Exploring Mary's Humanising Junction: A Multidimensional Analysis
Description
The 3D scatter plot offers a visual representation of Mary's Humanizing Junction, providing insights into the interconnectedness of these dimensions. Points closer together indicate a harmonious relationship between dimensions, while colour variations and scatter plot size convey additional theological nuances. Through the innovative use of a multidimensional approach and a 3D scatter plot, the code offers a novel perspective on Mary's multifaceted role. This visual representation invites further contemplation on the theological dimensions surrounding Mary, contributing to a deeper understanding of her significance in Christian theology.
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Steps to reproduce
import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # Define the mathematical equation def marys_humanizing_junction(ehj, ama, vb, cwha, vc): return np.sqrt(np.power(ehj * ama * vb * cwha * vc, 1/5)) # Number of simulations num_simulations = 100 time = np.linspace(0, 1, num_simulations) # Generate simulated data for each concept ehj = np.random.rand(num_simulations) ama = np.random.rand(num_simulations) vb = np.random.rand(num_simulations) cwha = np.random.rand(num_simulations) vc = np.random.rand(num_simulations) # Calculate Mary's Humanizing Junction for each simulation mhj = marys_humanizing_junction(ehj, ama, vb, cwha, vc) # Create a 3D scatter plot fig = plt.figure(figsize=(10, 8)) ax = fig.add_subplot(111, projection='3d') # Scatter plot with color representing one dimension scatter = ax.scatter(ehj, ama, vb, c=mhj, cmap='viridis', s=50) # Add labels and colorbar ax.set_xlabel('EHJ') ax.set_ylabel('AMA') ax.set_zlabel('VB') ax.set_title("Mary's Humanizing Junction in 3D Space") fig.colorbar(scatter, label="Mary's Humanizing Junction") plt.show()