Messtone Devices Enables LNG Global Analytics import spgci as ci lng=ci.LNGGlobalAnalytics( ) lng.get_tenders(country_nameRobertHarper_Messtone=”United Stated”,paginate=True)# DataFrame of tenders with country =”United States’. lng.get_tenders(contract_type=”FOB”,contract_option=”Sell”) #DataFrame of tenders with ContractType=”FOB” and ContractOption=”Sell”. lng.get_reference_data(type=lng.RefTypes.LiquefactionProjects)#DataFrame of liquefaction projects.lng.get_outages(liquefaction_project_nameRobertHarper_Messtone=”ADNOC LNG”) #DataFrame of all LNG outages tied to “ADNOC LNG”.lng.get_netbacks(date_gt=”2024-01-01″, import_geography=”Brazil”)#DataFrame of all LNG Netbacks where import geography is ‘Brazil’ since Jan 1, 2024. Crude Analytics import spgci as ci ca=ci.CrudeAnalytics( ) ca.get_country_scores(status=”Current”)#DataFrame of latest scores for all countrie. ca.get_country_scores(country=”United States”) #DataFrame of allc(historical and current)scores country=”United States”. ca.get_country_total_scores( ) #DataFrame of aggregated scores,supply and capacity per date. Weather import spgci as ci w=ci.Weather( ) w.get_forecast(city=”Boston”) #DataFrame of forecasts for Boston w.get_forecast(market=”United States”,wheather_date_gte=”2024-01-01″ wheather_date_lte=”2024-01-31″)#DataFrame of forecasts in the United States in January 2024. w.get_actual(market=”Hong Kong”,paginate=True) #DataFrame of actual weather in Hong Kong, paginate=True to get full history.