DCIC-wrangling
This is a collection of scripts and Jupyter notebooks that can be helpful when performing many data wrangling tasks. Most of the tools are specific to 4DN Nucleome wrangling needs, however may be modified to be more generally useful for certain tasks.
Install
Packaged with poetry can be installed using make, poetry or pip.
From the dcicwrangling directory - make build
If you already have poetry installed - poetry install
Or to pip install from PyPi - pip install dcicwrangling
All dependencies are installed by default - if for some reason you don't want to install pytest packages or invoke (used to launch notebooks) you can do poetry install --no-dev - not recommended.
Usage
Jupyter notebooks
There are a collection of commonly used jupyter notebooks in the notebooks/useful_notebooks directory. You can start a jupyter notebook server locally using invoke notebook from the top level directory. This should launch the server and open a browser page where the notebooks can be accessed.
IMPORTANT! - You should create your own folder in the notebooks directory named Yourname_scripts. This folder is where you should create, access and run your notebooks. If you want to start with one of the notebooks in the useful_notebooks directory please create a copy and move it to your own folder. This keeps the repository clean and organized. Please DO NOT run notebooks in the useful_notebooks directory and commit the results to the repository.
Scripts
The scripts directory contains some useful command line scripts. They can be run from the top level directory using python scripts/script_name --options. Using --help shows available options. In general, modified versions and bespoke scripts should not be committed to the repository - or alternatively committed to a separate non-master branch.
As scripts are developed and refined tool.poetry.scripts directives can be added to facilitate script usage - see pyproject.toml file example.
Metadata
Release files for dcicwrangling 3.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dcicwrangling-3.2.0.tar.gz | 57.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dcicwrangling-3.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 126.7 kB
Release files / dcicwrangling-3.2.0.tar.gz
| Download URL | dcicwrangling-3.2.0.tar.gz |
|---|---|
| Size | 57.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.4.2 CPython/3.11.9 Linux/6.5.0-1025-azure
|
Release files / dcicwrangling-3.2.0-py3-none-any.whl
| Download URL | dcicwrangling-3.2.0-py3-none-any.whl |
|---|---|
| Size | 69.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.4.2 CPython/3.11.9 Linux/6.5.0-1025-azure
|