## Question

Asked By – Bob

I have a numpy array of numbers, for example,

```
a = np.array([1, 3, 5, 6, 9, 10, 14, 15, 56])
```

I would like to find all the indexes of the elements within a specific range. For instance, if the range is (6, 10), the answer should be (3, 4, 5). Is there a built-in function to do this?

**Now we will see solution for issue: Numpy: find index of the elements within range **

## Answer

You can use `np.where`

to get indices and `np.logical_and`

to set two conditions:

```
import numpy as np
a = np.array([1, 3, 5, 6, 9, 10, 14, 15, 56])
np.where(np.logical_and(a>=6, a<=10))
# returns (array([3, 4, 5]),)
```

This question is answered By – deinonychusaur

**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 **