在 Python 中执行函数链

Question

I am doing data pre-processing using Python and Pandas. For that reason, I wrote several functions for cleaning data, which should be executed one after another in sequence.

I don't want to manually execute all functions every time I open Jupyter. So I am searching for something similar to a trigger, where I will include all function names and by initializing it, all functions will be executed.

One way is to define a Python function which will call other functions inside body; but not sure how efficient is that.

I looked for sklearn.Pipeline() and pandas.pipe() functions, but none of those seemed right tool for me.

Any recommendations?

Answer 1

Write a driver function - lets call it start() and call all your data cleaning functions one after the other in this function.

def start():
    data_cleaning_1()
    data_cleaning_2()
    data_cleaning_3()
    .
    .

Call the start() function.

Answer 2

It can be done by storing the reference to the functions on a list, but create a new function that call all those functions makes more sense.

def fun1():
    print("function 1")
def fun2():
    print("function 2")

functions = [fun1,fun2]

for function in functions:
    function()

or

def fun1():
    print("function 1")
def fun2():
    print("function 2")

def begin():
    func1()
    func2()
    # any other function 

begin()

If you want something more advanced, you could use the design pattern Chain of Responsibility reading material