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:
Python3
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport 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:
Python3
# Implementation of matplotlib functionimport matplotlib.pyplot as pltimport numpy as np x = np.linspace(0, 15, 5)X, Y = np.meshgrid(x, x)U, V = X**2, Y**2fig1, 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:
