Each classification system has multiple level.
So from each classification system, you can query the number of levels and for a given level you can get the elements of the level under.
It means for example with NAF, you have:
- from universal_isic import NAFV2
- NAFV2.number_of_levels => return 5
- NAFV2.all_elements => return a list of all the elements
- NAFV2.get_elements(level=1, previous_levels=list[list[int|str]])
- NAFV2(level_1="A", level_2="01").convert_to(ISICV4)
It means we need to have something to know what are the sub elements of a given level.
This is a copy of the repository you can find in gitlab behind the isic package for python.
Plan here is to use the same structure but extends it to all the national classification system in order to get seamless mapping between different systems.
This is just a Python-friendly way to reference revision 4 of the International
Standard Industrial Classification (ISIC). It's the result of pulling down
this URL_ and formatting it into a native Python object. For more
information, or to see this data in other original source formats, visit the UN
here_.
.. _this URL: https://unstats.un.org/unsd/classifications/Econ/Download/In%20Text/ISIC_Rev_4_english_structure.Txt .. _here: https://unstats.un.org/unsd/classifications/Econ/isic
It's really not very advanced. Just import it and reference it however you like:
.. code-block:: python
from isic import ISIC
print(ISIC["02"]) # "Forestry and logging"
print(ISIC["B"]) # "Mining and quarrying"
It's also handy if you want to use it in a Django model:
.. code-block:: python
from django.db import models
from isic import ISIC
class MyModel(models.Model):
industry = models.CharField(max_length=5, choices=ISIC.items())
It's on PyPi, so just install it with pip.
.. code-block:: shell
$ pip install isic