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 repository
transformers
module
columns_base
: scikit-learn compatible classes which transformpandas.DataFrame
's along the columns axis.rows_base
: scikit-learn compatible classes which transformpandas.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 fromconfig
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
criteria-etl-0.2a1.tar.gz
(10.6 kB
view hashes)
Built Distribution
Close
Hashes for criteria_etl-0.2a1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 665f7de803e0efc55f34ef94a3618841777db4841d4b81edf5381177f15c17c1 |
|
MD5 | 2ff6c05906919791f060de14b580d53a |
|
BLAKE2b-256 | 254d4149bd93c740e1fbb06cd60c99456f2044276fc846cf8cc49955753ff1a9 |