mango-calendar 0.1.0a1

Library with a collection of usefull classes and methods to DRY

Mango Calendar 🥭📅

A Python library for working with calendar data, holidays, and date-related features with a focus on Spanish holidays and autonomous communities.

Features ✨

• 🇪🇸 Spanish Holiday Support: Comprehensive support for Spanish national and autonomous community holidays
• 🌍 Multi-Country Support: Built on the holidays library for international calendar support
• 📊 Flexible Data Formats: Support for both pandas and polars DataFrames
• 🏋️ Weighted Communities: Assign weights to different autonomous communities
• 📏 Distance Calculations: Calculate distances to holidays for time-series analysis
• 🛍️ Calendar Events: Support for commercial events like Black Friday
• 🦠 COVID Lockdown Data: Built-in COVID-19 lockdown period data
• 🔄 Pivot Functionality: Transform calendar data into pivot tables
• 🏗️ Type Hints: Full type annotation support for better IDE integration

Installation 📦

# Using pip
pip install mango-calendar

# Using uv (recommended)
uv add mango-calendar

Quick Start 🚀

from mango_calendar import get_calendar

# Get Spanish holidays for 2024
holidays_df = get_calendar(country="ES", start_year=2024, end_year=2025)
print(holidays_df.head())

Usage Examples 📚

Basic Holiday Calendar

from mango_calendar import get_calendar

# Get basic Spanish holidays
holidays = get_calendar(
    country="ES",
    start_year=2024,
    end_year=2025
)
print(holidays[['date', 'name']].head())

Advanced Features

# Get holidays with autonomous communities and weights
holidays_with_communities = get_calendar(
    country="ES",
    start_year=2024,
    end_year=2025,
    communities=True,
    return_weights=True,
    calendar_events=True  # Include Black Friday
)

# Calculate distances to holidays
holidays_with_distances = get_calendar(
    country="ES",
    start_year=2024,
    end_year=2025,
    communities=True,
    return_distances=True,
    distances_config={
        "steps_back": 7,
        "steps_forward": 7
    }
)

Date Utilities

from mango_calendar.date_utils import get_holidays_df, get_covid_lockdowns

# Get holidays in a specific format with window bounds
holidays_polars = get_holidays_df(
    steps_back=3,
    steps_forward=7,
    start_year=2024,
    country="ES",
    output_format="polars"
)

# Get COVID lockdown periods
covid_data = get_covid_lockdowns()

Pivot Calendar Data

# Create a pivot table of holidays
pivot_calendar = get_calendar(
    country="ES",
    start_year=2024,
    end_year=2025,
    communities=True,
    return_weights=True,
    pivot=True,
    pivot_keep_communities=True
)

API Reference 📖

get_calendar()

Main function to retrieve calendar data.

Parameters:

• country (str): Country code (default: "ES")
• start_year (int): Start year for the calendar (default: 2010)
• end_year (int): End year for the calendar (default: current year + 2)
• communities (bool): Include autonomous community holidays (default: False)
• weight_communities (dict): Custom weights for communities
• calendar_events (bool): Include events like Black Friday (default: False)
• return_weights (bool): Return community weights (default: None)
• return_distances (bool): Return distance calculations (default: False)
• distances_config (dict): Configuration for distance calculations
• name_transformations (bool): Apply name transformations (default: True)
• pivot (bool): Return data in pivot format (default: False)
• pivot_keep_communities (bool): Keep communities when pivoting (default: False)

Returns:

• pd.DataFrame: Calendar data with requested features

get_holidays_df()

Get holidays dataframe with window bounds.

Parameters:

• steps_back (int): Days to go back from holiday
• steps_forward (int): Days to go forward from holiday
• start_year (int): Start year (default: 2014)
• country (str): Country code (default: "ES")
• output_format (str): "polars" or "pandas" (default: "polars")

Development Setup 🔧

Prerequisites

• Python 3.12+
• uv (recommended) or pip

Setup

# Clone the repository
git clone <repository-url>
cd mango_calendar

# Install dependencies
uv sync

# Run tests
python run_tests.py

Project Structure

mango_calendar/
├── src/
│   └── mango_calendar/
│       ├── __init__.py
│       ├── calendar_features.py
│       └── date_utils.py
├── tests/
│   ├── test_calendar_features.py
│   ├── test_date_utils.py
│   └── test_init.py
├── pyproject.toml
└── README.md

Dependencies

• holidays>=0.76: Holiday data
• numpy>=2.3.1: Numerical operations
• pandas>=2.3.1: Data manipulation
• polars>=1.31.0: Fast DataFrame operations
• pyarrow>=20.0.0: Columnar data format
• pycountry>=24.6.1: Country information
• unidecode>=1.4.0: Unicode text processing

Code Quality 🎯

This project uses:

• Ruff: For linting and code formatting
• Type hints: Full type annotation support
• pytest: For testing
• PEP 8: Code style compliance
• Docstring conventions: PEP 257 compliance

Contributing 🤝

1. Fork the repository
2. Create a feature branch (git checkout -b feature/awesome-feature)
3. Commit your changes (git commit -m 'Add awesome feature')
4. Push to the branch (git push origin feature/awesome-feature)
5. Open a Pull Request

Development Guidelines

• Follow PEP 8 style guidelines
• Add type hints to all functions
• Write comprehensive docstrings
• Include tests for new features
• Run uv run coverage run -m unittest discover -s tests -p "test_*.py" -v before submitting

License 📄

This project is developed by baobab soluciones ([e-mail]).

Support 💬

For questions, issues, or contributions, please contact:

• Email: [e-mail]
• Create an issue on the repository

---

Made with ❤️ by baobab soluciones