How does Python's Matplotlib.pyplot.quiver exactly work?

MatplotlibPythonData Visualization

To work with quiver, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.

  • 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 and y limit 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()

Output

raja
Published on 04-Jun-2021 06:28:37
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