parq-tools
Overview
parq-tools is a collection of utilities for efficiently working with large-scale Parquet datasets.
A typical use case is asset-based workflows with large scientific datasets.
:::note
If your datasets are not large, you might find the pandas library more convenient.
:::
Features
- Filtering → Efficiently filter large parquet files.
- Concatenation → Combines multiple Parquet files efficiently along rows (
axis=0) or columns (axis=1). - Tokenized Filtering → Converts pandas-style expressions into efficient PyArrow queries.
- Profiling Enhancements → Improves
fg-data-profilingby profiling specific columns incrementally, merging results for large files. - Comparison Workflows → Supports strict value-level parquet comparison (
parq_compare) and profile-statistics comparison/reporting (parq_profile). - DataFrame Enhancements → Provides a
LazyParquetDataFrameclass that extendspandas.DataFramewith lazy loading from Parquet files.
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