Wrapper for Great Expectations to fit the requirements of the Gemeente Amsterdam.
Project description
Introduction
DISCLAIMER: Repo is in PoC phase DISCLAIMER: The functions can run on Databricks using a Personal Compute Cluster
This repository contains functions that will ease the use of Great Expectations. Users can input data and data quality rules and get rules in return.
Getting Started
Prerequisites:
Run the following code in your workspace:
pip install great_expectations
When working in Databricks you can clone this repo to Databricks Repos. Then you can access it in your workspace using:
import sys sys.path.append("/Workspace/Repos/{user}/{repo_name}") from {file} import {function}
Parameter examples: user: j.cruijff@amsterdam.nl repo_name: dq_repo file: df_checker function: df_check
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file dq-suite-amsterdam-0.0.5.tar.gz.
File metadata
- Download URL: dq-suite-amsterdam-0.0.5.tar.gz
- Upload date:
- Size: 2.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2102bf0c784832a6b06044f656583f41f51469e0fcb13e912297dae4993c44d0 |
|
| MD5 | 85f5593c83687c45f5b3f2cbb33000cb |
|
| BLAKE2b-256 | 3121e2ec8e9fe5f95f219d5af0f65910f4cdca0e691951e5068f6fd81373d455 |
File details
Details for the file dq_suite_amsterdam-0.0.5-py3-none-any.whl.
File metadata
- Download URL: dq_suite_amsterdam-0.0.5-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f186e42e546303b423a391217a119a5bf922965e097ad266d09badafe2088b8b |
|
| MD5 | 1250a83ee4434dda7faed0230757e1b1 |
|
| BLAKE2b-256 | 87c62fdc46c8ce17d68222780b398a21eec4eef72d060cca2681ed9eee6862c0 |
