Converts Location Column to "Latitude" and "Longitude" columns

convert_location_column.py

# Each coordinate is in the form of a dictionary like so: 
#
# {'latitude': 34.3, 'longitude': -89.5}
#
# So we will use list compreshension to create a new column, 
# using dictionary.get(key) to access each value.
location_df['latitude'] = [value.get('latitude') for value in location_df['coordinate']]
location_df['longitude'] = [value.get('longitude') for value in location_df['coordinate']]

#And drop the old coordinate column, since we have gotten what we need out of it
location_df.drop('coordinate', axis=1, inplace=True)