age=np.array([15,17,19,20,14,21,16,19,13,20,22,23,21,16,18,19,20,15,17,18])height=np.array([156,144,180,162,152,157,154,155,151,150,158,179,126,182,183,154,159,160,172,149])Given age and height of 20 students in two different numpy arrays with name age and height (in cms). Print the age of those students whose height is above 155 cm.Print the Numpy array.

The language of the text is Python. Here is the solution:

import numpy as np

# given data
age = np.array([15,17,19,20,14,21,16,19,13,20,22,23,21,16,18,19,20,15,17,18])
height = np.array([156,144,180,162,152,157,154,155,151,150,158,179,126,182,183,154,159,160,172,149])

# get the ages of students whose height is above 155 cm
ages_of_students_with_height_above_155cm = age[height > 155]

# print the result
print(ages_of_students_with_height_above_155cm)

This script first imports the numpy module. Then it defines two numpy arrays, age and height, with the given data. The expression height > 155 creates a boolean array of the same shape as height, where each element indicates whether the corresponding student's height is above 155 cm. This boolean array is used to index age, resulting in a new array that contains only the ages of students whose height is above 155 cm. Finally, this array is printed to the console.