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Partial Functions in Python
  • Difficulty Level : Easy
  • Last Updated : 10 Feb, 2020

Partial functions allow us to fix a certain number of arguments of a function and generate a new function.


from functools import partial
# A normal function
def f(a, b, c, x):
    return 1000*a + 100*b + 10*c + x
# A partial function that calls f with
# a as 3, b as 1 and c as 4.
g = partial(f, 3, 1, 4)
# Calling g()



In the example we have pre-filled our function with some constant values of a, b and c. And g() just takes a single argument i.e. the variable x.

Another Example :

from functools import *
# A normal function
def add(a, b, c):
    return 100 * a + 10 * b + c
# A partial function with b = 1 and c = 2
add_part = partial(add, c = 2, b = 1)
# Calling partial function


  • Partial functions can be used to derive specialized functions from general functions and therefore help us to reuse our code.
  • This feature is similar to bind in C++.

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