Return the Element-wise Square of the Array Input in Python

In the following tutorial, we will learn the method of returning element-wise Square of the Array input in the Python programming language.

Returning the Square of the Array Input according to Elements

In Python, the numpy.square() function can be used to return the array's element-wise square. This function raises each element in the array to the power of two and returns a new array with the same shape and all of the array's elements squared.

Use Python's numpy.square() function to get the array input's element-wise square. The element-wise x*x, of the same shape and dtype as x, is returned by the procedure. If x is a scalar, then this also is.

The supplied data is the first parameter, x. The result is stored in the place indicated by the second parameter, out. It has to have a form that the inputs broadcast to if one is given. A newly allocated array is returned if none is given or if it is none. The length of a tuple (which is only permitted as a keyword parameter) ought to match the total number of outputs.

This condition is disseminated across the input in the third parameter. The ufunc result will be placed in the out array at the locations where the condition is True. The out array will keep its initial value in other places. Keep in mind that places inside an uninitialized out array formed by using the default out=None will continue to be uninitialized if the condition is False.

Example:

Output:

 Generated Matrix... [[ 12.5 -20.3 33.8] [-45.7 66.2 55.9]] Dimensions of the Matrix... 2 Data type of the Matrix elements... float64 Absolute Values... [[12.5 20.3 33.8] [45.7 66.2 55.9]] 

Explanation:

This code generates a 2D NumPy array with float elements and shows the dimensions and data type of the matrix. Next, it computes and shows the array's element-wise absolute values using the numpy.abs() method.

Conclusion:

Python's numpy.square() method makes it simple to calculate an array's element-wise square. With the same form and data type, this operation outputs a new array where each element is the square of its corresponding element in the input array.