Multiple conditions in for-loop

Question

I want to loop through a data frame to check if one statement is stratified (before checking elif, I want the code goes through all the K values and if it is not satisfied check the elif): I have the following data frame:

z={'speed':[2.2,12.74,5.1,.91,8.9]}
data=pd.DataFrame(data=z)

I want to select the row which has speed less than 5 and previous speed is also less than 5. if this statement is not satisfied, I want the code finds the first point (backwards) which has speed less than 5 this is the code I've wrote but it has syntax error and I'm not sure if the code goes through all k to check the first statement and then check the second one in case the first one is not satistfied:

for k in reversed(data.index[:-1]):
if (data['speed'][k]<5 and data['speed'][k-1]<5):
    print(k)
break
elif data['speed'][k]<5:
    print(k)
break

the outcome of this should be 3, since the first statement is not satisfied Thank you for your help

Answer 1

Your break statement indentation is not correct. The code is always breaking the loop at the first break . The code should be like this:

import pandas as pd
z={'speed':[2.2, 2.74, 5.1, 9.1, 0.5]}
data=pd.DataFrame(data=z)

found = 0

for k in range(len(data['speed']) - 1, 0, -1):
    if (data['speed'][k]<5 and data['speed'][k-1]<5):
       print(k)
       found = 1
       break
    
if found == 0:
    for k in range(len(data['speed']) - 1, -1, -1):
        if data['speed'][k]<5:
           print(k)
           break