Metadata-Version: 2.1
Name: dshelper
Version: 0.2.0
Summary: dshelper: A GUI tool to display pandas dataframe and draw plots in a few clicks
Home-page: https://github.com/zmcddn/Data-Science-Helper
Author: Minchang (Carson) Zhang
Author-email: minchang@ualberta.ca
Maintainer: Minchang (Carson) Zhang
Maintainer-email: minchang@ualberta.ca
License: MIT
Download-URL: https://github.com/zmcddn/Data-Science-Helper
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: End Users/Desktop
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Environment :: Console
Classifier: Environment :: MacOS X
Classifier: Environment :: Win32 (MS Windows)
Classifier: Operating System :: Microsoft :: Windows :: Windows 10
Classifier: Operating System :: POSIX :: Linux
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: User Interfaces
Classifier: Topic :: Multimedia :: Graphics
Classifier: Operating System :: OS Independent
Classifier: Framework :: Matplotlib
Requires-Python: >=3.6
Requires-Dist: wxpython (>=4.0)
Requires-Dist: matplotlib (>=3.3.0)
Requires-Dist: numpy (>=1.19.0)
Requires-Dist: pandas (>=1.1.0)
Requires-Dist: scikit-learn (>=0.23.0)
Requires-Dist: seaborn (>=0.11.0)
Provides-Extra: all
Requires-Dist: statsmodels (>=0.12.0) ; extra == 'all'
Requires-Dist: Pypubsub (>=4.0) ; extra == 'all'
Requires-Dist: scipy (>=1.5.0) ; extra == 'all'

dshelper is a visualization tool designed to help data scientists better examine their data sets.
It utilizes `wxpython <https://www.wxpython.org/>`_ and is closely integrated with `pandas <https://pandas.pydata.org/>`_ data structures and `matplotlib <https://matplotlib.org/>`_ for plotting.
Here are some of the functionalities that dshelper offers:
- A view with raw data and its statistics
- Drag on the header to re-arrange columns
- Left click on the right panel to show/hide columns
- Plots in a few clicks: histogram, heatmap, correlation, scatter, box, violin, pair
- Bottom right buttons to hide panels and focus on data set
- Easy to use in command line, jupyter notebook and docker


