I'm writing some utility code that needs to search through some
presorted HDF5 Arrays to find values. The fastest way to search is with
the numpy.ndarray.searchsorted method. The problem is that some of our
data was written with Pytables from a list, so calling read on the Array
returns a python list, as per the flavor, so I need to convert it to a
numpy.array.
If I can read the array as if it had a numpy flavor, that would save me
a step to determine if a conversion is needed, and the conversion time.
Is there a way to force PyTables to read a dataset as a different
flavor than it was saved as?
Looking at the definition of the Array.read method, it already does a
conversion from the internal flavor (which is numpy in our case) to the
final flavor. I just need it to not convert from internal to the
array's flavor. My current workaround is to just use the first two
lines of the three-line method:
array._read(*array._processRangeRead(None,None,None))
But I'd rather use a method in the official API.
--
Anthony Foglia
Princeton Consultants
(609) 987-8787 x233
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