GeeksforGeeks
geeksforgeeks.org › python › numpy-sqrt-in-python
numpy.sqrt() in Python - GeeksforGeeks
July 12, 2025 - numpy.sqrt() in Python is a function from the NumPy library used to compute the square root of each element in an array or a single number. It returns a new array of the same shape with the square roots of the input values.
NumPy
numpy.org › devdocs › reference › generated › numpy.sqrt.html
numpy.sqrt — NumPy v2.5.dev0 Manual
An array of the same shape as x, containing the positive square-root of each element in x. If any element in x is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements in x are real, so is y, with negative elements returning nan.
Videos
How to Find Square Root of a Number in Python
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Vultr Docs
docs.vultr.com › python › third-party › numpy › sqrt
Python Numpy sqrt() - Compute Square Root | Vultr Docs
January 1, 2025 - Apply numpy.sqrt() to the array. ... complex_array = np.array([1+1j, -1-1j, 4+4j]) sqrt_complex = np.sqrt(complex_array) print(sqrt_complex) Explain Code · The computation handles complex numbers smoothly, returning square roots in complex form.
Codecademy
codecademy.com › docs › python:numpy › math methods › .sqrt()
Python:NumPy | Math Methods | .sqrt() | Codecademy
April 9, 2025 - The function returns an array of the same shape as x, containing the positive square root of each element in the input array. This example demonstrates how to use NumPy’s .sqrt() function to calculate the square root of each element in a 1D array:
NumPy
numpy.org › doc › 2.2 › reference › generated › numpy.sqrt.html
numpy.sqrt — NumPy v2.2 Manual
An array of the same shape as x, containing the positive square-root of each element in x. If any element in x is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements in x are real, so is y, with negative elements returning nan.
NumPy
numpy.org › doc › stable › reference › generated › numpy.sqrt.html
numpy.sqrt — NumPy v2.4 Manual
An array of the same shape as x, containing the positive square-root of each element in x. If any element in x is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements in x are real, so is y, with negative elements returning nan.
Spark By {Examples}
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Python NumPy Square Root - Spark By {Examples}
March 27, 2024 - You can use NumPy to calculate the square root of elements in an array using the numpy.sqrt() function. This function is used to return the non-negative square root of an array element-wise (for each element of the array).
NumPy
numpy.org › doc › 2.1 › reference › generated › numpy.sqrt.html
numpy.sqrt — NumPy v2.1 Manual
An array of the same shape as x, containing the positive square-root of each element in x. If any element in x is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements in x are real, so is y, with negative elements returning nan.
Medium
medium.com › @heyamit10 › numpy-sqrt-in-python-5378462d7ee5
numpy.sqrt() in Python. If you think you need to spend $2,000… | by Hey Amit | Medium
February 8, 2025 - It helps you calculate the square root of every element in a NumPy array or even a single number.
Programiz
programiz.com › python-programming › numpy › methods › sqrt
NumPy sqrt() (With Examples)
The sqrt() function returns an array that contains the square root of each element in the input array. import numpy as np array1 = np.array([36, 49, 100, 256])
DigitalOcean
digitalocean.com › community › tutorials › numpy-sqrt-square-root-of-matrix-elements
NumPy sqrt() - Square Root of Matrix Elements | DigitalOcean
August 4, 2022 - Python NumPy module is used to work with multidimensional arrays and matrix manipulations. We can use NumPy sqrt() function to get the square root of the matrix elements.
Top answer 1 of 7
37
To avoid the invalid value warning/error, the argument to numpy's sqrt function must be complex:
CopyIn [8]: import numpy as np
In [9]: np.sqrt(-1+0j)
Out[9]: 1j
As @AshwiniChaudhary pointed out in a comment, you could also use the cmath standard library:
CopyIn [10]: cmath.sqrt(-1)
Out[10]: 1j
2 of 7
21
I just discovered the convenience function numpy.emath.sqrt explained in the sqrt documentation. I use it as follows:
Copy>>> from numpy.emath import sqrt as csqrt
>>> csqrt(-1)
1j
w3resource
w3resource.com › python-exercises › numpy › compute-square-root-of-each-element-using-np-dot-sqrt-in-numpy.php
Compute Square Root of each element using np.sqrt in NumPy
Write a NumPy program that uses the np.sqrt ufunc to compute the square root of each element in a 2D NumPy array. Sample Solution: Python Code: import numpy as np # Create a 2D NumPy array of shape (3, 3) with random integers array_2d = ...
TutorialsPoint
tutorialspoint.com › home › numpy › numpy sqrt function
NumPy sqrt Function
March 5, 2015 - The NumPy sqrt() function is used to compute the square root of all elements in an input array.
Centron
centron.de › startseite › numpy sqrt() in python – tutorial
NumPy sqrt() in Python - Tutorial
February 7, 2025 - Python NumPy module is used to work with multidimensional arrays and matrix manipulations. We can use NumPy sqrt() function to get the square root of the matrix elements.
Top answer 1 of 2
11
Well, you can do it using scipy.
If you want to do it with numpy however, then I think that your best guess is to diagonalize your matrix and then to compute the square root of the inner diagonal matrix.
# Computing diagonalization
evalues, evectors = np.linalg.eig(a)
# Ensuring square root matrix exists
assert (evalues >= 0).all()
sqrt_matrix = evectors * np.sqrt(evalues) @ np.linalg.inv(evectors)
Note that you can speed up computation if your matrix is symmetric real (use np.eigh and you don't have to compute the inverse since it is the transpose of evectors).
2 of 2
1
You can use https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.sqrtm.html
But note that some square roots are not unique.
Quora
quora.com › How-do-I-square-root-in-Python-NumPy
How to square root in Python NumPy - Quora
Answer (1 of 3): In order to square root in Python NumPy, you can use the sqrt function. This takes two arguments: the number you want to square and the Precision value. The precision parameter specifies how many digits after the decimal point ...
LearnDataSci
learndatasci.com › solutions › python-square-root
Python Square Root: Real and Complex – LearnDataSci
When working with arrays, you also have the option of using the numpy.sqrt() function to calculate the square root of every value.