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A package containing the necessary functions to smoothly run the analysis in DSCI-310-Group-1

Project description

grouponefunctions

A package containing the necessary functions to smoothly run the analysis in DSCI-310-Group-1

Installation

$ pip install grouponefunctions

Usage

grouponefunctions is primarily used for analysis of (Predicting students’ grades using multi-variable regression)[https://github.com/DSCI-310/DSCI-310-Group-1], but contains three general use functions.

The first function split_xy can be used to split data into predictors and target variables as follows:

from grouponefunctions import grouponefunctions

X_train, y_train = grouponefunctions.split_xy(train_df, predictors, target)
X_test, y_test = grouponefunctions.split_xy(test_df, predictors, target) 

The second function plot_square_data can be used to create plots to display in a square manner.

The third function list_abs can be used to create a list for the result of our notebook.

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

grouponefunctions was created by Andres Zepeda Perez, Daniel Hou, Zizhen Guo, Timothy Zhou. It is licensed under the terms of the MIT license.

Credits

grouponefunctions was created with cookiecutter and the py-pkgs-cookiecutter template.

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