numpy.absolute() in Python Last Updated : 29 Nov, 2018 Summarize Comments Improve Suggest changes Share 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 M 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 :Â array :[array_like]Input array or object whose elements, we need to test. axis 3 min read numpy.around() in Python The numpy.around() returns a new array with each element rounded to the given number of decimals. It is similar to numpy.round() function and supports various rounding options including rounding to integers or decimal places or even rounding to tens, hundreds and so forth.Pythonimport numpy as np a 2 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 :Â numpy.any(a, axis = None, out = None, keepdims = class numpy._globals._NoValue at 0x40ba726c) Parameters :Â array :[array_like]Input array or object whose elements, we need to test. axis : 3 min read Like