# 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))

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

# 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()  

out_array :  [ 0.          0.30103     0.47712125  0.60205999  0.69897   ]