usage

• Create AxesSubplots independently of Figures.
• Use the plot_axes function to add the created AxesSubplots to Figure instances with optional customization (e.g., geometry adjustments).

Advantages of Independent AxesSubplot Creation

• Greater flexibility in managing and reusing AxesSubplots across Figure instances.
• Reusable code for common plotting operations.
• Simplified plotting workflows.

By employing these techniques, it becomes possible to create and utilize AxesSubplots independently of Figures, enhancing the flexibility and convenience of Matplotlib plotting routines.

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