Make numpy an optional dependency about segpy HOT 4 CLOSED

There are plenty of use cases which don't need to involve numpy, and which don't even use the trace data, such as indexing and searching of large numbers of SEG Y files which only uses the headers.

Furthermore, I'd like to retain the option of running on PyPy (or indeed Jython or IronPython when they eventually attain Python 3 compatibility).

So, no, I won't be maying core Segpy depend on numpy. That said, you can expect segpy_numpy to contain many more useful tools along the lines of what you suggest, which will be layered on top of segpy. I have some of my own bumpy wrappers, but I haven't incorporated them yet. I want to get core segpy stable and released first.

from segpy.

Fair enough. Thanks for your response. It is true that Jython, and IronPython don't play so well with numpy. PyPy should get there though. I'll be looking into wrappers with numpy on top of segpy then, thanks.

from segpy.

I've added into segpy_numpy some experimental wrappers for extracting as numpy arrays trace header fields, inlines, cross lines and time slices from 3-d surveys. They're essentially untested at this point, but you may want to give them a spin.

    from segpy.reader import create_reader
    from segpy_numpy.extract import extract_inline_3d    

    with open(segy_filename, 'rb') as segy_file:
        segy_reader = create_reader(segy_file)
        inline_array = extract_inline_3d(segy_reader, inline_number=1, null=0.0)

from segpy.

Great, thanks. I'll have a look.

from segpy.