#-*- coding:utf-8 -*-
#stacking.py
import numpy as np
#创建数组
a = np.arange(9).reshape(3,3)
print(a)
#Out:
#array([[0, 1, 2],
# [3, 4, 5],
# [6, 7, 8]])
b = 2 * a
print (b）
#Out:
#array([[ 0, 2, 4],
# [ 6, 8, 10],
# [12, 14, 16]])
#水平叠加
print (np.hstack((a, b)))
#Out:
#array([[ 0, 1, 2, 0, 2, 4],
# [ 3, 4, 5, 6, 8, 10],
# [ 6, 7, 8, 12, 14, 16]])
print (np.concatenate((a, b), axis=1)）
#Out:
#array([[ 0, 1, 2, 0, 2, 4],
# [ 3, 4, 5, 6, 8, 10],
# [ 6, 7, 8, 12, 14, 16]])
#垂直叠加
print (np.vstack((a, b)))
#Out:
#array([[ 0, 1, 2],
# [ 3, 4, 5],
# [ 6, 7, 8],
# [ 0, 2, 4],
# [ 6, 8, 10],
# [12, 14, 16]])
print (np.concatenate((a, b), axis=0))
#Out:
#array([[ 0, 1, 2],
# [ 3, 4, 5],
# [ 6, 7, 8],
# [ 0, 2, 4],
# [ 6, 8, 10],
# [12, 14, 16]])
#深度叠加
print (np.dstack((a, b)))
#Out:
#array([[[ 0, 0],
# [ 1, 2],
# [ 2, 4]],
#
# [[ 3, 6],
# [ 4, 8],
# [ 5, 10]],
#
# [[ 6, 12],
# [ 7, 14],
# [ 8, 16]]])
oned = np.arange(2)
print (oned)
#Out: array([0, 1])
twice_oned = 2 * oned
print (twice_oned)
#Out: array([0, 2])
print (np.column_stack((oned, twice_oned)))
#Out:
#array([[0, 0],
# [1, 2]])
print (np.column_stack((a, b)))
#Out:
#array([[ 0, 1, 2, 0, 2, 4],
# [ 3, 4, 5, 6, 8, 10],
# [ 6, 7, 8, 12, 14, 16]])
#数组对比
print (np.column_stack((a, b)) == np.hstack((a, b)))
#Out:
#array([[ True, True, True, True, True, True],
# [ True, True, True, True, True, True],
# [ True, True, True, True, True, True]], dtype=bool)
#列式堆叠
print (np.row_stack((oned, twice_oned)))
#Out:
#array([[0, 1],
# [0, 2]])
print (np.row_stack((a, b)))
#Out:
#array([[ 0, 1, 2],
# [ 3, 4, 5],
# [ 6, 7, 8],
# [ 0, 2, 4],
# [ 6, 8, 10],
# [12, 14, 16]])
print (np.row_stack((a,b)) == np.vstack((a, b)))
#Out:
#array([[ True, True, True],
# [ True, True, True],
# [ True, True, True],
# [ True, True, True],
# [ True, True, True],
# [ True, True, True]], dtype=bool)
