## Question

Asked By – user1276273

Why is numpy giving this result:

```
x = numpy.array([1.48,1.41,0.0,0.1])
print x.argsort()
>[2 3 1 0]
```

when I’d expect it to do this:

[3 2 0 1]

Clearly my understanding of the function is lacking.

**Now we will see solution for issue: Numpy argsort – what is it doing? **

## Answer

According to the documentation

Returns the indices that would sort an array.

`2`

is the index of`0.0`

.`3`

is the index of`0.1`

.`1`

is the index of`1.41`

.`0`

is the index of`1.48`

.

This question is answered By – falsetru

**This answer is collected from stackoverflow and reviewed by FixPython community admins, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 **