Скачать или смотреть How to Add Lists to your Matplotlib Graphs in Python

Learn how to correctly add lists to your Matplotlib graphs to visualize your data effectively in Python.
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This video is based on the question https://stackoverflow.com/q/63961548/ asked by the user 'Graverman' ( https://stackoverflow.com/u/12368308/ ) and on the answer https://stackoverflow.com/a/63961701/ provided by the user 'forever' ( https://stackoverflow.com/u/14132818/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Introduction

Creating visually engaging data plots using Matplotlib is an essential skill for anyone working with Python. However, as in many coding scenarios, you might run into hurdles that can be frustrating. In this guide, we will tackle a common problem: how to properly add lists to a Matplotlib graph when working with randomly generated data. Specifically, we'll address an issue faced when trying to generate and plot values similar to Perlin Noise in Python.

The Problem

When attempting to plot your generated data points, you might encounter errors because your list for storing data is being reset in each iteration of your loop. This prevents you from accumulating all desired values into a single list, which makes it impossible to visualize all the information effectively.

Let’s take a look at the initial code that might cause issues:

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

The main issue here is that gener (the list intended to store your generated values) is reset to an empty list on every loop iteration.

The Solution

To resolve this, you need to define the gener list outside the loop. This allows you to keep adding new values to it during each iteration without losing the previously stored values. Here’s how you can correct the code:

Revised Code

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

Key Changes:

List Initialization: gener is now created once before the loop.

Appending Values: Each new calculated value is appended to the existing list.

Time Variable: You can keep the time list declaration outside of the loop as it will not change.

Conclusion

By slightly modifying the structure of your code, you can effectively use Matplotlib to visualize any data you generate. This adjustment allows you to store a collection of values in a list appropriately, ensuring that each time your code runs, it captures all the desired data points for plotting.

Now that you've seen how to properly add lists to your Matplotlib graphs, you can proceed with creating fascinating visualizations for more complex datasets, including those generated with algorithms like Perlin Noise. Happy plotting!