Skip to main content

Data analysis tools for the Lexi project

Project description

LEXI Logo

DOI

A python package for data analysis related to LEXI.

Installation Guide

The next section of this document will guide you through the installation process of lexi.

Though it is not necessary, we strongly recommend that you install lexi in a virtual environment. This will prevent any conflicts with other Python packages you may have installed.

A virtual environment is a self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages. You can install packages into a virtual environment without affecting the system's Python installation. This is especially useful when you need to install packages that might conflict with other packages you have installed.

Creating a virtual environment

There are several ways to create a virtual environment. We recommend using python3 to do so.

For this exercise, we will assume that you have a directory called Documents/lexi where you will install lexi and create your virtual environment. Please replace Documents/lexi with the actual path to the directory where you want to install lexi and create your virtual environment.

  • cd into Documents/lexi

Using python3

You can create a virtual environment called lexi_venv (or any other name you might like) using python3 by running the following command:

    python3 -m venv lexi_venv

You can activate the virtual environment by running the following command:

on Linux/MacOS:

    source lexi_venv/bin/activate

on Windows:

    .\lexi_venv\Scripts\activate

You can deactivate the virtual environment by running the following command:

    deactivate

Installing lexi

Installing from PyPI

After you have created and activated your virtual environment, you can install lexi from PyPI by running the following command:

    pip install lexi_xray

Installing from source

After you have created and activated your virtual environment, you can install lexi directly from GitHub by running the following command:

    pip install git+https://github.com/Lexi-BU/lexi

NOTE: This will install the latest version of lexi from the main branch. If you want to install a specific version, please append the version number to the URL. For example, if you want to install version 0.3.1, you can run the following command:

    pip install git+https://github.com/Lexi-BU/lexi@0.3.1

Verifying the installation

You can verify that lexi was installed by running the following command:

    pip show lexi_xray

which should produce output similar to the following:

    Name: lexi_xray
    Version: 0.0.1
    Summary: Main repository for all data analysis related to LEXI
    Home-page: 
    Author: qudsiramiz
    Author-email: qudsiramiz@gmail.com
    License: GNU GPLv3
    Location: /home/cephadrius/Desktop/lexi_code_test_v2/lexi_test_v2/lib/python3.10/site-packages
    Requires: cdflib, matplotlib, pandas, pytest, toml
    Required-by: 

You can also verify that lexi was installed by running the following command:

    pip list

which should produce output similar to the following:

    Package         Version
    --------------- -------
    .....................
    kiwisolver      1.4.5
    lexi_xray         0.4.1
    matplotlib      3.8.2
    numpy           1.26.4
    .....................

You can open a Python shell and import lexi by running the following command:

    python
    from lexi_xray import lexi as lexi
    import lexi_xray
    lexi_xray.__version__

which should produce output similar to the following:

'0.4.1'

If that worked, congratulations! You have successfully installed lexi.

Using LEXI Software

NOTE: We will add more examples and tutorials in the future. For now, we will use a Jupyter Notebook to demonstrate how to use lexi to analyze data from LEXI.

Using the Example Google Colab Notebook

    1. If you haven't already, download the example notebook from the following link: Concise Tutorial

    Detailed Tutorial

  1. Open the notebook in Google Colab by clicking on the link above.

  2. The notebook will then guide you through the process of using lexi to analyze data from LEXI.

  3. If you want to run the notebook on your local machine, you can download the notebook from the link above and run it in a Jupyter Notebook environment.

  4. If you encounter any issues, please report them to us by creating an issue on our GitHub repository here.

Citation

If you use lexi in your research, please cite the following paper:

    @Software{Qudsi2025,
        author    = {Qudsi, Ramiz and Chitty, Zoe and Connor, Cadin and Walsh, Brian},
        title     = {Lexi-BU/lexi: v0.4.0},
        doi       = {10.5281/zenodo.14606885},
        url       = {https://doi.org/10.5281/zenodo.14606885},
        version   = {v0.4.0},
        month     = jan,
        publisher = {Zenodo},
        path=Lexi-BU-lexi-e01a2a4 },
        year      = {2025},
    }

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lexi_xray-0.5.0.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lexi_xray-0.5.0-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file lexi_xray-0.5.0.tar.gz.

File metadata

  • Download URL: lexi_xray-0.5.0.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.6 importlib-metadata/7.0.1 keyring/24.3.0 pkginfo/1.9.6 readme-renderer/34.0 requests-toolbelt/0.10.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.18 CPython/3.10.12

File hashes

Hashes for lexi_xray-0.5.0.tar.gz
Algorithm Hash digest
SHA256 e06910c85e66dcc3488454c29c3fae9ad5ba819cd1c5131ae20b3f69e22c9fd3
MD5 58df0ff1a7cf2d474d3e1ca2a620b272
BLAKE2b-256 9ee4c68ecaf202ecf6f49756ee3ea06aca51ccdc1d98a1598150ec37824ee430

See more details on using hashes here.

File details

Details for the file lexi_xray-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: lexi_xray-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 colorama/0.4.6 importlib-metadata/7.0.1 keyring/24.3.0 pkginfo/1.9.6 readme-renderer/34.0 requests-toolbelt/0.10.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.57.0 urllib3/1.26.18 CPython/3.10.12

File hashes

Hashes for lexi_xray-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3ad59ee882eee451fe9151866a655d4637ffe87fca97550b20ee2c9f053bedbb
MD5 75af614e43bdd45a9c3d7dcf6c9e14eb
BLAKE2b-256 8c93550105c1d8df9cc8ca24f8ea09f7fac74b859ac49aaa943fed96a5634297

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page