I just switched to Python from Matlab, and I want to use lambda function to map function f1(x,y) with multiple arguments to one argument function f2(x) for optimization.
I want that when I map the function f2(x) <- f1(x,y=y1) then y will stay constant no matter what y1 changes, in Matlab this is true by default but if I try in Python, it keeps changing as the following examples
>>> def f1(x,y):
>>> return (x+y)
>>> y1 = 2
>>> f2 = lambda x: f1(x,y1)
>>> f2(1)
3
I expect f2(1) stays 3 even if I change y1, however if I change y1, the whole f1(1) also changes as follows
>>> y1 = 5
>>> f2(1)
6
I wonder is there a way that when I declare f2 = lambda x: f1(x,y1) then f1 will take the value of y1 at that time and fix it to f2. The reason for this because I want to dynamically create different functions for different scenarios then sum them all.
I'm still new to Python, please help, much appreciate.
Try:
f2 = lambda x, y=y1: f1(x,y)
Your issue has to do with how closures work in Python
Your version of the lambda function will use the current version of y1. You need to capture the value of y1 on the line where you've defined the lambda function. To do that, you can define it as the default value of a parameter (the y=y1 part).