 # Numpy - Mathematical Operations on NumPy Arrays - Conditional Operators

Conditional operators (like <, >, etc.) are also applied element-wise.

e.g.

``````import numpy as np
m = np.array( [ 20, -5, 30, 40] )

m < [15, 16, 35, 36]
``````

Output will be

``````array([ False, True, True, False], dtype=bool)
``````

Now let us check for another condition

``````m< 25
``````

Output will be

``````array( [ True, True, False, False], dtype=bool )
``````

To get the elements below a value of 25, you can use the below syntax

``````m[m<25]
``````

Output will be

`````` array( [20, -5 ] )
``````
INSTRUCTIONS

Please follow the below steps:

(1) Please import the required libraries

``````import numpy as np
``````

(2) Please create a NumPy array called `U`, as shown below

``````U = np.array([ [ 22, 45], [90, 4 ] ] )
``````

(3) Get all the elements of `U` which are less than `45`, and print the result using the `print()` function

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

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