Matplotlib Colormap Normalization: Visualizing Nonlinear Data
In data visualization, colormaps are used to represent numerical data through color. However, sometimes the data distribution may be nonlinear, which can make it difficult to discern the details of the data. In such cases, colormap normalization can be used to map colormaps onto data in nonlinear ways to help visualize the data more accurately. Matplotlib provides several normalization methods, including SymLogNorm and AsinhNorm, which can be used to normalize colormaps. This lab will demonstrate how to use SymLogNorm and AsinhNorm to map colormaps onto nonlinear data.
Tags: labex, python, coding, programming