Group: Nathan Smith, Mitch Harris, Ryan Koenig
The quickscreen package provides simple tools for quickly reviewing a dataframe. The package includes three subpackages: one for plotting data, another for providing a simple summary statistics, and another which does simple manipulations and linear correlation. The package is basically a wrapper for various matplotlib and pandas functionality.
The following documentation is also provided:
- description.md provides an overview of the package including its subpackages and module classes and functions
- example.ipynb provides a demo file of the package usage
- the demo file uses data availble in the CarPrice.csv file
Refer to test_coverage_report.png for the test coverage report.
PyPI link:
https://pypi.org/project/quickscreen/
Install with:
pip install quickscreen
Accessing the package example:
from quickscreen.plot.plotter import Plotter
p = Plotter(None)