"""
This example shows how to read and write float datatypes to a dataset.  The
program first writes floats to a dataset with a dataspace of DIM0xDIM1, then
closes the file.  Next, it reopens the file, reads back the data, and outputs
it to the screen.

Tested with:
    Fedora 18:
        HDF5 1.8.9, Python 2.7.3, Numpy 1.7.1, h5py 2.1.3
    Fedora 18:
        HDF5 1.8.9, Python 3.3.0, Numpy 1.7.1, h5py 2.1.3
    Mac OS X 10.6.8:
        HDF5 1.8.10, Python 3.2.5, Numpy 1.7.1, h5py 2.1.3
"""
import sys

import numpy as np
import h5py

FILE = "h5ex_t_float.h5"
DATASET = "DS1"

# Strings are handled very differently between python2 and python3.
if sys.hexversion >= 0x03000000:
    FILE = FILE.encode()
    DATASET = DATASET.encode()

DIM0 = 4
DIM1 = 7

def run():
    # Initialize the data.
    wdata = np.zeros((DIM0, DIM1), dtype=np.float64)
    for i in range(DIM0):
        for j in range(DIM1):
            wdata[i][j] = i / (j + 0.5) + j

    # Create a new file using the default properties.
    fid = h5py.h5f.create(FILE)

    # Create the dataspace.  No maximum size parameter needed.
    dims = (DIM0, DIM1)
    space = h5py.h5s.create_simple(dims)

    # Create the dataset and write the floating point data to it.  In this
    # example, we will save the data as 64 bit little endian IEEE floating
    # point numbers, regardless of the native type.  The HDF5 library
    # automatically converts between different floating point types.
    dset = h5py.h5d.create(fid, DATASET, h5py.h5t.IEEE_F64LE, space)
    dset.write(h5py.h5s.ALL, h5py.h5s.ALL, wdata)

    # Explicitly close and release resources.
    del space
    del dset
    del fid

    # Open file and dataset using the default properties.
    fid = h5py.h5f.open(FILE)
    dset = h5py.h5d.open(fid, DATASET)

    rdata = np.zeros((DIM0, DIM1), dtype=np.float64)
    dset.read(h5py.h5s.ALL, h5py.h5s.ALL, rdata)

    # Output the data to the screen.
    print("%s:" % DATASET)
    print(rdata)


if __name__ == "__main__":
    run()