Python 数组到一维向量

Python array to 1-D Vector

提问by Abhishek Thakur

Is there a pythonic way to convert a structured array to vector?

是否有将结构化数组转换为向量的pythonic方法？

For example:

例如：

I'm trying to convert an array like:

我正在尝试转换一个数组，如：

[(9,), (1,), (1, 12), (9,), (8,)]

to a vector like:

到一个向量，如：

[9,1,1,12,9,8]

采纳答案by unutbu

In [15]: import numpy as np

In [16]: x = np.array([(9,), (1,), (1, 12), (9,), (8,)])

In [17]: np.concatenate(x)
Out[17]: array([ 9,  1,  1, 12,  9,  8])

Another option is np.hstack(x), but for this purpose, np.concatenateis faster:

另一种选择是np.hstack(x)，但为此目的，np.concatenate速度更快：

In [14]: x = [tuple(np.random.randint(10, size=np.random.randint(10))) for i in range(10**4)]

In [15]: %timeit np.hstack(x)
10 loops, best of 3: 40.5 ms per loop

In [16]: %timeit np.concatenate(x)
100 loops, best of 3: 13.6 ms per loop

回答by zs2020

You don't need to use any numpy, you can use sum:

您不需要使用 any numpy，您可以使用sum：

myList = [(9,), (1,), (1, 12), (9,), (8,)]
list(sum(myList, ()))

result:

结果：

[9, 1, 1, 12, 9, 8]

回答by PSN

Use numpy .flatten()method

使用 numpy.flatten()方法

>>> a = np.array([[1,2], [3,4]])
>>> a.flatten()
array([1, 2, 3, 4])
>>> a.flatten('F')
array([1, 3, 2, 4])

Source: Scipy.org

资料来源：Scipy.org