User Guide

Work in Progress

The user guide is incomplete. For the full list of packages and modules provided by ERLabPy, see API Reference.

Introduction

Welcome to the ERLabPy user guide! This guide provides an overview of ERLabPy and its core features.

If you are new to programming with python, Scientific Python Lectures is a great place to start.

Data structures in ERLabPy are represented using xarray[1], which provides a powerful data structure for working with multi-dimensional arrays. Visit the xarray tutorial and the xarray user guide to get familiar with xarray.

Table of Contents

• Reading and writing data
  • Reading data
  • Writing data
  • Loading ARPES data
  • Implementing a data loader plugin
• Selecting and indexing data
  • Masking
  • Interpolation
• Plotting
  • Importing
  • Plotting 2D data
  • Slices
  • 2D colormaps
  • Styling figures
  • Tips
• Momentum conversion
  • Nomenclature
  • Converting to momentum space
  • Setting parameters
  • Interactive conversion
• Curve fitting
  • Basic fitting with lmfit
  • Fitting with pre-defined models
  • Fitting xarray objects
  • Fermi edge fitting
  • Using iminuit
• Using ImageTool
  • Tips
  • Keyboard shortcuts

Further reading

• Lectures on scientific computing with Python

• The beginner’s guide to numpy

• Xarray tutorial