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Basics of partial order aiming at data analysis.

Project description

Module: pyhasse.core

Features

Basic module for all pyhasse modules:

  • import data from csv files

Display parts of the dataset after import:

  • Attributes

  • Objects

  • Data

Calculate:

The mathematical of the following items is given by the theory of partially ordered sets (posets), a discipline of Discrete Mathematics. it combines graph theory, algebra and combinatorics. In pyhasse a statistical point of view is taken.

  • Zeta matrix

  • Cover matrix

  • Levels

  • Equivalence classes

  • Distances

History

0.2.3 (2021-01-07)

  • removed some print statements

0.2.2 (2020-08-16)

  • general refactoring

0.2.0 (2020-06-06)

  • general refactoring

  • code is splitted in:

    • csv_io.py # read data from csv-files

    • matrix.py # calculate a reduced matrix

    • order.py # special operation based on a reduced matrix and zeta matrix

  • moved the code from bitbucket to gitlab

0.1.8 (2019-03-27)

  • removed function: get_downset_connections from module hddata

  • improved desecription for better search results with “pip search pyhasse”

0.1.7 (2019-03-24)

  • README improved

  • tests for order module added

  • URL for repository added

0.1.6 (2019-03-09)

  • README improved

  • Classifier added

0.1.5 (2019-03-05)

  • set long_description_content_type to text/x-rst

0.1.4 (2018-12-26)

  • css class removed from output as HTML table, best output for Jupyter notebooks

0.1.3 (2018-12-22)

  • new test for CSV import with hypothesis

0.1.2 (2018-12-03)

  • license changed to MIT

  • changed the format of the date in this file

0.1.1 (2018-11-29)

  • documentation improved

0.1.0 (2018-11-06)

  • first release

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