Functions for Dataframe Vital Stats, Outliers Detection, Sectional Data View from Mid, Mid Q1, Mid Q3 of a Dataframe
Project description
v =========== * =========== * =========== * =========== * =========== * =========== v
Project : Aalmond! Contents: This file contains three (3) Function Definitions that provides Primary EDA (Exploratory Data Analysis) functionality: Function: Dataframe Vital Stats, Outliers Detection, Data View from various sections of a DataFrame.
vitalStats() : Displays Pandas DataFrame Vital Stats, an exended output of seeded describe()
showdfQ() : Displays data rows of a Pandas DataFrame selectively from Mid, Mid Q1, Mid Q3 section of a Dataframe
showOutL() : Displays and/or Imputes Outlier values, based on IQR Method, of Pandas DataFrame Numeric Column(s)
Usage, Parameter & General Notes documented inside each function as Docstring.
^ =========== * =========== * =========== * =========== * =========== * =========== ^
0.1.0 2000 Jul.23.Thu: Aalmond! Package : Initial Release 0.1.0 2000 Jul.23.Thu: vitalStats() Function : Initial Release 0.1.0 2000 Jul.23.Thu: showdfQ() Function : Initial Release 0.1.0 2000 Jul.23.Thu: showOutL() Function : Initial Release ==============================================
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.
