What is the numpy.sqrt() function in NumPy?
Overview
The sqrt() function in NumPy computes the non-negative square root of each element of an input array.
Syntax
numpy.sqrt(x, /, out=None, *, where=True)
Syntax for the sqrt() function
Parameter value
The sqrt() function takes the following parameter values:
x: This represents an input array of values. This is a required parameter. out: This represents the location where the result is stored. This is an optional parameter. where: This is the condition over which the input is being broadcast. At a given location where this condition is True, the resulting array will be set to the ufunc result. Otherwise, the resulting array will retain its original value. This is an optional parameter. **kwargs: This represents other keyword arguments. This is an optional parameter. Return value
The sqrt() function returns an array of the same shape as the input array passed to it. This array holds the positive square root of the elements in it.
Example
import numpy as np# creating an input array of complex valuesx = np.array([1, 4, 9, 16, 25, 36])# implementing the sqrt() functionmyarray = np.sqrt(x)print(x)print(myarray)
Explanation
- Line 1: We import the
numpymodule. - Line 4: We create an array,
x, with complex values using thearray()function. - Line 7: We implement the
sqrt()function on the input array and assign the result to a variable,myarray. - Line 9: We print the variable
x. - Line 10: We print
myarray.
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