Python NumPy log10() Function

Numpy log10 – Python NumPy log10() Function

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NumPy log10() Function:

Numpy log10: The base-10 logarithm of all the elements of the given array is calculated using the log10() function of the NumPy module.

Syntax:

numpy.log10(a, out=None)

Parameters

a: This is required. It is the array or an object given as input.

out: This is optional. It is the location where the result will be stored. It must have a shape that the inputs broadcast to if it is provided. If None or not given, a newly allocated array is returned.

Return Value: 

Numpy log10: The base-10 logarithm of each element of a is returned by the log10() function of the NumPy module.

NumPy log10() Function in Python

Example1

Approach:

  • Import numpy module using the import keyword
  • Pass some random list as an argument to the array() function of the numpy module to create an array.
  • Store it in a variable.
  • Print the above-given array.
  • Pass the above-given array as an argument to the log10() function of the numpy module to get the base-10 logarithmic values of each element of the given array.
  • Store it in another variable.
  • Print the base-10 logarithmic values of each element of the given array
  • The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list as an argument to the array() function 
# of the Numpy module to create an array. 
# Store it in a variable.
gvn_arry = np.array([5, 1, 2.4, 10.5, 4])                     
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
print()
# Pass the above given array as an argument to the log10() function of the 
# numpy module to get the base-10 logarithmic values of each element of 
# the given array
# Store it in another variable.
rslt = np.log10(gvn_arry)
# Print the base-10 logarithmic values of each element of the given array 
print("The base-10 logarithmic values of each element of the given array:")
print(rslt)

Output:

The above given array is:
[ 5. 1. 2.4 10.5 4. ]

The base-10 logarithmic values of each element of the given array:
[0.69897 0. 0.38021124 1.0211893 0.60205999]

Example2(Plotting a Graph)

Approach:

  • Import numpy module using the import keyword
  • Import pyplot from the matplotlib module using the import keyword
  • Give some random list as static input and store it in a variable.
  • Pass the above-given array as an argument to the log10() function of the numpy module to get the base-10 logarithmic values of each element of the given array.
  • Store it in another variable.
  • Store the above input array in another variable for plotting the input array vs input array.
  • Plot the input array versus input array with some random color and marker values using the plot() function of the matplotlib module.
  • Plot the output array versus input array with some other random color and marker values using the plot function of the matplotlib module
  • Give the title of the plot using the title() function of the matplotlib module
  • Display the plot using the show() function of the matplotlib module.
  • The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Import pyplot from the matplotlib module using the import keyword
import matplotlib.pyplot as plt
# Give some random list as static input and store it in a variable. 
gvn_arry = [2.1, 1, 2.8, 3.2, 4.3]
# Pass the above given array as an argument to the log10() function of the 
# numpy module to get the base-10 logarithmic values of each element of 
# the given array
# Store it in another variable.
rslt_arry = np.log10(gvn_arry)
# Store the above input array in another variable for plotting the input array vs input array.
temp_inputarry = [2.1, 1, 2.8, 3.2, 4.3]
# Plot the input array versus input array with some random color and marker values using
# the plot() function of the matplotlib module
plt.plot(gvn_arry, temp_inputarry, color = 'green', marker = "*")
# Plot the output array versus input array with some other random color 
# and marker values using the plot function of the matplotlib module
plt.plot(rslt_arry, temp_inputarry, color = 'orange', marker = "o")
# Give the title of the plot using the title() function of the matplotlib module
plt.title("Plotting base-10 logarithmic values:")
plt.xlabel("X")
plt.ylabel("Y")
# Display the plot using the show() function of the matplotlib module.
plt.show()

Output:

Plotting base-10 logarithmic values using log10() function