import latis

instance = latis.LatisInstance(
     baseUrl='https://lasp.colorado.edu/lisird/latis',
     latis3=False)

instance3 = latis.LatisInstance(
     baseUrl='https://lasp.colorado.edu/lisird/latis',
     latis3=True)

instance.catalog.search('cls')

instance3.catalog.search('sorce')

instance.catalog.datasets

instance3.catalog.datasets

clsRadioFluxF8 = instance.getDataset('cls_radio_flux_f8')

clsRadioFluxF15 = instance.getDataset('cls_radio_flux_f15')

sorceMGIndex = instance3.getDataset('sorce_mg_index')

clsRadioFluxF15.select('time<0')

sorceMGIndex.select('time<2452705')

clsRadioFluxF107.project(['time', 'absolute_f107']).select(start='1953', end='1954').select(target='absolute_f107', end='70').operate('formatTime(yyyy.MM.dd)')

clsRadioFluxF107.project(['time','absolute_f107']).operate('formatTime(yyyy.MM.dd)').select(target='absolute_f107', end='70').select(start='1953', end='1954')

clsRadioFluxF15.metadata.properties

clsRadioFluxF8.metadata.properties

sorceMGIndex.metadata.properties

pandasDF = clsRadioFluxF15.asNumpy()

numpy = clsRadioFluxF15.asNumpy()

mgData = sorceMGIndex.asPandas()

clsRadioFluxF15.getFile('cls_radio_flux_f15') # Creates csv format file with .csv suffix

clsRadioFluxF15.getFile('cls_radio_flux_f15', 'txt') # Creates txt format file with .txt suffix

clsRadioFluxF15.getFile('cls_radio_flux_f15.data') # Creates csv format file with .data suffix