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A Data Science Package written in python.

Project description

XamPy

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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

Installation

pip install xampy
or
pip3 install xampy

Example Use cases

Reading in data from file path

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')

  • 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')

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.

License

MIT

Free Software, Hell Yeah!

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