# Input Path in_path = './sample_data/sample_2.csv' # Load Demo data with columns [x_position y_position flag] data_2d = np.loadtxt(in_path, delimiter=",") If you ...

This file was inspired by list-comprehension-demos skin(): The profiles can be specified either as a list of 3d curves or they can be specified as 2d curves with heights ... connecting a discrete ...