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.
1 maintainer
Metadata
1 maintainer
Release files for parq-tools 0.5.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| parq_tools-0.5.3.tar.gz | 40.1 kB | With provenance | Details for parq_tools-0.5.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| parq_tools-0.5.3-py3-none-any.whl | Python 3 | none | any | Details for parq_tools-0.5.3-py3-none-any.whl |
Total release size: 89.0 kB
Release files / parq_tools-0.5.3.tar.gz
| Download URL | parq_tools-0.5.3.tar.gz |
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| Size | 40.1 kB |
| Tags | Source |
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| Size | 48.9 kB |
| Tags | Python 3 |
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