本文介绍了如何为numpy数组返回以列为主的迭代器?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
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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