WenjieDu / PyGrinder

PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing

Date Created 2022-04-12 (2 years ago)

Commits 132 (last one about a month ago)

Stargazers 46 (0 this week)

Watchers 3 (0 this week)

Forks 5

License bsd-3-clause

Ranking

RepositoryStats indexes 633,911 repositories, of these WenjieDu/PyGrinder is ranked #514,544 (19th percentile) for total stargazers, and #418,592 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #101,260/129,643.

WenjieDu/PyGrinder is also tagged with popular topics, for these it's ranked: python (#20,164/23469), machine-learning (#7,241/8417), data-science (#1,946/2222), data-mining (#273/296)

Other Information

There have been 13 releases, the latest one was published on 2025-02-03 (about a month ago) with the name v0.7 🆕 Add mnar_nonuniform algo.

Homepage URL: https://pypots.com/ecosystem/#PyGrinder

All Topics

mar mcar mnar block python sequence synthetic imputation data-mining missingness data-science missing-data interpolation missing-values missing-pattern machine-learning missing-mechanism pattern-recognition

Star History

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Watcher History

Github watchers over time, collection started in '23

Recent Commit History

132 commits on the default branch (main) since jan '22

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Issue History

Languages

The only known language in this repository is Python

updated: 2025-03-31 @ 05:33pm, id: 480799452 / R_kgDOHKhq3A