5, 6, 7, 8, 9])In[12]: x[:5] #first five elementsOut[12]: array([0, 1, 2, 3, 4])In[13]: x[5:] # elements from index 5Out[13]: array([5, 6, 7, 8, 9])In[14]: x[4:7] # subarrayOut[14]: array([4, 5, 6])In[15]: x[::2] # every other elementOut[...
14. 2D Array Slicing with Index Arrays for Subarray Write a NumPy program that creates a 2D NumPy array and uses slicing in combination with index arrays to select a rectangular subarray. Click me to see the sample solution 15. 3D Array & Boolean Indexing for Value Replacement Write a NumPy...
Example 2: Split an Array by Index import numpy as np array1 = np.array( [1, 2, 3, 4, 5, 6] ) # indices at which array is split splitIndices = [2, 5, 8] # split into subarrays splitArrays = np.split(array1, splitIndices) print(splitArrays) Run Code Output [array([1,...
start_vertex : int The index of the path's start vertex in the graph end_vertex : int The index of the path's end vertex in the graph """ # 初始化函数,接受图G、起始顶点start_vertex和结束顶点end_vertex作为参数 self.G = G self.end_vertex = end_vertex self.adj_dict = G.to_adj_...
The axis to operate on. If None,arwill be flattened. If an integer, the subarrays indexed by the given axis will be flattened and treated as the elements of a 1-D array with the dimension of the given axis, see the notes for more details. Object arrays or structured arrays that conta...
import numpy as np # Create the following rank 2 array with shape (3, 4) # [[ 1 2 3 4] # [ 5 6 7 8] # [ 9 10 11 12]] a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) # Use slicing to pull out the subarray consisting of the first 2 rows # and co...
array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) # Use slicing to pull out the subarray consisting of the first 2 rows # and columns 1 and 2; b is the following array of shape (2, 2): # [[2 3] # [6 7]] b = a[:2, 1:3] # A slice of an array is a view ...
The axis to operate on. If None,arwill be flattened. If an integer, the subarrays indexed by the given axis will be flattened and treated as the elements of a 1-D array with the dimension of the given axis, see the notes for more details. Object arrays or structured arrays that conta...
import numpy as np # Create the following rank 2 array with shape (3, 4) # [[ 1 2 3 4] # [ 5 6 7 8] # [ 9 10 11 12]] a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) # Use slicing to pull out the subarray consisting of the first 2 rows # and co...
() function is used to split the array x into multiple subarrays. The split indices are provided as a list [2, 6]. This means that the array x will be split into three subarrays: from the beginning to index 2 (exclusive), from index 2 to index 6 (exclusive), and from index 6 ...