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
Time ranges with python

timeranges Time ranges. Read the Docs Installation pip timeranges is available on pip: pip install timeranges GitHub You can also install the latest v

Micael Jarniac 2 Sep 01, 2022
A CLI tool to reduce the friction between data scientists by reducing git conflicts removing notebook metadata and gracefully resolving git conflicts.

databooks is a package for reducing the friction data scientists while using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and assisting in the resolution of

dataroots 86 Dec 25, 2022
Python data processing, analysis, visualization, and data operations

Python This is a Python data processing, analysis, visualization and data operations of the source code warehouse, book ISBN: 9787115527592 Descriptio

FangWei 1 Jan 16, 2022
Datashader is a data rasterization pipeline for automating the process of creating meaningful representations of large amounts of data.

Datashader is a data rasterization pipeline for automating the process of creating meaningful representations of large amounts of data.

HoloViz 2.9k Jan 06, 2023
PySpark bindings for H3, a hierarchical hexagonal geospatial indexing system

h3-pyspark: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in PySpark PySpark bindings for the H3 core library. For available functions,

Kevin Schaich 12 Dec 24, 2022
follow-analyzer helps GitHub users analyze their following and followers relationship

follow-analyzer follow-analyzer helps GitHub users analyze their following and followers relationship by providing a report in html format which conta

Yin-Chiuan Chen 2 May 02, 2022
A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful.

How useful is the aswer? A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful. If you want to l

1 Dec 17, 2021
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging

Larch: Data Analysis Tools for X-ray Spectroscopy and More Documentation: http://xraypy.github.io/xraylarch Code: http://github.com/xraypy/xraylarch L

xraypy 95 Dec 13, 2022
OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase working capital.

Overview OpenARB is an open source program aiming to emulate a free market while encouraging players to participate in arbitrage in order to increase

Tom 3 Feb 12, 2022
Detecting Underwater Objects (DUO)

Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it more realistic by ad

27 Dec 12, 2022
Meltano: ELT for the DataOps era. Meltano is open source, self-hosted, CLI-first, debuggable, and extensible.

Meltano is open source, self-hosted, CLI-first, debuggable, and extensible. Pipelines are code, ready to be version c

Meltano 625 Jan 02, 2023
Code for the DH project "Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval Muslim World"

Damast This repository contains code developed for the digital humanities project "Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval

University of Stuttgart Visualization Research Center 2 Jul 01, 2022
Python dataset creator to construct datasets composed of OpenFace extracted features and Shimmer3 GSR+ Sensor datas

Python dataset creator to construct datasets composed of OpenFace extracted features and Shimmer3 GSR+ Sensor datas

Gabriele 3 Jul 05, 2022
Flexible HDF5 saving/loading and other data science tools from the University of Chicago

deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt

UChicago - Department of Computer Science 255 Dec 10, 2022
International Space Station data with Python research 🌎

International Space Station data with Python research 🌎 Plotting ISS trajectory, calculating the velocity over the earth and more. Plotting trajector

Facundo Pedaccio 41 Jun 16, 2022
ped-crash-techvol: Texas Ped Crash Tech Volume Pack

ped-crash-techvol: Texas Ped Crash Tech Volume Pack In conjunction with the Final Report "Identifying Risk Factors that Lead to Increase in Fatal Pede

Network Modeling Center; Center for Transportation Research; The University of Texas at Austin 2 Sep 28, 2022
A 2-dimensional physics engine written in Cairo

A 2-dimensional physics engine written in Cairo

Topology 38 Nov 16, 2022
A variant of LinUCB bandit algorithm with local differential privacy guarantee

Contents LDP LinUCB Description Model Architecture Dataset Environment Requirements Script Description Script and Sample Code Script Parameters Launch

Weiran Huang 4 Oct 25, 2022
This is an analysis and prediction project for house prices in King County, USA based on certain features of the house

This is a project for analysis and estimation of House Prices in King County USA The .csv file contains the data of the house and the .ipynb file con

Amit Prakash 1 Jan 21, 2022