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pyroot002_TTreeAsMatrix.py File Reference


namespace  pyroot002_TTreeAsMatrix

Detailed Description

View in nbviewer Open in SWAN This tutorial shows how a TTree can be quickly converted to a numpy array or a pandas.DataFrame.

import ROOT
from sys import exit
import numpy as np
print("Failed to import numpy.")
# Helper function to create an example tree
def make_example():
root_file = ROOT.TFile("pyroot002_example.root", "RECREATE")
tree = ROOT.TTree("tree", "tutorial")
x = np.empty((1), dtype="float32")
y = np.empty((1), dtype="float32")
tree.Branch("x", x, "x/F")
tree.Branch("y", y, "y/F")
for i in range(4):
x[0] = i
y[0] = -i
return (root_file, x, y), tree
# The conversion of the TTree to a numpy array is implemented with multi-
# thread support.
# Create a ROOT file with a tree and the branches "x" and "y"
_, tree = make_example()
# Print content of the tree by looping explicitly
print("Tree content:\n{}\n".format(
np.asarray([[tree.x, tree.y] for event in tree])))
# Read-out full tree as numpy array
array = tree.AsMatrix()
print("Tree converted to a numpy array:\n{}\n".format(array))
# Get numpy array and according labels of the columns
array, labels = tree.AsMatrix(return_labels=True)
print("Return numpy array and labels:\n{}\n{}\n".format(labels, array))
# Apply numpy methods on the data
print("Mean of the columns retrieved with a numpy method: {}\n".format(
np.mean(array, axis=0)))
# Read only specific branches
array = tree.AsMatrix(columns=["x"])
print("Only the content of the branch 'x':\n{}\n".format(np.squeeze(array)))
array = tree.AsMatrix(exclude=["x"])
print("Read all branches except 'x':\n{}\n".format(np.squeeze(array)))
# Get an array with a specific data-type
array = tree.AsMatrix(dtype="int")
print("Return numpy array with data-type 'int':\n{}\n".format(array))
## Convert the tree to a pandas.DataFrame
import pandas
print("Failed to import pandas.")
data, columns = tree.AsMatrix(return_labels=True)
df = pandas.DataFrame(data=data, columns=columns)
print("Tree converted to a pandas.DataFrame:\n{}".format(df))
April 2018
Stefan Wunsch

Definition in file pyroot002_TTreeAsMatrix.py.