How to Generate and Plot Random Samples from a Power-Law Distribution in Python?

To generate random samples from a power-law distribution in Python, use the numpy library for numerical operations and matplotlib for visualization. Here’s a minimal code example to generate and visualize random samples from a power-law distribution: First, we import the necessary libraries: numpy for generating the power-law distributed samples and matplotlib.pyplot for plotting. The a … Read more

Visualizing Wealth: Plotting the Net Worth of the World’s Richest in Log/Log Space

The distribution of wealth, especially when it comes to the ultra-wealthy, is a subject of immense fascination and study. It can reveal patterns and insights into economic structures, inequality, and financial dynamics at the highest levels. One of the most revealing ways to examine this distribution is through a log/log plot of the net worths … Read more

Matplotlib Colors: A Comprehensive Guide for Effective Visualization

Here’s a minimal example of using colors in Matplotlib. This example creates a simple line plot with a specified color: In this minimal code example, plt.plot(x, y, color=’red’) creates a line plot of x versus y, with the line color set to red. You can replace ‘red’ with other color names like ‘blue’, ‘green’, etc., … Read more

Towards Reverse Engineering Matplotlib Code From Images

I tried a few helpful applications of Google Bards Image Recognition capabilities for coders. I don’t know about you but I often see beautiful plots (e.g., in research papers or data science reports) and wonder how I could recreate them. Well, Google Bard to the rescue! βœ… Reverse Engineer Exponential Plot in 2D First, let’s … Read more

(Fix) ValueError: Argument Z must be 2-dimensional

Problem Formulation The output when running this code is as follows Warning (from warnings module): File “C:\Users\xcent\Desktop\”, line 10 ax = fig.gca(projection=’3d’) MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current … Read more

How Do I Make a 3D Waterfall Plot with Colored Heights in Python?

To generate a 3D waterfall plot with colored heights create a 2D sine wave using the NumPy meshgrid() function, then apply a colormap to the heights using Matplotlib’s Normalize function. The plot_surface() function generates the 3D plot, while the color gradient is added using a ScalarMappable object. Here’s a code example for copy and paste: … Read more

Python 🐍 Put Legend Outside Plot πŸ“ˆ – Easy Guide

Are you tired of feeling boxed in by your Python plots and ready to break free from the constraints of traditional legend placement? In this guide, I’ll show you how to put legends outside your plot for (click to 🦘 jump): Let’s start with the first! πŸ‘‡πŸ‘©β€πŸ’» Matplotlib Put Legend Outside Plot Let’s start with … Read more

Python Matplotlib Makes Conway’s Game of Life Come Alive

In this article, you’ll learn how to make this beautiful and interesting animation using only Python, NumPy, and Matplotlib — nothing else: πŸ‘‡ But how does the Game of Life work – and what’s behind the classical visualization anyways? The Game of Life Conway’s Game of Life is a cellular automaton devised by the British … Read more