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Spiralweb using Python
3 min readSep 9, 2024
import matplotlib.pyplot as plt
import numpy as np
num_lines = 50; num_turns = 10; num_points = 1000
fig, ax = plt.subplots(figsize=(6, 6))
theta = np.linspace(0, num_turns * 2 * np.pi, num_points)
r = np.linspace(0, 1, num_points)
x = r * np.cos(theta)
y = r * np.sin(theta)
ax.plot(x, y, color='black')
for i in range(num_lines):
angle = 2 * np.pi * i / num_lines
x_line = [0, np.cos(angle)]
y_line = [0, np.sin(angle)]
ax.plot(x_line, y_line, color='black', linewidth=0.8)
ax.axis('off')
plt.show()
# Source code --> clcoding.com
Here’s an explanation of each part of your Python code:
Import Statements:
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.pyplot as plt
: Imports thepyplot
module from theMatplotlib
library, which is widely used for creating static, animated, and interactive visualizations in Python. The aliasplt
is used to make the code cleaner and easier to read.import numpy as np
: Imports thenumpy
library, which provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. It is used here for numerical calculations, such as generating evenly spaced values and performing trigonometric calculations.