datamanagement 0.1.1

A flexible data container with query capabilities

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

pip install datamanagement

Quick Start

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.

License

MIT License - see LICENSE file for details.