DMT Grid Pattern using Python

import matplotlib.pyplot as plt

import numpy as np

from mpl_toolkits.mplot3d import Axes3D

fig=plt.figure(figsize=(6,6))

ax=fig.add_subplot(111,projection='3d')

x=np.linspace(-6*np.pi,6*np.pi,300)

y=np.linspace(-6*np.pi,6*np.pi,300)

x,y=np.meshgrid(x,y)

z=np.sin(x)*np.cos(y)+np.sin(y/2)*np.cos(x/2)

surf=ax.plot_surface(x,y,z,cmap='plasma',edgecolor='none',alpha=0.95)

ax.set_title('DMT Grid Pattern',fontsize=18,color='violet')

ax.set_xlabel('X Axis',color='white')

ax.set_ylabel('Y Axis',color='white')

ax.set_zlabel('Z Axis',color='white')

ax.grid(False)

ax.set_facecolor('black')

fig.patch.set_facecolor('black')

fig.colorbar(surf,shrink=0.5,aspect=5)

ax.xaxis.pane.fill=False

ax.yaxis.pane.fill=False

ax.zaxis.pane.fill=False

plt.tight_layout()

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Import Required Libraries

import numpy as np

import matplotlib.pyplot as plt

from mpl_toolkits.mplot3d import Axes3D

numpy: For efficient math operations and array handling.

matplotlib.pyplot: Used for plotting graphs and figures.

Axes3D: Enables 3D plotting capabilities in Matplotlib.

 2. Create a 3D Figure

fig = plt.figure(figsize=(10, 7))

ax = fig.add_subplot(111, projection='3d')

fig = plt.figure(...): Creates a blank figure with size 10x7 inches.

 add_subplot(111, projection='3d'): Adds one subplot (1 row, 1 column, 1 plot) with 3D capabilities.

 3. Generate the X and Y Coordinate Grid

x = np.linspace(-6 * np.pi, 6 * np.pi, 300)

y = np.linspace(-6 * np.pi, 6 * np.pi, 300)

x, y = np.meshgrid(x, y)

np.linspace(...): Creates evenly spaced values from -6π to 6π.

meshgrid: Turns 1D arrays into 2D grid coordinates for surface plotting.

 4. Define the Z-Values (Height of the Surface)

z = np.sin(x) * np.cos(y) + np.sin(y/2) * np.cos(x/2)

This creates a complex wave interference pattern by combining sine and cosine waves.

It gives the surface a psychedelic, rippling effect—like a neural or energy grid.

 5. Plot the 3D Surface

surf = ax.plot_surface(x, y, z, cmap='plasma', edgecolor='none', alpha=0.95)

plot_surface: Draws the 3D surface based on x, y, and z.

cmap='plasma': Sets the color theme to a glowing, trippy gradient.

edgecolor='none': Removes mesh lines for a smooth appearance.

alpha=0.95: Sets surface transparency (slightly see-through).

 6. Set Titles and Axis Labels

ax.set_title('DMTGrid', fontsize=18, color='violet')

ax.set_xlabel('X Axis', color='white')

ax.set_ylabel('Y Axis', color='white')

ax.set_zlabel('Consciousness', color='white')

Gives the plot a title and axis labels.

Label text color is white for contrast against the dark background.

"Consciousness" instead of "Z Axis" adds a fun, mystical touch.

 7. Style the Plot for Psychedelic Effect

ax.grid(False)

ax.set_facecolor('black')

fig.patch.set_facecolor('black')

Turns off gridlines for a cleaner visual.

Sets the background color to black — enhances the plasma colors.

 8. Add a Color Bar (Legend for the Z Values)

fig.colorbar(surf, shrink=0.5, aspect=5)

Adds a side bar that shows the value range of the surface colors.

shrink and aspect adjust its size and shape.

 9. Hide Pane Backgrounds

ax.xaxis.pane.fill = False

ax.yaxis.pane.fill = False

ax.zaxis.pane.fill = False

Removes the gray panes behind the axes to keep the focus on the colorful surface.

 10. Final Layout & Show Plot

plt.tight_layout()

plt.show()

tight_layout(): Automatically adjusts spacing so labels and titles don't overlap.

 show(): Displays the final 3D plot.