# Market Aggregates Market aggregates, especially used with weighting such as capacity weighting, are useful proxies to estimate how differences in forecasts - either between models or between different forecasts of the same model - impact energy production & consumption. For more information about market aggregates, see the [market-aggregates](https://docs.jua.ai/api-v2/query-engine/market-aggregates "mention") page. Market aggregates can be queried directly through the Jua Python SDK, using the `MarketAggregates` class. ## Example As an introduction to market aggregates in the SDK, see this simple example. For more examples, please see [our GitHub repository](https://github.com/juaAI/jua-python-sdk/tree/main/examples/market_aggregates). ```python from datetime import datetime import matplotlib.pyplot as plt from jua import JuaClient from jua.market_aggregates import AggregateVariables, ModelRuns from jua.types import MarketZones from jua.weather import Models client = JuaClient() # Create an energy market for specific zones germany = client.market_aggregates.get_market(market_zone=MarketZones.DE) # Select two EPT-2 forecasts and two ECMWF IFS forecasts to compare model_runs = [ ModelRuns( Models.EPT2, [ datetime(2025, 9, 29, 0), datetime(2025, 9, 29, 6), ] ), ModelRuns( Models.ECMWF_IFS_SINGLE, [ datetime(2025, 9, 29, 0), datetime(2025, 9, 29, 6), ] ), ] # Retrieve the 2-day 10m wind market aggregates for Germany # An xarray.Dataset is returned, containing the market aggregates # for each model run wind_data = germany.compare_runs( agg_variable=AggregateVariables.WIND_SPEED_AT_HEIGHT_LEVEL_10M, model_runs=model_runs, max_lead_time=48, ) # Plot the 4 market aggregates using matplotlib fig, ax = plt.subplots(figsize=(15, 5)) wind_data["wind_speed_at_height_level_10m"].plot(ax=ax, x="time", hue="model_run") ax.set_title("10m Wind Market Aggregates: Germany") plt.show() ``` This will plot the following:
## Documentation ### Aggregate Variables The `AggregateVariables` enum provides the following variables: * `AggregateVariables.WIND_SPEED_AT_HEIGHT_LEVEL_10M` * `AggregateVariables.WIND_SPEED_AT_HEIGHT_LEVEL_100M` * `AggregateVariables.SURFACE_DOWNWELLING_SHORTWAVE_FLUX_SUM_1H` * `AggregateVariables.AIR_TEMPERATURE_AT_HEIGHT_LEVEL_2M` Aggregate variables automatically uses the appropriate weighting from the `Weighting` enum: * **Wind variables** use `Weighting.WIND_CAPACITY` * **Solar variables** use `Weighting.SOLAR_CAPACITY` * **Temperature** uses `Weighting.POPULATION` Example: {% tabs %} {% tab title="Accessing all available AggregateVariables" %} ```python # Listing all available AggregateVariables print("Available AggregateVariables:") for var in AggregateVariables: print(f" - variable: {var}") ``` {% endtab %} {% tab title="Output" %} ``` Available AggregateVariables: - variable: AggregateVariables.AIR_TEMPERATURE_AT_HEIGHT_LEVEL_2M - variable: AggregateVariables.SURFACE_DOWNWELLING_SHORTWAVE_FLUX_SUM_1H - variable: AggregateVariables.WIND_SPEED_AT_HEIGHT_LEVEL_10M - variable: AggregateVariables.WIND_SPEED_AT_HEIGHT_LEVEL_100M ``` {% endtab %} {% endtabs %} ### Energy Market An `EnergyMarket` provides access to spatially aggregated forecast data for specific market zones. Data is weighted by the appropriate factor (wind capacity, solar capacity, or population) depending on the variable requested. This is useful for energy market analysis where you need regionally aggregated forecasts. ``` Attributes: client: JuaClient The JuaClient instance for API communication. market_zone: MarketZones | str | list[MarketZones | str] The market zones or list of market zones to aggregate data for. Methods: compare_runs(): Attributes: agg_variable: AggregateVariable | AggregateVariables The AggregateVariable specifying which variable to query. model_runs: list[ModelRuns] List of ModelRuns instances specifying which model forecasts to query. Each ModelRuns contains a model and one or more init_times (datetimes or non-negative integers). min_lead_time: int Minimum forecast lead time in hours (default: 0). max_lead_time: int | None Maximum forecast lead time in hours. If None, returns all available lead times. Returns: xarray.Dataset containing `model_run` and `time` dimensions, with `prediction_timedelta` and the queried variable as data_vars. ``` Examples: ```python from datetime import datetime from jua import JuaClient from jua.market_aggregates import AggregateVariables, ModelRuns from jua.types import MarketZones from jua.weather import Models client = JuaClient() # Create an energy market for specific zones germany = client.market_aggregates.get_market(market_zone=MarketZones.DE) # Select two EPT-2 forecasts and two ECMWF IFS forecasts to compare model_runs = [ModelRuns(Models.EPT2, [0, 1])] # Retrieve the 2-day 10m wind market aggregates for Germany wind_data = germany.compare_runs( agg_variable=AggregateVariables.SURFACE_DOWNWELLING_SHORTWAVE_FLUX_SUM_1H, model_runs=model_runs, max_lead_time=48, ) ``` ### Market Zones The `MarketZones` is a simple helper Enum containing the available market zones for market aggregate queries. Example: {% tabs %} {% tab title="List Available MarketZones" %} ```python from jua.types import MarketZones print("Available MarketZones:") for market_zone in MarketZones: print(f" - {market_zone.name} (country: {market_zone.country})") ``` {% endtab %} {% tab title="Output" %} ``` Available MarketZones: - AD (country: Countries.ANDORRA) - AE (country: Countries.UNITED_ARAB_EMIRATES) - AF (country: Countries.AFGHANISTAN) - AG (country: Countries.ANTIGUA_AND_BARBUDA) - AL (country: Countries.ALBANIA) - AM (country: Countries.ARMENIA) - AO (country: Countries.ANGOLA) - AR (country: Countries.ARGENTINA) - AT (country: Countries.AUSTRIA) - AU_LH (country: Countries.AUSTRALIA) - AU_NSW (country: Countries.AUSTRALIA) - AU_NT (country: Countries.AUSTRALIA) - AU_QLD (country: Countries.AUSTRALIA) - AU_SA (country: Countries.AUSTRALIA) - AU_TAS (country: Countries.AUSTRALIA) - AU_TAS_CBI (country: Countries.AUSTRALIA) - AU_TAS_FI (country: Countries.AUSTRALIA) - AU_TAS_KI (country: Countries.AUSTRALIA) - AU_VIC (country: Countries.AUSTRALIA) - AU_WA (country: Countries.AUSTRALIA) - AW (country: Countries.ARUBA) - AX (country: Countries.ALAND_ISLANDS) - AZ (country: Countries.AZERBAIJAN) - BA (country: Countries.BOSNIA_AND_HERZEGOVINA) - BB (country: Countries.BARBADOS) - BD (country: Countries.BANGLADESH) - BE (country: Countries.BELGIUM) - BF (country: Countries.BURKINA_FASO) - BG (country: Countries.BULGARIA) - BH (country: Countries.BAHRAIN) - BI (country: Countries.BURUNDI) - BJ (country: Countries.BENIN) - BM (country: Countries.BERMUDA) - BN (country: Countries.BRUNEI_DARUSSALAM) - BO (country: Countries.BOLIVIA_PLURINATIONAL_STATE_OF) - BR_CS (country: Countries.BRAZIL) - BR_N (country: Countries.BRAZIL) - BR_NE (country: Countries.BRAZIL) - BR_S (country: Countries.BRAZIL) - BS (country: Countries.BAHAMAS) - BT (country: Countries.BHUTAN) - BW (country: Countries.BOTSWANA) - BY (country: Countries.BELARUS) - BZ (country: Countries.BELIZE) - CA_AB (country: Countries.CANADA) - CA_BC (country: Countries.CANADA) - CA_MB (country: Countries.CANADA) - CA_NB (country: Countries.CANADA) - CA_NL (country: Countries.CANADA) - CA_NS (country: Countries.CANADA) - CA_NT (country: Countries.CANADA) - CA_NU (country: Countries.CANADA) - CA_ON (country: Countries.CANADA) - CA_PE (country: Countries.CANADA) - CA_QC (country: Countries.CANADA) - CA_SK (country: Countries.CANADA) - CA_YT (country: Countries.CANADA) - CD (country: Countries.CONGO_THE_DEMOCRATIC_REPUBLIC_OF_THE) - CF (country: Countries.CENTRAL_AFRICAN_REPUBLIC) - CG (country: Countries.CONGO) - CH (country: Countries.SWITZERLAND) - CI (country: Countries.COTE_DIVOIRE) - CL_CHP (country: Countries.CHILE) - CL_SEA (country: Countries.CHILE) - CL_SEM (country: Countries.CHILE) - CL_SEN (country: Countries.CHILE) - CM (country: Countries.CAMEROON) - CN (country: Countries.CHINA) - CO (country: Countries.COLOMBIA) - CR (country: Countries.COSTA_RICA) - CU (country: Countries.CUBA) - CV (country: Countries.CABO_VERDE) - CW (country: Countries.CURACAO) - CY (country: Countries.CYPRUS) - CZ (country: Countries.CZECHIA) - DE (country: Countries.GERMANY) - DJ (country: Countries.DJIBOUTI) - DK_BHM (country: Countries.DENMARK) - DK_DK1 (country: Countries.DENMARK) - DK_DK2 (country: Countries.DENMARK) - DM (country: Countries.DOMINICA) - DO (country: Countries.DOMINICAN_REPUBLIC) - DZ (country: Countries.ALGERIA) - EC (country: Countries.ECUADOR) - EE (country: Countries.ESTONIA) - EG (country: Countries.EGYPT) - EH (country: Countries.WESTERN_SAHARA) - ER (country: Countries.ERITREA) - ES (country: Countries.SPAIN) - ES_CN_FV (country: Countries.SPAIN) - ES_CN_GC (country: Countries.SPAIN) - ES_CN_HI (country: Countries.SPAIN) - ES_CN_IG (country: Countries.SPAIN) - ES_CN_LP (country: Countries.SPAIN) - ES_CN_LZ (country: Countries.SPAIN) - ES_CN_TE (country: Countries.SPAIN) - ES_IB_FO (country: Countries.SPAIN) - ES_IB_IZ (country: Countries.SPAIN) - ES_IB_MA (country: Countries.SPAIN) - ES_IB_ME (country: Countries.SPAIN) - ET (country: Countries.ETHIOPIA) - FI (country: Countries.FINLAND) - FJ (country: Countries.FIJI) - FK (country: Countries.FALKLAND_ISLANDS_MALVINAS) - FM (country: Countries.MICRONESIA_FEDERATED_STATES_OF) - FO_MI (country: Countries.FAROE_ISLANDS) - FO_SI (country: Countries.FAROE_ISLANDS) - FR (country: Countries.FRANCE) - FR_COR (country: Countries.FRANCE) - GA (country: Countries.GABON) - GB (country: Countries.UNITED_KINGDOM) - GB_NIR (country: Countries.UNITED_KINGDOM) - GB_ORK (country: Countries.UNITED_KINGDOM) - GB_ZET (country: Countries.UNITED_KINGDOM) - GE (country: Countries.GEORGIA) - GF (country: Countries.FRENCH_GUIANA) - GG (country: Countries.GUERNSEY) - GH (country: Countries.GHANA) - GL (country: Countries.GREENLAND) - GM (country: Countries.GAMBIA) - GN (country: Countries.GUINEA) - GP (country: Countries.GUADELOUPE) - GQ (country: Countries.EQUATORIAL_GUINEA) - GR (country: Countries.GREECE) - GT (country: Countries.GUATEMALA) - GU (country: Countries.GUAM) - GW (country: Countries.GUINEA_BISSAU) - GY (country: Countries.GUYANA) - HK (country: Countries.HONG_KONG) - HN (country: Countries.HONDURAS) - HR (country: Countries.CROATIA) - HT (country: Countries.HAITI) - HU (country: Countries.HUNGARY) - ID (country: Countries.INDONESIA) - IE (country: Countries.IRELAND) - IL (country: Countries.ISRAEL) - IM (country: Countries.ISLE_OF_MAN) - IN_AN (country: Countries.INDIA) - IN_EA (country: Countries.INDIA) - IN_NE (country: Countries.INDIA) - IN_NO (country: Countries.INDIA) - IN_SO (country: Countries.INDIA) - IN_WE (country: Countries.INDIA) - IQ (country: Countries.IRAQ) - IR (country: Countries.IRAN_ISLAMIC_REPUBLIC_OF) - IS (country: Countries.ICELAND) - IT_CNO (country: Countries.ITALY) - IT_CSO (country: Countries.ITALY) - IT_NO (country: Countries.ITALY) - IT_SAR (country: Countries.ITALY) - IT_SIC (country: Countries.ITALY) - IT_SO (country: Countries.ITALY) - JE (country: Countries.JERSEY) - JM (country: Countries.JAMAICA) - JO (country: Countries.JORDAN) - JP_CB (country: Countries.JAPAN) - JP_CG (country: Countries.JAPAN) - JP_HKD (country: Countries.JAPAN) - JP_HR (country: Countries.JAPAN) - JP_KN (country: Countries.JAPAN) - JP_KY (country: Countries.JAPAN) - JP_ON (country: Countries.JAPAN) - JP_SK (country: Countries.JAPAN) - JP_TH (country: Countries.JAPAN) - JP_TK (country: Countries.JAPAN) - KE (country: Countries.KENYA) - KG (country: Countries.KYRGYZSTAN) - KH (country: Countries.CAMBODIA) - KM (country: Countries.COMOROS) - KP (country: Countries.KOREA_DEMOCRATIC_PEOPLES_REPUBLIC_OF) - KR (country: Countries.KOREA_REPUBLIC_OF) - KW (country: Countries.KUWAIT) - KY (country: Countries.CAYMAN_ISLANDS) - KZ (country: Countries.KAZAKHSTAN) - LA (country: Countries.LAO_PEOPLES_DEMOCRATIC_REPUBLIC) - LB (country: Countries.LEBANON) - LC (country: Countries.SAINT_LUCIA) - LI (country: Countries.LIECHTENSTEIN) - LK (country: Countries.SRI_LANKA) - LR (country: Countries.LIBERIA) - LS (country: Countries.LESOTHO) - LT (country: Countries.LITHUANIA) - LU (country: Countries.LUXEMBOURG) - LV (country: Countries.LATVIA) - LY (country: Countries.LIBYA) - MA (country: Countries.MOROCCO) - MD (country: Countries.MOLDOVA_REPUBLIC_OF) - ME (country: Countries.MONTENEGRO) - MG (country: Countries.MADAGASCAR) - MK (country: Countries.NORTH_MACEDONIA) - ML (country: Countries.MALI) - MM (country: Countries.MYANMAR) - MN (country: Countries.MONGOLIA) - MQ (country: Countries.MARTINIQUE) - MR (country: Countries.MAURITANIA) - MT (country: Countries.MALTA) - MU (country: Countries.MAURITIUS) - MV (country: Countries.MALDIVES) - MW (country: Countries.MALAWI) - MX (country: Countries.MEXICO) - MY_EM (country: Countries.MALAYSIA) - MY_WM (country: Countries.MALAYSIA) - MZ (country: Countries.MOZAMBIQUE) - NA (country: Countries.NAMIBIA) - NC (country: Countries.NEW_CALEDONIA) - NE (country: Countries.NIGER) - NG (country: Countries.NIGERIA) - NI (country: Countries.NICARAGUA) - NL (country: Countries.NETHERLANDS) - NO_NO1 (country: Countries.NORWAY) - NO_NO2 (country: Countries.NORWAY) - NO_NO3 (country: Countries.NORWAY) - NO_NO4 (country: Countries.NORWAY) - NO_NO5 (country: Countries.NORWAY) - NP (country: Countries.NEPAL) - NZ (country: Countries.NEW_ZEALAND) - NZ_NZC (country: Countries.NEW_ZEALAND) - NZ_NZST (country: Countries.NEW_ZEALAND) - OM (country: Countries.OMAN) - PA (country: Countries.PANAMA) - PE (country: Countries.PERU) - PF (country: Countries.FRENCH_POLYNESIA) - PG (country: Countries.PAPUA_NEW_GUINEA) - PH_LU (country: Countries.PHILIPPINES) - PH_MI (country: Countries.PHILIPPINES) - PH_VI (country: Countries.PHILIPPINES) - PK (country: Countries.PAKISTAN) - PL (country: Countries.POLAND) - PM (country: Countries.SAINT_PIERRE_AND_MIQUELON) - PR (country: Countries.PUERTO_RICO) - PS (country: Countries.PALESTINE_STATE_OF) - PT (country: Countries.PORTUGAL) - PT_AC (country: Countries.PORTUGAL) - PT_MA (country: Countries.PORTUGAL) - PW (country: Countries.PALAU) - PY (country: Countries.PARAGUAY) - QA (country: Countries.QATAR) - RE (country: Countries.REUNION) - RO (country: Countries.ROMANIA) - RS (country: Countries.SERBIA) - RU_1 (country: Countries.RUSSIAN_FEDERATION) - RU_2 (country: Countries.RUSSIAN_FEDERATION) - RU_AS (country: Countries.RUSSIAN_FEDERATION) - RU_EU (country: Countries.RUSSIAN_FEDERATION) - RU_FE (country: Countries.RUSSIAN_FEDERATION) - RU_KGD (country: Countries.RUSSIAN_FEDERATION) - RW (country: Countries.RWANDA) - SA (country: Countries.SAUDI_ARABIA) - SB (country: Countries.SOLOMON_ISLANDS) - SC (country: Countries.SEYCHELLES) - SD (country: Countries.SUDAN) - SE_SE1 (country: Countries.SWEDEN) - SE_SE2 (country: Countries.SWEDEN) - SE_SE3 (country: Countries.SWEDEN) - SE_SE4 (country: Countries.SWEDEN) - SG (country: Countries.SINGAPORE) - SI (country: Countries.SLOVENIA) - SJ (country: Countries.SVALBARD_AND_JAN_MAYEN) - SK (country: Countries.SLOVAKIA) - SL (country: Countries.SIERRA_LEONE) - SN (country: Countries.SENEGAL) - SO (country: Countries.SOMALIA) - SR (country: Countries.SURINAME) - SS (country: Countries.SOUTH_SUDAN) - ST (country: Countries.SAO_TOME_AND_PRINCIPE) - SV (country: Countries.EL_SALVADOR) - SY (country: Countries.SYRIAN_ARAB_REPUBLIC) - SZ (country: Countries.ESWATINI) - TD (country: Countries.CHAD) - TG (country: Countries.TOGO) - TH (country: Countries.THAILAND) - TJ (country: Countries.TAJIKISTAN) - TL (country: Countries.TIMOR_LESTE) - TM (country: Countries.TURKMENISTAN) - TN (country: Countries.TUNISIA) - TO (country: Countries.TONGA) - TR (country: Countries.TURKEY) - TT (country: Countries.TRINIDAD_AND_TOBAGO) - TW (country: Countries.TAIWAN_PROVINCE_OF_CHINA) - TZ (country: Countries.TANZANIA_UNITED_REPUBLIC_OF) - UA (country: Countries.UKRAINE) - UA_CR (country: Countries.UKRAINE) - UG (country: Countries.UGANDA) - US_AK (country: Countries.UNITED_STATES) - US_AK_SEAPA (country: Countries.UNITED_STATES) - US_CAL_BANC (country: Countries.UNITED_STATES) - US_CAL_CISO (country: Countries.UNITED_STATES) - US_CAL_IID (country: Countries.UNITED_STATES) - US_CAL_LDWP (country: Countries.UNITED_STATES) - US_CAL_TIDC (country: Countries.UNITED_STATES) - US_CAR_CPLE (country: Countries.UNITED_STATES) - US_CAR_CPLW (country: Countries.UNITED_STATES) - US_CAR_DUK (country: Countries.UNITED_STATES) - US_CAR_SC (country: Countries.UNITED_STATES) - US_CAR_SCEG (country: Countries.UNITED_STATES) - US_CENT_SPA (country: Countries.UNITED_STATES) - US_CENT_SWPP (country: Countries.UNITED_STATES) - US_FLA_FMPP (country: Countries.UNITED_STATES) - US_FLA_FPC (country: Countries.UNITED_STATES) - US_FLA_FPL (country: Countries.UNITED_STATES) - US_FLA_GVL (country: Countries.UNITED_STATES) - US_FLA_HST (country: Countries.UNITED_STATES) - US_FLA_JEA (country: Countries.UNITED_STATES) - US_FLA_SEC (country: Countries.UNITED_STATES) - US_FLA_TAL (country: Countries.UNITED_STATES) - US_FLA_TEC (country: Countries.UNITED_STATES) - US_HI (country: Countries.UNITED_STATES) - US_MIDA_PJM (country: Countries.UNITED_STATES) - US_MIDW_AECI (country: Countries.UNITED_STATES) - US_MIDW_LGEE (country: Countries.UNITED_STATES) - US_MIDW_MISO (country: Countries.UNITED_STATES) - US_NE_ISNE (country: Countries.UNITED_STATES) - US_NW_AVA (country: Countries.UNITED_STATES) - US_NW_BPAT (country: Countries.UNITED_STATES) - US_NW_CHPD (country: Countries.UNITED_STATES) - US_NW_DOPD (country: Countries.UNITED_STATES) - US_NW_GCPD (country: Countries.UNITED_STATES) - US_NW_IPCO (country: Countries.UNITED_STATES) - US_NW_NEVP (country: Countries.UNITED_STATES) - US_NW_NWMT (country: Countries.UNITED_STATES) - US_NW_PACE (country: Countries.UNITED_STATES) - US_NW_PACW (country: Countries.UNITED_STATES) - US_NW_PGE (country: Countries.UNITED_STATES) - US_NW_PSCO (country: Countries.UNITED_STATES) - US_NW_PSEI (country: Countries.UNITED_STATES) - US_NW_SCL (country: Countries.UNITED_STATES) - US_NW_TPWR (country: Countries.UNITED_STATES) - US_NW_WACM (country: Countries.UNITED_STATES) - US_NW_WAUW (country: Countries.UNITED_STATES) - US_NY_NYIS (country: Countries.UNITED_STATES) - US_SE_SOCO (country: Countries.UNITED_STATES) - US_SW_AZPS (country: Countries.UNITED_STATES) - US_SW_EPE (country: Countries.UNITED_STATES) - US_SW_PNM (country: Countries.UNITED_STATES) - US_SW_SRP (country: Countries.UNITED_STATES) - US_SW_TEPC (country: Countries.UNITED_STATES) - US_SW_WALC (country: Countries.UNITED_STATES) - US_TEN_TVA (country: Countries.UNITED_STATES) - US_TEX_ERCO (country: Countries.UNITED_STATES) - UY (country: Countries.URUGUAY) - UZ (country: Countries.UZBEKISTAN) - VC (country: Countries.SAINT_VINCENT_AND_THE_GRENADINES) - VE (country: Countries.VENEZUELA_BOLIVARIAN_REPUBLIC_OF) - VI (country: Countries.VIRGIN_ISLANDS_U_S) - VN (country: Countries.VIET_NAM) - VU (country: Countries.VANUATU) - WS (country: Countries.SAMOA) - XK (country: Countries.KOSOVO) - XX (country: Countries.CYPRUS) - YE (country: Countries.YEMEN) - YT (country: Countries.MAYOTTE) - ZA (country: Countries.SOUTH_AFRICA) - ZM (country: Countries.ZAMBIA) - ZW (country: Countries.ZIMBABWE) ``` {% endtab %} {% endtabs %} ### Model Runs `ModelRuns` is a simple data container that combines a weather model with one or more initialization times. The initialization times can be specified as `datetime` objects or as integer indices to select from recent runs. Integers from 0 to 12 can be used to select any of the 12 most recent initialization times: * `0`: latest run * `1`: second latest run * `2`: third latest run, etc. ``` Attributes: model: The weather model (from Models enum). init_times: The initialization times. Can be: - A single datetime or a non-negative integer (0 to 12). - A list of datetimes. - A list of non-negative integers (0 to 12) ``` Example: ```python from datetime import datetime from jua.market_aggregates import ModelRuns from jua.weather import Models # the latest EPT2 forecast run = ModelRuns(Models.EPT2, 0) # the 3 most recent EPT2 forecasts run = ModelRuns(Models.EPT2, [0, 1, 2]) # a specific EPT2 forecast from the 5th of August 2024 run = ModelRuns(Models.EPT2, datetime(2024, 8, 5, 0)) # all EPT2 forecasts from the 5th of August 2024 run = ModelRuns( Models.EPT2, [ datetime(2024, 8, 5, 0), datetime(2024, 8, 5, 6), datetime(2024, 8, 5, 12), datetime(2024, 8, 5, 18), ] ) ``` ### Country Aggregates Some countries are split into different market zones. You can still obtain aggregates for the entire country with the following code. ```python # Filter zones by country norway_zones = MarketZones.filter_by_country(Countries.NORWAY) print([z.zone_name for z in norway_zones]) # ['NO-NO1', 'NO-NO2', 'NO-NO3', 'NO-NO4', 'NO-NO5'] # Create market using filtered zones norway = client.market_aggregates.get_market(market_zone=norway_zones) # Use in queries data = norway.compare_runs( agg_variable=AggregateVariables.WIND_SPEED_AT_HEIGHT_LEVEL_10M, model_runs=[ModelRuns(Models.EPT2, 0)], ) ```