Metadata-Version: 2.4
Name: datamanagement
Version: 0.1.0
Summary: A flexible data container with query capabilities
Home-page: https://github.com/yourusername/datamanagement
Author: Your Name
Author-email: your.email@example.com
Project-URL: Bug Reports, https://github.com/yourusername/datamanagement/issues
Project-URL: Source, https://github.com/yourusername/datamanagement
Project-URL: Documentation, https://datamanagement.readthedocs.io/
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Database
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.19.0
Requires-Dist: pandas>=1.2.0
Requires-Dist: matplotlib>=3.3.0
Requires-Dist: requests>=2.25.0
Requires-Dist: beautifulsoup4>=4.9.0
Provides-Extra: dev
Requires-Dist: pytest>=6.0; extra == "dev"
Requires-Dist: pytest-cov>=2.0; extra == "dev"
Requires-Dist: black>=22.0; extra == "dev"
Requires-Dist: flake8>=4.0; extra == "dev"
Requires-Dist: mypy>=0.9; extra == "dev"
Requires-Dist: sphinx>=4.0; extra == "dev"
Requires-Dist: sphinx-rtd-theme>=1.0; extra == "dev"
Provides-Extra: plot
Requires-Dist: matplotlib>=3.0; extra == "plot"
Requires-Dist: seaborn>=0.11; extra == "plot"
Provides-Extra: ml
Requires-Dist: scikit-learn>=1.0; extra == "ml"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
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Dynamic: home-page
Dynamic: license-file
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# DataManagement
DataManagement - A flexible data container with query capabilities.  

This pure-python package provides DataPoint and DataSerials classes for managing collections of data with powerful filtering, aggregation, and serialization.

## Features

- **Dynamic DataPoints**: Create objects with arbitrary attributes
- **Powerful Filtering**: Django-like query syntax (`age__gte=18`, `name__contains='John'`)
- **Aggregation**: Group by and aggregate data like SQL
- **Multiple Serialization**: XML, JSON, Pickle, Pandas DataFrame
- **Method Chaining**: Build complex queries elegantly
- **Rich Statistics**: Built-in summary, describe, and info methods
- **HTML Reports**: Generate beautiful interactive reports

## Installation

```bash
pip install datamanagement
```

## Quick Start
```python
from datamanagement import DataPoint, DataSerials

# Create data points
ds = DataSerials()
ds.append(DataPoint(id='1', name='Alice', age=25, score=85.5))
ds.append(DataPoint(id='2', name='Bob', age=30, score=92.0))

# Filter data
adults = ds.filter(age__gte=18, score__gte=80)

# Group and aggregate
stats = ds.group_by('age_group', 
                    avg_score=('score', 'mean'),
                    count=('id', 'count'))

# Generate report
ds.to_html_report('report.html')
```

## Documentation
Full documentation available at [Document.md](https://github.com/CoderPower-Schenek/DataManagement/blob/main/Document.md).

## License
MIT License - see [LICENSE](https://github.com/CoderPower-Schenek/DataManagement/blob/main/LICENSE) file for details.

