Python 打印 numpy 数组的全部内容
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Printing FULL contents of numpy array
提问by user2275931
I am working with image processing in python and I want to output a variable, right now the variable bis a numpy array with shape (200,200). When I do print ball I see is:
我正在使用 python 进行图像处理，我想输出一个变量，现在该变量b是一个形状为 numpy 的数组(200,200)。当我做的时候，print b我看到的是：
array([[ 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.]])
How do I print out the full contents of this array, write it to a file or something simple so I can just look at the contents in full?
我如何打印出这个数组的全部内容，将它写入一个文件或一些简单的东西，以便我可以完整地查看内容？
回答by J0HN
to_print = "\n".join([", ".join(row) for row in b])
print (to_print) #console
f = open("path-to-file", "w")
f.write(to_print) #to file
In case it's numpy array: Print the full numpy array
如果是 numpy 数组：打印完整的 numpy 数组
回答by askewchan
Of course, you can change the print threshold of the array as answered elsewherewith:
np.set_printoptions(threshold=np.nan)
But depending on what you're trying to look at, there's probably a better way to do that. For example, if your array truly is mostly zeros as you've shown, and you want to check whether it has values that are nonzero, you might look at things like:
但是，根据您要查看的内容，可能有更好的方法来做到这一点。例如，如果您的数组确实如您所示大部分为零，并且您想检查它是否具有非零值，您可能会查看以下内容：
import numpy as np
import matplotlib.pyplot as plt
In [1]: a = np.zeros((100,100))
In [2]: a
Out[2]:
array([[ 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.]])
Change some values:
更改一些值：
In [3]: a[4:19,5:20] = 1
And it still looks the same:
它看起来仍然一样：
In [4]: a
Out[4]:
array([[ 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.]])
Check some things that don't require manually looking at all values:
检查一些不需要手动查看所有值的内容：
In [5]: a.sum()
Out[5]: 225.0
In [6]: a.mean()
Out[6]: 0.022499999999999999
Or plot it:
或者绘制它：
In [7]: plt.imshow(a)
Out[7]: <matplotlib.image.AxesImage at 0x1043d4b50>
Or save to a file:
或保存到文件：
In [11]: np.savetxt('file.txt', a)
