Скачать или смотреть Resolving the cannot unpack non-iterable AxesSubplot object Error in Matplotlib

Learn how to fix the common Matplotlib error `cannot unpack non-iterable AxesSubplot object` when creating multiple subplots. Follow our step-by-step guide for a smooth implementation.
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This video is based on the question https://stackoverflow.com/q/64413606/ asked by the user 'Nicolò Raccichini' ( https://stackoverflow.com/u/14461419/ ) and on the answer https://stackoverflow.com/a/64413869/ provided by the user 'gboffi' ( https://stackoverflow.com/u/2749397/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Understanding the Error: cannot unpack non-iterable AxesSubplot object

When working with the Matplotlib library in Python, users occasionally encounter the error: cannot unpack non-iterable AxesSubplot object. This issue often arises when trying to create multiple subplots that share axes. Let’s take a closer look at what this means and how we can resolve it effectively.

The Context of the Problem

Imagine you are trying to visualize two parallel graphs that share the same axes using a function named PlotManager. The intention is to create a figure containing two subplots stacked vertically. The error typically occurs during the unpacking of subplot objects. Here’s a quick look at the problematic line of code in the example:

[[See Video to Reveal this Text or Code Snippet]]

Why the Error Occurs

In your implementation, the function fig.subplots(...) is utilized to create subplots relative to an existing figure object. However, it behaves differently than plt.subplots(...), which directly returns the figure along with the axes.

Here is the breakdown:

When you use plt.subplots(2, 1, ...), it returns a tuple with the figure and the axes, allowing for straightforward unpacking.

Conversely, fig.subplots(2, 1, ...) returns the axes directly because the figure is already established in fig.

This results in code that looks like this when unpacking:

[[See Video to Reveal this Text or Code Snippet]]

This leads to a TypeError, as you cannot unpack a single Axes instance into multiple variables.

Solutions to Fix the Error

To correct this error, we need to adjust how we unpack the axes. Here’s how to do that clearly and effectively:

Use Direct Unpacking

Replace your initial line with the following code to ensure proper unpacking of axes without attempting to unpack the figure itself:

[[See Video to Reveal this Text or Code Snippet]]

This adjustment allows you to directly receive the two subplot axes without confusing the unpacking process.

Final Thoughts

By making this simple tweak to your existing code, you can successful avoid the cannot unpack non-iterable AxesSubplot object error and facilitate the seamless visualization of your data. This modification underscores the importance of understanding how functions return objects in Python, particularly in libraries like Matplotlib.

Now, you can confidently proceed with creating your parallel graphs as intended! Happy coding!