doc/v632/df035__RDFFromPandas_8py.html

import ROOT

import pandas as pd


# Let's create some data in a pandas dataframe

pdf = pd.DataFrame({'x': [1, 2, 3], 'y': [4, 5, 6]})


# Convert the Pandas DataFrame to RDataFrame

# The column names are directly copied to the RDF

# Please note that only fundamental types (int, float, ...) are supported and

# the arrays must have the same length.

df = ROOT.RDF.FromPandas(pdf)


# You can now use the RDataFrame as usually, e.g. add a column ...

df = df.Define('z', 'x + y')


# ... or print the content

df.Display().Print()


# ... or save the data as a ROOT file

df.Snapshot('tree', 'df035_RDFFromPandas.root')

TRangeDynCast
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Definition TCollection.h:358

Print
void Print(GNN_Data &d, std::string txt="")
Definition TMVA_SOFIE_GNN_Application.C:59