doc/hackathon/hist000__TH1__first__uhi_8py.html

import numpy as np

import ROOT


# Open the file to write the histogram to

with ROOT.TFile.Open("outfile_uhi.root", "RECREATE") as outFile:

    # Create the histogram object

    # There are several constructors you can use (see TH1). In this example we use the

    # simplest one, accepting a number of bins and a range.

    histogram = ROOT.TH1D("histogram", "My first ROOT histogram", nbinsx=30, xlow=0.0, xup=10.0)


    # Fill the histogram by passing a NumPy array. In this simple example we use a fake set of data.

    # The 'D' in TH1D stands for 'double', so we fill the histogram with doubles.

    # In general you should prefer TH1D over TH1F unless you have a very specific reason

    # to do otherwise.

    values = np.array([1, 2, 3, 3, 3, 4, 3, 2, 1, 0])

    counts, edges = np.histogram(values, bins=30, range=(0.0, 10.0))

    histogram[...] = counts


    # Write the histogram to `outFile`.

    outFile.WriteObject(histogram, histogram.GetName())


    # When `with` block exits, `outFile` will close itself and write its contents to disk.