renewenergy 0.1.0

A great package to run aanalysis to help predict the renewable energy output of a country.

renewenergy

A great package to run aanalysis to help predict the renewable energy output of a country.

Installation

$ pip install renewenergy

Usage

from renewenergy.clean_data import clean_data
from renewenergy.eda import create_scatter_plots
from renewenergy.functionread import reading_datain
from renewenergy.impute_split import impute_split
from renewenergy.linear_regression import split_xy_columns, plot_rmse


url= "https://github.com/DSCI-310-2024/renewenergy/raw/makingdocumentation/tests/docs_data.zip"

trial1= reading_datain(url, "testing_data.csv", "data", "imported.csv")

cleaned= clean_data("data/imported.csv", "data", "energy_test.csv", "energy_train.csv",12)

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

renewenergy was created by Neha Menon, Caden Chan, Peter Chen, Tak Sripratak. It is licensed under the terms of the MIT license.

Credits

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