I’m currently exploring ways to visualize data distributions in Python, and I came across hexbin plots as a possible solution. I have a dataset with thousands of data points, and I would like to see the distribution of these points in a clear and informative way. I found out that hexbin plots can be a great option for this purpose, as they can represent the density of points in a 2D space using a color-coded grid of hexagons.
Here’s a code snippet that I came up with to create a hexbin plot using matplotlib and numpy:
While this code works fine for my purposes, I’m curious to know if there are any alternative ways to create hexbin plots in Python. Also, I’d appreciate any feedback or suggestions on how to improve my code and make the plot more informative.
Thanks in advance for your help!