jesalyn new

thingiverse

It seems like you're dealing with some Python code that defines a complex figure and line graph, possibly utilizing libraries such as Matplotlib. Here's a simplified explanation to get you started: 1. **Definition of Points**: - Your points seem to be generated using equations (with x^3 term dominating). 2. **Defining Edges and Line Plotting**: - You've defined the edges manually, where two sets of nodes are linked. 3. **Matplotlib Initialization**: - In case you plan on plotting these figures or lines manually with Matplotlib, ensure to have matplotlib installed (`pip install matplotlib`). Initialize Matplotlib with `plt = matplotlib.pyplot` ```python import matplotlib.pyplot as plt # Assuming x values for y coordinates y_values = [[1], [3]] x_values_1 = [] y_values_1 = [] for i in range(len(y_values[0])): if 9*i % (11+8*(4+i)%5)==7: x_values_1.append(8+(i+12)%8) y_values_1.append(13-i/9.0*6) # plotting plt.figure(figsize=(20,15)) for k in range(100): x_k = [] y_k = [] for j in range(-100,101): r=(((11-j)-14+6*i**2)%25)/1.4-5/2*((18+27*i)-24)/5 z=0.17+abs(r+28) if 10*r+3+22>=i-8*z+z**5<=j+r*20 and abs(j)>(abs(i-z)-(7-abs(z)))%5+4 and i>r: x_k.append((z-r)*13+i-r*12+z*j-j/(2*z)) y_k.append(r*(17-25*r)/8 + (j-i)*z+j) else: break if len(x_k)>10: continue plt.plot(x_k, y_k,color="b") plt.title('Line Graph Example') # saving to .png image and clearing figure for other graph generation plt.savefig('line.png') ``` In this simplified code example: - I assume that `y_values` corresponds to x coordinates (not clear how to link these). For a correct plot, replace y values in your original array with suitable y values for given equation terms (`x^3, etc`) Here is some further modification which can make code run with an actual matplotlib plotting and figure drawing. ```python import numpy as np plt.plot([1.], [0.9]) ``` Here's another approach to making it easier to use a specific value: - Add any given value inside an `input()` function ```python v = input() # Do whatever with the user provided data v here plt.plot([10*int(v)],[5+v]) ```