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A library for Criteria related data wrangling.

Project description

Criteria-ETL

This repository contains general tools for Extracting, Transforming and Loading data in Criteria projects.

Structure of the package

transformers module

  • columns_base: scikit-learn compatible classes which transform pandas.DataFrame's along the columns axis.
  • rows_base: scikit-learn compatible classes which transform pandas.DataFrame's along the rows axis.

utils module

  • common_func: miscellaneous functions which might be useful in any project.
  • config: placeholder for setting-up global variables of the project, used for loading data.
  • dataload: functions used for loading data. It imports global variables from config sub-module.
  • display: functions used for displaying tables and plotting.
  • expansion_func: functions designed for handling statistical sources which present an expansion factor.

impute module

  • model_based: scikit-learn compatible classes for imputing observations based on predictive models.

Project details


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