scisort 0.5.3

Smart sorting algorithm for files and folders in research projects and repositories

Scisort - Sort files in research projects

Scisort is a Python package for sorting files in research projects and scientific (data) repositories. Files and folders are sorted in such a way that inspecting folders in research projects is more intuitive. See the philosophy of scisort to understand the sorting algorithm.

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Since scisort is a low-level API, most researchers, developers, and data scientists may be more interested in scitree. Scitree is a smart recursive directory listing program that makes use of scisort.

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Philosophy of scisort

Philosophy of scisort and scitree:

• Read the README first, therefore I'm on top
• Before I install or use the content, I open the LICENSE.
• Files first, folders second
• Numbered files are naturally sorted
• I love intuitive and reproducible project structures
• Follow the order of execution where possible
• I ignore, what git ignores*

* Only for scitree.

For more information about the structure, see scisort/scisort/keygen.py.

Installation

Scisort requires Python 3.6 or later.

pip install scisort

Getting started

Traditional sorting

Consider the following project folder structure. It's a mixture of files and folders. The folder is sorted on the file or folder name. Some reasons why this sort is not intuitive:

files = ['LICENSE.txt',
 'README.md',
 'data',
 'data/Bos_2018.csv',
 'jobs.sh',
 'output',
 'output/simulation',
 'output/simulation/Bos_2018',
 'output/simulation/Bos_2018/descriptives',
 'output/simulation/Bos_2018/descriptives/data_stats_Bos_2018.json',
 'output/simulation/Bos_2018/descriptives/wordcloud_Bos_2018.png',
 'output/simulation/Bos_2018/descriptives/wordcloud_irrelevant_Bos_2018.png',
 'output/simulation/Bos_2018/descriptives/wordcloud_relevant_Bos_2018.png',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_0.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_1640.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3154.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3518.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3519.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3721.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_4612.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_4699.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_559.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_5673.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_6.json',
 'output/simulation/Bos_2018/plot_recall_sim_Bos_2018.png',
 'output/simulation/Bos_2018/state_files',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_0.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_1640.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3154.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3518.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3519.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3721.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_4612.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_4699.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_559.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_5673.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_6.asreview',
 'output/tables',
 'output/tables/data_descriptives.csv',
 'output/tables/data_descriptives.xlsx',
 'output/tables/data_metrics.csv',
 'output/tables/data_metrics.xlsx',
 'scripts',
 'scripts/get_plot.py',
 'scripts/merge_descriptives.py',
 'scripts/merge_metrics.py']

The files and folders are real research output created with ASReview-makita (see examples).

Scisort sorting

Scisort integrates with Python's sorted by supplying the sort key.

from scisort import scisort_keygen

sorted(files, key=scisort_keygen())

['README.md',
 'LICENSE.txt',
 'jobs.sh',
 'data',
 'data/Bos_2018.csv',
 'scripts',
 'scripts/get_plot.py',
 'scripts/merge_descriptives.py',
 'scripts/merge_metrics.py',
 'output',
 'output/simulation',
 'output/simulation/Bos_2018',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_0.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_6.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_559.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_1640.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3154.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3518.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3519.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_3721.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_4612.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_4699.json',
 'output/simulation/Bos_2018/metrics_sim_Bos_2018_5673.json',
 'output/simulation/Bos_2018/plot_recall_sim_Bos_2018.png',
 'output/simulation/Bos_2018/descriptives',
 'output/simulation/Bos_2018/descriptives/wordcloud_Bos_2018.png',
 'output/simulation/Bos_2018/descriptives/wordcloud_irrelevant_Bos_2018.png',
 'output/simulation/Bos_2018/descriptives/wordcloud_relevant_Bos_2018.png',
 'output/simulation/Bos_2018/descriptives/data_stats_Bos_2018.json',
 'output/simulation/Bos_2018/state_files',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_0.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_6.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_559.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_1640.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3154.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3518.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3519.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_3721.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_4612.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_4699.asreview',
 'output/simulation/Bos_2018/state_files/sim_Bos_2018_5673.asreview',
 'output/tables',
 'output/tables/data_descriptives.csv',
 'output/tables/data_descriptives.xlsx',
 'output/tables/data_metrics.csv',
 'output/tables/data_metrics.xlsx']

Third party support

Scisort also integrates with other libraries implementing sorting based on a key.

Pandas

import pandas as pd

from scisort import scisort_keygen_pandas

pd.Series(files).sort_values(key=scisort_keygen_pandas())

Natsort

import natsort as ns

ns.natsorted(files, key=scisort_keygen())

License

MIT

Contact

Feel free to reach out with questions, remarks, and suggestions. The issue tracker is a good starting point. You can also email me at [e-mail].