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conda-forge.org : static-frame : 0.8.7

Among the many Python DataFrame libraries, StaticFrame is an alternative that prioritizes correctness, maintainability, and reducing opportunities for error. Key features include: * 🛡️ Immutable Data: Provides memory efficiency, excellent performance, and prohibits side effects. * 🗜️ Static Typing: Use Python type-hints to statically type index, columns, and columnar types. * 🚦 Runtime Validation: Use type hints and specialized validators for runtime type and data checks. * 🧭 Consistent Interface: An easy-to-learn, hierarchical, and intuitive API that avoids the many inconsistencies of Pandas. * 🧬 Comprehensive ``dtype`` Support: Full compatibility with all NumPy dtypes and datetime64 units. * 🔗 Broad Interoperability: Translate between Pandas, Arrow, Parquet, CSV, TSV, JSON, MessagePack, Excel XLSX, SQLite, HDF5, and NumPy; output to xarray, VisiData, HTML, RST, Markdown, LaTeX, and Jupyter notebooks. * 🚀 Optimized Serialization & Memory Mapping: Fast disk I/O with custom NPZ and NPY encodings. * 💼 Multi-Table Containers: The ``Bus`` and ``Yarn`` provide interfaces to collections of tables with lazy data loading, well-suited for large datasets. * ⏳ Deferred Processing: The ``Batch`` provides a common interface for deferred processing of groups, windows, or any iterator. * 🪶 Lean Dependencies: Core functionality relies only on NumPy and team-maintained C-extensions. * 📚 Comprehensive Documentation: All API endpoints documented with thousands of easily runnable examples.

Registry - Download - JSON
purl: pkg:conda/[email protected]
Published: about 3 years ago
Indexed: over 1 year ago
Related tag: v0.8.7 - compare