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.
- 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.
$ pip install --upgrade piargus
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.
The following packages in R offer similar functionality: