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

• Corralien: Please, take a while to read How to make good reproducible pandas examples
• Corralien: Multiple if in a row should be combined with &. if cond1: if cond2: if cond3 is the same as if cond1 & cond2 & cond3:

Answer 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

• Pearl: 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: 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: 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