NumPy（七）：拆分【hsplit】【vsplit】

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数组拆分：输出结果为列表，列表中元素为数组

• numpy.hsplit(ary, indices_or_sections)：将数组水平（逐列）拆分为多个子数组 → 按列拆分
• numpy.vsplit(ary, indices_or_sections)：:将数组垂直（行方向）拆分为多个子数组 → 按行拆

import numpy as np# 数组拆分：输出结果为列表，列表中元素为数组ar = np.arange(16).reshape(4, 4)
print('ar = ', ar)
print('-' *100)
# numpy.hsplit(ary, indices_or_sections)：将数组水平（逐列）拆分为多个子数组 → 按列拆分ar1 = np.hsplit(ar, 2)
print('ar1 = {0}, type(ar1) = {1}'.format(ar1, type(ar1)))
print('-' *100)# numpy.vsplit(ary, indices_or_sections)：:将数组垂直（行方向）拆分为多个子数组 → 按行拆
ar2 = np.vsplit(ar, 4)
print('ar2 = {0}, type(ar2) = {1}'.format(ar2, type(ar2)))

打印结果：

ar =  [	[ 0  1  2  3][ 4  5  6  7][ 8  9 10 11][12 13 14 15]]
----------------------------------------------------------------------------------------------------
ar1 = [array([	[ 0,  1],[ 4,  5],[ 8,  9],[12, 13]]), array([	[ 2,  3],[ 6,  7],[10, 11],[14, 15]])], type(ar1) = <class 'list'>
----------------------------------------------------------------------------------------------------
ar2 = [array([[0, 1, 2, 3]]), array([[4, 5, 6, 7]]), array([[ 8,  9, 10, 11]]), array([[12, 13, 14, 15]])], type(ar2) = <class 'list'>Process finished with exit code 0

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