On Fri, Jan 23, 2009 at 15:31, Ryan May <rma...@gmail.com> wrote: > Hi, > > I'm trying to read in a data from a binary-formatted file. I have the data > format, (available at: > http://www1.ncdc.noaa.gov/pub/data/documentlibrary/tddoc/td7000.pdf if you're > really curious), but it's not what I would consider simple, with a lot of > different blocks and messages, some that are optional and some that have > different formats depending on the data type. My question is, has anyone > dealt > with data like this using numpy?
Yes! > Have you found a good pattern for how to > construct a numpy dtype dynamically to decode the different parts of the file > appropriately as you go along? I use mmap and create numpy arrays for each block using the ndarray constructor with the appropriate offset parameter. There isn't much of a pattern for constructing the dtypes except to use constructor functions. Good luck! -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
