Matplotlib.artist.artist.set_clip_path()
matplotlib库的artist模块中的set_clip_path()方法用于设置艺术家的剪辑路径。
语法:
Artist.set_clip_path(self, path, transform=None)
参数:该方法只接受两个参数。
- path:该参数为剪辑路径。
- transform:在这个参数中,Path使用transform转换为transformmedpath。
Returns:该方法不返回任何值。
下面的例子演示了matplotlib中的matplotlib.artist.artist.set_clip_path()函数:
示例1
输入图像:
# Implementation of matplotlib function
from matplotlib.artist import Artist
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((10, 10),
560,
500,
transform = ax.transData)
Artist.set_clip_path(im, patch)
fig.suptitle('matplotlib.artist.Artist.set_clip_path()\
function Example', fontweight ="bold")
plt.show()
输出:
示例2
# Implementation of matplotlib function
from matplotlib.artist import Artist
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)
Artist.set_clip_path(im, patch)
fig.suptitle('matplotlib.artist.Artist.set_clip_path()\
function Example', fontweight ="bold")
plt.show()
输出: