• Create vector cordinates using numpy array.
  • Get x, y, u and v data points.
  • Create a new figure or activate an existing figure u">

    How to plot 2D math vectors with Matplotlib?



    To plot 2D math vectors with matplotlib, we can take the following steps−

    • Create vector cordinates using numpy array.
    • Get x, y, u and v data points.
    • Create a new figure or activate an existing figure using figure method.
    • Get the current axis using gca() method.
    • Set x an y limits of the axes.
    • To redraw the current figure, use draw() method.
    • To display the figure, use show() method.

    Example

    import numpy as np
    import matplotlib.pyplot as plt
    plt.rcParams["figure.figsize"] = [7.50, 3.50]
    plt.rcParams["figure.autolayout"] = True
    soa = np.array([[0, 0, 3, 2], [0, 0, 4, 5], [0, 0, 9, 9]])
    X, Y, U, V = zip(*soa)
    plt.figure()
    ax = plt.gca()
    ax.quiver(X, Y, U, V, angles='xy', scale_units='xy', scale=1, color=['red', 'green', 'yellow'])
    ax.set_xlim([-1, 10])
    ax.set_ylim([-1, 10])
    plt.draw()
    plt.show()
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    Output

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