Collaboration diagram for python.physvalPostProcessingTools.HistogramAdjustment:

Public Member Functions
	__init__ (self, input_hist, new_path, x_label=None, y_label=None, xlow=None, xhigh=None)
	__call__ (self, root_file)

Static Public Member Functions
	from_yaml (fragment)

Public Attributes
	input_hist = input_hist
	new_path = new_path
	x_label = x_label
	y_label = y_label
	xlow = xlow
	xhigh = xhigh

Detailed Description

Definition at line 451 of file physvalPostProcessingTools.py.

Constructor & Destructor Documentation

◆ init()

python.physvalPostProcessingTools.HistogramAdjustment.__init__	(	self,
		input_hist,
		new_path,
		x_label = None,
		y_label = None,
		xlow = None,
		xhigh = None )

Definition at line 452 of file physvalPostProcessingTools.py.

    def __init__(self, input_hist, new_path, x_label=None, y_label=None, xlow=None, xhigh=None):
        self.input_hist = input_hist
        self.new_path = new_path
        self.x_label = x_label
        self.y_label = y_label
        self.xlow = xlow
        self.xhigh = xhigh
 

Member Function Documentation

◆ call()

python.physvalPostProcessingTools.HistogramAdjustment.__call__	(		self,
			root_file )

Definition at line 460 of file physvalPostProcessingTools.py.

    def __call__(self, root_file):
        ROOT.TH1.AddDirectory(False)
        hist = find_histo(root_file, self.input_hist)
        if not hist:
            if crash_on_error:
                raise RuntimeError(f"Histogram '{self.input_hist}' not found.")
            else:
                logging.error(f"Histogram '{self.input_hist}' not found.")
                return
 
        path_parts = self.new_path.strip("/").split("/")
        *dir_path, new_name = path_parts
        directory_path = "/".join(dir_path)
        ensure_directory_exists(root_file, directory_path)
        root_file.cd(directory_path)
 
        if self.xlow is None or self.xhigh is None:
            h_out = hist.Clone(new_name)
        else:
            ax = hist.GetXaxis()
            bin_low = max(1, min(ax.FindBin(self.xlow), ax.GetNbins()))
            bin_high = max(1, min(ax.FindBin(self.xhigh), ax.GetNbins()))
            nbins = bin_high - bin_low
            h_out = ROOT.TH1D(new_name, hist.GetTitle(), nbins, float(self.xlow), float(self.xhigh))
            for i in range(nbins + 1):
                h_out.SetBinContent(i + 1, hist.GetBinContent(i + bin_low))
                h_out.SetBinError(i + 1, hist.GetBinError(i + bin_low))
            # let's retain entries in the full range -- more meaningful than default (number of bins)
            h_out.SetEntries(hist.GetEntries())
                
        if self.x_label:
            h_out.GetXaxis().SetTitle(self.x_label)
        if self.y_label:
            h_out.GetYaxis().SetTitle(self.y_label)
        h_out.Write(new_name, ROOT.TObject.kOverwrite)
        logging.info(f"Renamed and updated histogram '{self.input_hist}' → '{self.new_path}' in '{directory_path}' | X-axis: '{self.x_label}' | Y-axis: '{self.y_label}' | Range: ({self.xlow}, {self.xhigh})")
 

◆ from_yaml()

python.physvalPostProcessingTools.HistogramAdjustment.from_yaml ( fragment )

static

Definition at line 498 of file physvalPostProcessingTools.py.

    def from_yaml(fragment):
        return HistogramAdjustment(
            input_hist=fragment["hist"],
            new_path=fragment.get("final_histo_name", fragment["hist"]),
            x_label=fragment.get("x_axis_label"),
            y_label=fragment.get("y_axis_label"),
            xlow=fragment.get("xlow"),
            xhigh=fragment.get("xhigh")
        )