Skip to main content

Tools for SQL or Excel of observational data handling.

Project description

Purpose

RandyData serves as a simple tool to automate data handling tasks, when working with MySQL Databases and Excel tables, storing one observation per row.

It helps reading the Excel table into a MySQL database and creates custom classes for every observation. Furthermore, it helps automate some basic formatting tasks to present your results.

welcome_data

The randydata.welcome_data module is made to simplify the process of importing excel files and reading SQL tables to memory. It uses an object oriented approach and dynamically creates a class, storing the observed parameters and adding user specified methods to make data handling more easy.

data_layout

The randydata.data_layout module simplifies some more common formatting tasks to present the results you got from analysing the observed data. It uses html to quickly add some structure to your data.

Docs

Sphinx docs are available at readTheDocs

Feedback

I am very happy about any kind of feedback or suggestion by email: randydata@randerath.eu

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

randydata-0.3.1.10.tar.gz (5.7 kB view hashes)

Uploaded Source

Built Distribution

randydata-0.3.1.10-py3-none-any.whl (6.2 kB view hashes)

Uploaded Python 3

Supported by

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