https://github.com/npalacioescat/data_tools

Collection of Python functions and classes designed to make data scientists' life easier.
https://github.com/npalacioescat/data_tools

data-science database model plot python set

Last synced: about 1 year ago
JSON representation

Collection of Python functions and classes designed to make data scientists' life easier.

Host: GitHub
URL: https://github.com/npalacioescat/data_tools
Owner: npalacioescat
License: gpl-3.0
Created: 2018-04-19T17:40:50.000Z (about 8 years ago)
Default Branch: master
Last Pushed: 2024-10-22T09:21:36.000Z (over 1 year ago)
Last Synced: 2024-12-01T09:44:55.500Z (over 1 year ago)
Topics: data-science, database, model, plot, python, set
Language: Python
Homepage: https://nic-nic.github.io/data_tools/
Size: 11.7 MB
Stars: 3
Watchers: 1
Forks: 5
Open Issues: 2
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md

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README

          # data_tools

[![Python version supported](https://img.shields.io/badge/python-2.7%20%7C%203.7-blue.svg)](https://www.python.org/)

[![GitHub release](https://img.shields.io/github/tag/Nic-Nic/data_tools.svg?color=blue)](https://github.com/Nic-Nic/data_tools/releases)

[![Build Status](https://travis-ci.com/Nic-Nic/data_tools.svg?branch=master)](https://travis-ci.com/Nic-Nic/data_tools)

[![Issues](https://img.shields.io/github/issues/Nic-Nic/data_tools.svg)](https://github.com/Nic-Nic/data_tools/issues)

[![Pull requests](https://img.shields.io/github/issues-pr/Nic-Nic/data_tools.svg)](https://github.com/Nic-Nic/data_tools/pulls)

[![Website status](https://img.shields.io/website/https/nic-nic.github.io/data_tools/html/index.html.svg?down_color=red&down_message=offline&up_message=online)](https://nic-nic.github.io/data_tools/html/index.html)

[![License](https://img.shields.io/github/license/Nic-Nic/data_tools.svg?color=blue)](LICENSE.md)

Data tools: a collection of Python functions and classes designed to

make data scientists' life easier.

Copyright (C) 2020 Nicolàs Palacio-Escat

Contact: [nicolas.palacio@bioquant.uni-heidelberg.de](mailto:nicolas.palacio@bioquant.uni-heidelberg.de)

## Disclaimer

This package is still under development and will be periodically updated

with new features. Contributions are very welcome (fork + pull request).

If you find any bug or suggestion for upgrades, please use the [issue

system](https://github.com/Nic-Nic/data_tools/issues).

GNU-GLPv3:

This program is free software: you can redistribute it and/or modify it

under the terms of the GNU General Public License as published by the

Free Software Foundation.

This program is distributed in the hope that it will be useful, but

WITHOUT ANY WARRANTY; without even the implied warranty of

MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General

Public License for more details.

A full copy of the GNU General Public License can be found on file

[LICENSE.md](LICENSE.md). If not, see .

## Contents

- [databases](https://nic-nic.github.io/data_tools/html/databases.html)

    - [kegg_link](https://nic-nic.github.io/data_tools/html/databases.html#data_tools.databases.kegg_link)

    - [kegg_pathway_mapping](https://nic-nic.github.io/data_tools/html/databases.html#data_tools.databases.kegg_pathway_mapping)

    - [op_kinase_substrate](https://nic-nic.github.io/data_tools/html/databases.html#data_tools.databases.op_kinase_substrate)

    - [up_map](https://nic-nic.github.io/data_tools/html/databases.html#data_tools.databases.up_map)

- [diffusion](https://nic-nic.github.io/data_tools/html/diffusion.html)

    - [build_mat](https://nic-nic.github.io/data_tools/html/diffusion.html#data_tools.diffusion.build_mat)

    - [coef_mat_hetero](https://nic-nic.github.io/data_tools/html/diffusion.html#data_tools.diffusion.coef_mat_hetero)

- [iterables](https://nic-nic.github.io/data_tools/html/iterables.html)

    - [bit_or](https://nic-nic.github.io/data_tools/html/iterables.html#data_tools.iterables.bit_or)

    - [chunk_this](https://nic-nic.github.io/data_tools/html/iterables.html#data_tools.iterables.chunk_this)

    - [find_min](https://nic-nic.github.io/data_tools/html/iterables.html#data_tools.iterables.find_min)

    - [in_all](https://nic-nic.github.io/data_tools/html/iterables.html#data_tools.iterables.in_all)

    - [similarity](https://nic-nic.github.io/data_tools/html/iterables.html#data_tools.iterables.similarity)

    - [subsets](https://nic-nic.github.io/data_tools/html/iterables.html#data_tools.iterables.subsets)

    - [unzip_dicts](https://nic-nic.github.io/data_tools/html/iterables.html#data_tools.iterables.unzip_dicts)

- [models](https://nic-nic.github.io/data_tools/html/models.html)

    - [DoseResponse](https://nic-nic.github.io/data_tools/html/models.html#data_tools.models.DoseResponse)

    - [Lasso](https://nic-nic.github.io/data_tools/html/models.html#data_tools.models.Lasso)

    - [Linear](https://nic-nic.github.io/data_tools/html/models.html#data_tools.models.Linear)

    - [PowerLaw](https://nic-nic.github.io/data_tools/html/models.html#data_tools.models.PowerLaw)

- [plots](https://nic-nic.github.io/data_tools/html/plots.html)

    - [cmap_bkgr](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.cmap_bkgr)

    - [cmap_bkrd](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.cmap_bkrd)

    - [cmap_rdbkgr](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.cmap_rdbkgr)

    - [chordplot](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.chordplot)

    - [cluster_hmap](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.cluster_hmap)

    - [density](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.density)

    - [pca](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.pca)

    - [phase_portrait](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.phase_portrait)

    - [piano_consensus](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.piano_consensus)

    - [similarity_heatmap](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.similarity_heatmap)

    - [similarity_histogram](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.similarity_histogram)

    - [upset_wrap](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.upset_wrap)

    - [venn](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.venn)

    - [volcano](https://nic-nic.github.io/data_tools/html/plots.html#data_tools.plots.volcano)

- [signal](https://nic-nic.github.io/data_tools/html/signal.html)

    - [fconvolve](https://nic-nic.github.io/data_tools/html/signal.html#data_tools.signal.fconvolve)

    - [gauss_kernel](https://nic-nic.github.io/data_tools/html/signal.html#data_tools.signal.gauss_kernel)

    - [gauss_noise](https://nic-nic.github.io/data_tools/html/signal.html#data_tools.signal.gauss_noise)

- [spatial](https://nic-nic.github.io/data_tools/html/spatial.html)

    - [equidist_polar](https://nic-nic.github.io/data_tools/html/spatial.html#data_tools.spatial.equidist_polar)

    - [get_boundaries](https://nic-nic.github.io/data_tools/html/spatial.html#data_tools.spatial.get_boundaries)

    - [neighbour_count](https://nic-nic.github.io/data_tools/html/spatial.html#data_tools.spatial.neighbour_count)

- [strings](https://nic-nic.github.io/data_tools/html/strings.html)

    - [is_numeric](https://nic-nic.github.io/data_tools/html/strings.html#data_tools.strings.is_numeric)

    - [join_str_lists](https://nic-nic.github.io/data_tools/html/strings.html#data_tools.strings.join_str_lists)

## Dependencies

- [NumPy](http://www.numpy.org/)

- [Matplotlib](https://matplotlib.org/)

- [Pandas](https://pandas.pydata.org/)

- [SciPy](https://www.scipy.org/)

- [Scikit-learn](http://scikit-learn.org/stable/index.html)

- [UpSetPlot](https://github.com/jnothman/UpSetPlot)

- [adjustText](https://github.com/Phlya/adjustText)

- [certifi](https://github.com/certifi/python-certifi)

## Installation

### Fast way with pip

If you have `pip`, just type on the terminal:

```bash

pip install git+https://github.com/Nic-Nic/data_tools.git

```

### By cloning the git repository

First download/clone `data_tools` from the [GitHub repository](https://github.com/Nic-Nic/data_tools.git).

From the terminal:

```bash

git clone https://github.com/Nic-Nic/data_tools.git

cd data_tools

```

Then you can install it by running `setup.py` as follows:

```bash

python setup.py sdist

```

Or using `pip`:

```bash

pip install .

```

### Testing the module

Along with `data_tools`, all dependencies will be installed as well as

the testing suite. In order to run the tests, type on the terminal:

```bash

python -m test_data_tools

```

**NOTE:** `data_tools.plots` module does not have any tests implemented.

## Documentation

You can find a detailed description of the modules and functions within

this package in the [webpage](https://nic-nic.github.io/data_tools/),

also available as a [PDF](/docs/latex/data_tools.pdf).

You can also find the version history in the [changelog](CHANGELOG.md).

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

https://github.com/npalacioescat/data_tools

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