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.isinf() 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.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.isinf() in Python numpy.isinf() test element-wise whether a value is positive or negative infinity. It returns a Boolean array with True where the input is either +inf or -inf and False otherwise. Example:Pythonimport numpy as np a = np.array([1, np.inf, -np.inf, 0, np.nan]) res = np.isinf(a) print(res)Output[False T 2 min read numpy.isinf() in Python numpy.isinf() test element-wise whether a value is positive or negative infinity. It returns a Boolean array with True where the input is either +inf or -inf and False otherwise. Example:Pythonimport numpy as np a = np.array([1, np.inf, -np.inf, 0, np.nan]) res = np.isinf(a) print(res)Output[False T 2 min read numpy.isinf() in Python numpy.isinf() test element-wise whether a value is positive or negative infinity. It returns a Boolean array with True where the input is either +inf or -inf and False otherwise. Example:Pythonimport numpy as np a = np.array([1, np.inf, -np.inf, 0, np.nan]) res = np.isinf(a) print(res)Output[False T 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 Like