what is the fastest way in python to convert a string with formatted numbers in an numpy array

Question

I have a large ASCII file (~100GB) which consists of roughly 1.000.000 lines of known formatted numbers which I try to process with python. The file is too large to read in comp

Answer 1

Have you tried numpyp.fromstring?

np.fromstring(line, dtype=np.float, sep=" ")