[英]combining two arrays in numpy,
I use genfromtxt to read in an array from a text file and i need to split this array in half do a calculation on them and recombine them. 我使用genfromtxt从文本文件中读取数组,我需要将此数组拆分成两半,对它们进行计算并重新组合它们。 However i am struggling with recombining the two arrays.
但是我在努力重组两个数组。 here is my code:
这是我的代码:
X2WIN_IMAGE = np.genfromtxt('means.txt').T[1]
X2WINa = X2WIN_IMAGE[0:31]
z = np.mean(X2WINa)
X2WINa = X2WINa-z
X2WINb = X2WIN_IMAGE[31:63]
ww = np.mean(X2WINb)
X2WINb = X2WINb-ww
X2WIN = str(X2WINa)+str(X2WINb)
print X2WIN
How do i go about recombining X2WINa and X2WINb in one array? 如何将X2WINa和X2WINb重组为一个阵列? I just want one array with 62 components
我只想要一个包含62个组件的数组
X2WINc = np.append(X2WINa, X2WINb)
if you want to combine row-wise use np.vstack()
, and if column-wise use np.hstack()
. 如果要组合行方式,请使用
np.vstack()
;如果要组合列方式,请使用np.hstack()
。 Example: 例:
np.hstack( (np.arange(10), np.arange(10)) )
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
np.vstack( (np.arange(10), np.arange(10)) )
array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]])
combined_array = np.concatenate((X2WINa, X2Winb))
And another one using numpy.r_
: 另一个使用
numpy.r_
:
X2WINc = np.r_[X2WINa,X2WINb]
eg: 例如:
>>> import numpy as np
>>> np.r_[np.arange(10),np.arange(10)]
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
There's also np.c_
to column stack: 还有
np.c_
到列堆栈:
>>> np.c_[np.arange(10),np.arange(10)]
array([[0, 0],
[1, 1],
[2, 2],
[3, 3],
[4, 4],
[5, 5],
[6, 6],
[7, 7],
[8, 8],
[9, 9]])
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