> a = np.random.bytes(4*n).view(dtype='<u4') If you for example want a post-processing that just use 32 bits of randomness per deviate, you can e.g. do something like this:
r = np.random.bytes(4*n).view(dtype='<u4').astype(float)/float(0xFFFFFFFF+1) I have no idea what R does, though. NumPy's post-processing is similar to this (except without temporary arrays): a = (np.random.bytes(4*n).view(dtype='<u4') >> 5).astype(np.int32) b = (np.random.bytes(4*n).view(dtype='<u4') >> 6).astype(np.int32) r = (a * 67108864.0 + b) / 9007199254740992.0 Sturla _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
