I'm making a meshgrid to represent background radiation levels, but I'd like it to be less noisy. My implementation is trivial, I've plotted import numpy as np x = np.linspace(-2, 2, 100) y = np.linspace(-2, 2, 100) X, Y = np.meshgrid(x, y) Z = np.random.rand(100,100) here's a picture I'd like each pixel to not deviate too much from those around it, while at the same time having sufficient global variation. My initial thought is to make a coarser grid, and use those values as reference values to build a finer grid, but I'm not sure how I'd implement this or if there's a better approach. Continue reading...
