Concentric circle plot using python

import numpy as np

import matplotlib.pyplot as plt

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

num_circles=10

radii=np.linspace(0.2,2,num_circles)

for r in radii:

    circle=plt.Circle((0,0),r,color='b',fill=False,linewidth=2)

    ax.add_patch(circle)

ax.set_xlim(-2.5,2.5)

ax.set_ylim(-2.5,2.5)

ax.set_aspect('equal')

ax.set_xticks([])

ax.set_yticks([])

ax.spines['top'].set_visible(False)

ax.spines['bottom'].set_visible(False)

ax.spines['left'].set_visible(False)

ax.spines['right'].set_visible(False)

plt.title("Concentric circle plot")

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Import Required Libraries

import matplotlib.pyplot as plt

import numpy as np

matplotlib.pyplot: The core library for creating visualizations.

numpy: Used to generate evenly spaced values for the circle radii.

2. Create the Figure and Axis

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

fig, ax = plt.subplots() creates a figure (fig) and an axis (ax), which we use to draw our circles.

figsize=(6,6) ensures the figure is a square, keeping the circles proportionate.

3. Define the Circles

num_circles = 10  # Number of concentric circles

radii = np.linspace(0.2, 2, num_circles)  # Generate 10 radius values between 0.2 and 2

num_circles = 10: We want 10 circles.

np.linspace(0.2, 2, num_circles):

Generates 10 values between 0.2 (smallest circle) and 2 (largest circle).

These values represent the radii of the circles.

4. Draw Each Circle

for r in radii:

    circle = plt.Circle((0, 0), r, color='b', fill=False, linewidth=2)  # Blue hollow circles

    ax.add_patch(circle)

We loop through each radius in radii:

plt.Circle((0, 0), r, color='b', fill=False, linewidth=2):

(0,0): Sets the center at the origin.

r: Defines the radius of the circle.

color='b': Blue (b) outline color.

fill=False: Ensures only the outline is drawn, not a solid circle.

linewidth=2: Sets the thickness of the circle outline.

ax.add_patch(circle): Adds the circle to the plot.

5. Adjust the Plot

ax.set_xlim(-2.5, 2.5)

ax.set_ylim(-2.5, 2.5)

ax.set_aspect('equal')  # Ensures circles are perfectly round

ax.set_xlim(-2.5, 2.5) / ax.set_ylim(-2.5, 2.5):

Expands the plot’s limits slightly beyond the largest circle (radius 2).

ax.set_aspect('equal'):

Prevents distortion by ensuring equal scaling on both axes.

6. Hide Axes for a Clean Look

ax.set_xticks([])

ax.set_yticks([])

ax.spines['top'].set_visible(False)

ax.spines['right'].set_visible(False)

ax.spines['left'].set_visible(False)

ax.spines['bottom'].set_visible(False)

ax.set_xticks([]) / ax.set_yticks([]): Removes tick marks from the plot.

ax.spines[...]: Hides the border lines around the plot.

7. Display the Plot

plt.show()

plt.show() renders and displays the plot.