How to reduce complexity of my nested if with specific conditions on python

Question

I have been trying to optimise this, but since each if has its own condition, i am not able to reduce its complexity

  for () in ():
      
        if ():
            if ():
               #Logical condition
               if ():
                #Logical condition
               else:
                #Logical condition
            
#another condition
                 if (): 
                  if (): 
                    if ():
                      #Logical condition
                      if index in ():
                        #Logical condition

Please, take a while to read How to make good reproducible pandas examples — Corralien
– Corralien, Commented Jul 15, 2021 at 12:53
Multiple if in a row should be combined with &. if cond1: if cond2: if cond3 is the same as if cond1 & cond2 & cond3: — Corralien
– Corralien, Commented Jul 15, 2021 at 12:56

Edo Akse · Accepted Answer · 2021-07-15 12:57:31Z

1

Logic operators are your friend. and, or, xor, etc

for () in ():
    if () and ():
        #Logical condition
        if ():
            #Logical condition
            pass
        else:
            #Logical condition
            pass

#another condition
    if () and () and () and index in ():
        #Logical condition
        pass

answered Jul 15, 2021 at 12:57

Edo Akse

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3 Comments

Pearl Over a year ago

Hello! Thank you for Answering. While adding the next condition, there are two logical conditions I need to add... just let me know how to add the second one as well. Thanks again!

Edo Akse Over a year ago

which next condition are you talking about? It's not exactly clear from how you describe it. That being said, if you have 2 conditions that both need to be met, you would use if condition1 == True and condition2 == True

Pearl Over a year ago

I tried your method but the execution time for 1000 data has increased from 65 seconds to 72 seconds which is undesired. Do let me know the alternatives

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