Skip to main content

A package for advanced level variabe ananlysis and reduction for pandas dataframe

Project description

#advanced_analysis_package

This is a python package to perform analysis , outlier treatment and variable reduction on pandas dataframe. List of functions include:-

analyze - a. edd - replica of sas edd maco with new features of coelation and p values when dependent variable is given.return a pandas dataframe. b. graphical_analysis - gives bivariate ananlysis of variable with respect to dependent variable. Display and saves plots and tables at equied path. c. numerical_categorical_division - return list of numeric and categoical variables in pandas dataframe variable_treatment a. exponential_smoothning - outlier treatment for variable b.capping_and_flooring - outlier teatment for variable c.make_dummies - create dummies for categorical variable(one hot encoding) d.make_dummies_binary - create binary dummies for variable variable_reduction a. inter_correlation_clusters - return clusters of variables based on cutoff correlation b. varclus - return list of columns 1 from each cluster c. vif_reduction - return list of columns to be dropped by vif_eduction method d. backward_selection - returns list of columns to be dropped by backwad selection

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

advanced_analysis_package-0.0.2.tar.gz (1.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

advanced_analysis_package-0.0.2-py3-none-any.whl (2.7 kB view details)

Uploaded Python 3

File details

Details for the file advanced_analysis_package-0.0.2.tar.gz.

File metadata

  • Download URL: advanced_analysis_package-0.0.2.tar.gz
  • Upload date:
  • Size: 1.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.1

File hashes

Hashes for advanced_analysis_package-0.0.2.tar.gz
Algorithm Hash digest
SHA256 36385a2e20a2390054a13ab9a817a38fd9413c834b1b3316726f44848d22fb20
MD5 f23183eb56734e3beaad6aec4fcc1f0f
BLAKE2b-256 4e673686fcb938cd3d2e1803fc3a7fa0d6d54fd7fcd7868062103013abf23aa8

See more details on using hashes here.

File details

Details for the file advanced_analysis_package-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: advanced_analysis_package-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 2.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.1

File hashes

Hashes for advanced_analysis_package-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b1b3662b52542334d6b38225b97714df613dd5f05fb047bfda0302c51c70a08a
MD5 d85a94084c648233fa88b370d54b724b
BLAKE2b-256 6a3208216bd4949250364e19a61122381af74ad2f58bc4be3fd5890d4610213c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page