2.2.2: Slicing NumPy Arrays 切片 NumPy 数组 It’s easy to index and slice NumPy arrays regardless of their dimension,meaning whether they are vectors or matrices. 索引和切片NumPy数组很容易,不管它们的维数如何,也就是说它们是向量还是矩阵。 With one-dimension arrays, we can index a given element...
我在NumPy中工作,了解如何使用this article从3D数组中切片2D数组。 根据我想要切片的轴不同: array = [[[0 1 2] [3 4 5] [6 7 8]] [[9 10 11] [12 13 14] [15 16 17]] [[18 19 20] [21 22 23] [24 25 26]]] 切片会给我: i_slice = array[0] [[0 1 2] [3 4 5] [6 ...
NumPy Advanced Array Operations NumPy - Swapping Axes of Arrays NumPy - Byte Swapping NumPy - Copies & Views NumPy - Element-wise Array Comparisons NumPy - Filtering Arrays NumPy - Joining Arrays NumPy - Sort, Search & Counting Functions
2-D NumPy Array Slicing For slicing 2D arrays we need to write the index of array and then after the ‘,’ we can slice that array. Let’s look at some examples. In this example we are accessing the second array and then slicing it from index 2 to 5 (not included). ...