XamPy 0.1.4.1

A Data Science Package written in python.

XamPy

Links

• Code of Conduct
• Contributing
• Issues
• License
• Current Functions

Information

XamPy is a Data Science Package written in Python.

Features

• Simplifying the process of analyzing data
• User-Friendly command based sripting package

Packages Used

XamPy uses a number of open source projects to work properly:

• Pandas - Data manipulation tool for python
• Numpy - awesome tool for matrix/array mathmatics
• MatPlotLib - tool for graphing in python
• vaderSenitment - tool for senitment anaylsis of social media
• nltk - natural language processing and text mining
• textblob - sentiment analysis on a larger size of text
• datetime for date manipulation

Installation

pip install xampy
or
pip3 install xampy

Contributors and Contributions

IF YOU ARE A CONTRIBUTOR AND ARE NOT LISTED PLEASE EMAIL Max Paul or submit a new issue.

• Max Paul
  • Lead Contributor/Founder
  • Bachelor Of Science In Data Science from Bryant Unversity.
  • Software engineer by day for TJX.

Example Use

RECOMMENDED USE WITH A VIRTUAL ENV

pip install virtualenv

python -m virtualenv venv

venv\Scripts\activate

pip install xampy

import xampy as xp

# reading data and showing information
data = xp.makeData('topcsv.csv')
xp.showInfo(data)

# dropping all the rows that contain nulls get dropped
data = xp.dropnaDim(data,'row')

#counting missing data to show all values have been dropped
xp.countMissing(data)

#conducting sentiment analysis on the text data
data = xp.socialSentiment(data,'Content')

#showing the new dataframe
data.head(10)

License

MIT

Free Software, Hell Yeah!