1.3.3. Using PyROOT

When the environment variables for Uranie and PyROOT are properly set, we can access to the classes as follows:

# Load the ROOT module
import ROOT

# Create a new data server object
tds = ROOT.URANIE.DataServer.TDataServer("myTDS", "DataServer for python example")

# Add an attribute to the data server
tds.addAttribute(ROOT.URANIE.DataServer.TNormalDistribution("x", 0.0, 1.0))

# Create a sampler object
sampler = ROOT.URANIE.Sampler.TSampling(tds, "lhs", 1000)

# Generate data
sampler.generateSample()

# Display the histogram of attribute x
tds.draw("x")

This code should produce a graphic as the one displayed in Histogram produced using PyROOT

../../_images/example_pyroot.png — Figure 1.2 Histogram produced using PyROOT

The instructions above can be executed either through the Python command line, or be written in a file (myscript.py in the example below) and run using the command:

python -i myscript.py

The -i option allows to stay in the Python environment at the end of the execution. This prevents the produced image to be automatically closed.