numpy.subtract() is used when we want to calculate the difference between two arrays. It returns the difference arr1 and arr2 element by element.
Syntax: numpy.subtract (arr1, arr2, /, out = None, *, where = True, casting = ` same_kind `, order =` K `, dtype = None, subok = True [, signature, extobj], ufunc` subtract `)
arr1: [array_like or scalar] 1st Input array.
arr2: [array_like or scalar] 2nd Input array.
dtype: strong > The type of the returned array. By default, the dtype of arr is used.
out: [ndarray, optional] A location into which the result is stored.
- & gt ; If provided, it must have a shape that the inputs broadcast to.
- & gt; If not provided or None, a freshly-allocated array is returned.
where: [array_like, optional] Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
** kwargs: Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function.
Return: [ndarray or scalar] The difference of arr1 and arr2, element-wise. Returns a scalar if both arr1 and arr2 are scalars.
Code # 1:
1st Input number: 4 2nd Input number: 6 Difference of two input number: -2
Code # 2:
1st Input array: [[2 -4 5] [-6 2 0]] 2nd Input array: [[0 -7 5] [5 -2 9 ]] Output array: [[2 3 0] [-11 4 -9]]
We live in an age of so-called Big Data. We hear terms like data scientist, and there is much talk about analytics and the mining of large amounts of corporate data for tidbits of business value. Ther...
Python Workout isn’t designed to teach you Python, although I hope and expect that you’ll learn quite a bit along the way. It is meant to help you improve your understand- ing of Python and how to...
Mastering regular expressions by Jeffrey Friedl, 3rd edition. Regular expressions are an extremely powerful tool for manipulating text and data. They are standard features today in a variety of pop...
If you can program, you are ready to grapple with Bayesian statistics. In this book, you'll learn how to solve statistical problems using Python code instead of math formulas, using discrete probabili...