```
        domain          intents  expressionId                     name
0           []               []             8  When I dare to be powerful – to use my strengt...
1           []               []             7  When one door of happiness closes, another ope...
2           []               []             6  The first step toward success is taken when yo...
3           []               []             5                  Get busy living or get busy dying
4  [financial, education]    [resolutions]  4  You know you’re in love when you can’t fall as...
5  [financial, business]     [materialistic]3                         Honesty is the best policy

```

Here is my dataframe which is having the domain column with list of strings. And, what I want is to fetch only rows that are having
'domain' contains 'financial'(domain==financial), so that I get the below results:

```
        domain          intents  expressionId                     name
4  [financial, education]    [resolutions]  4  You know you’re in love when you can’t fall as...
5  [financial, business]     [materialistic]3                         Honesty is the best policy

```

What I have tried so far is with the below command:

```
df['domain'].map(lambda x: 'financial' in x)

```

This is returning, the column with objectType as 'bool'.

```
0    False
1    False
2    False
3    False
4     True
5     True
Name: domain, dtype: bool

```

But what I want is the filtered result not the bool values.

Please help me with this. Thank you.