Use where() method. It returns a numpy array of all the indices of elements found in the original array. Here's the syntax:
    **numpy.where(condition)**
In this context, value must satisfy the **condition**.
Here's an example:

```python
import numpy as np

# Create a numpy array
array = np.array([0, 1, 2, 3, 4])
    
# Get the index of value 3
indices = array.where(array == 3)
print("Value 3 exists at elements: ", indices)
```

This will print the following:
```sh
Value 3 exists at elements: [4]
```
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