Cross pattern plot

 import matplotlib.pyplot as plt

x=[0,0,-1,1,0,0]

y=[-1,1,0,0,-2,2]

plt.scatter(x,y,color='red')

plt.axhline(0,color='black',linewidth=0.5)

plt.axvline(0,color='black',linewidth=0.5)

plt.xlim(-2,2)

plt.ylim(-2,2)

plt.grid(True)

plt.title('Cross pattern plot')

plt.show()

#source code --> clcoding.com 

Code Explanation:

1. Importing Matplotlib
import matplotlib.pyplot as plt

This imports matplotlib.pyplot, which is a library used for creating plots in Python.

2. Defining Coordinates for the Cross

x = [0, 0, -1, 1, 0, 0]  # X-coordinates

y = [-1, 1, 0, 0, -2, 2]  # Y-coordinates

The x and y lists define the positions of points that form a cross shape.

The points are:

(0, -1)

(0, 1)

(-1, 0)

(1, 0)

(0, -2)

(0, 2)

These points create a cross pattern, where (0, 0) is the center.

3. Plotting the Points Using scatter

plt.scatter(x, y, color='red')

This function plots individual points at the given (x, y) coordinates.

The points are displayed as red dots.

4. Drawing Reference Lines

plt.axhline(0, color='black', linewidth=0.5)  # Draws a horizontal line at y=0

plt.axvline(0, color='black', linewidth=0.5)  # Draws a vertical line at x=0

These lines enhance visibility of the cross pattern:

plt.axhline(0): Draws a black horizontal line at y = 0.

plt.axvline(0): Draws a black vertical line at x = 0.

This helps center the cross visually.

5. Setting Plot Limits

plt.xlim(-2, 2)  # Limits the x-axis from -2 to 2

plt.ylim(-2, 2)  # Limits the y-axis from -2 to 2

This ensures that the cross is fully visible within a square frame.

6. Enabling Grid

plt.grid(True)

Adds a grid to the plot for better visualization.

7. Adding a Title

plt.title("Cross Pattern Plot")

This sets the title of the plot.

8. Displaying the Plot

plt.show()

Finally, plt.show() displays the plot.