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numpy.expm1() in Python

Last Updated : 29 Nov, 2018
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 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
Output : out_array : [ 1.71828183 2.32011692 3.05519997 3.95303242 5.04964746 6.3890561 ] 👁 Image
References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.expm1.html#numpy.expm1 .
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