bgc_data_processing.providers.glodap_2019

Specific parameters to load GLODAPv2.2019-provided data.

loader = DataSource(provider_name='GLODAP_2019', data_format='csv', dirin=Path(PROVIDERS_CONFIG['GLODAP_2019']['PATH']), data_category=PROVIDERS_CONFIG['GLODAP_2019']['CATEGORY'], excluded_files=PROVIDERS_CONFIG['GLODAP_2019']['EXCLUDE'], files_pattern=FileNamePattern('glodapv2_({years}).csv'), variable_ensemble=SourceVariableSet(provider=VARS['provider'].not_in_file(), expocode=VARS['expocode'].in_file_as('cruise'), date=VARS['date'].not_in_file(), year=VARS['year'].in_file_as('YEAR'), month=VARS['month'].in_file_as('MONTH'), day=VARS['day'].in_file_as('DAY'), hour=VARS['hour'].in_file_as('hour'), longitude=VARS['longitude'].in_file_as('LONGITUDE'), latitude=VARS['latitude'].in_file_as('LATITUDE'), depth=VARS['depth'].in_file_as('DEPTH').remove_when_nan().correct_with(lambda : -x), temperature=VARS['temperature'].in_file_as('THETA'), salinity=VARS['salinity'].in_file_as(('SALNTY', 'salinityf', [2])), oxygen=VARS['oxygen'].in_file_as(('OXYGEN', 'oxygenf', [2])).correct_with(units.convert_umol_by_kg_to_mmol_by_m3), phosphate=VARS['phosphate'].in_file_as(('PHSPHT', 'phosphatef', [2])).remove_when_all_nan(), nitrate=VARS['nitrate'].in_file_as(('NITRAT', 'nitratef', [2])).remove_when_all_nan(), silicate=VARS['silicate'].in_file_as(('SILCAT', 'silicatef', [2])).remove_when_all_nan(), chlorophyll=VARS['chlorophyll'].not_in_file().remove_when_all_nan()), read_params={'low_memory': False, 'index_col': False, 'skiprows': [1]}) module-attribute