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import pandas as pd
import random


    

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def func1(h: dict):
    h['foo']=10
    
def func2(h: dict):
    h['bar']=random.randint(10, 100)
    
def func3(h: dict):
    h['baz']=h['foo']+h['bar']


#apply each function to the product of the previous function. 
#Start with the input dictionary
d1 = {'firstElement':'good'}
func1(d1)
func2(d1)
func3(d1)

d1


    

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def recApply(flist, h=None):
    """
    Helper Apply the list of functions iteratively over the dictionary passed
    :obj: function list each will be applied to the dictionary sequentially.
    """
    #if no dictionary passed, then set the dictionary.
    if(h == None):
        h = {}

    #iteratively call functions with dictionary as a passed parameter and returning a derived dictionary
    for f in flist:
        h = f(h)

    return(h)


    

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def recApply(flist, h=None):
    for f in flist:
        f(h) 
    return h


    

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flist = [func1,func2,func3]
result = {'firstElement':'good'}


    

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recApply(flist,result)
result


    

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result=None
recApply(flist,result)
result


    

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result={}
recApply(flist,result)
result


    

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resulta == resultb


    

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resultb


    

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series = range(10)
loop_index = 1
result = pd.DataFrame([recApply(flist=flist, h={'iter': loop_index}) for i in series], 
                                  index=series)
result


    

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