Important dataframe statistics with a single command

Overview

quick_eda

Receiving dataframe statistics with one command


GitHub code size in bytes GitHub top language GitHub PyPI PyPI - Status


Project description

A python package for Data Scientists, Students, ML Engineers and anyone who wants dataframe meta data without the trouble of having to type in numerous commands.

Installation

Use pip to install quick-eda by typing or copying the following command.

pip install quick-eda

License

This package is licensed under BSD Clause 3.

Example usage

Users of the package can import the individual modules from this package, for example:

import quick_eda.df_eda
import quick_eda.column_eda

This loads the submodules quick_eda.df_eda and quick_eda.column_eda. They must be referenced with their full name.

quick_eda.df_eda.df_eda(<df>)
quick_eda.column_eda.column_eda(<column_name>)

An alternative way of importing the submodules is:

from quick_eda import df_eda
from quick_eda import column_eda

This also loads the submodules quick_eda.df_eda and quick_eda.column_eda, and makes them available without their prefix, so they can be used as follows:

df_eda.df_eda(<df>)
column_eda.column_eda(<column_name>)

Yet another variation is to import the desired functions directly:

from quick_eda.df_eda import df_eda
from quick_eda.column_eda import column_eda

Again, this loads the submodules, but makes them directly available:

df_eda(<df>)
column_eda(<column_name>)

Imagine you have a dataframe called pets with the columns name, age and color. You could then run statistics on both the entire dataframe or e.g. the column age with

df_eda(pets)
column_eda(pets, "age")

Source code & further information

The source code is maintained at https://github.com/sveneschlbeck/quick_eda
There are also further information concerning the BSD license model, contributing guidelines and more...

Owner
Sven Eschlbeck
"The more I C, the less I see."
Sven Eschlbeck
Conduits - A Declarative Pipelining Tool For Pandas

Conduits - A Declarative Pipelining Tool For Pandas Traditional tools for declaring pipelines in Python suck. They are mostly imperative, and can some

Kale Miller 7 Nov 21, 2021
Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown.

Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown

915 Dec 26, 2022
Nobel Data Analysis

Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries

Mohammed Hassan El Sayed 1 Jan 24, 2022
Cleaning and analysing aggregated UK political polling data.

Analysing aggregated UK polling data The tweet collection & storage pipeline used in email-service is used to also collect tweets from @britainelects.

Ajay Pethani 0 Dec 22, 2021
Data collection, enhancement, and metrics calculation.

l3_data_collection Data collection, enhancement, and metrics calculation. Summary Repository containing code for QuantDAO's JDT data collection task.

Ruiwyn 3 Dec 23, 2022
Monitor the stability of a pandas or spark dataframe ⚙︎

Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.

ING Bank 403 Dec 07, 2022
The lastest all in one bombing tool coded in python uses tbomb api

BaapG-Attack is a python3 based script which is officially made for linux based distro . It is inbuit mass bomber with sms, mail, calls and many more bombing

59 Dec 25, 2022
Kennedy Institute of Rheumatology University of Oxford Project November 2019

TradingBot6M Kennedy Institute of Rheumatology University of Oxford Project November 2019 Run Change api.txt to binance api key: https://www.binance.c

Kannan SAR 2 Nov 16, 2021
WAL enables programmable waveform analysis.

This repro introcudes the Waveform Analysis Language (WAL). The initial paper on WAL will appear at ASPDAC'22 and can be downloaded here: https://www.

Institute for Complex Systems (ICS), Johannes Kepler University Linz 40 Dec 13, 2022
Full automated data pipeline using docker images

Create postgres tables from CSV files This first section is only relate to creating tables from CSV files using postgres container alone. Just one of

1 Nov 21, 2021
X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana

Nguyễn Quang Huy 5 Sep 28, 2022
Retentioneering 581 Jan 07, 2023
A model checker for verifying properties in epistemic models

Epistemic Model Checker This is a model checker for verifying properties in epistemic models. The goal of the model checker is to check for Pluralisti

Thomas Träff 2 Dec 22, 2021
A library to create multi-page Streamlit applications with ease.

A library to create multi-page Streamlit applications with ease.

Jackson Storm 107 Jan 04, 2023
INFO-H515 - Big Data Scalable Analytics

INFO-H515 - Big Data Scalable Analytics Jacopo De Stefani, Giovanni Buroni, Théo Verhelst and Gianluca Bontempi - Machine Learning Group Exercise clas

Yann-Aël Le Borgne 58 Dec 11, 2022
BasstatPL is a package for performing different tabulations and calculations for descriptive statistics.

BasstatPL is a package for performing different tabulations and calculations for descriptive statistics. It provides: Frequency table constr

Angel Chavez 1 Oct 31, 2021
DataPrep — The easiest way to prepare data in Python

DataPrep — The easiest way to prepare data in Python

SFU Database Group 1.5k Dec 27, 2022
ETL pipeline on movie data using Python and postgreSQL

Movies-ETL ETL pipeline on movie data using Python and postgreSQL Overview This project consisted on a automated Extraction, Transformation and Load p

Juan Nicolas Serrano 0 Jul 07, 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated

37 Dec 15, 2022
Powerful, efficient particle trajectory analysis in scientific Python.

freud Overview The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics

Glotzer Group 195 Dec 20, 2022