Cant delete rows in a dataframe python 3 . Value error: truth value ambiguous

I have a dataframe of 12 columns, one column is just boolean; showing whether the given condition (dependent on other columns) is satisfied or not. That column is called "normality". I am trying to delete the rows of False values only if the row before and the row after that are True.

for s in range((dfm['normality'].count())):
    if dfm.loc[[s],('normality')] == False:
       if ((dfm.loc[[s+1],('normality')]) == True) & ((dfm.loc[[s-1],('normality')]) == True):
        dfm=dfm.drop(dfm.index[s])
else:
    ;

I have tried to use this code, yet I constantly get the error:

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

on line 7 (the first if statement).

Any help would be appreciated, thank you.