Скачать или смотреть How to Fix Error in Plotting Due to Indexing in Python matplotlib

Discover how to fix the error of having multiple plots instead of one in Python `matplotlib`. This guide walks you through the solution step by step!
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This video is based on the question https://stackoverflow.com/q/65285714/ asked by the user 'Raghwendra' ( https://stackoverflow.com/u/13199885/ ) and on the answer https://stackoverflow.com/a/65286621/ provided by the user 'Diziet Asahi' ( https://stackoverflow.com/u/1356000/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Solving Plotting Issues in Python: A Guide to Indexing Errors

When working with matplotlib, one common frustration for beginners is having their plotted curves appear on separate figures instead of a single cohesive plot. This often occurs due to the way figures and axes are managed in your code. If you've faced this issue, don't worry! This guide will help you troubleshoot and fix it step by step.

The Problem: Unwanted Multiple Plots

Imagine you have a Python script that includes a for loop intended to create multiple curves on one graph. Instead of seeing all curves together, you end up with separate plots for each iteration of your loop. This can be confusing and quite frustrating for any beginner.

Here's an Example

In a sample code snippet, the user is attempting to plot five different curves using the following loop structure:

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

The intention here was to create a single plot with five curves representing different data points, but instead, the user saw five individual plots.

The Solution: Create a Single Figure Before the Loop

Key Adjustment

To resolve this issue, you need to create the figure and the axis outside of the loop. By doing so, you ensure that all plotting commands are directed to the same figure, rather than creating a new figure on each iteration.

Here’s how to modify your code:

Step-by-Step Fix

Create the Figure and Axes: Move the figure and axis creation lines before the start of the for loop.

Plot Within the Loop: Call the plotting functions within the loop, but keep the plt.show() call outside the loop so it displays only one figure with all curves.

Revised Code Example

Here’s the corrected version of your code:

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

Explanation of the Code

Figure Creation: The fig and ax1 variables are created outside the for loop, ensuring all plots are drawn on the same axis.

Logarithmic Plotting: The ax1.loglog() function is used to plot each curve correctly.

Dynamic Color Coding: The line with color='C{}'.format(i) allows for dynamic colors per curve for better differentiation.

Conclusion

By following these straightforward steps, you can fix the issue of having multiple plots instead of a single one in matplotlib. Understanding how to properly manage figures and axes in your plotting code is essential for creating effective visualizations in Python. Whether you are a beginner or just brushing up your skills, mastering this fundamental concept can significantly enhance your data visualization capabilities.

Now, get back to plotting those curves and enjoy the visualization journey! If you have further questions, feel free to reach out. Happy coding!