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 descending order using np.sort and slicing...
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...
To use the `numpy.argsort()` method in descending order in Python, negate the array before calling `argsort()`.
# 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
;参数sort_index可选,用来指示排序依据的行或列的数字;参数sort_order可选,指示想要排序顺序的数,1代表升序(默认),-1代表降序;参数by_col可选,指示想要排序方向的逻辑值,FALSE...;参数by_array1必需,要排序的数组或单元格区域;参数sort_order1可选,用于排序的顺序,1代表升序,-1代表降序,默认升序;参数by_arra...
In Python, numpy.sort() function is used to sort the elements of a NumPy array along a specified axis. This function sorts the array in ascending order by default, but can also sort in descending order by modifying the array or using other approaches....
不清楚你想用脚本实现什么,但基本上,如果你.ToString(..)是一个DateTime对象,那么Sort-Object将不知道如何正确排序。以下是如何处理代码: $DCs = (Get-ADDomainController -Filter *).Name$users = @'samaccountname;user1user2'@ | ConvertFrom-Csv -Delimiter ';'& { foreach ($DC in $DCs) { foreach...
但是我在 sort 类型的函数中没有 key 参数ndarray 。就我而言,合并字段不是替代方案。 此外,我没有标头,因此,如果我尝试使用 order 参数进行排序,则会出现错误。 ValueError: Cannot specify order when the array has no fields. 我宁愿就地排序或至少获得相同类型的结果 ndarray 。然后我想把它保存到一个文件...
argsort(a,axis=-1,kind='quicksort',order=None) Returnstheindicesthatwouldsortanarray. Performanindirectsortalongthegivenaxisusingthealgorithmspecified bythe`kind`keyword.Itreturnsanarrayofindicesofthesameshapeas `a`thatindexdataalongthegivenaxisinsortedorder. ...
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...