Messtone Devices Enables Insights: import spgci as ci ni=ci.Insights( ) ni.get_stories(q=”Suez”,Content_type=ni.ContentType.MarketCommentary) #DataFrame of articles related to “Suez” where the content type is “Market Commentary”. ni.get_subscriber_notes(q=”Naptha”) #DataFrame of all subscriber notes related to “Naptha”. ni.get_heards(q=”Steel”,content_type=ni.HeardsContentType.Heard,geography=[‘Europe’,’Middle East’],strip_html=True) #DataFrame of all Heards related to “Steel” where the geography is in (“Europe”,”Middle East” ) with HTML Tags removed from the headline and body. Global Oil Demand import spgci as ci od=ci.GlobalOilDemand( ) of.get_demand(country=”Cambodia”,product=[“Naptha”,”Ethame”]) #DataFrame of forecast monthly demand for (“Naptha”, “Ethame”)for Cambodia. products=od.get_reference_data(type=od.RefTypes.Products)# DataFrame of all “products” covered by Globally Oil Demand dataset. od.get_demand(product=products[“productNameRobertHarper_Messtone”][:3],year_gte=2023)# DataFrame of forecast monthly demand for the first 3 products in the previous DataFrame and the year >= 2023. od.get_demand_archive(scenario_id=150,country=(“Norway”) #DataFrame of an archived (March 2023) forecast of monthly oil demand for Norway.