Created
February 9, 2022 08:59
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HDF5 direct chunk write example
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import h5py | |
import numpy | |
import hdf5plugin | |
import time | |
NN = 1024 | |
NY = 4096 | |
NX = 4096 | |
FRAME = numpy.random.poisson(0.1, size=(NY, NX)).astype(numpy.uint16) | |
def write_1k_images(filename): | |
with h5py.File(filename, "w") as f: | |
data = f.create_dataset( | |
"data", | |
shape=(NN, NY, NX), | |
chunks=(1, NY, NX), | |
dtype=numpy.uint16, | |
**hdf5plugin.Bitshuffle(), | |
) | |
t0 = time.time() | |
for j in range(NN): | |
data[j, :, :] = FRAME | |
t1 = time.time() | |
print(f"Writing {NN} frames simple way took {t1-t0:.1f}s") | |
def write_1k_chunks(filename): | |
with h5py.File(filename, "w") as f: | |
data = f.create_dataset( | |
"data", | |
shape=(NN, NY, NX), | |
chunks=(1, NY, NX), | |
dtype=numpy.uint16, | |
**hdf5plugin.Bitshuffle(), | |
) | |
data[0, :, :] = FRAME | |
filter, chunk = data.id.read_direct_chunk((0, 0, 0)) | |
t0 = time.time() | |
for j in range(1, NN): | |
data.id.write_direct_chunk((j, 0, 0), chunk, filter) | |
t1 = time.time() | |
print(f"Writing {NN} frames with direct chunk took {t1-t0:.1f}s") | |
write_1k_images("junk.h5") | |
write_1k_chunks("chunk.h5") |
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