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numpy.log10() in Python

Last Updated : 29 Nov, 2018
About : numpy.log10(arr, out = None, *, where = True, casting = 'same_kind', order = 'K', dtype = None, ufunc 'log10') : This mathematical function helps user to calculate Base-10 logarithm of x where x belongs to all the input array elements. 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 Base-10 logarithmic value of x; 
where x belongs to all elements of input array. 
Code 1 : Working Output :
Input array : [1, 3, 5, 100000000]
Output array : [ 0. 0.47712125 0.69897 8. ]

np.log10(4**4) : 8.0
np.log10(2**8) : 8.0
Code 2 : Graphical representation
Output :
out_array : [ 0. 0.30103 0.47712125 0.60205999 0.69897 ]
👁 Image
References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.log10.html#numpy.log10 .
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