Need to highlight regions, create annotations, or add geometric shapes to your plots? This guide shows exactly how to draw rectangles in Matplotlib using patches.Rectangle—from crisp outlines to transparent overlays, labels, multiple boxes, subplots, and more. Copy-paste the code … [Read more...] about Matplotlib Draw Rectangle: Add, Fill, Annotate & Highlight Regions (Step-by-Step)
Python
How To Make Lower Triangular Heatmap with Python?
Heatmaps are a great way to quickly visualize the actual data coded as colors. Heatmaps of correlation matrix is useful to understand the relationship between multiple features or variable. However, since the correlation matrix is symmetric, it is more useful to make heatmap of … [Read more...] about How To Make Lower Triangular Heatmap with Python?
How To Color Scatterplot by a variable in Matplotlib?
Scatterplots between two numerical variables are great to see the relationship between them. Adding colors to the data points based on the third categorical variable is often useful in understanding the relationship among the three variables. In this post, we will learn how to … [Read more...] about How To Color Scatterplot by a variable in Matplotlib?
How to Make Scatterplot with Marginal Density Plots with Seaborn
In this tutorial, we will use Seaborn and learn how to make a scatterplot between two quantitative variables with marginal density plots on the sides. We will use Seaborn's JointGrid() to define the features of the plot and then add scatter plot on top first and then add … [Read more...] about How to Make Scatterplot with Marginal Density Plots with Seaborn
How To Make Scatterplot with marginal boxplots with Seaborn ?
In this post, we will learn how to make a scatterplot with marginal boxplots using Seaborn in Python. To make a scatterplot we will use some of Seaborn's powerful but not very well known functionalities. More specifically, we will use Seaborn's JointGrid() to set up the plot … [Read more...] about How To Make Scatterplot with marginal boxplots with Seaborn ?