In [1]:

    

from collections import namedtuple


    

In [2]:

    

City = namedtuple('City', 'name country population coordinates')
tokyo = City('Tokyo', 'JP', 36.933, (35.689722, 139.691667))


    

In [3]:

    

tokyo


    

    
Out[3]:





City(name='Tokyo', country='JP', population=36.933, coordinates=(35.689722, 139.691667))

In [4]:

    

tokyo.population


    

    
Out[4]:





36.933

In [5]:

    

tokyo.coordinates


    

    
Out[5]:





(35.689722, 139.691667)

In [6]:

    

tokyo[1]


    

    
Out[6]:





'JP'

In [7]:

    

City._fields


    

    
Out[7]:





('name', 'country', 'population', 'coordinates')

In [8]:

    

LatLong = namedtuple('LatLong', 'lat long')


    

In [9]:

    

delhi_data = ('Delhi NCR', 'IN', 21.935, LatLong(28.613889, 77.208889))


    

In [10]:

    

delhi = City._make(delhi_data)


    

In [11]:

    

delhi


    

    
Out[11]:





City(name='Delhi NCR', country='IN', population=21.935, coordinates=LatLong(lat=28.613889, long=77.208889))

In [12]:

    

delhi._asdict


    

    
Out[12]:





<bound method City._asdict of City(name='Delhi NCR', country='IN', population=21.935, coordinates=LatLong(lat=28.613889, long=77.208889))>

In [13]:

    

delhi._asdict()


    

    
Out[13]:





OrderedDict([('name', 'Delhi NCR'),
             ('country', 'IN'),
             ('population', 21.935),
             ('coordinates', LatLong(lat=28.613889, long=77.208889))])

In [14]:

    

for key, value in delhi._asdict().items():
    print(key + ':', value)


    

    




name: Delhi NCR
country: IN
population: 21.935
coordinates: LatLong(lat=28.613889, long=77.208889)