Just add the chunksize argument to your code:
data = pd.read_csv('SUPERLARGEFILE.csv', index_col=0, encoding = "ISO-8859-1", low_memory=Fals, chunksize=10)
result = []
for chunk in data: # get chunks of 10 rows each
result.append(chunk.mean())
# do something with res e.g. res = DataFrame(res).to_csv("result.csv")