How to calculate the natural logarithm in python ?

Examples of how to calculate the natural logarithm in python

Calculate the natural logarithm with math

natural logarithm can be calculated using the python module called math:

>>> import math
>>> math.e
2.718281828459045

>>> e = math.e
>>> math.log(e)
1.0

Calculate the natural logarithm with numpy

natural logarithm can also be calculated using numpy:

>>> import numpy as np
>>> a = np.array([e,1,10,e**2])
>>> np.log(a)
array([ 1.        ,  0.        ,  2.30258509,  2.        ])

Plot the natural logarithm function using matplotlib

import matplotlib.pyplot as plt
import numpy as np


def function(x):
    return np.log(x)

x = np.arange(0.01,10,0.1)

y = function(x)

plt.plot(x,y)

plt.grid()

plt.xlim(0,10)

plt.title('How to calculate the Natural logarithm in python ?',fontsize=10)

plt.xlabel('x',fontsize=8)
plt.ylabel('log',fontsize=8)

plt.savefig('how_to_caclulate_natural_logarithm_in_python.png', bbox_inches='tight')
#plt.show()
plt.close()

Logarithm in base 10

>>> math.log10(10)
1.0
>>> math.log10(100)
2.0
>>> math.log10(1000)
3.0

Logarithm in base 2

>>> math.log2(2)
1.0
>>> math.log2(4)
2.0
>>> math.log2(8)
3.0

References