R and HDF5 Troubles

前端 未结 2 741
耶瑟儿~
耶瑟儿~ 2020-12-31 16:31

I am trying to load an hdf5 into R and running into some problems. Here are the steps I took to configure my environment:

  • R 2.10.0 (x64) on Mac OS X 10.6
相关标签:
2条回答
  • 2020-12-31 16:42

    Use the verbosity argument in hdfload() and check your environment using ls(). hdfload() has a side effect, it loads the tables into the current environment, NULL is the default return value. If you use the argument load=TRUE the objects are returned as the components of a named list:

    • load: A logical value. If 'FALSE', the objects are returned as the components of a named list. If 'TRUE' (the default), the objects are loaded as individual variables with their own names - the function returns nothing in this case.

    On my Mac everything works well with the same setup.

    R> rm(list=ls())
    R> ls()
    character(0)
    R> hdf5load("TestHDF5.h5", verbosity=3)
    hdf5_global_verbosity=3 load=1
    Processing object: Dataset0 ...... its a dataset...Dataset has ID335544326
    Dataset has tid 201326902
    Dataset has space id 268435467
    Dataset has rank 1
    Dataset has dims/maxdims: 1 / 1 
    Allocating vector with rank=1 dim=1
    calling vector_io. Hangs here with big datsets
    Setting buffer size in plist
    About to read with bufsize = 50
    in string_ref: count=1, size=25 srcbf=25
    leaving string_ref
     Done read
    in vector_io: permuting
    in vector_io: tidying
    Phew. Done it. calling iinfo->add
    Rank > 1 or not VECSXP
    Calling  hdf5_load_attributes 
    back from  hdf5_load_attributes 
    ...Finished dataset 
    Processing object: Table0 ...... its a dataset...Dataset has ID335544327
    Dataset has tid 201326906
    Dataset has space id 268435468
    Dataset has rank 1
    Dataset has dims/maxdims: 1 / 1 
    Dataset has type = VECSXP and rank 1
    Reading...
    ....done
    in string_ref: count=1, size=25 srcbf=25
    leaving string_ref
    ...Finished dataset 
    NULL
    R> ls()
    [1] "Dataset0" "Table0"
    
    0 讨论(0)
  • 2020-12-31 17:00

    You can also try the h5r package on CRAN. This package uses the new hdf5 libraries and provides more functionality than hdf5 library.

    0 讨论(0)
提交回复
热议问题