% fetch series by provider code and dataset code df = fetch_series('provider_code', "AMECO", 'dataset_code', "UVGD", 'max_nb_series', 500); % fetch one series by ID df_id = fetch_series('series_ids',"AMECO/ZUTN/EA19.1.0.0.0.ZUTN"); % fetch multiple series by ID df_ids = fetch_series('series_ids', ["AMECO/ZUTN/EA19.1.0.0.0.ZUTN", "AMECO/ZUTN/DNK.1.0.0.0.ZUTN"]); % fetch many series by ID from different datasets df_ids_sets = fetch_series('series_ids', ["AMECO/ZUTN/EA19.1.0.0.0.ZUTN", "AMECO/ZUTN/DNK.1.0.0.0.ZUTN", "IMF/CPI/A.AT.PCPIT_IX"]); % fetch time series by code mask df_code_mask1 = fetch_series('provider_code', "IMF", 'dataset_code', "CPI", 'series_code', "M.FR+DE.PCPIEC_IX+PCPIA_IX"); df_code_mask2 = fetch_series('provider_code', "IMF", 'dataset_code', "CPI", 'series_code', ".FR.PCPIEC_WT"); % df_code_mask3 = fetch_series('provider_code', "IMF", 'dataset_code', "CPI", 'series_code', "M..PCPIEC_IX+PCPIA_IX", 'max_nb_series', 400); % fetch series by dimensions % dimensions=struct("geo", "dnk"); df_dim = fetch_series('provider_code',"AMECO", 'dataset_code', "ZUTN", 'dimensions', '{"geo":["dnk"]}'); df_dims = fetch_series('provider_code',"WB",'dataset_code',"DB", 'dimensions', '{"country":["ES","FR","IT"],"indicator":["IC.REG.COST.PC.FE.ZS.DRFN"]}'); % fetch series by api link df_link = fetch_series_by_api_link("https://api.db.nomics.world/v22/series/WB/DB?observations=1&dimensions=%7B%22country%22%3A%5B%22FR%22%2C%22IT%22%2C%22ES%22%5D%2C%22indicator%22%3A%5B%22IC.REG.COST.PC.FE.ZS.DRFN%22%5D%7D"); % fetch series from the cart df_cart = fetch_series_by_api_link("https://api.db.nomics.world/v22/series?series_ids=AMECO%2FZUTN%2FEA19.1.0.0.0.ZUTN&observations=1"); % fetch multi frequency series df_multi_freq = fetch_series('series_ids', ["BEA/NIUnderlyingDetail-U001BC/S315-A",... "BEA/NIUnderlyingDetail-U001BC/S315-Q",... "BEA/NIUnderlyingDetail-U001BC/S315-M"]); % fetch one series and apply interpolation filter filters_ = '[{"code": "interpolate", "parameters": {"frequency": "monthly", "method": "spline"}}]'; df_filter = fetch_series('series_ids', "AMECO/ZUTN/EA19.1.0.0.0.ZUTN",... 'dbnomics_filters', filters_); % fetch multiple series and apply interpolation filter df_filters = fetch_series('series_ids', ["AMECO/ZUTN/EA19.1.0.0.0.ZUTN", "AMECO/ZUTN/DNK.1.0.0.0.ZUTN"],... 'dbnomics_filters', filters_);