如何为numpy数组返回以列为主的迭代器? [英] How can I return a column-major iterator for a numpy array?

问题描述

ndarray对象具有flat属性(例如array.flat)，该属性允许一个对象遍历其元素.例如:

ndarray objects in numpy have a flat property (e.g. array.flat) that allows one to iterate through its elements. For example:

>>> x = np.arange(1, 7).reshape(2, 3)
>>> x
array([[1, 2, 3],
       [4, 5, 6]])
>>> x.flat[3]
4

但是如何返回以列为主的1D迭代器，以便上面的示例返回5而不是4?

But how can I return a column-major 1D iterator, so that the example above returns 5 instead of 4?

推荐答案

不确定这是否是最好的方法，但似乎很简单

Not sure if this is the best way, but it seems that simply

array.T.flat

将给出我想要的结果.尽管我希望可以使用order='F'指定一些合适的方法，这样一目了然更容易理解.

will give the result I'm looking for. Although I wish there was some appropriate method that I could specify with order='F', which would be easier to understand at a glance.

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