numpy的基本用法(五)——numpy array分割

#!/usr/bin/env python
# _*_ coding: utf-8 _*_

import numpy as np

# Test 1
A = np.arange(12).reshape(3, 4)
print A

# 纵向分割, 分成两部分, 按列分割
print np.split(A, 2, axis = 1)
# 横向分割, 分成三部分, 按行分割
print np.split(A, 3, axis = 0)

# Test 1 result
[[ 0  1  2  3]
[ 4  5  6  7]
[ 8  9 10 11]]
[array([[0, 1],
[4, 5],
[8, 9]]), array([[ 2,  3],
[ 6,  7],
[10, 11]])]
[array([[0, 1, 2, 3]]), array([[4, 5, 6, 7]]), array([[ 8,  9, 10, 11]])]

# Test 2
# 不均等分割
print np.array_split(A, 3, axis = 1)

# Test 2 result
[array([[0, 1],
[4, 5],
[8, 9]]), array([[ 2],
[ 6],
[10]]), array([[ 3],
[ 7],
[11]])]
In [5]:

# Test 3
# 垂直方向分割
print np.vsplit(A, 3)
# 水平方向分割
print np.hsplit(A, 2)

# Test 3 result
[array([[0, 1, 2, 3]]), array([[4, 5, 6, 7]]), array([[ 8,  9, 10, 11]])]
[array([[0, 1],
[4, 5],
[8, 9]]), array([[ 2,  3],
[ 6,  7],
[10, 11]])]

参考资料