Dipto - 10 months ago 198

Python Question

What is the difference between

`numpy.random.shuffle(x)`

`numpy.random.permutation(x)`

I have read the doc pages but I could not understand if there was any difference between the two when I just want to randomly shuffle the elements of an array.

To be more precise suppose I have an array

`x=[1,4,2,8]`

If I want to generate random permutations of x, then what is the difference between

`shuffle(x)`

`permutation(x)`

Answer

`np.random.permutation`

has two differences from `np.random.shuffle`

:

- if passed an array, it will return a shuffled
*copy*of the array;`np.random.shuffle`

shuffles the array inplace - if passed an integer, it will return a shuffled range i.e.
`np.random.shuffle(np.arange(n))`

If x is an integer, randomly permute np.arange(x). If x is an array, make a copy and shuffle the elements randomly.

The source code might help to understand this:

```
3280 def permutation(self, object x):
...
3307 if isinstance(x, (int, np.integer)):
3308 arr = np.arange(x)
3309 else:
3310 arr = np.array(x)
3311 self.shuffle(arr)
3312 return arr
```

Source (Stackoverflow)