I am an R User that is trying to learn more about Python.

I found this Python library that I would like to use for address parsing: <https://github.com/zehengl/ez-address-parser>

I was able to try an example over here:

```
from ez_address_parser import AddressParser

ap = AddressParser()

result = ap.parse("290 Bremner Blvd, Toronto, ON M5V 3L9")
print(results)
[('290', 'StreetNumber'), ('Bremner', 'StreetName'), ('Blvd', 'StreetType'), ('Toronto', 'Municipality'), ('ON', 'Province'), ('M5V', 'PostalCode'), ('3L9', 'PostalCode')]

```

I have the following file that I imported:

```
df = pd.read_csv(r'C:/Users/me/OneDrive/Documents/my_file.csv',  encoding='latin-1')

   name                               address
1 name1 290 Bremner Blvd, Toronto, ON M5V 3L9
2 name2 291 Bremner Blvd, Toronto, ON M5V 3L9
3 name3 292 Bremner Blvd, Toronto, ON M5V 3L9

```

I tried to apply the above function and export the file:

```
df['Address_Parse'] = df['ADDRESS'].apply(ap.parse)

df = pd.DataFrame(df)
df.to_csv(r'C:/Users/me/OneDrive/Documents/python_file.csv', index=False, header=True)

```

This seems to have worked - but everything appears to be in one line!

```
[('290', 'StreetNumber'), ('Bremner', 'StreetName'), ('Blvd', 'StreetType'), ('Toronto', 'Municipality'), ('ON', 'Province'), ('M5V', 'PostalCode'), ('3L9', 'PostalCode')]

```

Is there a way in Python to make each of these "elements" (e.g. StreetNumber, StreetName, etc.) into a separate column?

Thank you!