Gradient Wave Pattern Using Python

 

import matplotlib.pyplot as plt

import numpy as np

x=np.linspace(0,10,500)

y_base=np.sin(x)

fig,ax=plt.subplots(figsize=(8,6))

for i in range(10):

    y_offset=i*0.1

    alpha=1-i*0.1

    ax.fill_between(x,y_base-y_offset,y_base+y_offset,color='royalblue',alpha=alpha)

ax.set_xticks([])

ax.set_yticks([])

ax.set_xlim(0,10)

ax.set_ylim(-2,2)

plt.title("Gradient wave pattern")

plt.show()

#source code --> clcoding.com

Code Explanation:

1. Import Required Libraries

import numpy as np

import matplotlib.pyplot as plt

numpy (np): Used for numerical operations, especially to generate x-values.

matplotlib.pyplot (plt): Used for plotting the wave patterns.

 2. Define the Wave Parameters

x = np.linspace(0, 10, 500)  # X-axis range

y_base = np.sin(x)  # Base sine wave

np.linspace(0, 10, 500): Creates 500 evenly spaced points between 0 and 10 (smooth x-axis).

np.sin(x): Generates a sine wave for a smooth oscillating wave pattern.

 3. Create a Gradient Effect by Stacking Multiple Waves

fig, ax = plt.subplots(figsize=(8, 6))

plt.subplots(figsize=(8, 6)): Creates a figure (fig) and an axis (ax) with an 8×6-inch size.

 or i in range(10):  # 10 overlapping waves

    y_offset = i * 0.1  # Offset to create depth effect

    alpha = 1 - i * 0.1  # Decreasing opacity for fading effect

    ax.fill_between(x, y_base - y_offset, y_base + y_offset, color='royalblue', alpha=alpha)

Loops through 10 layers to create a stacked wave effect.

y_offset = i * 0.1: Shifts each wave slightly downward to create depth.

alpha = 1 - i * 0.1: Controls transparency (1 = opaque, 0 = invisible), making waves fade gradually.

fill_between(x, y_base - y_offset, y_base + y_offset):

Fills the area between two curves.

Creates the gradient shading effect.

 4. Formatting the Plot

ax.set_xticks([])  # Remove x-axis ticks

ax.set_yticks([])  # Remove y-axis ticks

ax.set_frame_on(False)  # Remove the plot border

ax.set_xlim(0, 10)  # X-axis range

ax.set_ylim(-2, 2)  # Y-axis range

Removes ticks and frames for a clean, artistic appearance.

Sets axis limits so that the wave pattern is well-contained.

 5. Display the Plot

plt.show()

Renders and displays the final gradient-shaded wave pattern.