SSB-NUDB-USE
Description
NUDB is the National Education Database of Norway. It is operated by Statsitics Norway - section 360. This package is the main "usage-package" for those seeking to use NUDB-data, or deliver data to NUDB.
NUDBs data is kept as parquet files in GCP, and you will need seperate access to this data to utilize this package. Some features in this package might require access to other data, like BRREG (Brønnøysundregisteret), BOF (befolkningsregisteret), BOF (virksomhetsregisteret) etc.
Installation
You can install SSB Nudb Use via poetry from PyPI:
poetry add ssb-nudb-use
Dependencies
This package depends on the package "ssb-nudb-config", which contains metadata, but also points to content in other metadatasystems like Vardef, Klass and Datadoc.
Usage
Please see the Reference Guide for details.
Usage for extraction (data from NUDB)
NudbData()
The NudbData class allows easy access, filtering, and selection of data from NUDB. It automatically selects the latest version of the main datasets: AVSLUTTA, IGANG, and EKSAMEN, and also other virtual datasests like UTD_HOEYESTE.
from nudb_use import NudbData
df = (
NudbData("igang") # get latest version of IGANG
.select("snr", "nus2000", "utd_skoleaar_start") # SQL SELECT statement
.where("utd_skoleaar_start = '2025'") # SQL WHERE statement
.df() # Materialize view into a pandas DataFrame
)
derive
The derive module allows easy derivation of variables which aren't stored in the data. It automatically handles dependencies between derived variables (deriving variables in the correct order). To derive a variable my_variable you just do derive.<my_variable>(<my_data>). For example, to derive utd_skoleaar_slutt:
from nudb_use import derive
df = derive.utd_skoleaar_slutt(df)
Find the latest of each file shared.
from nudb_use import latest_shared_paths
latest_shared_paths()
Get the periods out of any paths following the SSB-naming standard.
from nudb_use import get_periods_from_path
get_periods_from_path(path)
Usage for delivery (data to NUDB)
We have renamed a lot of our variables transitioning from the old on-prem systems. If you are looking for the new or old names of variables, you can use the find_var or find_vars functions:
from nudb_use import find_vars
find_vars(["snr", "sosbak"])
Find the dtype and length (char-width) of strings using a dataeset name:
from nudb_use import look_up_dtype_length_for_dataset
print(look_up_dtype_length_for_dataset("igang_videregaaende"))
If you want to update the column names you have in a pandas dataframe, to the new column names - there's a function for that:
from nudb_use import update_colnames
df = update_colnames(df)
After renaming, you can get the pandas dtypes the columns should have with get_dtypes:
from nudb_use import get_dtypes
dtypes = get_dtypes(df)
df = df.astype(dtypes)
If you are delivering to NUDB, we want you to run our quality suite before sharing the data with us:
from nudb_use import run_quality_suite
run_quality_suite(df, "avslutta")
Data about your delivery, like "avslutta", should first have its data entered into, and released in the ssb-nudb-config package before available in this function. Contact the NUDB-team to define a new delivery.
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide.
License
Distributed under the terms of the MIT license, SSB Nudb Use is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Credits
This project was generated from Statistics Norway's SSB PyPI Template.
Metadata
Release files for ssb-nudb-use 2026.8.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
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| ssb_nudb_use-2026.8.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 252.1 kB
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