df032_RDFFromNumpy.py File Reference

Detailed Description

Read data from Numpy arrays into RDataFrame.

 
import ROOT
import numpy as np
 
# Let's create some data in numpy arrays
x = np.array([1, 2, 3], dtype=np.int32)
y = np.array([4, 5, 6], dtype=np.float64)
 
# Read the data with RDataFrame
# The column names in the RDataFrame are defined by the keys of the dictionary.
# Please note that only fundamental types (int, float, ...) are supported and
# the arrays must have the same length.
df = ROOT.RDF.FromNumpy({'x': x, 'y': y})
 
# You can now use the RDataFrame as usually, e.g. add a column ...
df = df.Define('z', 'x + y')
 
# ... or print the content
df.Display().Print()
 
# ... or save the data as a ROOT file
df.Snapshot('tree', 'df032_RDFFromNumpy.root')

+-----+---+----------+----------+
| Row | x | y        | z        | 
+-----+---+----------+----------+
| 0   | 1 | 4.000000 | 5.000000 | 
+-----+---+----------+----------+
| 1   | 2 | 5.000000 | 7.000000 | 
+-----+---+----------+----------+
| 2   | 3 | 6.000000 | 9.000000 | 
+-----+---+----------+----------+

Date

March 2021

Author

Stefan Wunsch (KIT, CERN)

Definition in file df032_RDFFromNumpy.py.