Python | sympy.compare() method

Python | sympy.count() method

Last Updated : 01 Feb, 2023

Using the count() method in the sympy module, we can count the number of variables used in the mathematical function. count() method returns the number of variables used in the mathematical function.

Syntax : sympy.count(x)

Return : the count of variables.

Code #1: With the help of the below examples, we can clearly understand that using sympy.count() method we can count the number of variables in a given expression.

Python3

# importing sympy library
from sympy import *
 
# taking symbols
x, y, z = symbols('x y z')
 
# calling count() method on expression
geek = sqrt((x + 1)**2 + x).count(x)
print(geek)

Output:

Code #2:

Python3

# importing sympy library
from sympy import *
 
# taking symbols
a, b = symbols('a b')
 
# calling count() method on expression
geek = (log(a) + log(b) + log(a)*log(1 / b)).count(log)
print(geek)

Output:

Code #3:

Python3

# importing sympy library
from sympy import *
 
# taking symbols
a, b = symbols('a b')
 
# calling count() method on expression
geek = (log(a * b**(1 - log(a)))).count(b)
print(geek)

Output:

Python | sympy.compare() method

S

Shivam_k

Improve

Article Tags :

Python
SymPy

Practice Tags :

python

Similar Reads

Python | sympy.count_ops() method

Using the count_ops() method in simpy module, we can count the number of operations used in the mathematical function. count_ops() method returns the number of operations used in the mathematical function. Syntax : sympy.count_ops() Return : the count of operations. Code #1: With the help of below e

Python | sympy.divisor_count() method

With the help of sympy.divisor_count() method, we can count the number of divisors of the given integer. Syntax: divisor_count(n, modulus=1) Parameter: n - It denotes an integer. modulus - It is set to 1 by default. If modulus is not 1 then only those that are divisible by modulus are counted. Retur

Python | sympy.find() method

Using the find() method in sympy module, we can find the mathematical function's subexpression (if it exists). find() method returns the subexpression in the mathematical function. Syntax : sympy.find(x) Return : returns subexpression Code #1: With the help of the below examples, we can clearly unde

Python | sympy.udivisor_count() method

With the help of sympy.udivisor_count() method, we can count the number of unitary divisors of the given integer. Syntax: udivisor_count(n, modulus=1) Parameter: n - It denotes an integer. Returns: Returns the count of unitary divisors of the given integer. Example #1: # import divisor_count() metho

Python | sympy.compare() method

With the help of sympy.compare() method, we can compare the variables and it will return 3 values i.e -1 for smaller, 0 for equal and 1 for greater by using sympy.compare() method. Syntax : sympy.compare() Return : Return the value of comparison i.e -1, 0, 1. Example #1 : In this example we can see

Python | sympy.euler() method

With the help of sympy.euler() method, we can find the Euler number and Euler polynomial in SymPy. euler(n) - Syntax: euler(n) Parameter: n - It denotes the nth Euler number. Returns: Returns the nth Euler number. Example #1: # import sympy from sympy import * n = 4 print("Value of n = {}"

Python | sympy.fromiter() method

With the help of sympy.fromiter() method, we can iterate over the loop and can add elements in tuples and list by using sympy.fromiter() method. Syntax : sympy.fromiter() Return : Return the elements from iteration. Example #1 : In this example we can see that by using sympy.fromiter() method, we ar

Python | sympy.Add() method

With the help of sympy.Add() method, we can add the two variables and can form a mathematical expression by using sympy.Add() method. Syntax : sympy.Add() Return : Return the addition of two variables. Example #1 : In this example we can see that by using sympy.Add() method, we are able to add the n

Python | sympy.S() method

With the help of sympy.S() method, we can make a single instance of an object by using sympy.S() method, where S denotes to singleton class. Syntax : sympy.S() Return : Return the single instance of an object. Example #1 : In this example we can see that by using sympy.S() method, we are able to cre

Python | sympy.has() method

With the help of sympy.has() method, we can check if variable is used in that mathematical expression or not and this will return a boolean values by using sympy.has() method. Syntax : sympy.has(variable) Return : Return boolean value i.e True or False. Example #1 : In this example we can see that b