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numpy.log1p() in Python

Last Updated : 29 Nov, 2018
numpy.log1p(arr, out = None, *, where = True, casting = 'same_kind', order = 'K', dtype = None, ufunc 'log1p') : This mathematical function helps user to calculate natural logarithmic value of x+1 where x belongs to all the input array elements.
  • log1p is reverse of exp(x) - 1.
  •   Parameters :
    array : [array_like]Input array or object.
    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 natural logarithmic value of x + 1; 
    where x belongs to all elements of input array. 
    
      Code 1 : Working Output :
    Input array : [1, 3, 5]
    Output array : [ 0.69314718 1.38629436 1.79175947]
    
      Code 2 : Graphical representation
    Output :
    out_array : [ 0.69314718 0.78845736 0.87546874 0.95551145 1.02961942 1.09861229]
    👁 Image
    References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.exp.html .
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