Dear Numpy Mailing List Readers, I have a quite simple problem, for what I did not find a solution for now. I have a gzipped file lying around that has some numbers stored in it and I want to read them into a numpy array as fast as possible but only a bunch of data at a time. So I would like to use numpys fromfile funtion. For now I have somehow the following code : f=gzip.open( "myfile.gz", "r" ) xyz=npy.fromfile(f,dtype="float32",count=400) So I would read 400 entries from the file, keep it open, process my data, come back and read the next 400 entries. If I do this, numpy is complaining that the file handle f is not a normal file handle : OError: first argument must be an open file but in fact it is a zlib file handle. But gzip gives access to the normal filehandle through f.fileobj. So I tried xyz=npy.fromfile(f.fileobj,dtype="float32",count=400) But there I get just meaningless values (not the actual data) and when I specify the sep=" " argument for npy.fromfile I get just .1 and nothing else. Can you tell me why and how to fix this problem? I know that I could read everything to memory, but these files are rather big, so I simply have to avoid this. Thanks in advance. -- Peter Schmidtke ---------------------- PhD Student at the Molecular Modeling and Bioinformatics Group Dep. Physical Chemistry Faculty of Pharmacy University of Barcelona