We are going to use again the Lena photo and apply the `ix_()`

function to shuffle it.

```
import scipy.misc
import matplotlib.pyplot as plt
import numpy as np
face = scipy.misc.face()
xmax = face.shape[0]
ymax = face.shape[1]
def shuffle_indices(size):
arr = np.arange(size)
np.random.shuffle(arr)
return arr
xindices = shuffle_indices(xmax)
np.testing.assert_equal(len(xindices), xmax)
yindices = shuffle_indices(ymax)
np.testing.assert_equal(len(yindices), ymax)
plt.imshow(face[np.ix_(xindices, yindices)])
plt.show()
#out
```

First we declare a function that creates an array. We use the `shuffle()`

function of the `numpy.random`

subpackage to shuffle the array indices.

```
def shuffle_indices(size):
arr = np.arange(size)
np.random.shuffle(arr)
return arr
```

We then plot the shuffled indices:

`plt.imshow(face[np.ix_(xindices, yindices)])`