I need to extract rows if certain conditions are applied. 

1. the column `col1` should contain all the words in the list `list_words`.
2. the last word should be `Story`
3. the last word in the next row should b `ac`:

This is my current code:

```
import pandas as pd

df = pd.DataFrame({'col1': ['Draft SW Quality Assurance Story', 'alex ac', 'anny ac', 'antoine ac','aze epic', 'bella ac', 'Complete SW Quality Assurance Plan Story', 'celine ac','wqas epic', 'karmen ac', 'kameilia ac', 'Update SW Quality Assurance Plan Story', 'joseph ac','Update SW Quality Assurance Plan ac', 'joseph ac'],
                   'col2': ['aa', 'bb', 'cc', 'dd','ee', 'ff', 'gg', 'hh', 'ii', 'jj', 'kk', 'll', 'mm', 'nn', 'oo']}) 
print(df)

list_words="SW Quality Plan Story"
set_words = set(list_words.split())
#check if list_words is in the cell
df['TrueFalse']=pd.concat([df.col1.str.contains(word,regex=False) for word in list_words.split()],axis=1).sum(1) > 1 

print('\n',df)
#extract last word
df["Suffix"] = df["col1"].str.split().str[-1]
print('\n',df)
df['ok']=''
for i in range (len(df)-1):
    if ((df["Suffix"].iloc[i]=='Story') & (df["TrueFalse"].iloc[i]=='True') & (df["Suffix"].iloc[i+1]=='ac')):
        df['ok'].iloc[i+1]=df["Suffix"].iloc[i+1]

print('\n',df)  

```

output:

```
                                         col1 col2  TrueFalse Suffix ok
0           Draft SW Quality Assurance Story   aa       True  Story   
1                                    alex ac   bb      False     ac   
2                                    anny ac   cc      False     ac   
3                                 antoine ac   dd      False     ac   
4                                   aze epic   ee      False   epic   
5                                   bella ac   ff      False     ac   
6   Complete SW Quality Assurance Plan Story   gg       True  Story   
7                                  celine ac   hh      False     ac   
8                                  wqas epic   ii      False   epic   
9                                  karmen ac   jj      False     ac   
10                               kameilia ac   kk      False     ac   
11    Update SW Quality Assurance Plan Story   ll       True  Story   
12                                 joseph ac   mm      False     ac   
13       Update SW Quality Assurance Plan ac   nn       True     ac   
14                                 joseph ac   oo      False     ac   

```

**line 13** should be set to `False`

desired output :

```
                                        col1 col2  TrueFalse Suffix     
1   Complete SW Quality Assurance Plan Story   gg      True  Story   
2                                  celine ac   hh      True  ac   
3    Update SW Quality Assurance Plan Story    ll      True  Story   
4                                 joseph ac    mm      True  ac   

```