sorted_arr = np.sort(arr)[::-1] 使用numpy.argsort和切片操作: python sorted_indices = np.argsort(arr)[::-1] sorted_arr_by_index = arr[sorted_indices] 打印排序后的数组: 最后,你可以打印排序后的数组来验证结果。 python print("Sorted array in de
A custom key function can be supplied to customize the sort order, and the reverse flag can be set to request the result in descending order. In [2]: help(list.sort) Help on method_descriptor: sort(...) L.sort(key=None, reverse=False) -> None -- stable sort *IN PLACE* # 一维...
使用负索引切片排序 importnumpyasnparr=np.array([5,2,8,3,6,10])# get the indices that would sort the array in ascending orderascending_indices=arr.argsort()# [1 3 0 4 2 5]# reverse the ascending indices to get descending indicesdescending_indices=ascending_indices[::-1]# [5 2 4 0...
#Usingnumpy.argsort()in descending order by multiplying by-1 You can also multiply each element in the array by-1to usenumpy.argsort()in descending order. main.py importnumpyasnp arr=np.array([4,1,5,7])print(arr.argsort())# 👉️ [1 0 2 3]print((-1*arr).argsort())# 👉...
descending_arr = np.sort(arr)[::-1] print("Array in Descending Order:", descending_arr) Output: Array in Descending Order: [8 6 4 3 1] Here, we used a slicing technique[::-1]to reverse the sorted array. This returns the array in descending order. ...
# Here in [:,n], ':' specifies all the rows and n specifies we need to sort by nth column # [::-1] slices the result in reverse order(descending order) print (inputArray [inputArray [ : ,n ] .argsort ( ) [ : : - 1
argsort(a,axis=-1,kind='quicksort',order=None) Returnstheindicesthatwouldsortanarray. Performanindirectsortalongthegivenaxisusingthealgorithmspecified bythe`kind`keyword.Itreturnsanarrayofindicesofthesameshapeas `a`thatindexdataalongthegivenaxisinsortedorder. ...
Ordered sequence is any sequence that has an order corresponding to elements, like numeric or alphabetical, ascending or descending.The NumPy ndarray object has a function called sort(), that will sort a specified array.ExampleGet your own Python Server Sort the array: import numpy as np arr ...
tf.sort(my_tensor)返回tensor排序副本。可选参数有: axis:{int,optional}待排序轴。默认值为-1,对最后一个轴进行排序。 direction:{ascending or descending}—数值排序的方向。 name:{str,optional}—操作的名称。 tf.sort在幕后使用top_k()方法。top_k使用CUB库的CUDA GPU促使并行性更容易实现。正如文档所...
For sorted arrays, you can combine sorting with slicing to reverse the order: import numpy as np # Create a sorted array arr = np.array([1, 2, 3, 4, 5]) # Sort in descending order reversed_arr = np.sort(arr)[::-1] print(reversed_arr) # Output: [5 4 3 2 1] ...