HDF5 integration with ROOT framework
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30-05-2021 - |
解決
You might check out rootpy, which has a facility for converting ROOT files into HDF5 via PyTables: http://www.rootpy.org/commands/root2hdf5.html
他のヒント
If this issue is still of interest to you, recently there have been large improvements to rootpy's root2hdf5 script and the root_numpy package (which root2hdf5 uses to convert TTrees into NumPy structured arrays):
root2hdf5 -h
usage: root2hdf5 [-h] [-n ENTRIES] [-f] [--ext EXT] [-c {0,1,2,3,4,5,6,7,8,9}]
[-l {zlib,lzo,bzip2,blosc}] [--script SCRIPT] [-q]
files [files ...]
positional arguments:
files
optional arguments:
-h, --help show this help message and exit
-n ENTRIES, --entries ENTRIES
number of entries to read at once (default: 100000.0)
-f, --force overwrite existing output files (default: False)
--ext EXT output file extension (default: h5)
-c {0,1,2,3,4,5,6,7,8,9}, --complevel {0,1,2,3,4,5,6,7,8,9}
compression level (default: 5)
-l {zlib,lzo,bzip2,blosc}, --complib {zlib,lzo,bzip2,blosc}
compression algorithm (default: zlib)
--script SCRIPT Python script containing a function with the same name
that will be called on each tree and must return a tree or
list of trees that will be converted instead of the
original tree (default: None)
-q, --quiet suppress all warnings (default: False)
As of when I last checked (a few months ago) root2hdf5 had a limitation that it could not handle TBranches which were arrays. For this reason I wrote a bash script: root2hdf (sorry for non-creative name).
It takes a ROOT file and the path to the TTree in the file as input arguments and generates source code & compiles to an executable which can be run on ROOT files, converting them into HDF5 datasets.
It also has a limitation that it cannot handle compound TBranch types, but I don't know that root2hdf5 does either.