Contents
Numpy sqrt()
To find the square root of a list of numbers, you can use numpy.sqrt() function.
sqrt() functions accepts a numpy array (or list), computes the square root of items in the list and returns a numpy array with the result.
Syntax
The syntax of sqrt() function is:
output = numpy.sqrt(array_like)
Provide an array like argument to sqrt() and it returns an ndarray.
Examples
1. Find square root of numbers in a list
In this example, we shall initialize a list of numbers and find the square root of these numbers.
Python Program
import numpy as np
# Initialize a list
listA = [4, 16, 9, 1, 25, 49]
# Find square root of items in the list
output = np.sqrt(listA)
print(output)
Run Code CopyOutput
[2. 4. 3. 1. 5. 7.]
We have provided perfect squares in the list, hence we got their square roots without any decimal value.
2. Square root of non-perfect square numbers
In this program, we shall provide numbers that are not perfect squares and find their square root.
Python Program
import numpy as np
# Initialize a list
listA = [2, 3, 5]
# Find square root of items in the list
output = np.sqrt(listA)
print(output)
Run Code CopyOutput
[1.41421356 1.73205081 2.23606798]
3. Square root of complex numbers
You can also provide complex numbers as elements of list to compute their square roots.
Python Program
import numpy as np
# Initialize a list
listA = [4+1j, 9+16j]
# Find square root of items in the list
output = np.sqrt(listA)
print(output)
Run Code CopyOutput
[2.01532946+0.24809839j 3.69848346+2.16304875j]
4. Square root of negative numbers
In this example, we shall provide some negative numbers. sqrt() throws a RuntimeWarning. Just a warning. And returns nan (not a number) for the negative element in the list.
Python Program
import numpy as np
# Initialize a list
listA = [-4, 9]
# Find square root of items in the list
output = np.sqrt(listA)
print(output)
Run Code CopyOutput
[nan 3.]
Summary
In this NumPy Tutorial, we learned how to calculate square root of numbers using numpy.sqrt() function, with detailed example programs.