如何交错numpy.ndarrays? [英] How to interleave numpy.ndarrays?
问题描述
我目前正在寻找一种可以插入2 numpy.ndarray的方法.这样
I am currently looking for method in which i can interleave 2 numpy.ndarray. such that
>>> a = np.random.rand(5,5)
>>> print a
[[ 0.83367208 0.29507876 0.41849799 0.58342521 0.81810562]
[ 0.31363351 0.69468009 0.14960363 0.7685722 0.56240711]
[ 0.49368821 0.46409791 0.09042236 0.68706312 0.98430387]
[ 0.21816242 0.87907115 0.49534121 0.60453302 0.75152033]
[ 0.10510938 0.55387841 0.37992348 0.6754701 0.27095986]]
>>> b = np.random.rand(5,5)
>>> print b
[[ 0.52237011 0.75242666 0.39895415 0.66519185 0.87043142]
[ 0.08624797 0.66193953 0.80640822 0.95403594 0.33977566]
[ 0.13789573 0.84868366 0.09734757 0.06010175 0.48043968]
[ 0.28871551 0.62186888 0.44603741 0.3351644 0.6417847 ]
[ 0.85745394 0.93179792 0.62535765 0.96625077 0.86880908]]
>>>
打印c应该将每一行都插入两个矩阵
print c shoule be interleaving each row both matrices
[ 0.83367208 0.52237011 0.29507876 0.75242666 0.41849799 0.39895415 0.58342521 0.66519185 0.81810562 0.87043142]
我一共要交错三个,但是我想一次做两个就容易了.
I have three in total which should be interleaved, but i guess it would be easier to do it two at a time..
但是我如何轻松地做到这一点呢..我读了一些使用数组的方法,但是我不确定使用ndarrays吗?
but how do i do it easily.. I read some method which used arrays, but i am not sure to do it with ndarrays?
推荐答案
使用使用三个数组或更多数量的数组,只需添加它们即可.因此,对于三个数组,请使用: np.dstack((a,b,c))
并使用第三个数组 c
进行整形.
With three arrays or even more number of arrays, simply add in those. Thus, for three arrays, use : np.dstack((a,b,c))
and reshape with c
being the third array.
样品运行-
In [99]: a
Out[99]:
array([[8, 4, 0, 5, 6],
[0, 2, 3, 0, 6],
[4, 4, 0, 6, 5],
[7, 5, 0, 7, 0],
[6, 7, 4, 7, 2]])
In [100]: b
Out[100]:
array([[3, 5, 8, 6, 5],
[5, 6, 8, 8, 4],
[8, 3, 3, 3, 5],
[2, 1, 1, 1, 3],
[5, 7, 7, 5, 7]])
In [101]: np.dstack((a,b)).reshape(a.shape[0],-1)
Out[101]:
array([[8, 3, 4, 5, 0, 8, 5, 6, 6, 5],
[0, 5, 2, 6, 3, 8, 0, 8, 6, 4],
[4, 8, 4, 3, 0, 3, 6, 3, 5, 5],
[7, 2, 5, 1, 0, 1, 7, 1, 0, 3],
[6, 5, 7, 7, 4, 7, 7, 5, 2, 7]])
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