Python 如何生成二维 numpy 数组？
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How to generate 2d numpy array?
提问by Taygrim
I'm trying to generate a 2d numpy array with the help of generators:
我试图在生成器的帮助下生成一个 2d numpy 数组：
x = [[f(a) for a in g(b)] for b in c]
And if I try to do something like this:
如果我尝试做这样的事情：
x = np.array([np.array([f(a) for a in g(b)]) for b in c])
I, as expected, get a np.array of np.array. But I want not this, but ndarray, so I can get, for example, column in a way like this:
正如预期的那样，我得到了一个 np.array 的 np.array。但我想要的不是这个，而是 ndarray，所以我可以像这样获得列：
y = x[:, 1]
So, I'm curious whether there is a way to generate it in such a way.
所以，我很好奇是否有办法以这种方式生成它。
Of course it is possible with creating npdarray of required size and filling it with required values, but I want a way to do so in a line of code.
当然，可以创建所需大小的 npdarray 并用所需的值填充它，但我想要一种在一行代码中这样做的方法。
采纳答案by Marijn van Vliet
This works:
这有效：
a = [[1, 2, 3], [4, 5, 6]]
nd_a = np.array(a)
So this should work too:
所以这也应该有效：
nd_a = np.array([[x for x in y] for y in a])
