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
# Python program explaining # log10() function import numpy as np in_array = [1, 3, 5, 10**8] print ("Input array : ", in_array) out_array = np.log10(in_array) print ("Output array : ", out_array) print("\nnp.log10(4**4) : ", np.log10(100**4)) print("np.log10(2**8) : ", np.log10(10**8)) |
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
# Python program showing # Graphical representation of # log10() function import numpy as np import matplotlib.pyplot as plt in_array = [1, 2, 3, 4, 5] out_array = np.log10(in_array) print ("out_array : ", out_array) plt.plot(in_array, in_array, color = 'blue', marker = "*") # red for numpy.log10() plt.plot(out_array, in_array, color = 'red', marker = "o") plt.title("numpy.log10()") plt.xlabel("out_array") plt.ylabel("in_array") plt.show() |
Output :
out_array : [ 0. 0.30103 0.47712125 0.60205999 0.69897 ]
References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.log10.html#numpy.log10
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