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# -- branches I'm interested in out of all the ones in the df
branches = ['jet_pt', 'abs(jet_eta)', 
            'jet_phi', 'jet_ip3', 'jet_ip3_c', 
            'jet_ip3_cu', 'jet_ip2', 'jet_ip2_c', 
            'jet_ip2_cu', 'jet_sv1_ntrkv', 
            'jet_sv1_m', 'jet_sv1_efc', 'jet_sv1_n2t']
​
# -- QUICK WAY:
start = 0
unflattened = [test_df[b] for b in branches]

mickypaganini

from root_numpy.tmva import add_classification_events, evaluate_reader
from rootpy.io import root_open
from rootpy import stl, log
from rootpy.tree import Tree
from rootpy.vector import Vector3, LorentzVector
from ROOT import TMVA, TFile
import xml.etree.ElementTree as ET
from array import array
import pandas as pd
import pandautils as pup

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from rootpy.plotting.style import set_style
set_style('ATLAS', mpl=True)