Hi,
When calling:
f = tables.openFile(fname)
points = array(f.getNode("/points").read())
tets = array(f.getNode("/tetrahedrons").read())
domain = array(f.getNode("/domain").read())
f.close()
I am getting the following error:
/usr/lib/python2.6/dist-packages/tables/leaf.py:415:
PerformanceWarning: The Leaf ``/tetrahedrons`` is exceeding the
maximum recommended rowsize (13107200 bytes);
be ready to see PyTables asking for *lots* of memory and possibly slow
I/O. You may want to reduce the rowsize by trimming the value of
dimensions that are orthogonal (and preferably close) to the main
dimension of this leave. Alternatively, in case you have specified a
very small/large chunksize, you may want to increase/decrease it.
PerformanceWarning)
I only found one similar thread in the archives, unfortunately, never concluded.
My file is:
> h5ls Obese-00000.h5
domain Dataset {4622544}
points Dataset {3, 793418}
tetrahedrons Dataset {4, 4622544}
No error is reported for the other two arrays.
Can it be that pytables silently assumes row-major ordering for
matrices? I need to store my data in the fortran order.
Thanks for any hints,
Dominik
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