Matplotlib.axes.Axes.barbs() in Python

Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

The Axes.barbs() function in axes module of matplotlib library is also used to plot a 2D field of barbs.

Syntax: Axes.barbs(self, *args, data=None, **kw) 

Parameters: This method accept the following parameters that are described below:

• X, Y : These parameter are the x and y coordinates of the barb locations.
• U, V: These parameter are the x and y components of the barb shaft.
• C : This parameter contains the numeric data that defines the barb colors by colormapping via norm and cmap.
• length : This parameter is the length of the barb in points.
• pivot : This parameter is the part of the arrow that is anchored to the X, Y grid.
• barbcolor : This parameter is analogous to the edgecolor parameter for polygons, which can be used instead.
• flagcolor : This parameter is analogous to the facecolor parameter for polygons.
• sizes : This parameter is the dictionary of coefficients specifying the ratio of a given feature to the length of the barb.
• fill_empty : This parameter is used to fill the empty barbs with the flag color.
• barb_increments : This parameter is the dictionary of increments specifying values to associate with different parts of the barb.
• flip_barb : This parameter is the single value is applied to all barbs.

Returns: This method returns the following:

• barbs : This return the Barbs.

Note: This function works in Matplotlib version >= 3.1 Below examples illustrate the matplotlib.axes.Axes.barbs() function in matplotlib.axes: Example 1: 

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
    
x = np.linspace(0, 15, 5)

fig1, axs1 = plt.subplots()
axs1.barbs(x**3, x**3, x * 2, x * 2, x * 3,
           fill_empty = True)

axs1.set_title('matplotlib.axes.Axes.barbs()\
 Example', fontsize = 14, fontweight ='bold')
plt.show()

Output:

Example 2: 

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
    
x = np.linspace(0, 15, 5)
X, Y = np.meshgrid(x, x)
U, V = X**2, Y**2

fig1, axs1 = plt.subplots()
axs1.barbs(X, Y, U, V, U * 2, fill_empty = True)

axs1.set_title('matplotlib.axes.Axes.barbs()\
 Example', fontsize = 14, fontweight ='bold')
plt.show()

Output: