TraP_tools

A python library of tools to process and analyse TraP data, including example scripts and Jupyter notebooks

Folders

databaseTools

Tools to access and query the TraP databases

• dbtools.py - contains:
  • access(engine,host,port,user,password,database) - opens a connection to the TraP database using SQLalchemy
  • GetVarParams(session,dataset_id) - returns the varmetric and runningcatalogue databases for a specific dataset id

exampleScripts

Example Jupyter Notebooks and standalone scripts using these tools

• FilterVariables.py and FilterVariables.ipynb Are equivalent, one is a standalone script and the other is a Jupyter notebook. They plot the variability parameters for a specific dataset.
• dblogin.py contains the main login parameters required for the database

PreTraPimageQC

Tools to prepare images for TraP processing and to conduct initial image quality control

• script1.py This is a temporary summary

tools

Various other useful tools

• tools.py Includes:
  • SigmaFit(data) - fits a gaussian distribution to data and returns the fit parameters
  • extract_data(filename) - extracts data from a csv file
  • write_data(filename,tmp) - writes data into a csv file
  • animation_zoom.ipynb - IPython notebook which creates a movie from a collection of images, allowing for the user to specify a zoom-in window on a target of interest. Based on the animation prototype created by Mark in his scratchpad repo.