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Python library to manipulate Open Travel Data

Project description

Minimalist GeoBases implementation:

  • no dependencies
  • compatible with Python 3.6+, CPython and PyPy
  • one data source: opentraveldata
  • one Python module for easier distribution on clusters (like Hadoop)
  • faster load time (5x)
  • tested with pytest and tox
>>> from neobase import NeoBase
>>> b = NeoBase()
>>> b.get('ORY', 'city_code_list')
>>> b.get('ORY', 'city_name_list')
>>> b.get('ORY', 'country_code')
>>> b.distance('ORY', 'CDG')
>>> b.get_location('ORY')
LatLng(lat=48.72..., lng=2.35...)


You can install directly after cloning:

pip install --user .

Or use the Python package:

pip install --user neobase


Check out readthedocs for the API.

You can customize fields loaded by subclassing.

class SubNeoBase(NeoBase):
    KEY = 0  # iata_code

    # Those loaded fields are the default ones
    FIELDS = (
        ("name", 6, None),
        ("lat", 8, None),
        ("lng", 9, None),
        ("page_rank", 12, lambda s: float(s) if s else None),
        ("country_code", 16, None),
        ("country_name", 18, None),
        ('continent_name', 19, None),
        ("timezone", 31, None),
        ("city_code_list", 36, lambda s: s.split(",")),
        ('city_name_list', 37, lambda s: s.split('=')),
        ('location_type', 41, None),
        ("currency", 46, None),

    # Drop duplicates, keep only the first POR with a specific key
    # Default value is True
    DUPLICATES = False

N = SubNeoBase()

You can also customize the source data when initializing:

with open("file.csv") as f:
    N = NeoBase(f)

Otherwise the loaded file will be the embedded one, unless the OPTD_POR_FILE environment variable is set. In that case, it will load from the path defined in that variable.

You can manually retrieve the latest data source yourself too, but you expose yourself to some breaking changes if they occur in the data.

from io import StringIO
from urllib.request import urlopen

from neobase import NeoBase, OPTD_POR_URL

data = urlopen(OPTD_POR_URL).read().decode('utf8')
N = NeoBase(StringIO(data))

Command-line interface

You can query the data using:

python -m neobase PAR NCE



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