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.get_alpha() Function
The Axes.get_alpha() function in axes module of matplotlib library is used to get the alpha value used for blending.
Syntax: Axes.get_alpha(self)
Parameters: This method does not accepts any parameter.
Returns: This method return the alpha value used for blending.
Below examples illustrate the matplotlib.axes.Axes.get_alpha() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib import numpy as np import matplotlib.pyplot as plt np.random.seed(10**7) mu = 121 sigma = 21x = mu + sigma * np.random.randn(1000) num_bins = 100fig, ax = plt.subplots() n, bins, patches = ax.hist(x, num_bins, density = 1, color ='green', alpha = 0.7) y = ((1 / (np.sqrt(2 * np.pi) * sigma)) * np.exp(-0.5 * (1 / sigma * (bins - mu))**2)) ax.plot(bins, y, '--', color ='black') ax.set_xlabel('X-Axis') ax.set_ylabel('Y-Axis') w = ax.get_alpha() ax.set_title("Alpha Value : "+str(w)) fig.suptitle('matplotlib.axes.Axes.get_alpha() function \ Example', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np rx, ry = 3., 1.value1 = rx * ry * np.pi value2 = np.arange(0, 3 * np.pi + 0.01, 0.2) value3 = np.column_stack([rx / value1 * np.cos(value2), ry / value1 * np.sin(value2)]) x, y, s, c = np.random.rand(4, 99) s *= 10**2. fig, ax = plt.subplots() ax.scatter(x, y, s, c, marker = value3) ax.set_alpha(0.8) w = ax.get_alpha() ax.set_title("Alpha Value : "+str(w)) fig.suptitle('matplotlib.axes.Axes.get_alpha() \ function Example', fontweight ="bold") plt.show() |
Output:
