Ryan May 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? 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? > > Any insight would be appreciated. > > Ryan >
Ryan, http://currents.soest.hawaii.edu/hg/hgwebdir.cgi/pycurrents/file/d7c5c9aac32d/adcp/rdiraw.py#l1 This gives an example of reading several related and rather complex binary file types generated by (oceanographic) acoustic Doppler current profilers. I have not looked at the format you are dealing with, so I don't know if the methods I used are applicable to your case. Eric _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
