Missing bool type in creating RDataFrame #18085
Description
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Description
cpp type of bool is not supported in converting pandas dataframe to RDF.
Reproducer
import ROOT
test_df = pandas.DataFrame( { 'test': [False, True]})
rdf=ROOT.RDF.FromPandas(test_df)Output error:
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Cell In[26], line 1
----> 1 rdf=ROOT.RDF.FromPandas(test_df)
File .conda/lib/python3.11/site-packages/ROOT/_facade.py:357, in ROOTFacade.RDF.<locals>.MakePandasDataFrame(df)
355 for key in df.columns:
356 np_dict[key] = df[key].to_numpy()
--> 357 return _MakeNumpyDataFrame(np_dict)
File .conda/lib/python3.11/site-packages/ROOT/_pythonization/_rdataframe.py:514, in _MakeNumpyDataFrame(np_dict)
512 _numpy_data[key] = (lambda: _numpy_data.pop(key), np_dict_copy)
513 deleter = ROOT.std.function["void()"](_numpy_data[key][0])
--> 514 return ROOT.Internal.RDF.MakeRVecDataFrame(deleter, *args)
File /.conda/lib/python3.11/site-packages/ROOT/_pythonization/_rdataframe.py:491, in <genexpr>(.0)
488 if len(np_dict) == 0:
489 raise RuntimeError("Object not convertible: Dictionary is empty.")
--> 491 args = (_make_name_rvec_pair(key, value) for key, value in np_dict.items())
493 # How we keep the NumPy arrays around as long as the RDataSource is alive:
494 #
495 # 1. Cache a container with references to the NumPy arrays in a global
(...) 507 #
508 # 4. The RDataSource calls the deleter in its destructor.
510 np_dict_copy = dict(**np_dict)
File .conda/lib/python3.11/site-packages/ROOT/_pythonization/_rdataframe.py:460, in _make_name_rvec_pair(key, value)
457 raise RuntimeError("Object not convertible: Dictionary key is not convertible to a string.")
459 # Convert value to RVec and attach to dictionary
--> 460 pyvec = ROOT.VecOps.AsRVec(value)
461 if not pyvec:
462 raise RuntimeError("Object not convertible: Dictionary entry " + key + " is not convertible with AsRVec.")
File .conda/lib/python3.11/site-packages/ROOT/_pythonization/_rvec.py:130, in _AsRVec(arr)
129 dtype = typestr[1:]
--> 130 cppdtype = _get_cpp_type_from_numpy_type(dtype)
132 # Construct an RVec of the correct data-type
133 out = ROOT.VecOps.RVec[cppdtype](ROOT.module.cppyy.ll.reinterpret_cast[f"{cppdtype} *"](data), size)
File .conda/lib/python3.11/site-packages/ROOT/_pythonization/_rvec.py:90, in _get_cpp_type_from_numpy_type(dtype)
87 cpptypes = {"i4": "int", "u4": "unsigned int", "i8": "Long64_t", "u8": "ULong64_t", "f4": "float", "f8": "double"}
89 if not dtype in cpptypes:
---> 90 raise RuntimeError("Object not convertible: Python object has unknown data-type '" + dtype + "'.")
92 return cpptypes[dtype]
RuntimeError: Object not convertible: Python object has unknown data-type 'b1'.
ROOT version
6.34.04
Installation method
pre-built
Operating system
Linux Ubuntu 22.04 on WSL2
Additional context
No response