sailfish
Sailfish provides data engineering and management utilities to apply common optimizations to Pandas Dataframes.
Sailfish primarily works by identifying the optimal data type for each column. For example, for integer-only columns, it may be possible to have a datatype of int32 versus int64 which can save roughly have the memory. On big datasets, these types of optmizations can provide tremendous savings.
This project replaces the pd-helper project as of pd-helper 1.0.1; sailfish is basically pd-helper 2.0.0.
Install
pip install sailfish
Metadata
Release files for sailfish 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sailfish-0.0.1.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sailfish-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.3 kB
Release files / sailfish-0.0.1.tar.gz
| Download URL | sailfish-0.0.1.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.12
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Release files / sailfish-0.0.1-py3-none-any.whl
| Download URL | sailfish-0.0.1-py3-none-any.whl |
|---|---|
| Size | 7.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
cb5157bf764e54bcebfdfb0c21f78a2dded4395ad15c6529fd869663b6152733
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.12
|