FWHistoPool::BlockHistogram Class Reference

a full histogram block read into memory More...

#include <FWHistoPool.h>

Collaboration diagram for FWHistoPool::BlockHistogram:

Public Member Functions
	BlockHistogram (FillValue fill_type, std::array< std::array< uint32_t, 256 >, 8 > values, double collection_time)
FillValue	fill_type () const
	which type of fill value was put into the histogram
const std::array< std::array< uint32_t, 256 >, 8 >	values () const
	access the values of the histogram
double	collection_time () const
	how long was the histogram being filled?
nlohmann::json	to_json () const
	convert the histogram into UHI JSON

Private Attributes
FillValue	fill_type_
	what type of value was filled into the histogram
std::array< std::array< uint32_t, 256 >, 8 >	values_
	content of the histogram
double	collection_time_
	time histogram was filling in seconds (or zero if no last clear)

Detailed Description

a full histogram block read into memory

Member Function Documentation

to_json()

nlohmann::json FWHistoPool::BlockHistogram::to_json

(

)

const

convert the histogram into UHI JSON

This JSON output is helpful for loading into python plotting. If only the output from this function is written to the file, then the histogram can be loaded with

import json
import uhi.io.json
import hist
 
with open('path/to/hists.json') as f:
    h_ir = json.load(f, object_hook=uhi.io.json.object_hook)
 
h = hist.Hist(h_ir)
# h is a 2D histogram where the first axis is the STC
# and the second axis is the sum

The collection time is included in the histogram's 'metadata' in the JSON for scaling the plot later if desired.

Returns

JSON representation of list of histograms

---

The documentation for this class was generated from the following files:

• app/tool/trig/FWHistoPool.h
• app/tool/trig/FWHistoPool.cxx