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.
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.
An array with exponential of all elements of input array.
Code 1 : Working
Input array : [1, 3, 5] Output array : [ 2.71828183 20.08553692 148.4131591 ]
Code 2 : Graphical representation