numpy.expm1() in Python Last Updated : 29 Nov, 2018 Comments Improve Suggest changes Like Article Like Report numpy.expm1(array, out = None, where = True, casting = 'same_kind', order = 'K', dtype = None) : This mathematical function helps user to calculate exponential of all the elements subtracting 1 from all the input array elements. Parameters : array : [array_like]Input array or object whose elements, we need to test. out : [ndarray, optional]Output array with same dimensions as Input array, placed with result. **kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function. where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone. Return : An array with exponential(all elements of input array) - 1. Code 1 : Working Python # Python program explaining # expm1() function import numpy as np in_array = [1, 3, 5] print ("Input array : \n", in_array) exp_values = np.exp(in_array) print ("\nExponential value of array element : " "\n", exp_values) expm1_values = np.expm1(in_array) print ("\n(Exponential value of array element) - (1) " ": \n", expm1_values) Output : Input array : [1, 3, 5] Exponential value of array element : [ 2.71828183 20.08553692 148.4131591 ] (Exponential value of array element) - (1) : [ 1.71828183 19.08553692 147.4131591 ] Code 2 : Graphical representation Python # Python program showing # Graphical representation of # expm1() function import numpy as np import matplotlib.pyplot as plt in_array = [1, 1.2, 1.4, 1.6, 1.8, 2] out_array = np.expm1(in_array) print("out_array : ", out_array) y = [1, 1.2, 1.4, 1.6, 1.8, 2] plt.plot(in_array, y, color = 'blue', marker = "*") # red for numpy.expm1() plt.plot(out_array, y, color = 'red', marker = "o") plt.title("numpy.expm1()") plt.xlabel("X") plt.ylabel("Y") plt.show() Output : out_array : [ 1.71828183 2.32011692 3.05519997 3.95303242 5.04964746 6.3890561 ] References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.expm1.html#numpy.expm1 . Comment More infoAdvertise with us Next Article numpy.multiply() in Python M mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads numpy.exp() in Python numpy.exp(array, out = None, where = True, casting = 'same_kind', order = 'K', dtype = None) : This mathematical function helps user to calculate exponential of all the elements in the input array. Parameters : array : [array_like]Input array or object whose elements, we need to test. out : [ndarray 4 min read numpy.exp2() in Python numpy.exp2(array, out = None, where = True, casting = 'same_kind', order = 'K', dtype = None) : This mathematical function helps user to calculate 2**x for all x being the array elements. Parameters : array : [array_like]Input array or object whose elements, we need to test. out : [ndarray, optional 2 min read numpy.ldexp() in Python In Python, numpy.ldexp(arr1, arr2[, out]) function returns arr1 * (2**arr2), element-wise. This is also called as inverse of numpy.frexp() function. Syntax: numpy.ldexp()Parameters: arr1: [array_like] Array of multipliers. arr2: [array_like, int] Array of twos exponents. out: [ndarray, optional] Out 1 min read exec() in Python exec() function is used for the dynamic execution of Python programs which can either be a string or object code. If it is a string, the string is parsed as a suite of Python statements which is then executed unless a syntax error occurs and if it is an object code, it is simply executed. We must be 4 min read numpy.multiply() in Python The numpy.multiply() is a numpy function in Python which is used to find element-wise multiplication of two arrays or scalar (single value). It returns the product of two input array element by element.Syntax:numpy.multiply(arr1, arr2, out=None, where=True, casting='same_kind', order='K', dtype=None 3 min read numpy.multiply() in Python The numpy.multiply() is a numpy function in Python which is used to find element-wise multiplication of two arrays or scalar (single value). It returns the product of two input array element by element.Syntax:numpy.multiply(arr1, arr2, out=None, where=True, casting='same_kind', order='K', dtype=None 3 min read Like