Zig Zag pattern plot using python

 

import numpy as np

import matplotlib.pyplot as plt

size=10

x=np.arange(size)

y=np.where(x%2==0,1,0)

fig,ax=plt.subplots(figsize=(6,4))

plt.plot(x,y,marker='o',linestyle='-',color='orange',markersize=8,linewidth=2)

ax.set_xlim(-1,size)

ax.set_ylim(-0.5,1.5)

ax.set_xticks([])

ax.set_yticks([])

ax.set_frame_on(False)

plt.title('Zig zag pattern plot')

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Import Required Libraries

import numpy as np

import matplotlib.pyplot as plt

numpy is used to generate numerical arrays.

matplotlib.pyplot is used to create and display the zigzag plot.

2. Define the Number of Zigzag Points

size = 10  # Change this for more or fewer zigzags

The variable size determines the number of points in the zigzag pattern.

Increasing this value makes the zigzag longer.

3. Create X and Y Coordinates

x = np.arange(size)  # X coordinates (0,1,2,...)

y = np.where(x % 2 == 0, 1, 0)  # Alternate Y values (1, 0, 1, 0, ...)

x = np.arange(size) generates an array [0, 1, 2, ..., size-1], representing evenly spaced x-coordinates.

y = np.where(x % 2 == 0, 1, 0) assigns alternating y values:

If x is even, y = 1 (peak).

If x is odd, y = 0 (valley).

This creates the zigzag effect.

Example of x and y values for size = 10:

x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

y = [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]

4. Create the Figure and Axis

fig, ax = plt.subplots(figsize=(6, 4))

plt.subplots() creates a figure (fig) and an axis (ax).

figsize=(6,4) makes the plot 6 inches wide and 4 inches tall.

5. Plot the Zigzag Pattern

plt.plot(x, y, marker='o', linestyle='-', color='b', markersize=8, linewidth=2)

plt.plot(x, y, ...) plots the zigzag pattern.

marker='o' adds circular markers at each point.

linestyle='-' connects the points with a solid line.

color='b' makes the line blue.

markersize=8 controls the size of the circles.

linewidth=2 makes the line thicker.

6. Adjust the Axis for a Clean Look

ax.set_xlim(-1, size)

ax.set_ylim(-0.5, 1.5)

ax.set_xlim(-1, size): Ensures the x-axis starts a little before 0 and ends at size.

ax.set_ylim(-0.5, 1.5): Ensures the y-axis has enough space above and below the zigzag.

ax.set_xticks([])

ax.set_yticks([])

ax.set_frame_on(False)

ax.set_xticks([]): Removes x-axis tick marks.

ax.set_yticks([]): Removes y-axis tick marks.

ax.set_frame_on(False): Hides the frame for a clean look.

7. Display the Plot

plt.show()

Displays the zigzag pattern.