piargus 1.0.1

Description:

piargus 1.0.1

PiArgus
This package provides a python wrapper around τ-ARGUS, a program to protect statistical tables.
This package takes care of generating all the required metadata and runs τ-ARGUS in the background to do the heavy work.
For this package to work, it is required to install τ-ARGUS locally first.
It's also recommended to read the TauArgus manual to understand how it should be used.
Features

Generate output tables from microdata or tabledata. It is recommended to generate from microdata.
Metadata can be generated automatically, although using an existing rda-file is also possible.
It's possible to create hierarchies, codelists, apriori files, recode files all from code or from existing files.
Basic error checking of input is done before input is supplied to argus.

Feel free to contribute for other TauArgus-features.
Feedback is welcome too.
Installing

Download and install the latest version of τ-ARGUS.
Then use pip to install piargus:

$ pip install --upgrade piargus

Example
import pandas as pd
import piargus as pa

tau = pa.TauArgus(r'C:\Users\User\Programs\TauArgus4.2.0b5\TauArgus.exe')
input_df = pd.read_csv('data/microdata.csv')
input_data = pa.MicroData(input_df)
output_table = pa.Table(['sbi', 'regio'], 'income', safety_rule="P(10)")

job = pa.Job(input_data, [output_table], directory='tau')
report = tau.run(job)
table_result = output_table.load_result()

print(report)
print(table_result)

Change C:\Users\User\Programs\TauArgus4.2.0b5\TauArgus.exe to the location where argus is installed.
See tutorial for a general introduction.
See Examples for more examples.
See also
The following packages in R offer similar functionality:

https://github.com/sdcTools/sdcTable
https://github.com/InseeFrLab/rtauargus