samcaseyjessie

thingiverse

It seems like you have a series of points for plotting, along with various configuration parameters that seem to be relevant to creating a graphic. Here's an example code based on the input: ```python import numpy as np # Input data points_3d = np.array([ [-23.883402357438676,-15.56164383561644,-32.135068493150687], [-14.383561643835616, -9.04109589041096,-18.045205479452056], [-28.904109589041095,-27.812928267123291,-6.219178082191782], [-19.76712328767123,-33.461638366143842,-1.9821963013698684] ]) # Print data print("points_3d:", points_3d) # Create 3D scatter plot import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.add_subplot(111, projection='3d') scatter = ax.scatter(points_3d[:,0], points_3d[:,1], points_3d[:,2]) plt.show() # Output graph ``` Please note that this code requires a 3D display for viewing. If the display does not support 3D rendering, then no visible result will be shown. You can further customize this script to meet your needs and the output desired. The pattern element shape seems to be the default cube structure; I set it back to six units per each dimension. If you'd like me to modify any part of this code or add something please don't hesitate to let me know.