我如何反序列化强制转换为字节串的numpy数组? [英] How can I unserialize a numpy array that was cast to a bytestring?

问题描述

我需要将一个numpy数组序列化为某些JSON兼容形式.由于我使用的框架无法让我访问JSON编码器/解码器对象，因此我一直坚持将numpy数组序列化为可以然后编组为JSON的对象.我选择了array.tobytes或array.tostring(两者似乎基本上是相同的).

I need to serialize a numpy array to some JSON-compatible form. Since the framework I'm using doesn't give me access to the JSON encoder/decoder object, I'm stuck serializing a numpy array to something that can then be marshalled into JSON. I've opted for either array.tobytes or array.tostring (both seem to be essentially the same thing).

下面是一个说明我的问题的示例:

Below is an example which illustrates my problem:

import numpy as np

a = np.random.rand(1024, 1024)  # create array of random values
b = array.tobytes()  # serialize array
a2 = np.fromstring(b)

当我检查a2的值时，发现它只包含原始a的第一行.换句话说，是a2 == a[0, :].

When I inspect the value of a2, I find that it only contains the first line of the original a. In other words, a2 == a[0, :].

如何解码整个阵列?

推荐答案

实际上numpy.fromstring()返回2维数组的1024X1024 intead的一维数组，您要做的就是将其重塑为1024X1024，

Actually numpy.fromstring() returns a single dimensional array of 1024X1024 intead of a 2 Dimensional array, All you need to do is reshape into 1024X1024,

尝试一下:-

import numpy as np
a = np.random.rand(1024, 1024)  # create array of random values
b = array.tobytes()
np.fromstring(b).reshape(1024,1024)

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