Python Math Module

18 Aug, 2021
Sometimes when working with some kind of financial or scientific projects it becomes necessary to implement mathematical calculations in the project. Python provides the math module to deal with such calculations. Math module provides functions to deal with both basic operations such as addition(+), subtraction(-), multiplication(*), division(/) and advance operations like trigonometric, logarithmic, exponential functions.
In this article, we learn about the math module from basics to advance using the help of a huge dataset containing functions explained with the help of good examples.
Math module provides various the value of various constants like pi, tau. Having such constants saves the time of writing the value of each constant every time we want to use it and that too with great precision. Constants provided by the math module are – 
Euler’s Number
Pi
Tau
Infinity
Not a Number (NaN)
Let’s see each constant in detail.
The math.e constant returns the Euler’s number: 2.71828182846.
Syntax:
math.e
Example:
Python3
# Import math Libraryimport math # Print the value of Euler eprint (math.e)
Output:
2.718281828459045
You all must be familiar with pi. The pi is depicted as either 22/7 or 3.14. math.pi provides a more precise value for the pi.
Syntax:
math.pi
Example 1:
Python3
# Import math Libraryimport math # Print the value of piprint (math.pi)
Output:
3.141592653589793
Example 2: Let’s find the area of the circle 
Python3
# Import math Libraryimport math # radius of the circler = 4 # value of piepie = math.pi # area of the circleprint(pie * r * r)
Output:
50.26548245743669
Tau is defined as the ratio of the circumference to the radius of a circle. The math.tau constant returns the value tau: 6.283185307179586.
Syntax:
math.tau
Example:
Python3
# Import math Libraryimport math # Print the value of tauprint (math.tau)
Output:
6.283185307179586
Infinity basically means something which is never-ending or boundless from both directions i.e. negative and positive. It cannot be depicted by a number. The math.inf constant returns of positive infinity. For negative infinity, use -math.inf.
Syntax:
math.inf
Example 1:
Python3
# Import math Libraryimport math # Print the positive infinityprint (math.inf) # Print the negative infinityprint (-math.inf)
Output:
inf
-inf
Example 2: Comparing the values of infinity with the maximum floating point value
Python3
# Import math Libraryimport math print (math.inf > 10e108)print (-math.inf < -10e108)
Output:
True
True
The math.nan constant returns a floating-point nan (Not a Number) value. This value is not a legal number. The nan constant is equivalent to float(“nan”).
Example:
Python3
# Import math Libraryimport math # Print the value of nanprint (math.nan)
Output:
nan
In this section, we will deal with the functions that are used with number theory as well as representation theory such as finding the factorial of a number.
Ceil value means the smallest integral value greater than the number and the floor value means the greatest integral value smaller than the number. This can be easily calculated using the ceil() and floor() method respectively.
Example:
Python3
# Python code to demonstrate the working of# ceil() and floor() # importing "math" for mathematical operationsimport math a = 2.3 # returning the ceil of 2.3print ("The ceil of 2.3 is : ", end="")print (math.ceil(a)) # returning the floor of 2.3print ("The floor of 2.3 is : ", end="")print (math.floor(a))
Output:
The ceil of 2.3 is : 3
The floor of 2.3 is : 2
Using the factorial() function we can find the factorial of a number in a single line of the code. An error message is displayed if number is not integral.
Example:
Python3
# Python code to demonstrate the working of# factorial() # importing "math" for mathematical operationsimport math a = 5 # returning the factorial of 5print("The factorial of 5 is : ", end="")print(math.factorial(a))
Output:
The factorial of 5 is : 120
gcd() function is used to find the greatest common divisor of two numbers passed as the arguments. 
Example:
Python3
# Python code to demonstrate the working of# gcd() # importing "math" for mathematical operationsimport math a = 15b = 5 # returning the gcd of 15 and 5print ("The gcd of 5 and 15 is : ", end="")print (math.gcd(b, a))
Output:
The gcd of 5 and 15 is : 5
fabs() function returns the absolute value of the number.
Example:
Python3
# Python code to demonstrate the working of# fabs() # importing "math" for mathematical operationsimport math a = -10 # returning the absolute value.print ("The absolute value of -10 is : ", end="")print (math.fabs(a))
Output:
The absolute value of -10 is : 10.0
Refer to the below article to get detailed information about the numeric functions.
Mathematical Functions in Python | Set 1 (Numeric Functions)
Power functions can be expressed as x^n where n is the power of x whereas logarithmic functions are considered as the inverse of exponential functions.
exp() method is used to calculate the power of e i.e.  or we can say exponential of y.
Example:
Python3
# Python3 code to demonstrate# the working of exp()import math # initializing the valuetest_int = 4test_neg_int = -3test_float = 0.00 # checking exp() values# with different numbersprint (math.exp(test_int))print (math.exp(test_neg_int))print (math.exp(test_float))
Output:
54.598150033144236
0.049787068367863944
1.0
pow() function computes x**y. This function first converts its arguments into float and then computes the power.
Example:
Python3
# Python code to demonstrate pow()# version 1 print ("The value of 3**4 is : ",end="") # Returns 81print (pow(3,4))
Output:
The value of 3**4 is : 81.0
log() function returns the logarithmic value of a with base b. If the base is not mentioned, the computed value is of the natural log.
log2(a) function computes value of log a with base 2. This value is more accurate than the value of the function discussed above.
log10(a) function computes value of log a with base 10. This value is more accurate than the value of the function discussed above.
Python3
# Python code to demonstrate the working of# logarithm # importing "math" for mathematical operationsimport math  # returning the log of 2,3print ("The value of log 2 with base 3 is : ", end="")print (math.log(2,3)) # returning the log2 of 16print ("The value of log2 of 16 is : ", end="")print (math.log2(16))    # returning the log10 of 10000print ("The value of log10 of 10000 is : ", end="")print (math.log10(10000))
Output:
The value of log 2 with base 3 is : 0.6309297535714574
The value of log2 of 16 is : 4.0
The value of log10 of 10000 is : 4.0
sqrt() function returns the square root of the number. 
Example:
Python3
# Python3 program to demonstrate the# sqrt() method # import the math moduleimport math # print the square root of 0print(math.sqrt(0)) # print the square root of 4print(math.sqrt(4)) # print the square root of 3.5print(math.sqrt(3.5))
Output:
0.0
2.0
1.8708286933869707
Refer to the below article to get detailed information about the Logarithmic and Power Functions
Mathematical Functions in Python | Set 2 (Logarithmic and Power Functions)
You all must know about Trigonometric and how it may become difficult to find the values of sine and cosine values of any angle. Math module provides built-in functions to find such values and even to change the values between degrees and radians.
sin(), cos(), and tan() functions returns the sine, cosine, and tangent of value passed as the argument. The value passed in this function should be in radians.
Example:
Python3
# Python code to demonstrate the working of# sin(), cos(), and tan() # importing "math" for mathematical operationsimport math a = math.pi/6 # returning the value of sine of pi/6print ("The value of sine of pi/6 is : ", end="")print (math.sin(a)) # returning the value of cosine of pi/6print ("The value of cosine of pi/6 is : ", end="")print (math.cos(a)) # returning the value of tangent of pi/6print ("The value of tangent of pi/6 is : ", end="")print (math.tan(a))
Output:
The value of sine of pi/6 is : 0.49999999999999994
The value of cosine of pi/6 is : 0.8660254037844387
The value of tangent of pi/6 is : 0.5773502691896257
degrees() function is used to convert argument value from radians to degrees.
radians() function is used to convert argument value from degrees to radians.
Example:
Python3
# Python code to demonstrate the working of# degrees() and radians() # importing "math" for mathematical operationsimport math a = math.pi/6b = 30 # returning the converted value from radians to degreesprint ("The converted value from radians to degrees is : ", end="")print (math.degrees(a)) # returning the converted value from degrees to radiansprint ("The converted value from degrees to radians is : ", end="")print (math.radians(b))
Output:
The converted value from radians to degrees is : 29.999999999999996
The converted value from degrees to radians is : 0.5235987755982988
Refer to the below articles to get detailed information about the trigonometric and angular functions.
Mathematical Functions in Python | Set 3 (Trigonometric and Angular Functions)
Besides all the numeric, logarithmic functions we have discussed yet, the math module provides some more useful functions that does not fall under any category discussed above but may become handy at some point while coding.
The gamma() function is used to return the gamma value of the argument.
Example:
Python3
# Python code to demonstrate# working of gamma()import math # initializing argumentgamma_var = 6 # Printing the gamma value.print ("The gamma value of the given argument is : "                    + str(math.gamma(gamma_var)))
Output:
The gamma value of the given argument is : 120.0
isinf() function is used to check whether the value is infinity or not.
Example:
Python3
# Python3 code to demonstrate# the working of isnan()import math # checking isnan() values# with inbuilt numbersprint (math.isinf(math.pi))print (math.isinf(math.e))  # checking for NaN valueprint (math.isinf(float('inf')))
Output:
False
False
True
isnan() function returns true if the number is “NaN” else returns false.
Example:
Python3
# Python3 code to demonstrate# the working of isnan()import math # checking isnan() values# with inbuilt numbersprint (math.isnan(math.pi))print (math.isnan(math.e))  # checking for NaN valueprint (math.isnan(float('nan')))
Output:
False
False
True
Refer to the below article to get detailed information about the special functions.
Mathematical Functions in Python | Set 4 (Special Functions and Constants)
List of Mathematical function in Python
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