Hi all, I'm working with pyhdf to open TRMM Rainfall HDF files. My final pourpose is converting them to a numpy array.
Once I downloaded them from ftp://disc2.nascom.nasa.gov/ftp/data/s4pa//TRMM_L3/TRMM_3B42 using an automated script. I've to manually decompress the donwloaded files using WinRAR. Then, processing de inflated files to get the numpy array. So I wonder how can I automate the whole process.... The downloaded HDF files ar Z compressed, I've been trying to inflate them using zlib, but it seems that python zlib implemementation can't detect header information. Here are the questions: a- Have you faced the same problem? a- Somebody knows a better way to do it? (getting numpy arrays from the HDF.Z files) b- If I were in a unix machine, I'll call decompress using a system call, but I'm in a Windows machine. If you know a compress implementation on windows, it also will help a lot. Environment: Python 2.5 Windows 7 x64 pyhdf (SD) numpy Thanks in advance.
