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_images() Function
The Axes.get_images() function in axes module of matplotlib library is used to return a list of Axes images contained by the Axes
Syntax: Axes.get_images(self)
Parameters: This method does not accept any parameters.
Returns: This method return a list of Axes images contained by the Axes.
Below examples illustrate the matplotlib.axes.Axes.get_images() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.patches as patches import matplotlib.cbook as cbook # image used is # wp-content/uploads/20200402214740/geek.jpg with cbook.get_sample_data('geek.jpg') as image_file: image = plt.imread(image_file) fig, ax = plt.subplots() im = ax.imshow(image) patch = patches.Rectangle((0, 0), 260, 200, transform = ax.transData) im.set_clip_path(patch) print("List of the child Artists of this Artist \n", *list(ax.get_images()), sep ="\n") fig.suptitle('matplotlib.axes.Axes.get_images() \ function Example', fontweight ="bold") plt.show() |
Output:
List of the Axes images contained by the Axes AxesImage(80, 52.8;496x369.6)
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np from matplotlib.colors import LogNorm dx, dy = 0.015, 0.05x = np.arange(-4.0, 4.0, dx) y = np.arange(-4.0, 4.0, dy) X, Y = np.meshgrid(x, y) extent = np.min(x), np.max(x), np.min(y), np.max(y) fig, ax = plt.subplots() Z1 = np.add.outer(range(8), range(8)) % 2ax.imshow(Z1, cmap ="binary_r", interpolation ='nearest', extent = extent, alpha = 1) def neveropen(x, y): return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2)) Z2 = neveropen(X, Y) ax.imshow(Z2, cmap ="Greens", alpha = 0.7, interpolation ='bilinear', extent = extent) print("List of the Axes images contained by the Axes \n", *list(ax.get_images()), sep ="\n") fig.suptitle('matplotlib.axes.Axes.get_images() function\ Example', fontweight ="bold") plt.show() |
Output:
List of the Axes images contained by the Axes AxesImage(80, 52.8;496x369.6) AxesImage(80, 52.8;496x369.6)
