Getting type error while iterating through columns to make API request

I have a dataset from Kaggle (https://www.kaggle.com/datasets/michaelbryantds/tornadoes/) where I am iterating through four columns (date, slat, slon, time) to make an API request from this API https://www.visualcrossing.com/resources/documentation/weather-api/timeline-weather-api/. I have drawn a weighted sample of 250 tornadoes (so I won't surpass the 1000 request/day limit).

The goal is to use those three datapoints to append the temperature, humidity, and pressure data to each tornado.

The problem I am having is I am getting

> TypeError: 'float' object is not subscriptable

when I try to make a simple "for" loop to cycle through and print the responses before I even try to code in the portion to append it to the DF. Can someone point me in the right direction here?

df = Sample_df
Sample_df.slat.astype('float')
Sample_df.slon.astype('float')
for (tornado,lon) in df.iterrows():
    date = lon['date']
    lat = lon['slat']
    lon = lon['slon']
    t = lon['time']
    
    apikey = 'MY_API_KEY'
    url = "https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/{},{}/{}T{}?key={}".format(lat,lon,date,time,apikey)
    response = requests.get(url)  
    response_dict = response.json()
    print(response_dict)

You have redefined lon in cycle to a float lon = lon['slon'].
Choose another name for this variable.

Also time is not defined, but t is.

Your issue that you've used reassigned the variable lon before you finished extracting all the data:

for (tornado,lon) in df.iterrows():
    date = lon['date']
    lat = lon['slat']
    lon = lon['slon']  # Overwrites the variable lon with a float value
    t = lon['time']  # Attempts to access the old value of lon

You can fix this by giving the variable a different name:

for (tornado,data) in df.iterrows():
    date = data['date']
    lat = data['slat']
    lon = data['slon']
    t = data['time']