Скачать или смотреть How to Plot 2D Histograms from a List of Lists in Python

Discover how to effortlessly plot `2D histograms` using lists in Python. Follow our step-by-step guide to create engaging heatmaps using matplotlib and numpy!
---
This video is based on the question https://stackoverflow.com/q/68844985/ asked by the user 'jeny ericsoon' ( https://stackoverflow.com/u/16509392/ ) and on the answer https://stackoverflow.com/a/68847694/ provided by the user 'Marcos Gôlo' ( https://stackoverflow.com/u/16359080/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to plot 2d histograms from a list of lists?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
How to Plot 2D Histograms from a List of Lists in Python

There might be times when you have data logged into a structured format like a list of lists in Python, and you want to visualize this data effectively. One common visualization is a 2D histogram, also known as a heatmap. In this post, we will explore how to transform your list of lists into a stunning 2D histogram using Python libraries such as matplotlib and numpy. Let's get started!

Understanding the Data Structure

Suppose you have the following data stored as a list of lists:

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

Data Breakdown

Each sub-list consists of three values:

The first value represents the X-coordinate

The second value represents the Y-coordinate

The third value represents the cell value or intensity at that point

This structure is perfect for creating a 2D histogram, where the X and Y coordinates correspond to grid positions and the third value determines the color intensity in the heatmap.

Steps to Plot the 2D Histogram

To plot this data as a 2D heatmap, follow these clear and structured steps:

Step 1: Import Required Libraries

First, make sure you have matplotlib and numpy installed. If you don’t have them yet, you can install them using pip:

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

Next, start your code by importing the libraries:

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

Step 2: Transform Data

To plot the data, you will need to transpose your list of lists (convert rows to columns). You can do this using numpy as shown below:

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

Step 3: Create Subplots

Set up the subplots for various visual representations. Here’s how to create a single figure with multiple subplots:

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

Step 4: Plot the Data

Now, we can plot the data in multiple ways to visualize it better:

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

Step 5: Display the Plot

Finally, call the plt.show() function to display your plots:

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

Complete Example Code

Here’s the complete code snippet for a quick reference:

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

Conclusion

Plotting 2D histograms from a list of lists is a simple and effective way to visualize complex data. By following the steps outlined above, you can easily create informative plots that help to represent data in an engaging manner. Whether you’re analyzing research data, visualizing sales figures, or just playing around with data manipulations, these techniques can enhance your Python data visualization skills. Happy plotting!