I have the following table of data in a spreadsheet: 

```
Name    Description Value
foo     foobar      5
baz     foobaz      4
bar     foofoo      8

```

I'm reading the spreadsheet and passing the data as a dataframe. 

I need to transform this table of data to json following a specific schema. 

I have the following script:

```
for index, row in df.iterrows():
    if row['Description'] == 'foofoo':
            print(row.to_dict())

```

which return:

```
{'Name': 'bar', 'Description': 'foofoo', 'Value': '8'}

```

I want to be able to filter out a specific column. For example, to return this:

```
{'Name': 'bar', 'Description': 'foofoo'}

```

I know that I can print only the columns I want with this `print(row['Name'],row['Description'])` however this is only returning me values when I also want to return the key. 

How can I do this?