Caleb Fangmeier a482aef975 Adds Jupyter notebooks to documentation		7 年之前
..
README.md	3a8612fff9 Introduces the filval analysis fromwork wip	7 年之前
api.hpp	2536eec791 changes MapOver to no longer require template arguments to be wrapped in tuple	7 年之前
argparse.hpp	4d26f66e94 Adds ability to save fv::root containers to root files.	7 年之前
container.hpp	0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested.	7 年之前
dataset.hpp	fa090c5f43 begins re-implementing old ipynb analysis/plots using new framework	7 年之前
filter.hpp	0aed5ac4e7 Implements fully variadic Zip Value. Not yet tested.	7 年之前
filval.hpp	2536eec791 changes MapOver to no longer require template arguments to be wrapped in tuple	7 年之前
log.hpp	4d26f66e94 Adds ability to save fv::root containers to root files.	7 年之前
value.hpp	a482aef975 Adds Jupyter notebooks to documentation	7 年之前

A FILter-VALue System

This is a header-only, generic, data analysis system that allows for creating performant generation of Plots. Plots contain Values and can make use of Filters. Filters can also depend of Values, and Values can depend on other Values. A Dataset is a generic object that contains a series of observations. The individual observations consist of a series of Observed Values. One can also define Derived Values which are calculated from Observed Values or other Derived Values. Care is taken automatically so Derived Values are calculated at most once per observation.

MyDataSet myDataSet("somefile.root", "tree"); // MyDataSet subclasses DataSet
TTreeValue<int> countmyDataSet;
myDataSet.addValue

Hist1D myplot(count, myDataSet, ); // Hist1D subclasses Plot

README.md

A FILter-VALue System