Improving PyROOT for better productivity.
pip install PyrootCK==1.0.1
Improving PyROOT
for better productivity.
Collection of utilities are organized into subpackages::
mathutils
:
asymvar
: class for variable with asymmetric-error, inspired from uncertainties.ufloat
.Eff
, EffU
, EffU_unguard
: functions to compute efficiencies with Clopper-Pearson uncertainty.weighted_average
, weighted_harmonic_average
: when a simple average is not enough.combine_fully_correlated
, combine_uncorrelated
, combine_BLUE
: for combining multiple observables with uncertainty into one, given choices of correlation. For BLUE (Best Linear Unbiased Estimator), see Valassi, 2013.iouils
import_tree
to quickly load TTree
from (multiple) TFile
overloaded for different source types (local, ganga, eos, xrootd, ...).tmvautils
TMVA_Adapter
to help setup TMVA.Reader
variables, and return TTree
of mva-response weights.As well as miscellaneous monkey-patching on ROOT
and uncertainties
for more methods::
ROOT
:
ROOT
(TH
,TGraph
,RooWorkspace
,RooFitResult
,...) and pandas
(Series
, DataFrame
).TFile.slice_tree
to extract TTree
into smaller one.TTree.drop
to make index-unique TTree.TH1.vlookup
, TH2.vlookup
: like in Microsoft Excel, to retrive value in a bin given point(s) on the axis.TMultiGraph.brazillian
: for the upper limits plot.uncertainties
:
var
, based on ufloat but ready-made for statistical (Poisson) error.ufloat
: rerr
, upperlim
, low
, high
, interval
, rounding_PDG
tags
, get_error
, get_rerr
See the docstring from module index for more details.
It's available on pip: pip install pyrootck
Dependency: uncertainties
, pandas
, root_numpy
, pyroot_zen
, PythonCK
This packacge was written and used during my PhD in 2013-2017 at EPFL (Lausanne) and LHCb collaboration (CERN), for the work in Z->tau tau cross-section measurement and H->mu tau searches at LHCb (8TeV).
I hope it can be of a good use for future analysis...