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Reference Guide
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df020_helpers.C
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/// \file
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/// \ingroup tutorial_dataframe
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/// \notebook
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/// Show usage of RDataFrame's helper tools, contained in ROOT/RDFHelpers.hxx.
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///
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/// \macro_code
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///
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/// \date July 2018
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/// \author Enrico Guiraud (CERN)
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void
df020_helpers()
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{
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// First of all, we create a dataframe with 3 entries and define two simple columns
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const
auto
nEntries = 3;
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ROOT::RDataFrame
_df(nEntries);
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auto
df = _df.Define(
"one"
, [] {
return
1; }).Define(
"two"
, [] {
return
2; });
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// *** Not ***
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// This helper takes a callable `f` (which must return a `bool`) and produces a new callable which takes the same
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// arguments as `f` but returns its negated result. `Not` is useful to invert the check performed by a given Filter.
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// Here we define a simple lambda that checks whether a value is equal to 1, and invert it with Not:
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auto
isOne = [] (
int
a
) {
return
a
== 1; };
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auto
isNotOne =
ROOT::RDF::Not
(isOne);
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// Both `isOne` and `isNotOne` are callables that we can use in `Filters`:
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auto
c1
= df.Filter(isOne, {
"one"
}).Count();
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auto
c2
= df.Filter(isNotOne, {
"two"
}).Count();
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// Both counts are equal to the total number of entries, as both Filters always pass.
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R__ASSERT
(*
c1
== nEntries);
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R__ASSERT
(*
c2
== nEntries);
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// *** PassAsVec ***
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// Consider the following function, which checks if a vector consists of two elements equal to 1 and 2:
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auto
checkOneTwo = [] (
const
std::vector<int> &
v
) {
return
v
.size() == 2 &&
v
[0] == 1 &&
v
[1] == 2; };
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// The following line, although it looks reasonable, would _not_ run correctly:
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// df.Filter(checkOneTwo, {"one", "two"});
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// The reason is that `Filter(..., {"one", "two"})` expects a callable that takes exactly two integers, while
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// `checkOneTwo` actually takes a vector of integers (i.e. it does not have the right signature).
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// PassAsVec helps passing down the single values "one", "two" to `checkOneTwo` as a collection: it takes a callable
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// `f` that expects a collection as argument and returns a new callable that takes single arguments instead, passes
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// them down to `f` and returns what `f` returns.
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// PassAsVec requires that number of arguments and their type is specified as template argument.
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// Here's an example usage (remember, PassAsVec(f) returns a new callable!):
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auto
c3
= df.Filter(ROOT::RDF::PassAsVec<2, int>(checkOneTwo), {
"one"
,
"two"
}).Count();
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R__ASSERT
(*
c3
== nEntries);
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}
a
#define a(i)
Definition
RSha256.hxx:99
R__ASSERT
#define R__ASSERT(e)
Definition
TError.h:118
ROOT::RDataFrame
ROOT's RDataFrame offers a high level interface for analyses of data stored in TTree,...
Definition
RDataFrame.hxx:50
c1
return c1
Definition
legend1.C:41
c2
return c2
Definition
legend2.C:14
c3
return c3
Definition
legend3.C:15
ROOT::RDF::Not
auto Not(F &&f) -> decltype(RDFInternal::NotHelper(Args(), std::forward< F >(f)))
Given a callable with signature bool(T1, T2, ...) return a callable with same signature that returns ...
Definition
RDFHelpers.hxx:83
v
@ v
Definition
rootcling_impl.cxx:3670
tutorials
dataframe
df020_helpers.C
ROOT v6-26 - Reference Guide Generated on Mon Sep 11 2023 21:03:01 (GVA Time) using Doxygen 1.9.8