import numpy as np a = np.array([1,2,3,4,5]) # 切片索引 ans1 = a[::-1]print(ans1) #[54321] # numpy.flipud() 函数 ans2 = np.flipud(a)print(ans2) # [54321] # numpy.flip() 函数,可以实现矩阵反转,沿轴的方向反转,一维不需要指定 ans3 = np.flip(a)print(ans3) # [54321...
axis1, axis2)Interchange two axes of an array.ndarray.TSame as self.transpose(), except that self is returned if self.ndim < 2.transpose(a[, axes])Permute the dimensions of an array.
Example 2: Flip a 3-D Array on Multiple Axes importnumpyasnp# create an arrayarray1 = np.array([[[0,1], [2,3]], [[4,5], [6,7]]])# flip the elements of array1 along axis 0array2 = np.flip(array1, axis =0)# flip the elements of array1 along axis 1array3 = np.fli...
flip : Reverse the order elementsin an along thegiven axis. fliplr :Flip an arrayhorizontally flipud : Flip an array vertically. Notes --- rot90(m, k=1 axes=(1,0)) is the reverse of rot90(, k=1, axes=(0,1)) rot90(m, k=1, axes(1,)) is to rot90(m, k=-1...
这是本书代码包中flip_lena.py文件中此秘籍的完整代码: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import scipy.misc import matplotlib.pyplot as plt # Load the Lena array lena = scipy.misc.lena() # Plot the Lena array plt.subplot(221) plt.title('Original') plt.axis('off') plt....
indices : array_like;一个整数数组,其元素是索引到维数组dims的平坦版本中。 dims : tuple of ints;用于分解索引的数组的形状。 order : {‘C’, ‘F’}, optional;决定indices应该按row-major (C-style) or column-major (Fortran-style) 顺序。 >>> np.unravel_index([22, 41, 37], (7,6)) ...
array([ 10, 2, 3, 4, 5, 6 ] 就像列表一样,可以对数组进行切片操作: >>> a[:3] array([10, 2, 3]) 但有很大的一点不同:列表切片生成一个与原来列表无关的新列表副本(copy) , 而数组切片生成的只是原来数组的一个视图(view) , 它还是指向原来的数组 . 原来的数组还是可以通过视图来修改。
The numpy.flipud() function is used to flip a given array in the up/down direction. Flip the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before. The function is particularly useful in image processing tasks where flipping an im...
array([1., 1.]) Or even an empty array! The functionemptycreates an array whose initial content is random and depends on the state of the memory. The reason to useemptyoverzeros(or something similar) is speed - just make sure to fill every element afterwards!
numpy.flip() function The numpy.flip() function is used to reverse the order of elements in an array along the given axis. The shape of the array is preserved, but the elements are reordered. The function reverse the order of elements in an array to help with processing data in reverse...