问题描述
如果使用len(np.array([[2,3,1,0], [2,3,1,0], [3,2,1,1]]))，我将返回3.
If I use len(np.array([[2,3,1,0], [2,3,1,0], [3,2,1,1]])), I get back 3.
为什么对于len()没有参数，关于多维数组中我要哪个轴的长度?这真是令人震惊.有其他选择吗?
Why is there no argument for len() about which axis I want the length of in multidimensional arrays? This is alarming. Is there an alternative?
推荐答案
等效嵌套列表的len是什么?
What is the len of the equivalent nested list?
len([[2,3,1,0], [2,3,1,0], [3,2,1,1]])
使用shape的更一般概念，numpy开发人员选择将__len__实现为第一个维度. Python将len(obj)映射到obj.__len__.
With the more general concept of shape, numpy developers choose to implement __len__ as the first dimension. Python maps len(obj) onto obj.__len__.
X.shape返回一个元组，该元组确实具有len-这是维数X.ndim. X.shape[i]选择ith维(元组索引的直接应用).
X.shape returns a tuple, which does have a len - which is the number of dimensions, X.ndim. X.shape[i] selects the ith dimension (a straight forward application of tuple indexing).
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