A lightweight Python tabular data structure.
Collects parallel numpy arrays into a tabular data structure. Provides syntactic sugar for column- and row-wise access, and basic grouping and aggregation. Avoids copies and type conversions; does not mess around with the underlying numpy arrays. Much less functionality than Pandas, with many fewer lines of code.
Metadata
Release files for ntab 0.3.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ntab-0.3.2.tar.gz | 18.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ntab-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.3 kB
Release files / ntab-0.3.2.tar.gz
| Download URL | ntab-0.3.2.tar.gz |
|---|---|
| Size | 18.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / ntab-0.3.2-py3-none-any.whl
| Download URL | ntab-0.3.2-py3-none-any.whl |
|---|---|
| Size | 22.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
078a4e024974cdc2122364151519dad264354b72b803ad344cb631b258ef6ad7
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BLAKE2b-256 checksum How to use checksums |
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No |
Security for ntab 0.3.2
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