bgc_data_processing.providers.glodap_2022

Specific parameters to load GLODAPv2.2022-provided data.

loader = DataSource(provider_name='GLODAP_2022', data_format='csv', dirin=Path(PROVIDERS_CONFIG['GLODAP_2022']['PATH']), data_category=PROVIDERS_CONFIG['GLODAP_2022']['CATEGORY'], excluded_files=PROVIDERS_CONFIG['GLODAP_2022']['EXCLUDE'], files_pattern=FileNamePattern('GLODAPv2.2022_all.csv'), variable_ensemble=SourceVariableSet(provider=VARS['provider'].not_in_file(), expocode=VARS['expocode'].in_file_as('G2expocode'), date=VARS['date'].not_in_file(), year=VARS['year'].in_file_as('G2year'), month=VARS['month'].in_file_as('G2month'), day=VARS['day'].in_file_as('G2day'), hour=VARS['hour'].in_file_as('G2hour'), longitude=VARS['longitude'].in_file_as('G2longitude'), latitude=VARS['latitude'].in_file_as('G2latitude'), depth=VARS['depth'].in_file_as('G2depth').remove_when_nan().correct_with(lambda : -x), temperature=VARS['temperature'].in_file_as('G2temperature'), salinity=VARS['salinity'].in_file_as(('G2salinity', 'G2salinityf', [2])), oxygen=VARS['oxygen'].in_file_as(('G2oxygen', 'G2oxygenf', [2])).correct_with(units.convert_umol_by_kg_to_mmol_by_m3), phosphate=VARS['phosphate'].in_file_as(('G2phosphate', 'G2phosphatef', [2])).remove_when_all_nan(), nitrate=VARS['nitrate'].in_file_as(('G2nitrate', 'G2nitratef', [2])).remove_when_all_nan(), silicate=VARS['silicate'].in_file_as(('G2silicate', 'G2silicatef', [2])).remove_when_all_nan(), chlorophyll=VARS['chlorophyll'].not_in_file().remove_when_all_nan()), read_params={'low_memory': False, 'index_col': False, 'na_values': -9999}) module-attribute