H5FROMTXT(1)

NAME
h5fromtxt - convert text input to an HDF5 file

SYNOPSIS
h5fromtxt [OPTION]... [HDF5FILE]

DESCRIPTION

h5fromtxt takes a series of numbers from standard input and outputs a multi-dimensional numeric dataset in an HDF5 file. HDF5 is a free, portable binary format and supporting library developed by the National Center for Supercomputing Applications at the University of Illinois in Urbana-Champaign. A single h5 file can contain multiple data sets; by default, h5fromtxt creates a dataset called "data", but this can be changed via the -d option, or by using the syntax HDF5FILE:DATASET. The -a option can be used to append new datasets to an existing HDF5 file. All characters besides the numbers (and associated decimal points, etcetera) in the input are ignored. By default, the data is assumed to be a two-dimensional MxN dataset where M is the number of rows (delimited by newlines) and N is the number of columns. In this case, it is an error for the number of columns to vary between rows. If M or N is 1 then the data is written as a one-dimensional dataset. Alternatively, you can specify the dimensions of the data explicitly via the -n size option, where size is e.g. "2x2x2". In this case, newlines are ignored and the data is taken as an array of the given size stored in row-major ("C") order (where the last index varies most quickly as you step through the data). e.g. a 2x2x2 array would be have the elements listed in the order: (0,0,0), (0,0,1), (0,1,0), (0,1,1), (1,0,0), (1,0,1), (1,1,0), (1,1,1). A simple example is:

    h5fromtxt foo.h5 <<EOF
    1 2 3 4
    5 6 7 8
    EOF

which reads in a 2x4 space-delimited array from standard input.

OPTIONS

-h  Display help on the command-line options and usage.

-V  Print the version number and copyright info for h5fromtxt.

-v  Verbose output.

-a  If the HDF5 output file already exists, append the data as a new dataset rather than overwriting the file (the default behavior). An existing dataset of the same name within the file is overwritten, however.

-n size
    Instead of trying to infer the dimensions of the array from the rows and columns of the input, treat the data as a sequence of numbers in row-major order forming an array of dimensions size. size is of the form MxNxLx... (with M, N, L being numbers) and may be of any dimensionality.

-T  Transpose the input when it is written, reversing the dimensions.

-d name
    Write to dataset name in the output; otherwise, the output dataset is called "data" by default. Alternatively, use the syntax HDF5FILE:DATASET.

BUGS
Send bug reports to S. G. Johnson, stevenj@alum.mit.edu.

AUTHORS
Written by Steven G. Johnson. Copyright (c) 2005 by the Massachusetts Institute of Technology.