在一行上打印 `numpy.ndarray`

2022-01-12 00:00:00 python numpy multidimensional-array formatting

问题描述

在使用 scipy/numpy 时，我确实获得了存储在 numpy.ndarray

While using scipy/numpy, I do get information that I store into a numpy.ndarray

>>> a
array([[ 0.15555605,  0.51031528,  0.84580176,  0.06722675],
       [ 0.60556045,  0.62721023, -0.48979983, -0.04152777],
       [-0.78044785,  0.58837543, -0.21146041, -0.13568023],
       [ 0.        ,  0.        ,  0.        ,  1.        ]])
>>> print(a)
[[ 0.15555605  0.51031528  0.84580176  0.06722675]
 [ 0.60556045  0.62721023 -0.48979983 -0.04152777]
 [-0.78044785  0.58837543 -0.21146041 -0.13568023]
 [ 0.          0.          0.          1.        ]]

如何将结果打印在一行上?

How can I print the result on a single line?

我已经检查过了:

>>> numpy.get_printoptions()
{'precision': 8, 'threshold': 1000, 'edgeitems': 3, 'linewidth': 75, 'suppress': False, 'nanstr': 'nan', 'infstr': 'inf', 'formatter': None}

但即使将 linewidth 设置为 1000 也不会改变这一点.有没有办法改变该类型的显示格式?

But even setting linewidth to 1000 does no change this. Is there a way to change the displayed format of that type?

是否也可以在每个数字之间添加逗号(如数组显示但没有周围的 array(...))?

Is it also possible to add comma in between each number (like the array display but without the surrounding array(...))?

解决方案

为了将 numpy.array 打印成单行，您可以使用其内置函数将其转换为列表numpy.tolist()

In order to print a numpy.array into a single line, you can convert it to a list with its built-in function numpy.tolist()

例子:

import numpy as np

arr = np.array(((1, 2, 3), (4, 5, 6), (7, 8, 9)))

数组的简单打印:

print(arr)
[[1, 2, 3]
 [4, 5, 6]
 [7, 8, 9]]

与 numpy.tolist() 相比:

print(array.tolist())
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]

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