Halloween Sale: **Flat 70% + Addl. 25% Off + 30 Days Extra Lab** on all Courses | Use Coupon **HS25** in Checkout | Offer Expires In

- Home
- Assessment

**Exponents**

We can find the exponent of each element of a NumPy array in a below-mentioned way. Its applied element-wise.

e.g.

```
import numpy as np
R_exp = np.array( [ 20, 30, 40, 50] )
S_exp = np.arange( 1, 5 )
T_exp = R_exp ** S_exp
print(R_exp)
array([ 20, 30, 40, 50 ])
print(S_exp)
array( [ 1, 2, 3, 4 ] )
print(T_exp)
```

Output will be

```
array([ 20, 900, 64000, 6250000 ] )
```

Please follow the below steps:

(1) Please import the required libraries

```
import numpy as np
```

(2) Please create two NumPy arrays - `R_exp`

and `S_exp`

- as shown below

```
R_exp = np.array([ [ 4, 2], [3, 4 ] ] )
S_exp = np.array( [ [2, 10], [4, 5] ] )
```

(3) Apply the exponent operator `**`

between the above created NumPy arrays `R_exp`

and `S_exp`

and store the result in a variable `T_exp`

```
<<your code comes here>> = R_exp << your code comes here>> S_exp
```

(4) Print the array `T_exp`

to see its values

```
print(<<your code comes here>>)
```

XP

Checking Please wait.

Success

Error

No hints are availble for this assesment

Answer is not availble for this assesment

**Note - **Having trouble with the assessment engine? Follow the steps listed
here

## Loading comments...