That's right. There is also another function that selects a specific row using indexes. In pandas, you can give each row in a DataFrame a meaningful index, other than the default sequential index. Here, we can use dataframe.set_index():
hospitals = hospitals.set_index('Phone Number')
The code above will set the Phone Number column as the index. If we now call the whole DataFrame or just the first five rows with
hospitals.head()we will see the following:
| Phone Number | Hospital Name | City | State | Hospital overall rating | Full City |
|---|---|---|---|---|---|
| 8643665011 | Abbeville Area Medical Center | Abbeville | SC | 4 | Abbeville, SC |
| 3378935466 | Abbeville General Hospital | Abbeville | LA | 3 | Abbeville, LA |
| 6056225000 | Avera St Lukes | Aberdeen | SD | 5 | Aberdeen, SD |
| 6056264200 | Sanford Aberdeen Medical Center | Aberdeen | SD | 4 | Aberdeen, SD |
| 3605328330 | Grays Harbor Community Hospital | Aberdeen | WA | 2 | Aberdeen, WA |
Instead of integers starting from 0 on the left, you can see each hospital's phone number as the index.
Set the Country column as the index for eu_states.
To set the index:
eu_states = eu_states.set_index('Country')
