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Python | sympy.lambdify() method

Last Updated : 25 Jun, 2019

With the help of sympy.lambdify() method, we can convert a SymPy expression to an expression that can be numerically evaluated. lambdify acts like a lambda function, except it, converts the SymPy names to the names of the given numerical library, usually NumPy or math.

Syntax: lambdify(variable, expression, library) Parameters: variable - It is the variable in the mathematical expression. expression - It is the mathematical expression which is converted into its respective name in the given library. library - It is the Python library to which expression is to be converted into. Returns: Returns a lambda function which can evaluate a mathematical expression.

Example #1: In this example we can see that by using sympy.lambdify() method, we can get a lambda function from a mathematical expression.

Python3 1==

# import sympy
from sympy import * 

x = symbols('x')
expr = sin(x)
   
# Use sympy.lambdify() method
f = lambdify(x, expr, "math") 
  
print("Using lambda function in SymPy to evaluate sin(90) : {}".format(f(90)))

Output:

Using lambda function in SymPy to evaluate sin(90) : 0.893996663601

Example #2: We can pass a dictionary of sympy_name:numerical_function pair to use lambdify with numerical libraries that it does not know about.

Python3 1==

# import sympy
from sympy import * 

def squared(n) : 
    return n**2

x = symbols('x')
expr = x**2
   
# Use sympy.lambdify() method
f = lambdify(x, expr, {"**" : squared}) 
  
print("Using lambda function in SymPy to evaluate squared function : {}".format(f(10)))

Output:

Using lambda function in SymPy to evaluate squared function : 100

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