After completing all the changes to compute Spectrum using Vaex , I compared the memory used during the execution of the program . I used tracemalloc to compute memory uses to compute Spectrum .
Computing the spectrum
Following code is used , and memory maximum memory used during the execution of this code is recorded for Vaex and Pandas
from radis import calc_spectrum import tracemalloc tracemalloc.start() s, factory_s = calc_spectrum(1800, 2500, # cm-1 molecule='H2O', isotope='1,2,3', pressure=1.01325, # bar Tgas=700, # K mole_fraction=0.1, path_length=1, # cm databank='hitemp', # or 'hitemp', 'geisa', 'exomol' wstep='auto', use_cached=False, engine='pandas', return_factory=True, ) s.apply_slit(0.5, 'nm') # simulate an experimental slit s.plot('radiance') print(tracemalloc.get_traced_memory()) tracemalloc.stop()
It can be seen from the graph below that Vaex takes very less memory space in comparison to Pandas.