DataForge Check
High-performance data validation for Python.
Installation
pip install dataforge-check
Usage
from dataforge_check import validate
import pandas as pd
df = pd.DataFrame({"age": [25, 30, -5, 150]})
rules = [
{"column": "age", "rule": "between", "min": 0, "max": 120}
]
result = validate(df, rules)
print(result["all_passed"]) # False
1 maintainer
Metadata
1 maintainer
Release files for dataforge-check 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataforge_check-0.1.0-cp39-cp39-macosx_11_0_arm64.whl | CPython 3.9 | CPython 3.9 | macOS 11.0+ ARM64 | Details |
Release files / dataforge_check-0.1.0-cp39-cp39-macosx_11_0_arm64.whl
| Download URL | dataforge_check-0.1.0-cp39-cp39-macosx_11_0_arm64.whl |
|---|---|
| Size | 660.9 kB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
|
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