Applying function to column in a dataframe

Question

I have a Dataframe containing some Ids, here for example the "manufacturers_id". Below a portion of my dataframe

With an api request, I am able to get the Manufacturer from the Id. My function looks like below:

def get_manufacturer(m_id):
    url = "myapi/" + m_id + "?token=my_token"
    response = requests.get(url)
    manufacturer = json.loads(response.text)['name']
    return manufacturer

Used individually, I can retrieve manufacturer from an Id.

But now, I want to apply this function to the whole column of my dataframe.

df['manufacturers_id'] = df['manufacturers_id'].apply(get_manufacturer(df['manufacturers_id']))

But It give me an error: str is not callable. Or list indices must be integers or slices, not str, depending on my tries

Any help would be appreciated.

score 3 · Accepted Answer · edited Feb 24 '22 at 08:46

3

Try

df['manufacturers_id'] = df['manufacturers_id'].apply(get_manufacturer)

Since the apply function used after a pandas Series indicates that entering each observation value into the function given in apply().

edited Feb 24 '22 at 08:46

timgeb

73,231
20
109
138

answered Feb 24 '22 at 08:42

Denny Chen

424
2
7

`lambda x : get_manufacturer(x)` is the same as `get_manufacturer`. – timgeb Feb 24 '22 at 08:44
@timgeb Yes, it is. – Denny Chen Feb 24 '22 at 08:46

Applying function to column in a dataframe

1 Answers1