python – 像Matlab一样在numpy中打印子数组
发布时间：2020-12-20 13:37:00 所属栏目：Python 来源：网络整理
导读：如何以与Matlab相同的方式打印numpy中的子阵列？我有一个3乘10000的数组,我想查看前20列.在Matlab中你可以写 a=zeros(3,10000);a(:,1:20) Columns 1 through 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
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如何以与Matlab相同的方式打印numpy中的子阵列？我有一个3乘10000的数组,我想查看前20列.在Matlab中你可以写
a=zeros(3,10000); a(:,1:20) Columns 1 through 15 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Columns 16 through 20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 然而在Numpy import numpy as np
set_printoptions(threshold=nan)
a=np.zeros((3,10000))
print a[:,0:20]
[[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0.]
[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
0. 0. 0. 0. 0. 0. 0. 0.]]
如你所见,numpy打印第一行,然后是第二行,然后是第三行.我希望它保持列结构而不是行结构 非常感谢你 PS：例如,一种解决方案就是 print a[:,0:20].T [[ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.]] 但是,屏幕上会消耗比预期更多的空间.如果numpy有这个选项会很棒 解决方法
这会给你想要的吗？
>>> for item in a[:,0:20].T:
print 't'.join(map(str,item.tolist()))
或这个？ >>> for item in a[:,0:20]:
print 't'.join(map(str,item.tolist()))
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