Ezplot: Python Data Visualization Library

A lightweight Python package designed to streamline the creation of common visualizations with customizable and user-friendly functions.

Project Overview

Ezplot is a Python package developed to help data scientists and analysts rapidly generate commonly used plots like line charts, histograms, scatter plots, and heatmaps. It simplifies data exploration by minimizing the amount of code needed to produce effective visualizations.

Library Design

Built core functions to generate customizable plots quickly using matplotlib and seaborn backends.

Team Collaboration

Worked in a team of four using Git and GitHub to manage issues, pull requests, and releases.

Documentation

Maintained professional documentation with ReadTheDocs for reproducibility and ease of adoption.

Technical Implementation

Developed reusable Python functions for line, scatter, histogram, and heatmap plots.
Used object-oriented programming principles for consistent API design.
Implemented unit tests to ensure code quality and maintainability.
Configured continuous integration and code coverage with GitHub Actions and Codecov.

Tooling and Status

Languages: Python (3.8+)
Documentation: ReadTheDocs Link
CI/CD: Automated tests and deployment using GitHub Actions
Version Control: Git and GitHub for collaboration

Project Results

100%

Test Coverage

Contributors

CI/CD

Fully Integrated

Key Achievements

The Ezplot library was successfully released with full test coverage, complete documentation, and smooth CI/CD deployment. It is designed for scalability and has a clean, intuitive interface for rapid visualization development.

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