本文介绍了savetxt在python,numpy中有两列的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一些数据作为numpy 2D数组列表-
I have some data as numpy 2D array list-
array([[ 0.62367947],
[ 0.95427859],
[ 0.97984112],
[ 0.7025228 ],
[ 0.86436385],
[ 0.71010739],
[ 0.98748138],
[ 0.75198057]])
array([[-1., 1., -1.],
[-1., 1., 1.],
[ 1., 1., 1.],
[ 1., -1., 1.],
[-1., -1., -1.],
[ 1., 1., -1.],
[ 1., -1., -1.],
[-1., -1., 1.]])
我想将它们保存在txt文件中,以使它们看起来像
And I want to save them in a txt file so that they look like
0.62367947 -1 1 -1
0.95427859 -1 1 1
0.97984112 1 1 1
有人可以帮助我如何使用numpy savetxt吗
Can someone help me how I can do it using numpy savetxt
推荐答案
import numpy as np
R = np.array([[0.62367947],
[0.95427859],
[0.97984112],
[0.7025228],
[0.86436385],
[0.71010739],
[0.98748138],
[0.75198057]])
phase = np.array([[-1., 1., -1.],
[-1., 1., 1.],
[1., 1., 1.],
[1., -1., 1.],
[-1., -1., -1.],
[1., 1., -1.],
[1., -1., -1.],
[-1., -1., 1.]])
np.savetxt('R2.txt', np.hstack([R, phase]), fmt=['%0.8f','%g','%g','%g'])
收益
0.62367947 -1 1 -1
0.95427859 -1 1 1
0.97984112 1 1 1
0.70252280 1 -1 1
0.86436385 -1 -1 -1
0.71010739 1 1 -1
0.98748138 1 -1 -1
0.75198057 -1 -1 1
np.hstack 水平堆叠数组.由于R
和phase
都是二维的,所以np.hstack([R, phase])
会产生
np.hstack stacks arrays horizontally. Since R
and phase
are both 2-dimensional, np.hstack([R, phase])
yields
In [137]: np.hstack([R,phase])
Out[137]:
array([[ 0.62367947, -1. , 1. , -1. ],
[ 0.95427859, -1. , 1. , 1. ],
[ 0.97984112, 1. , 1. , 1. ],
[ 0.7025228 , 1. , -1. , 1. ],
[ 0.86436385, -1. , -1. , -1. ],
[ 0.71010739, 1. , 1. , -1. ],
[ 0.98748138, 1. , -1. , -1. ],
[ 0.75198057, -1. , -1. , 1. ]])
将此2D数组传递给np.savetxt
会给您所需的结果.
Passing this 2D array to np.savetxt
gives you the desired result.
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