XamPy 0.1.0

A Data Science Package written in python.

XamPy

Links

• Code of Conduct
• Contributing
• Issues
• License

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

Dillinger 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

Installation

pip install xampy
or
pip3 install xampy

Example Use cases

reading in data from file path

from xampy import xampy as xp
path = C:\Users\User\Documents\Data\data.csv

# using makeData() to read in data
data = xp.makeData(path)

# quick statistics and summary of the data at hand
xp.showInfo(data)

# removing white space from column names and insert an underscore
data = xp.renameCols(data,'','_')

# splitting the data into numerical and nonnumerical sections

numerical,categorical = xp.dataTypeSplit(data)


# Counting nulls in the dataframe, prints the number of missing vals in the DF
xp.CountMissing(data)

# example column money (float) has missing values
data = xp.meanFill(data,'money')

# example column Gender (Binary or text) has missing values
data = xp.modeFill(data,'Gender')

if we want to seperate the data into genders eq=equal gte=greater than equal to lte=less than equal to lt = less than gt = greater than

FOR STRINGS WE USE 'eq', for any numerical data we can use any comparrison #operator

males = xp.SubSetDf(data,'Gender','Male','eq')
females = xp.SubSetDf(data,'Gender','Female','eq')

License

MIT

Free Software, Hell Yeah!