numpy中的flatten和ravel有什么区别? [英] What is the difference between flatten and ravel in numpy?

问题描述

Numpy v 1.9包含两个看似相同的功能: 扁平化" 和 "ravel"

Numpy v 1.9 contains two seemingly identical functions: 'flatten' and 'ravel'

有什么区别?我什么时候可以选择一个将另一个二维np.array转换为一维的方法呢?

What is the difference? and when might I pick one vs the other for converting a 2-D np.array to 1-D?

推荐答案

啊哈: 主要的功能差异是flatten是ndarray对象的方法，因此只能用于真正的numpy数组.相反，ravel()是库级别的函数，因此可以在可以成功解析的任何对象上调用.例如，ravel()将在ndarray列表上工作，而扁平化(显然)不会.

Aha: The primary functional difference is thatflatten is a method of an ndarray object and hence can only be called for true numpy arrays. In contrast ravel() is a library-level function and hence can be called on any object that can successfully be parsed. For example ravel() will work on a list of ndarrays, while flatten (obviously) won't.

此外，正如@jonrsharpe在其评论中指出的那样，flatten方法始终返回一个副本，而ravel仅在需要时"这样做.仍然不太确定如何确定.

In addition, as @jonrsharpe pointed out in his comment, the flatten method always returns a copy, while ravel only does so "if needed." Still not quite sure how this determination is made.

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