Pandas: Passing format options into functions

Question

I want to extract coordinates from postcodes as a new df column.

The functionality from the geopy module is:

from geopy.geocoders import Nominatim
geolocator = Nominatim()
location = geolocator.geocode('%s tn6 3rn')

print((location.latitude, location.longitude))
(51.0459837, 0.2192646)

My function to apply to this to a single value works:

def pcodeToCoor(x):
    geolocator = Nominatim()
    location = geolocator.geocode(x)
    return ((location.latitude, location.longitude))

pcodeToCoor('%s tn6 3rn')
(51.0459837, 0.2192646)

But when passing the function to a test df:

    name    postcode
0   jd      tn6 3rn
1   hf      en6 1dg
2   ss      sw17 0ju

df['coordinate'] = df['postcode'].map(pcodeToCoor)

I get AttributeError: 'NoneType' object has no attribute 'latitude. Note I can recreate this error by removing %s from the basic api functionality.

The question is, how do I use %s in my function? I imagine the answer's very simple but nothing I've tried works!

Scott Boston · Accepted Answer · 2017-05-11T12:44:28.930

You could do something like this if you are going to use this function consistently this way, or you code code a check to see if your string starts with "%s".

def pcodeToCoor(x):
    geolocator = Nominatim()
    location = geolocator.geocode('%s '+x)
    return ((location.latitude, location.longitude))

Edit:

def pcodeToCoor(x):
    if x[0:2] != '%s':
        x = '%s ' + x 
    geolocator = Nominatim()
    location = geolocator.geocode(x)
    return ((location.latitude, location.longitude))

Test:

pcodeToCoor('%s tn6 3rn')

Output:

(51.0459837, 0.2192646)

Test 2:

df['postcode'].map(pcodeToCoor)

Output:

0     (51.0459837, 0.2192646)
1    (51.7206134, -0.2042041)
2    (51.3866947, -0.1800573)
Name: postcode, dtype: object

Pandas: Passing format options into functions

1 Answers1

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