Metadata-Version: 2.1
Name: PySparkAuditTest
Version: 1.0.0
Summary: PySpark Data Audit library
Home-page: https://github.com/runawayhorse001/PySparkAudit.git
Author: Wenqiang Feng and Ximing Xu
Author-email: von198@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Framework :: IPython
Classifier: Framework :: Jupyter
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Operating System :: MacOS
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: xlsxwriter
Requires-Dist: matplotlib
Requires-Dist: seaborn

# PySparkAudit: PySpark Data Audit 

This is our PySpark Data Audit library repositories.
The ``API`` can be found at: https://runawayhorse001.github.io/PySparkAudit. 
If you want to install it, you can

### Install from PyPI

You can install the PySparkAudit from [PyPI](https://pypi.org/project/PySparkAudit):

    pip install PySparkAudit

### Install from Repo 

Or you can istall the PySparkAudit from the repo:

#### 1. clone

	git clone https://github.com/runawayhorse001/PySparkAudit.git

#### 2. install 

	cd PySparkAudit
	pip install -r requirements.txt 
	python setup.py install

#### 3. test 

	cd PySparkAudit/test
	spark-submit test.py

#### 4. uninstall 

	pip uninstall PySparkAudit


