ROOT(CERN): Plot an figure with error bars using data from an csv file-CodePudding

I'm trying to read data from a .csv file, which contains 4 columns: "x","y","Standard Deviation" and "Uncertainty". I want to plot a scatter diagram with error bars, which represent the uncertainty red from the .csv file. I run the following codes in root's REPL:

auto rdf = ROOT::RDF::MakeCsvDataFrame("./file.csv")
auto g1 = rdf.GraphAsymmErrors("x","y","","","Uncertainty","Uncertainty");

but I get an error:

ROOT_prompt_1:1:15: error: no member named 'GraphAsymmErrors' in 'ROOT::RDataFrame'

Meanwhile I can run the code below correctly:

auto g2=rdf.Graph("x","y");
g2->SetMarkerStyle(6);
g2->Draw();

, which confuses me because in the document of ROOT, the Graph() method and GraphAsymmErrors() method both seem to be the method of RDataFrame, so I think it should not show the error above.

Also, my root's version is 6.26, installed on Ubuntu 22.04 via snap.

CodePudding user response：

GraphAsymmErrors doesn't seem to exist in the v6.26 documentation. The documentation you linked was for the master branch. You'll probably have to update to a nightly-build or wait for the next release in order to use that function.

In the meantime I would recommend you use RDataFrame::Take() on the respective branches to get them as std::vectors, and use the TGraphAsymmErrors constructor directly.