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.
matplotlib.axes.Axes.set_alpha() Function
The Axes.set_alpha() function in axes module of matplotlib library is used to set the alpha value used for blending.
Syntax: Axes.set_alpha(self, alpha)
Parameters: This method accepts only one parameters.
- alpha: This parameter is the contains float value or None.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.set_alpha() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np # create test data np.random.seed(10**7) data = [sorted(np.random.normal(0, std, 100)) for std in range(1, 5)] fig, ax1 = plt.subplots() val = ax1.violinplot(data) ax1.set_ylabel('Result') ax1.set_xlabel('Domain Name') for i in val['bodies']: i.set_facecolor('green') i.set_alpha(0.9) fig.suptitle('matplotlib.axes.Axes.set_alpha() \ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.patches import Ellipse NUM = 200 ells = [Ellipse(xy = np.random.rand(2) * 10, width = np.random.rand(), height = np.random.rand(), angle = np.random.rand() * 360) for i in range(NUM)] fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'}) for e in ells: ax.add_artist(e) e.set_clip_box(ax.bbox) e.set_alpha(np.random.rand()) e.set_facecolor(np.random.rand(4)) ax.set_xlim(3, 7) ax.set_ylim(3, 7) fig.suptitle('matplotlib.axes.Axes.set_alpha()\ function Example\n\n', fontweight ="bold") plt.show() |
Output:
