data=numpy.array([1,2,3,4,5])
datasort=numpy.argsort(data)
datasort
Out[39]: array([0, 1, 2, 3, 4], dtype=int64)
data
Out[40]: array([1, 2, 3, 4, 5])
datasort1=data.argsort()
datasort1
Out[42]: array([0, 1, 2, 3, 4], dtype=int64)

help(numpy.argsort)
Help on function argsort in module numpy.core.fromnumeric:
argsort(a, axis=-1, kind='quicksort', order=None)
  Returns the indices that would sort an array.
  Perform an indirect sort along the given axis using the algorithm specified
  by the `kind` keyword. It returns an array of indices of the same shape as

data1=numpy.array([1,3,4,56,2,0])
datasort=data1[data1.argsort()]
datasort
Out[48]: array([ 0, 1, 2, 3, 4, 56])

#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
inX = np.array([1,2,-1,3,4,7,8])
print inX
print inX.argsort()