Arrow pattern plot using python

 

import numpy as np

import matplotlib.pyplot as plt

x,y=np.meshgrid(np.arange(0,10,1),np.arange(0,10,1))

u=np.cos(x)

v=np.sin(y)

plt.figure(figsize=(6,6))

plt.quiver(x,y,u,v,angles='xy',scale_units='xy',scale=2,color='b')

plt.xlim(-1,10)

plt.ylim(-1,10)

plt.title("Arrow pattern plot")

plt.xlabel("X-axis")

plt.ylabel("Y-axis")

plt.grid(True)

plt.show()

#source code --> clcoding.com 

Code Explanation:

Import Necessary Libraries

import numpy as np

import matplotlib.pyplot as plt

numpy is used to generate numerical data efficiently.

matplotlib.pyplot is used for plotting.

Create a Grid of Points

x, y = np.meshgrid(np.arange(0, 10, 1), np.arange(0, 10, 1))

np.meshgrid() generates a grid of (x, y) coordinates in the range 0 to 9.

np.arange(0, 10, 1) creates a sequence from 0 to 9 (step size 1).

This results in a 10×10 grid.

Define Arrow Directions

u = np.cos(x)  

v = np.sin(y)  

u = np.cos(x): The X-component of the arrow is calculated using cos(x), meaning arrow direction in the x-axis varies based on x.

v = np.sin(y): The Y-component of the arrow is calculated using sin(y), meaning arrow direction in the y-axis varies based on y.

Create a Figure & Plot the Arrows

plt.figure(figsize=(6, 6))

plt.quiver(x, y, u, v, angles='xy', scale_units='xy', scale=2, color='b')

plt.figure(figsize=(6,6)): Creates a 6×6-inch figure.

plt.quiver(x, y, u, v, ...):

x, y: Positions of arrows on the grid.

u, v: Arrow directions (vectors).

angles='xy': Ensures arrows follow a Cartesian coordinate system.

scale_units='xy': Ensures correct arrow scaling.

scale=2: Adjusts arrow size.

color='b': Sets the arrow color to blue.

Set Axis Limits & Labels

plt.xlim(-1, 10)

plt.ylim(-1, 10)

Defines the x-axis and y-axis limits from -1 to 10 for better visualization.

plt.title("Arrow Pattern plot")

plt.xlabel("X-axis")

plt.ylabel("Y-axis")

Sets title and axis labels to describe the plot.

plt.grid(True)

Enables grid lines for better readability.

Display the Plot

plt.show()

Displays the generated arrow pattern plot.