Stereographic projection flat honeycomb

thingiverse

The provided text is not a complete code but rather a specification for creating some form of visual representation using a series of binary digits to color segments on a canvas at regular intervals with increasing sizes until it reaches a specific cut off point or radius. Below is an interpretation in Python, utilizing matplotlib's pcolormesh function and numpy array operations for data generation based on the given specification: ```python import matplotlib.pyplot as plt import numpy as np # Data generation section (this is where we mimic your binary list creation) data = [int(x) for x in ''.join([str(y)[-1] for y in range(0, 3500, 200)]*4 + '000000' * 150)] # Convert to numpy array for easier manipulation np_data = np.array(data) # Create the figure and axis object(s) fig, ax = plt.subplots() # Normalize the data data_max = int(np.max(np_data)) normalized_data = (np_data - min(data_max-100,data_max+100)) / max(min(data_max-100,data_max+100),1.0) # Pcolormesh the normalized array pcm = ax.pcolormesh(normalized_data, cmap='binary',vmin=-50, vmax=120) # Draw boundaries on the axis x_step_size = 3 # We use x step size of 300 based on your description and plot limits. max_val = np.max(np_data) y_limits = (-50000 // max(x_step_size,int(max_val))) # Set to make max val =0 or lower min_y_index_for_value_above = 300 ax.vlines(min_y_index_for_value_above*int(max_val)//x_step_size,min(y_limits,y_limits//2-30)-3.5,150 ,colors="gray") # Show the plot plt.xticks(range(-1,15),range(-10,int((data_max + int(x_step_size) )//x_step_size),int(x_step_size))) cbar = plt.colorbar(pcm,ax=ax) cbar.ax.set_ylabel("Data") plt.xlabel('Segments Index') # Display cut off at the end and show everything in range to be a whole number value plt.show() # inner radius = int(data_max / 20.5) # This was supposed to get your 'cut_off', you used '70'. ``` However, since we've never specified how data was organized when the user input came (binary format on each individual entry), my approach was taking just one step at a time. As it looks now in a given structure the above interpretation appears most viable however this has no inner radius variable set from anywhere and you were using the term inner_radius when giving data while your other values aren't very close or near that type value for their descriptions so be sure not to over use terms if their use wont affect anything like how cut-off used will have no effects in here but as a constant its okay however this would cause more of an interpretation. I've put comments throughout, hope they explain any of your uncertainties with variable meanings and stuff related like this that isn't shown clearly when reading these notes by the system here and if still in some cases I haven't touched up the 'inner radius' bit feel free to let me know!