mATLASplotlib

This package provides wrappers around matplotlib functionality produce plots compatible with the style guidelines for the ATLAS experiment at the LHC. It is particularly aimed at users who are not familiar with matplotlib syntax. Basic usage involves creating a canvas, plotting a dataset and saving the output to a file. For example, something like

import mATLASplotlib
with mATLASplotlib.canvases.Simple(shape="landscape") as canvas:
    x, y = [0, 1, 2, 3], [0, 1, 4, 9]
    canvas.plot_dataset(x, y, style="scatter", label="Example points", colour="black")
    canvas.save("simple_example")

will produce a minimal scatter plot with automatically determined axis limits and save this to a PDF (if not otherwise specified).

• Introduction
• Installation
  • 1. Requirements
  • 2. Automatic installation with pip
  • 3. Upgrading with pip
  • 4. Installing from source
• Font setup
  • 1. Linux users
  • 2. OSX users
• Getting Started
  • 1. Validate installation
  • 2. Constructing some data
  • 3. Setting up a canvas
  • 4. Plotting options
  • 5. Saving the canvas to a file
• Examples
  • 1. Basic data and prediction plot
  • 1. More complicated - theory band and log-scale
• API
  • canvases
  • converters
  • decorations
  • plotters
  • style
  • matplotlib_wrapper