Matplotlib是Python中的一個庫，它是數字的-NumPy庫的數學擴展。的Artist類包含呈現對象的Abstract基類到一個FigureCanvas中。圖中所有可見元素都是Artist的子類。
Matplotlib.artist.Artist.get_transformed_clip_path_and_affine()方法
matplotlib庫的藝術家模塊中的get_transformed_clip_path_and_affine()方法用於獲取應用了其變換的非仿射部分和其變換的其餘仿射部分的剪輯路徑。
用法：藝術家。get_transformed_clip_path_and_affine(self)
參數：此方法不接受任何參數。
返回值：此方法返回應用了其變換的非仿射部分和其變換的其餘仿射部分的剪輯路徑。
以下示例說明了matplotlib.artist.Artist。get_transformed_clip_path_and_affine()在matplotlib中的函數：
範例1：
使用的圖像：
# 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('image.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)
# use of get_transformed_clip_path_and_affine() method
val = Artist.get_transformed_clip_path_and_affine(im)
ax.set_title("Value Return by get_transformed_clip_path_and_affine():"
+ str(val))
fig.suptitle('matplotlib.artist.Artist.get_transformed_clip_path_and_affine() \
function Example', fontweight="bold")
plt.show()輸出：
範例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)
# use of get_transformed_clip_path_and_affine() method
val = Artist.get_transformed_clip_path_and_affine(im)
print("Value Return by get_transformed_clip_path_and_affine():")
for i in val:
print(i)
fig.suptitle("""matplotlib.artist.Artist.get_transformed_clip_path_and_affine()
function Example""", fontweight="bold")
plt.show()輸出：
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. ]])
相關用法
注：本文由純淨天空篩選整理自shivanisinghss2110大神的英文原創作品 Matplotlib.artist.Artist.get_transformed_clip_path_and_affine() in Python。非經特殊聲明，原始代碼版權歸原作者所有，本譯文未經允許或授權，請勿轉載或複製。