Introduction

This project provides a few Python libraries to easily plot ROOT objects.

rdir: interface to browse multiple ROOT files.
rplot: interface to plot ROOT objects.
rplotsh: script to interactively browse multiple ROOT files, read objects, and plot them.
r2mpl: ROOT to matplotlib translation layer.

Installation

At the moment there are no install scripts. So all you need to do is add a symlink to the python script rplotsh.py somewhere in your path. This is what I do:

$ export PATH=~/bin:$PATH
$ ln -s ~/bin/rplotsh /path/to/repo/rplotsh.py

After the above steps, rplotsh should work from anywhere.

Tasks

rplotsh [0/5]

Plotting

plot <object> | <list>

Plot settings

set grid ...
set linestyle | linecolour | linewidth ...
set stack
set legends ...

WInP Manipulate objects in memory [1/2]

[X] list objects
```
lsmem [memobj]...
    
```
[ ] move objects to container
```
mv <memobj>... <container>
    
```

Inspect objects in the file

cat | print [-v] <obj>

For histograms, graphs, etc, show contents
For trees, show branch information

Tree commands

Inspect (range of) entries, branches
Looping constructs
Splicing trees into subtrees by selection. How to do this?
- entrylist: book keeping
- clonetree: possible memory issues

RooFit commands

Browse workspace

Rplot [2/4]

Line style, width

Marker style, size

Automatic legends

State “WInP” from “TODO” [2015-05-23 Sat 11:49]

Stack

r2mpl [0/1]

Translate ROOT histogram to numpy array

Histograms in mpl still retain the dataset granularity, whereas it is lost in ROOT. Need to fake this behaviour during conversion.

suvayu/rplot