numpy.absolute() in Python Last Updated : 29 Nov, 2018 Comments Improve Suggest changes Like Article Like Report numpy.absolute(arr, out = None, ufunc 'absolute') : This mathematical function helps user to calculate absolute value of each element. For complex input, a + ib, the absolute value is \sqrt { a^2 + b^2 }. Parameters : arr : [array_like] Input array or object whose elements, we need to test. Return : An array with absolute value of each array. Code #1 : Working Python3 # Python program explaining # absolute () function import numpy as np arr1 = [1, -3, 15, -466] print ("Absolute Value of arr1 : \n", np.absolute(arr1)) arr2 = [23 , -56] print ("\nAbsolute Value of arr2 : \n", np.absolute(arr2)) Output : Absolute Value of arr1 : [ 1 3 15 466] Absolute Value of arr2 : [23 56] Code #2 : Working with complex numbers Python3 # Python program explaining # absolute () function import numpy as np a = 4 + 3j print("Absolute(4 + 3j) : ", np.absolute(a)) b = 16 + 13j print("\nAbsolute value(16 + 13j) : ", np.absolute(b)) Output : Absolute(4 + 3j) : 5.0 Absolute value(16 + 13j) : 20.6155281281 Code #3: Graphical Representation of numpy.absolute() Python3 # Python program explaining # absolute () function import numpy as np import matplotlib.pyplot as plt a = np.linspace(start = -5, stop = 5, num = 6, endpoint = True) print("Graphical Representation : \n", np.absolute(a)) plt.title("blue : with absolute\nred : without absolute") plt.plot(a, np.absolute(a)) plt.plot(a, a, color = 'red') plt.show() Output : Graphical Representation : [ 5. 3. 1. 1. 3. 5.] References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.absolute.html . Comment More infoAdvertise with us Next Article numpy.absolute() in Python mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads numpy.fabs() in Python numpy.fabs() function is used to compute the absolute values element-wise. This function returns the absolute values (positive magnitude) of the data in arr. It always return absolute values in floats. Syntax : numpy.fabs(arr, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, u 2 min read numpy.all() in Python The numpy.all() function tests whether all array elements along the mentioned axis evaluate to True. Syntax: numpy.all(array, axis = None, out = None, keepdims = class numpy._globals._NoValue at 0x40ba726c) Parameters : array :[array_like]Input array or object whose elements, we need to test. axis 3 min read numpy.allclose() in Python numpy.allclose() function is used to find if two arrays are element-wise equal within a tolerance. The tolerance values are positive, typically very small numbers. The relative difference (rtol * abs(arr2)) and the absolute difference atol are added together to compare against the absolute differenc 4 min read numpy.any() in Python The numpy.any() function tests whether any array elements along the mentioned axis evaluate to True. Syntax : numpy.any(a, axis = None, out = None, keepdims = class numpy._globals._NoValue at 0x40ba726c) Parameters : array :[array_like]Input array or object whose elements, we need to test. axis : 3 min read numpy.floor() in Python The numpy.floor() function returns the largest integer less than or equal to each element in the input array. It effectively rounds numbers down to the nearest whole number. Let's understand with an example:Pythonimport numpy as np a = [0.5, 1.5, 2.5, 3, 4.5, 10.1] res = np.floor(a) print("Floored:" 1 min read numpy.byte_bounds() function – Python numpy.byte_bounds() function returns pointers to the end-points of an array. Syntax : numpy.byte_bounds(arr) Parameters : arr : [ndarray] Input array. Return : [tuple of 2 integers] The first integer is the first byte of the array, the second integer is just past the last byte of the array. If arr i 1 min read numpy.isneginf() in Python The numpy.isneginf() function tests element-wise whether it is negative infinity or not, and returns the result as a boolean array. Syntax :  numpy.isneginf(array, y = None) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity. y : [array_like]A boole 2 min read numpy.isnan() in Python The numpy.isnan() function tests element-wise whether it is NaN or not and returns the result as a boolean array. Syntax : numpy.isnan(array [, out]) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity out : [ndarray, optional]Output array placed wit 2 min read abs() in Python The Python abs() function return the absolute value. The absolute value of any number is always positive it removes the negative sign of a number in Python. Example:Input: -29Output: 29Python abs() Function SyntaxThe abs() function in Python has the following syntax:Syntax: abs(number)number: Intege 3 min read numpy.sign() in Python numpy.sign(array [, out]) function is used to indicate the sign of a number element-wise. For integer inputs, if array value is greater than 0 it returns 1, if array value is less than 0 it returns -1, and if array value 0 it returns 0. Syntax: numpy.sign() Parameters : array : [array_like] Input va 2 min read Like