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_transformed_clip_path_and_affine() Function
The Axes.get_transformed_clip_path_and_affine() function in axes module of matplotlib library is used to get the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation.
Syntax: Axes.get_transformed_clip_path_and_affine(self)
Parameters: This method does not accepts any parameter.
Returns: This method return the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation.
Below examples illustrate the matplotlib.axes.Axes.get_transformed_clip_path_and_affine() function in matplotlib.axes:
Example 1:
Image used:
# Implementation of matplotlib function import matplotlib.pyplot as plt import matplotlib.patches as patches import matplotlib.cbook as cbook with cbook.get_sample_data('loggf.PNG') 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) ax.set_title("Value Return by get_transformed_clip_path_and_affine(): " +str(im.get_transformed_clip_path_and_affine())) fig.suptitle('matplotlib.axes.Axes.get_transformed_clip_path_and_affine()\ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.cm as cm import matplotlib.pyplot as plt from matplotlib.path import Path from matplotlib.patches import PathPatch delta = 0.025 x = y = np.arange(-3.0, 3.0, delta) X, Y = np.meshgrid(x, y) Z1 = np.exp(-X**2 - Y**2) Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2) Z = (Z1 - Z2) * 2 path = Path([[0, 1], [1, 0], [0, -1], [-1, 0], [0, 1]]) patch = PathPatch(path, facecolor ='none') fig, ax = plt.subplots() ax.add_patch(patch) im = ax.imshow(Z, interpolation ='bilinear', cmap = cm.gray, origin ='lower', extent =[-3, 3, -3, 3], clip_path = patch, clip_on = True) print("Value Return by get_transformed_clip_path_and_affine(): ") for i in im.get_transformed_clip_path_and_affine(): print(i) fig.suptitle('matplotlib.axes.Axes.get_transformed_clip_path_and_affine()\ function Example\n\n', fontweight ="bold") plt.show() |
Output:
Value Return by get_transformed_clip_path_and_affine():
Path(array([[ 0., 1.],
[ 1., 0.],
[ 0., -1.],
[-1., 0.],
[ 0., 1.]]), None)
Affine2D(
[[ 82.66666667 0. 328. ]
[ 0. 61.6 237.6 ]
[ 0. 0. 1. ]])
