diff --git a/.conda/meta.yaml b/.conda/meta.yaml index 54df5f3e7..225dc76a5 100644 --- a/.conda/meta.yaml +++ b/.conda/meta.yaml @@ -1,4 +1,4 @@ -{% set version = "2.2.6" %} +{% set version = "2.2.7" %} package: name: codecarbon diff --git a/codecarbon/_version.py b/codecarbon/_version.py index a7ecb802b..90a1f38f9 100644 --- a/codecarbon/_version.py +++ b/codecarbon/_version.py @@ -1 +1 @@ -__version__ = "2.2.6" +__version__ = "2.2.7" diff --git a/codecarbon/core/emissions.py b/codecarbon/core/emissions.py index 42208ffa5..2b5b5f49b 100644 --- a/codecarbon/core/emissions.py +++ b/codecarbon/core/emissions.py @@ -195,7 +195,6 @@ def get_country_emissions(self, energy: Energy, geo: GeoMetadata) -> float: ) # kgs country_energy_mix: Dict = energy_mix[geo.country_iso_code] - emissions_per_kWh = self._global_energy_mix_to_emissions_rate( country_energy_mix ) @@ -243,7 +242,7 @@ def _global_energy_mix_to_emissions_rate(energy_mix: Dict) -> EmissionsPerKWh: # Sanity check if energy_sum_computed != energy_sum: logger.error( - f"We find {energy_sum_computed} TWh instead of {energy_sum} TWh for {energy_mix.get('official_name_en')}, using world average." + f"We find {energy_sum_computed} TWh instead of {energy_sum} TWh for {energy_mix.get('country_name')}, using world average." ) return EmissionsPerKWh.from_g_per_kWh( carbon_intensity_per_source.get("world_average") diff --git a/codecarbon/data/private_infra/2023-07-07-22-40-48.png b/codecarbon/data/private_infra/2023-07-07-22-40-48.png new file mode 100644 index 000000000..62020d9f2 Binary files /dev/null and b/codecarbon/data/private_infra/2023-07-07-22-40-48.png differ diff --git a/codecarbon/data/private_infra/global_energy_mix.json b/codecarbon/data/private_infra/global_energy_mix.json index 70463d7fe..eaf876899 100644 --- a/codecarbon/data/private_infra/global_energy_mix.json +++ b/codecarbon/data/private_infra/global_energy_mix.json @@ -1,4265 +1,4307 @@ { "ABW": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 591.398, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Aruba", - "fossil_Twh": 0.78, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.0, + "fossil_TWh": 0.78, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.0, "iso_code": "ABW", - "low_carbon_Twh": 0.15, - "nuclear_Twh": 0.0, - "oil_Twh": 0.78, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 8728.87, - "renewables_Twh": 0.15, - "solar_Twh": 0.01, - "total_Twh": 8730.880000000001, - "wind_Twh": 0.14, + "low_carbon_TWh": 0.15, + "nuclear_TWh": 0.0, + "oil_TWh": 0.78, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 8728.87, + "renewables_TWh": 0.15, + "solar_TWh": 0.01, + "total_TWh": 0.93, + "wind_TWh": 0.14, "year": 2021 }, "AFG": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 120.482, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Afghanistan", - "fossil_Twh": 0.13, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.62, + "fossil_TWh": 0.13, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.62, "iso_code": "AFG", - "low_carbon_Twh": 0.7, - "nuclear_Twh": 0.0, - "oil_Twh": 0.13, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 20.699, - "renewables_Twh": 0.7, - "solar_Twh": 0.08, - "total_Twh": 23.059, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.7, + "nuclear_TWh": 0.0, + "oil_TWh": 0.13, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 20.699, + "renewables_TWh": 0.7, + "solar_TWh": 0.08, + "total_TWh": 0.83, + "wind_TWh": 0.0, "year": 2021 }, "AGO": { - "biofuel_Twh": 0.28, - "carbon_intensity": 168.594, - "coal_Twh": 0.0, + "biofuel_TWh": 0.14, + "carbon_intensity": 195.983, + "coal_TWh": 0.0, "country_name": "Angola", - "fossil_Twh": 4.63, - "gaz_Twh": 3.89, - "hydroelectricity_Twh": 11.5, + "fossil_TWh": 4.77, + "gas_TWh": 2.01, + "hydroelectricity_TWh": 11.5, "iso_code": "AGO", - "low_carbon_Twh": 11.8, - "nuclear_Twh": 0.0, - "oil_Twh": 0.74, - "other_renewable_Twh": 0.28, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 476.18, - "renewables_Twh": 11.8, - "solar_Twh": 0.02, - "total_Twh": 521.1199999999999, - "wind_Twh": 0.0, + "low_carbon_TWh": 11.66, + "nuclear_TWh": 0.0, + "oil_TWh": 2.76, + "other_renewable_TWh": 0.14, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 476.18, + "renewables_TWh": 11.66, + "solar_TWh": 0.02, + "total_TWh": 16.43, + "wind_TWh": 0.0, + "year": 2021 + }, + "ALB": { + "biofuel_TWh": 0.0, + "carbon_intensity": 23.437, + "coal_TWh": 0.0, + "country_name": "Albania", + "fossil_TWh": 0.0, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 8.89, + "iso_code": "ALB", + "low_carbon_TWh": 8.96, + "nuclear_TWh": 0.0, + "oil_TWh": 0.0, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 3138.673, + "renewables_TWh": 8.96, + "solar_TWh": 0.07, + "total_TWh": 8.96, + "wind_TWh": 0.0, "year": 2021 }, "ARE": { - "biofuel_Twh": 0.01, + "biofuel_TWh": 0.01, "carbon_intensity": 461.845, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "United Arab Emirates", - "fossil_Twh": 127.14, - "gaz_Twh": 127.14, - "hydroelectricity_Twh": 0.0, + "fossil_TWh": 127.14, + "gas_TWh": 127.14, + "hydroelectricity_TWh": 0.0, "iso_code": "ARE", - "low_carbon_Twh": 8.49, - "nuclear_Twh": 1.79, - "oil_Twh": 0.0, - "other_renewable_Twh": 0.01, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 14482.418, - "renewables_Twh": 6.7, - "solar_Twh": 6.69, - "total_Twh": 14758.598, - "wind_Twh": 0.0, + "low_carbon_TWh": 8.49, + "nuclear_TWh": 1.79, + "oil_TWh": 0.0, + "other_renewable_TWh": 0.01, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 14482.418, + "renewables_TWh": 6.7, + "solar_TWh": 6.69, + "total_TWh": 135.63, + "wind_TWh": 0.0, "year": 2021 }, "ARG": { - "biofuel_Twh": 2.01, + "biofuel_TWh": 2.01, "carbon_intensity": 357.786, - "coal_Twh": 2.78, + "coal_TWh": 2.78, "country_name": "Argentina", - "fossil_Twh": 99.33, - "gaz_Twh": 88.99, - "hydroelectricity_Twh": 20.19, + "fossil_TWh": 99.33, + "gas_TWh": 88.99, + "hydroelectricity_TWh": 20.19, "iso_code": "ARG", - "low_carbon_Twh": 47.35, - "nuclear_Twh": 10.17, - "oil_Twh": 7.56, - "other_renewable_Twh": 2.01, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 3239.629, - "renewables_Twh": 37.18, - "solar_Twh": 2.17, - "total_Twh": 3562.0090000000005, - "wind_Twh": 12.81, + "low_carbon_TWh": 47.35, + "nuclear_TWh": 10.17, + "oil_TWh": 7.56, + "other_renewable_TWh": 2.01, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 3239.629, + "renewables_TWh": 37.18, + "solar_TWh": 2.17, + "total_TWh": 146.67999999999998, + "wind_TWh": 12.81, "year": 2021 }, "ARM": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 222.678, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Armenia", - "fossil_Twh": 3.18, - "gaz_Twh": 3.18, - "hydroelectricity_Twh": 2.2, + "fossil_TWh": 3.18, + "gas_TWh": 3.18, + "hydroelectricity_TWh": 2.2, "iso_code": "ARM", - "low_carbon_Twh": 4.14, - "nuclear_Twh": 1.85, - "oil_Twh": 0.0, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 2622.743, - "renewables_Twh": 2.29, - "solar_Twh": 0.09, - "total_Twh": 2637.8229999999994, - "wind_Twh": 0.0, + "low_carbon_TWh": 4.14, + "nuclear_TWh": 1.85, + "oil_TWh": 0.0, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 2622.743, + "renewables_TWh": 2.29, + "solar_TWh": 0.09, + "total_TWh": 7.32, + "wind_TWh": 0.0, "year": 2021 }, "ASM": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 687.5, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "American Samoa", - "fossil_Twh": 0.16, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.0, + "fossil_TWh": 0.16, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.0, "iso_code": "ASM", - "low_carbon_Twh": 0.0, - "nuclear_Twh": 0.0, - "oil_Twh": 0.16, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 3551.136, - "renewables_Twh": 0.0, - "solar_Twh": 0.0, - "total_Twh": 3551.4559999999997, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.0, + "nuclear_TWh": 0.0, + "oil_TWh": 0.16, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 3551.136, + "renewables_TWh": 0.0, + "solar_TWh": 0.0, + "total_TWh": 0.16, + "wind_TWh": 0.0, "year": 2021 }, "ATG": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 657.143, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Antigua and Barbuda", - "fossil_Twh": 0.33, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.0, + "fossil_TWh": 0.33, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.0, "iso_code": "ATG", - "low_carbon_Twh": 0.02, - "nuclear_Twh": 0.0, - "oil_Twh": 0.33, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 3754.197, - "renewables_Twh": 0.02, - "solar_Twh": 0.02, - "total_Twh": 3754.917, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.02, + "nuclear_TWh": 0.0, + "oil_TWh": 0.33, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 3754.197, + "renewables_TWh": 0.02, + "solar_TWh": 0.02, + "total_TWh": 0.35000000000000003, + "wind_TWh": 0.0, "year": 2021 }, "AUS": { - "biofuel_Twh": 3.09, + "biofuel_TWh": 3.09, "carbon_intensity": 531.247, - "coal_Twh": 126.79, + "coal_TWh": 126.79, "country_name": "Australia", - "fossil_Twh": 175.08, - "gaz_Twh": 43.95, - "hydroelectricity_Twh": 14.76, + "fossil_TWh": 175.08, + "gas_TWh": 43.95, + "hydroelectricity_TWh": 14.76, "iso_code": "AUS", - "low_carbon_Twh": 71.98, - "nuclear_Twh": 0.0, - "oil_Twh": 4.34, - "other_renewable_Twh": 3.09, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 9531.233, - "renewables_Twh": 71.98, - "solar_Twh": 28.04, - "total_Twh": 10100.423, - "wind_Twh": 26.09, + "low_carbon_TWh": 71.98, + "nuclear_TWh": 0.0, + "oil_TWh": 4.34, + "other_renewable_TWh": 3.09, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 9531.233, + "renewables_TWh": 71.98, + "solar_TWh": 28.04, + "total_TWh": 247.06, + "wind_TWh": 26.09, "year": 2021 }, "AUT": { - "biofuel_Twh": 4.03, - "carbon_intensity": 91.006, - "coal_Twh": 0.24, + "biofuel_TWh": 4.48, + "carbon_intensity": 147.573, + "coal_TWh": 0.14, "country_name": "Austria", - "fossil_Twh": 14.48, - "gaz_Twh": 10.84, - "hydroelectricity_Twh": 39.69, + "fossil_TWh": 14.2, + "gas_TWh": 10.62, + "hydroelectricity_TWh": 38.75, "iso_code": "AUT", - "low_carbon_Twh": 51.45, - "nuclear_Twh": 0.0, - "oil_Twh": 3.4, - "other_renewable_Twh": 4.03, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 7389.527, - "renewables_Twh": 51.45, - "solar_Twh": 1.25, - "total_Twh": 7576.866999999999, - "wind_Twh": 6.48, + "low_carbon_TWh": 52.75, + "nuclear_TWh": 0.0, + "oil_TWh": 3.44, + "other_renewable_TWh": 4.48, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 7503.85, + "renewables_TWh": 52.75, + "solar_TWh": 2.78, + "total_TWh": 66.95, + "wind_TWh": 6.74, "year": 2021 }, "AZE": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 532.902, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Azerbaijan", - "fossil_Twh": 24.87, - "gaz_Twh": 16.36, - "hydroelectricity_Twh": 1.28, + "fossil_TWh": 24.87, + "gas_TWh": 16.36, + "hydroelectricity_TWh": 1.28, "iso_code": "AZE", - "low_carbon_Twh": 1.42, - "nuclear_Twh": 0.0, - "oil_Twh": 8.51, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 2549.212, - "renewables_Twh": 1.42, - "solar_Twh": 0.05, - "total_Twh": 2603.2120000000004, - "wind_Twh": 0.09, + "low_carbon_TWh": 1.42, + "nuclear_TWh": 0.0, + "oil_TWh": 8.51, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 2549.212, + "renewables_TWh": 1.42, + "solar_TWh": 0.05, + "total_TWh": 26.29, + "wind_TWh": 0.09, "year": 2021 }, "BDI": { - "biofuel_Twh": 0.01, + "biofuel_TWh": 0.01, "carbon_intensity": 250.0, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Burundi", - "fossil_Twh": 0.12, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.22, + "fossil_TWh": 0.12, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.22, "iso_code": "BDI", - "low_carbon_Twh": 0.24, - "nuclear_Twh": 0.0, - "oil_Twh": 0.12, - "other_renewable_Twh": 0.01, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 28.682, - "renewables_Twh": 0.24, - "solar_Twh": 0.01, - "total_Twh": 29.651999999999997, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.24, + "nuclear_TWh": 0.0, + "oil_TWh": 0.12, + "other_renewable_TWh": 0.01, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 28.682, + "renewables_TWh": 0.24, + "solar_TWh": 0.01, + "total_TWh": 0.36, + "wind_TWh": 0.0, "year": 2021 }, "BEL": { - "biofuel_Twh": 5.05, - "carbon_intensity": 142.697, - "coal_Twh": 0.09, + "biofuel_TWh": 4.69, + "carbon_intensity": 156.922, + "coal_TWh": 0.04, "country_name": "Belgium", - "fossil_Twh": 24.85, - "gaz_Twh": 21.14, - "hydroelectricity_Twh": 0.37, + "fossil_TWh": 25.97, + "gas_TWh": 22.52, + "hydroelectricity_TWh": 0.42, "iso_code": "BEL", - "low_carbon_Twh": 73.26, - "nuclear_Twh": 50.03, - "oil_Twh": 3.62, - "other_renewable_Twh": 5.05, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 8449.443, - "renewables_Twh": 23.23, - "solar_Twh": 5.41, - "total_Twh": 8623.912999999999, - "wind_Twh": 12.4, + "low_carbon_TWh": 73.06, + "nuclear_TWh": 50.33, + "oil_TWh": 3.41, + "other_renewable_TWh": 4.69, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 8528.676, + "renewables_TWh": 22.73, + "solar_TWh": 5.62, + "total_TWh": 99.03, + "wind_TWh": 12.0, "year": 2021 }, "BEN": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 666.667, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Benin", - "fossil_Twh": 0.23, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.0, + "fossil_TWh": 0.23, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.0, "iso_code": "BEN", - "low_carbon_Twh": 0.01, - "nuclear_Twh": 0.0, - "oil_Twh": 0.23, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 18.466, - "renewables_Twh": 0.01, - "solar_Twh": 0.01, - "total_Twh": 18.956, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.01, + "nuclear_TWh": 0.0, + "oil_TWh": 0.23, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 18.466, + "renewables_TWh": 0.01, + "solar_TWh": 0.01, + "total_TWh": 0.24000000000000002, + "wind_TWh": 0.0, "year": 2021 }, "BFA": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 611.429, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Burkina Faso", - "fossil_Twh": 1.52, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.11, + "fossil_TWh": 1.52, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.11, "iso_code": "BFA", - 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"low_carbon_Twh": 86.96, - "nuclear_Twh": 0.0, - "oil_Twh": 0.24, - "other_renewable_Twh": 0.18, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 2501.128, - "renewables_Twh": 86.96, - "solar_Twh": 11.68, - "total_Twh": 3075.828, - "wind_Twh": 1.1, + "low_carbon_TWh": 104.22, + "nuclear_TWh": 0.0, + "oil_TWh": 0.21, + "other_renewable_TWh": 0.158, + "other_renewable_exc_biofuel_TWh": NaN, + "per_capita_Wh": 2511.285, + "renewables_TWh": 104.22, + "solar_TWh": 25.77, + "total_TWh": 244.77, + "wind_TWh": 2.39, "year": 2021 }, "VUT": { - "biofuel_Twh": 0.01, + "biofuel_TWh": 0.01, "carbon_intensity": 571.429, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Vanuatu", - "fossil_Twh": 0.05, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.0, + "fossil_TWh": 0.05, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.0, "iso_code": "VUT", - "low_carbon_Twh": 0.02, - "nuclear_Twh": 0.0, - "oil_Twh": 0.05, - "other_renewable_Twh": 0.01, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 219.335, - "renewables_Twh": 0.02, - "solar_Twh": 0.01, - "total_Twh": 219.505, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.02, + "nuclear_TWh": 0.0, + "oil_TWh": 0.05, + "other_renewable_TWh": 0.01, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 219.335, + "renewables_TWh": 0.02, + "solar_TWh": 0.01, + "total_TWh": 0.07, + "wind_TWh": 0.0, "year": 2021 }, "WSM": { - "biofuel_Twh": 0.0, + "biofuel_TWh": 0.0, "carbon_intensity": 470.588, - "coal_Twh": 0.0, + "coal_TWh": 0.0, "country_name": "Samoa", - "fossil_Twh": 0.11, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 0.04, + "fossil_TWh": 0.11, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 0.04, "iso_code": "WSM", - "low_carbon_Twh": 0.06, - "nuclear_Twh": 0.0, - "oil_Twh": 0.11, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 777.033, - "renewables_Twh": 0.06, - "solar_Twh": 0.02, - "total_Twh": 777.4329999999999, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.06, + "nuclear_TWh": 0.0, + "oil_TWh": 0.11, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 777.033, + "renewables_TWh": 0.06, + "solar_TWh": 0.02, + "total_TWh": 0.16999999999999998, + "wind_TWh": 0.0, "year": 2021 }, "YEM": { - "biofuel_Twh": 0.0, - "carbon_intensity": 528.409, - "coal_Twh": 0.0, + "biofuel_TWh": 0.0, + "carbon_intensity": 543.909, + "coal_TWh": 0.0, "country_name": "Yemen", - "fossil_Twh": 2.92, - "gaz_Twh": 1.01, - "hydroelectricity_Twh": 0.0, + "fossil_TWh": 2.93, + "gas_TWh": 0.74, + "hydroelectricity_TWh": 0.0, "iso_code": "YEM", - "low_carbon_Twh": 0.6, - "nuclear_Twh": 0.0, - "oil_Twh": 1.91, - "other_renewable_Twh": 0.0, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 106.726, - "renewables_Twh": 0.6, - "solar_Twh": 0.6, - "total_Twh": 114.36599999999999, - "wind_Twh": 0.0, + "low_carbon_TWh": 0.6, + "nuclear_TWh": 0.0, + "oil_TWh": 2.19, + "other_renewable_TWh": 0.0, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 107.029, + "renewables_TWh": 0.6, + "solar_TWh": 0.6, + "total_TWh": 3.5300000000000002, + "wind_TWh": 0.0, "year": 2021 }, "ZAF": { - "biofuel_Twh": 0.4, + "biofuel_TWh": 0.4, "carbon_intensity": 715.681, - "coal_Twh": 192.73, + "coal_TWh": 192.73, "country_name": "South Africa", - "fossil_Twh": 194.17, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 1.47, + "fossil_TWh": 194.17, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 1.47, "iso_code": "ZAF", - "low_carbon_Twh": 29.03, - "nuclear_Twh": 12.15, - "oil_Twh": 1.44, - "other_renewable_Twh": 0.4, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 3758.066, - "renewables_Twh": 16.88, - "solar_Twh": 6.65, - "total_Twh": 4209.595999999999, - "wind_Twh": 8.36, + "low_carbon_TWh": 29.03, + "nuclear_TWh": 12.15, + "oil_TWh": 1.44, + "other_renewable_TWh": 0.4, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 3758.066, + "renewables_TWh": 16.88, + "solar_TWh": 6.65, + "total_TWh": 223.2, + "wind_TWh": 8.36, "year": 2021 }, "ZMB": { - "biofuel_Twh": 0.11, + "biofuel_TWh": 0.11, "carbon_intensity": 84.698, - "coal_Twh": 0.88, + "coal_TWh": 0.87, "country_name": "Zambia", - "fossil_Twh": 1.38, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 16.07, + "fossil_TWh": 1.38, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 16.07, "iso_code": "ZMB", - "low_carbon_Twh": 16.33, - "nuclear_Twh": 0.0, - "oil_Twh": 0.5, - "other_renewable_Twh": 0.11, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 909.458, - "renewables_Twh": 16.33, - "solar_Twh": 0.15, - "total_Twh": 961.3180000000001, - "wind_Twh": 0.0, + "low_carbon_TWh": 16.33, + "nuclear_TWh": 0.0, + "oil_TWh": 0.51, + "other_renewable_TWh": 0.11, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 909.458, + "renewables_TWh": 16.33, + "solar_TWh": 0.15, + "total_TWh": 17.709999999999997, + "wind_TWh": 0.0, "year": 2021 }, "ZWE": { - "biofuel_Twh": 0.38, - "carbon_intensity": 393.035, - "coal_Twh": 3.58, + "biofuel_TWh": 0.38, + "carbon_intensity": 392.279, + "coal_TWh": 3.57, "country_name": "Zimbabwe", - "fossil_Twh": 3.62, - "gaz_Twh": 0.0, - "hydroelectricity_Twh": 4.0, + "fossil_TWh": 3.61, + "gas_TWh": 0.0, + "hydroelectricity_TWh": 4.0, "iso_code": "ZWE", - "low_carbon_Twh": 4.42, - "nuclear_Twh": 0.0, - "oil_Twh": 0.04, - "other_renewable_Twh": 0.38, - "other_renewable_exc_biofuel_Twh": 0.0, - "per_capita_Twh": 502.703, - "renewables_Twh": 4.42, - "solar_Twh": 0.04, - "total_Twh": 523.583, - "wind_Twh": 0.0, + "low_carbon_TWh": 4.42, + "nuclear_TWh": 0.0, + "oil_TWh": 0.04, + "other_renewable_TWh": 0.38, + "other_renewable_exc_biofuel_TWh": 0.0, + "per_capita_Wh": 502.078, + "renewables_TWh": 4.42, + "solar_TWh": 0.04, + "total_TWh": 8.03, + "wind_TWh": 0.0, "year": 2021 } } \ No newline at end of file diff --git a/codecarbon/data/private_infra/our_world_in_data-2021_data.ipynb b/codecarbon/data/private_infra/our_world_in_data-2021_data.ipynb index 6f9935989..4929e72c9 100644 --- a/codecarbon/data/private_infra/our_world_in_data-2021_data.ipynb +++ b/codecarbon/data/private_infra/our_world_in_data-2021_data.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", "id": "c7370033-e883-4810-a885-9a61acae671d", "metadata": {}, @@ -76,122 +77,122 @@ " \n", " \n", " 0\n", - " Afghanistan\n", - " 1900\n", - " AFG\n", - " 4832414.0\n", + " ASEAN (Ember)\n", + " 2000\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", - " NaN\n", " NaN\n", " NaN\n", + " ...\n", + " 0.000\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", + " 0.0\n", " NaN\n", + " 0.0\n", " NaN\n", " \n", " \n", " 1\n", - " Afghanistan\n", - " 1901\n", - " AFG\n", - " 4879685.0\n", + " ASEAN (Ember)\n", + " 2001\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", - " NaN\n", " NaN\n", " NaN\n", + " ...\n", + " 0.000\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", + " 0.0\n", " NaN\n", + " 0.0\n", " NaN\n", " \n", " \n", " 2\n", - " Afghanistan\n", - " 1902\n", - " AFG\n", - " 4935122.0\n", + " ASEAN (Ember)\n", + " 2002\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", - " NaN\n", " NaN\n", " NaN\n", + " ...\n", + " 0.000\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", + " 0.0\n", " NaN\n", + " 0.0\n", " NaN\n", " \n", " \n", " 3\n", - " Afghanistan\n", - " 1903\n", - " AFG\n", - " 4998861.0\n", - " NaN\n", + " ASEAN (Ember)\n", + " 2003\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", " NaN\n", " NaN\n", " NaN\n", + " ...\n", + " 0.000\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", + " 0.0\n", " NaN\n", + " 0.0\n", " NaN\n", " \n", " \n", " 4\n", - " Afghanistan\n", - " 1904\n", - " AFG\n", - " 5063419.0\n", - " NaN\n", + " ASEAN (Ember)\n", + " 2004\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", - " ...\n", " NaN\n", " NaN\n", " NaN\n", + " ...\n", + " 0.000\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", " NaN\n", + " 0.0\n", " NaN\n", + " 0.0\n", " NaN\n", " \n", " \n", @@ -219,31 +220,7 @@ " ...\n", " \n", " \n", - " 22550\n", - " Zimbabwe\n", - " 2017\n", - " ZWE\n", - " 14751101.0\n", - " 2.194784e+10\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 21.693\n", - " ...\n", - " 0.136\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " 0.0\n", - " 0.0\n", - " NaN\n", - " 0.0\n", - " NaN\n", - " \n", - " \n", - " 22551\n", + " 22007\n", " Zimbabwe\n", " 2018\n", " ZWE\n", @@ -267,7 +244,7 @@ " NaN\n", " \n", " \n", - " 22552\n", + " 22008\n", " Zimbabwe\n", " 2019\n", " ZWE\n", @@ -291,7 +268,7 @@ " NaN\n", " \n", " \n", - " 22553\n", + " 22009\n", " Zimbabwe\n", " 2020\n", " ZWE\n", @@ -315,7 +292,7 @@ " NaN\n", " \n", " \n", - " 22554\n", + " 22010\n", " Zimbabwe\n", " 2021\n", " ZWE\n", @@ -338,24 +315,48 @@ " 0.0\n", " NaN\n", " \n", + " \n", + " 22011\n", + " Zimbabwe\n", + " 2022\n", + " ZWE\n", + " 16320539.0\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " ...\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " \n", " \n", "\n", - "

22555 rows × 129 columns

\n", + "

22012 rows × 129 columns

\n", "" ], "text/plain": [ - " country year iso_code population gdp \\\n", - "0 Afghanistan 1900 AFG 4832414.0 NaN \n", - "1 Afghanistan 1901 AFG 4879685.0 NaN \n", - "2 Afghanistan 1902 AFG 4935122.0 NaN \n", - "3 Afghanistan 1903 AFG 4998861.0 NaN \n", - "4 Afghanistan 1904 AFG 5063419.0 NaN \n", - "... ... ... ... ... ... \n", - "22550 Zimbabwe 2017 ZWE 14751101.0 2.194784e+10 \n", - "22551 Zimbabwe 2018 ZWE 15052191.0 2.271535e+10 \n", - "22552 Zimbabwe 2019 ZWE 15354606.0 NaN \n", - "22553 Zimbabwe 2020 ZWE 15669663.0 NaN \n", - "22554 Zimbabwe 2021 ZWE 15993525.0 NaN \n", + " country year iso_code population gdp \\\n", + "0 ASEAN (Ember) 2000 NaN NaN NaN \n", + "1 ASEAN (Ember) 2001 NaN NaN NaN \n", + "2 ASEAN (Ember) 2002 NaN NaN NaN \n", + "3 ASEAN (Ember) 2003 NaN NaN NaN \n", + "4 ASEAN (Ember) 2004 NaN NaN NaN \n", + "... ... ... ... ... ... \n", + "22007 Zimbabwe 2018 ZWE 15052191.0 2.271535e+10 \n", + "22008 Zimbabwe 2019 ZWE 15354606.0 NaN \n", + "22009 Zimbabwe 2020 ZWE 15669663.0 NaN \n", + "22010 Zimbabwe 2021 ZWE 15993525.0 NaN \n", + "22011 Zimbabwe 2022 ZWE 16320539.0 NaN \n", "\n", " biofuel_cons_change_pct biofuel_cons_change_twh \\\n", "0 NaN NaN \n", @@ -364,11 +365,11 @@ "3 NaN NaN \n", "4 NaN NaN \n", "... ... ... \n", - "22550 NaN NaN \n", - "22551 NaN NaN \n", - "22552 NaN NaN \n", - "22553 NaN NaN \n", - "22554 NaN NaN \n", + "22007 NaN NaN \n", + "22008 NaN NaN \n", + "22009 NaN NaN \n", + "22010 NaN NaN \n", + "22011 NaN NaN \n", "\n", " biofuel_cons_per_capita biofuel_consumption biofuel_elec_per_capita \\\n", "0 NaN NaN NaN \n", @@ -377,24 +378,24 @@ "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "... ... ... ... \n", - "22550 NaN NaN 21.693 \n", - "22551 NaN NaN 25.910 \n", - "22552 NaN NaN 24.748 \n", - "22553 NaN NaN 22.336 \n", - "22554 NaN NaN 23.760 \n", + "22007 NaN NaN 25.910 \n", + "22008 NaN NaN 24.748 \n", + "22009 NaN NaN 22.336 \n", + "22010 NaN NaN 23.760 \n", + "22011 NaN NaN NaN \n", "\n", " ... solar_share_elec solar_share_energy wind_cons_change_pct \\\n", - "0 ... NaN NaN NaN \n", - "1 ... NaN NaN NaN \n", - "2 ... NaN NaN NaN \n", - "3 ... NaN NaN NaN \n", - "4 ... NaN NaN NaN \n", + "0 ... 0.000 NaN NaN \n", + "1 ... 0.000 NaN NaN \n", + "2 ... 0.000 NaN NaN \n", + "3 ... 0.000 NaN NaN \n", + "4 ... 0.000 NaN NaN \n", "... ... ... ... ... \n", - "22550 ... 0.136 NaN NaN \n", - "22551 ... 0.218 NaN NaN \n", - "22552 ... 0.364 NaN NaN \n", - "22553 ... 0.395 NaN NaN \n", - "22554 ... 0.498 NaN NaN \n", + "22007 ... 0.218 NaN NaN \n", + "22008 ... 0.364 NaN NaN \n", + "22009 ... 0.395 NaN NaN \n", + "22010 ... 0.498 NaN NaN \n", + "22011 ... NaN NaN NaN \n", "\n", " wind_cons_change_twh wind_consumption wind_elec_per_capita \\\n", "0 NaN NaN NaN \n", @@ -403,24 +404,24 @@ "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "... ... ... ... \n", - "22550 NaN NaN 0.0 \n", - "22551 NaN NaN 0.0 \n", - "22552 NaN NaN 0.0 \n", - "22553 NaN NaN 0.0 \n", - "22554 NaN NaN 0.0 \n", + "22007 NaN NaN 0.0 \n", + "22008 NaN NaN 0.0 \n", + "22009 NaN NaN 0.0 \n", + "22010 NaN NaN 0.0 \n", + "22011 NaN NaN NaN \n", "\n", " wind_electricity wind_energy_per_capita wind_share_elec \\\n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "3 NaN NaN NaN \n", - "4 NaN NaN NaN \n", + "0 0.0 NaN 0.0 \n", + "1 0.0 NaN 0.0 \n", + "2 0.0 NaN 0.0 \n", + "3 0.0 NaN 0.0 \n", + "4 0.0 NaN 0.0 \n", "... ... ... ... \n", - "22550 0.0 NaN 0.0 \n", - "22551 0.0 NaN 0.0 \n", - "22552 0.0 NaN 0.0 \n", - "22553 0.0 NaN 0.0 \n", - "22554 0.0 NaN 0.0 \n", + "22007 0.0 NaN 0.0 \n", + "22008 0.0 NaN 0.0 \n", + "22009 0.0 NaN 0.0 \n", + "22010 0.0 NaN 0.0 \n", + "22011 NaN NaN NaN \n", "\n", " wind_share_energy \n", "0 NaN \n", @@ -429,13 +430,13 @@ "3 NaN \n", "4 NaN \n", "... ... \n", - "22550 NaN \n", - "22551 NaN \n", - "22552 NaN \n", - "22553 NaN \n", - "22554 NaN \n", + "22007 NaN \n", + "22008 NaN \n", + "22009 NaN \n", + "22010 NaN \n", + "22011 NaN \n", "\n", - "[22555 rows x 129 columns]" + "[22012 rows x 129 columns]" ] }, "execution_count": 2, @@ -500,11 +501,11 @@ " \n", " \n", " \n", - " 9150\n", + " 9166\n", " India\n", " 1900\n", " IND\n", - " 2.919791e+08\n", + " 2.807142e+08\n", " 2.716975e+11\n", " NaN\n", " NaN\n", @@ -524,11 +525,11 @@ " NaN\n", " \n", " \n", - " 9151\n", + " 9167\n", " India\n", " 1901\n", " IND\n", - " 2.933739e+08\n", + " 2.818341e+08\n", " 2.773278e+11\n", " NaN\n", " NaN\n", @@ -548,11 +549,11 @@ " NaN\n", " \n", " \n", - " 9152\n", + " 9168\n", " India\n", " 1902\n", " IND\n", - " 2.950267e+08\n", + " 2.831998e+08\n", " 3.006720e+11\n", " NaN\n", " NaN\n", @@ -572,11 +573,11 @@ " NaN\n", " \n", " \n", - " 9153\n", + " 9169\n", " India\n", " 1903\n", " IND\n", - " 2.969399e+08\n", + " 2.848130e+08\n", " 3.047644e+11\n", " NaN\n", " NaN\n", @@ -596,11 +597,11 @@ " NaN\n", " \n", " \n", - " 9154\n", + " 9170\n", " India\n", " 1904\n", " IND\n", - " 2.988655e+08\n", + " 2.864353e+08\n", " 3.060750e+11\n", " NaN\n", " NaN\n", @@ -644,44 +645,20 @@ " ...\n", " \n", " \n", - " 9267\n", - " India\n", - " 2017\n", - " IND\n", - " 1.354196e+09\n", - " 8.275647e+12\n", - " -11.994\n", - " -2.077\n", - " 11.251\n", - " 15.237\n", - " 18.395\n", - " ...\n", - " 1.464\n", - " 0.659\n", - " 21.119\n", - " 23.737\n", - " 140.062\n", - " 38.864\n", - " 52.63\n", - " 103.428\n", - " 3.577\n", - " 1.610\n", - " \n", - " \n", - " 9268\n", + " 9284\n", " India\n", " 2018\n", " IND\n", " 1.369003e+09\n", " 8.835758e+12\n", - " 33.957\n", - " 5.174\n", - " 14.909\n", - " 20.410\n", + " 33.945\n", + " 5.170\n", + " 14.902\n", + " 20.401\n", " 19.883\n", " ...\n", " 2.301\n", - " 1.038\n", + " 1.058\n", " 14.596\n", " 19.505\n", " 159.567\n", @@ -689,23 +666,23 @@ " 60.31\n", " 116.557\n", " 3.820\n", - " 1.723\n", + " 1.757\n", " \n", " \n", - " 9269\n", + " 9285\n", " India\n", " 2019\n", " IND\n", " 1.383112e+09\n", " NaN\n", - " 11.677\n", - " 2.383\n", - " 16.480\n", - " 22.794\n", + " 11.529\n", + " 2.352\n", + " 16.451\n", + " 22.753\n", " 22.782\n", " ...\n", " 2.853\n", - " 1.286\n", + " 1.310\n", " 4.979\n", " 7.327\n", " 166.895\n", @@ -713,23 +690,23 @@ " 63.31\n", " 120.666\n", " 3.903\n", - " 1.759\n", + " 1.792\n", " \n", " \n", - " 9270\n", + " 9286\n", " India\n", " 2020\n", " IND\n", " 1.396387e+09\n", " NaN\n", - " -2.910\n", - " -0.663\n", - " 15.848\n", - " 22.130\n", + " -1.031\n", + " -0.235\n", + " 16.126\n", + " 22.518\n", " 23.589\n", " ...\n", " 3.755\n", - " 1.724\n", + " 1.747\n", " -4.560\n", " -8.195\n", " 158.700\n", @@ -737,23 +714,23 @@ " 60.43\n", " 113.650\n", " 3.867\n", - " 1.775\n", + " 1.799\n", " \n", " \n", - " 9271\n", + " 9287\n", " India\n", " 2021\n", " IND\n", " 1.407564e+09\n", " NaN\n", - " 20.318\n", - " 4.496\n", - " 18.917\n", - " 26.627\n", + " 39.907\n", + " 8.986\n", + " 22.382\n", + " 31.505\n", " 25.200\n", " ...\n", " 3.986\n", - " 1.816\n", + " 1.865\n", " 12.688\n", " 19.481\n", " 178.181\n", @@ -761,106 +738,130 @@ " 68.09\n", " 126.588\n", " 3.973\n", - " 1.811\n", + " 1.859\n", + " \n", + " \n", + " 9288\n", + " India\n", + " 2022\n", + " IND\n", + " 1.417173e+09\n", + " NaN\n", + " 14.897\n", + " 4.693\n", + " 25.542\n", + " 36.198\n", + " 25.755\n", + " ...\n", + " 5.178\n", + " 2.451\n", + " 2.865\n", + " 4.437\n", + " 182.617\n", + " 49.429\n", + " 70.05\n", + " 128.860\n", + " 3.811\n", + " 1.804\n", " \n", " \n", "\n", - "

122 rows × 129 columns

\n", + "

123 rows × 129 columns

\n", "" ], "text/plain": [ " country year iso_code population gdp \\\n", - "9150 India 1900 IND 2.919791e+08 2.716975e+11 \n", - "9151 India 1901 IND 2.933739e+08 2.773278e+11 \n", - "9152 India 1902 IND 2.950267e+08 3.006720e+11 \n", - "9153 India 1903 IND 2.969399e+08 3.047644e+11 \n", - "9154 India 1904 IND 2.988655e+08 3.060750e+11 \n", + "9166 India 1900 IND 2.807142e+08 2.716975e+11 \n", + "9167 India 1901 IND 2.818341e+08 2.773278e+11 \n", + "9168 India 1902 IND 2.831998e+08 3.006720e+11 \n", + "9169 India 1903 IND 2.848130e+08 3.047644e+11 \n", + "9170 India 1904 IND 2.864353e+08 3.060750e+11 \n", "... ... ... ... ... ... \n", - "9267 India 2017 IND 1.354196e+09 8.275647e+12 \n", - "9268 India 2018 IND 1.369003e+09 8.835758e+12 \n", - "9269 India 2019 IND 1.383112e+09 NaN \n", - "9270 India 2020 IND 1.396387e+09 NaN \n", - "9271 India 2021 IND 1.407564e+09 NaN \n", + "9284 India 2018 IND 1.369003e+09 8.835758e+12 \n", + "9285 India 2019 IND 1.383112e+09 NaN \n", + "9286 India 2020 IND 1.396387e+09 NaN \n", + "9287 India 2021 IND 1.407564e+09 NaN \n", + "9288 India 2022 IND 1.417173e+09 NaN \n", "\n", " biofuel_cons_change_pct biofuel_cons_change_twh \\\n", - "9150 NaN NaN \n", - "9151 NaN NaN \n", - "9152 NaN NaN \n", - "9153 NaN NaN \n", - "9154 NaN NaN \n", + "9166 NaN NaN \n", + "9167 NaN NaN \n", + "9168 NaN NaN \n", + "9169 NaN NaN \n", + "9170 NaN NaN \n", "... ... ... \n", - "9267 -11.994 -2.077 \n", - "9268 33.957 5.174 \n", - "9269 11.677 2.383 \n", - "9270 -2.910 -0.663 \n", - "9271 20.318 4.496 \n", + "9284 33.945 5.170 \n", + "9285 11.529 2.352 \n", + "9286 -1.031 -0.235 \n", + "9287 39.907 8.986 \n", + "9288 14.897 4.693 \n", "\n", " biofuel_cons_per_capita biofuel_consumption biofuel_elec_per_capita \\\n", - "9150 NaN NaN NaN \n", - "9151 NaN NaN NaN \n", - "9152 NaN NaN NaN \n", - "9153 NaN NaN NaN \n", - "9154 NaN NaN NaN \n", + "9166 NaN NaN NaN \n", + "9167 NaN NaN NaN \n", + "9168 NaN NaN NaN \n", + "9169 NaN NaN NaN \n", + "9170 NaN NaN NaN \n", "... ... ... ... \n", - "9267 11.251 15.237 18.395 \n", - "9268 14.909 20.410 19.883 \n", - "9269 16.480 22.794 22.782 \n", - "9270 15.848 22.130 23.589 \n", - "9271 18.917 26.627 25.200 \n", + "9284 14.902 20.401 19.883 \n", + "9285 16.451 22.753 22.782 \n", + "9286 16.126 22.518 23.589 \n", + "9287 22.382 31.505 25.200 \n", + "9288 25.542 36.198 25.755 \n", "\n", " ... solar_share_elec solar_share_energy wind_cons_change_pct \\\n", - "9150 ... NaN NaN NaN \n", - "9151 ... NaN NaN NaN \n", - "9152 ... NaN NaN NaN \n", - "9153 ... NaN NaN NaN \n", - "9154 ... NaN NaN NaN \n", + "9166 ... NaN NaN NaN \n", + "9167 ... NaN NaN NaN \n", + "9168 ... NaN NaN NaN \n", + "9169 ... NaN NaN NaN \n", + "9170 ... NaN NaN NaN \n", "... ... ... ... ... \n", - "9267 ... 1.464 0.659 21.119 \n", - "9268 ... 2.301 1.038 14.596 \n", - "9269 ... 2.853 1.286 4.979 \n", - "9270 ... 3.755 1.724 -4.560 \n", - "9271 ... 3.986 1.816 12.688 \n", + "9284 ... 2.301 1.058 14.596 \n", + "9285 ... 2.853 1.310 4.979 \n", + "9286 ... 3.755 1.747 -4.560 \n", + "9287 ... 3.986 1.865 12.688 \n", + "9288 ... 5.178 2.451 2.865 \n", "\n", " wind_cons_change_twh wind_consumption wind_elec_per_capita \\\n", - "9150 NaN NaN NaN \n", - "9151 NaN NaN NaN \n", - "9152 NaN NaN NaN \n", - "9153 NaN NaN NaN \n", - "9154 NaN NaN NaN \n", + "9166 NaN NaN NaN \n", + "9167 NaN NaN NaN \n", + "9168 NaN NaN NaN \n", + "9169 NaN NaN NaN \n", + "9170 NaN NaN NaN \n", "... ... ... ... \n", - "9267 23.737 140.062 38.864 \n", - "9268 19.505 159.567 44.054 \n", - "9269 7.327 166.895 45.774 \n", - "9270 -8.195 158.700 43.276 \n", - "9271 19.481 178.181 48.374 \n", + "9284 19.505 159.567 44.054 \n", + "9285 7.327 166.895 45.774 \n", + "9286 -8.195 158.700 43.276 \n", + "9287 19.481 178.181 48.374 \n", + "9288 4.437 182.617 49.429 \n", "\n", " wind_electricity wind_energy_per_capita wind_share_elec \\\n", - "9150 NaN NaN NaN \n", - "9151 NaN NaN NaN \n", - "9152 NaN NaN NaN \n", - "9153 NaN NaN NaN \n", - "9154 NaN NaN NaN \n", + "9166 NaN NaN NaN \n", + "9167 NaN NaN NaN \n", + "9168 NaN NaN NaN \n", + "9169 NaN NaN NaN \n", + "9170 NaN NaN NaN \n", "... ... ... ... \n", - "9267 52.63 103.428 3.577 \n", - "9268 60.31 116.557 3.820 \n", - "9269 63.31 120.666 3.903 \n", - "9270 60.43 113.650 3.867 \n", - "9271 68.09 126.588 3.973 \n", + "9284 60.31 116.557 3.820 \n", + "9285 63.31 120.666 3.903 \n", + "9286 60.43 113.650 3.867 \n", + "9287 68.09 126.588 3.973 \n", + "9288 70.05 128.860 3.811 \n", "\n", " wind_share_energy \n", - "9150 NaN \n", - "9151 NaN \n", - "9152 NaN \n", - "9153 NaN \n", - "9154 NaN \n", + "9166 NaN \n", + "9167 NaN \n", + "9168 NaN \n", + "9169 NaN \n", + "9170 NaN \n", "... ... \n", - "9267 1.610 \n", - "9268 1.723 \n", - "9269 1.759 \n", - "9270 1.775 \n", - "9271 1.811 \n", + "9284 1.757 \n", + "9285 1.792 \n", + "9286 1.799 \n", + "9287 1.859 \n", + "9288 1.804 \n", "\n", - "[122 rows x 129 columns]" + "[123 rows x 129 columns]" ] }, "execution_count": 3, @@ -954,25 +955,25 @@ " \n", " \n", " \n", - " 7274\n", + " 7353\n", " France\n", " FRA\n", " 2021\n", - " 58.034\n", - " 8.67\n", - " 6.1\n", - " 50.62\n", - " 33.92\n", - " 59.12\n", - " 500.78\n", - " 380.68\n", - " 10.6\n", - " 9.28\n", - " 0.61\n", - " 8544.672\n", - " 120.1\n", - " 14.52\n", - " 37.18\n", + " 67.39\n", + " 9.6\n", + " 5.44\n", + " 48.66\n", + " 33.36\n", + " 59.62\n", + " 501.72\n", + " 379.36\n", + " 9.86\n", + " 10.18\n", + " 0.58\n", + " 8528.864\n", + " 122.36\n", + " 15.73\n", + " 36.83\n", " \n", " \n", "\n", @@ -980,22 +981,22 @@ ], "text/plain": [ " country iso_code year carbon_intensity_elec biofuel_electricity \\\n", - "7274 France FRA 2021 58.034 8.67 \n", + "7353 France FRA 2021 67.39 9.6 \n", "\n", " coal_electricity fossil_electricity gas_electricity \\\n", - "7274 6.1 50.62 33.92 \n", + "7353 5.44 48.66 33.36 \n", "\n", " hydro_electricity low_carbon_electricity nuclear_electricity \\\n", - "7274 59.12 500.78 380.68 \n", + "7353 59.62 501.72 379.36 \n", "\n", " oil_electricity other_renewable_electricity \\\n", - "7274 10.6 9.28 \n", + "7353 9.86 10.18 \n", "\n", " other_renewable_exc_biofuel_electricity per_capita_electricity \\\n", - "7274 0.61 8544.672 \n", + "7353 0.58 8528.864 \n", "\n", " renewables_electricity solar_electricity wind_electricity \n", - "7274 120.1 14.52 37.18 " + "7353 122.36 15.73 36.83 " ] }, "execution_count": 6, @@ -1038,25 +1039,25 @@ " iso_code\n", " year\n", " carbon_intensity\n", - " fossil_Twh\n", - " renewables_Twh\n", - " per_capita_Twh\n", - " coal_Twh\n", - " gaz_Twh\n", - " oil_Twh\n", - " solar_Twh\n", - " wind_Twh\n", - " hydroelectricity_Twh\n", - " other_renewable_Twh\n", - " other_renewable_exc_biofuel_Twh\n", - " nuclear_Twh\n", - " biofuel_Twh\n", - " low_carbon_Twh\n", + " fossil_TWh\n", + " renewables_TWh\n", + " per_capita_Wh\n", + " coal_TWh\n", + " gas_TWh\n", + " oil_TWh\n", + " solar_TWh\n", + " wind_TWh\n", + " hydroelectricity_TWh\n", + " other_renewable_TWh\n", + " other_renewable_exc_biofuel_TWh\n", + " nuclear_TWh\n", + " biofuel_TWh\n", + " low_carbon_TWh\n", " \n", " \n", " \n", " \n", - " 121\n", + " 144\n", " Afghanistan\n", " AFG\n", " 2021\n", @@ -1077,17 +1078,38 @@ " 0.70\n", " \n", " \n", - " 682\n", + " 587\n", + " Albania\n", + " ALB\n", + " 2021\n", + " 23.437\n", + " 0.00\n", + " 8.96\n", + " 3138.673\n", + " 0.0\n", + " 0.00\n", + " 0.00\n", + " 0.07\n", + " 0.00\n", + " 8.89\n", + " 0.00\n", + " 0.0\n", + " 0.0\n", + " 0.00\n", + " 8.96\n", + " \n", + " \n", + " 709\n", " Algeria\n", " DZA\n", " 2021\n", - " 488.393\n", - " 76.63\n", + " 498.904\n", + " 76.62\n", " 0.91\n", - " 1755.174\n", + " 1754.947\n", " 0.0\n", - " 75.30\n", - " 1.33\n", + " 71.40\n", + " 5.22\n", " 0.81\n", " 0.01\n", " 0.09\n", @@ -1098,7 +1120,7 @@ " 0.91\n", " \n", " \n", - " 724\n", + " 752\n", " American Samoa\n", " ASM\n", " 2021\n", @@ -1119,79 +1141,58 @@ " 0.00\n", " \n", " \n", - " 846\n", + " 874\n", " Angola\n", " AGO\n", " 2021\n", - " 168.594\n", - " 4.63\n", - " 11.80\n", + " 195.983\n", + " 4.77\n", + " 11.66\n", " 476.180\n", " 0.0\n", - " 3.89\n", - " 0.74\n", + " 2.01\n", + " 2.76\n", " 0.02\n", " 0.00\n", " 11.50\n", - " 0.28\n", + " 0.14\n", " 0.0\n", " 0.0\n", - " 0.28\n", - " 11.80\n", - " \n", - " \n", - " 928\n", - " Antigua and Barbuda\n", - " ATG\n", - " 2021\n", - " 657.143\n", - " 0.33\n", - " 0.02\n", - " 3754.197\n", - " 0.0\n", - " 0.00\n", - " 0.33\n", - " 0.02\n", - " 0.00\n", - " 0.00\n", - " 0.00\n", - " 0.0\n", - " 0.0\n", - " 0.00\n", - " 0.02\n", + " 0.14\n", + " 11.66\n", " \n", " \n", "\n", "" ], "text/plain": [ - " country_name iso_code year carbon_intensity fossil_Twh \\\n", - "121 Afghanistan AFG 2021 120.482 0.13 \n", - "682 Algeria DZA 2021 488.393 76.63 \n", - "724 American Samoa ASM 2021 687.500 0.16 \n", - "846 Angola AGO 2021 168.594 4.63 \n", - "928 Antigua and Barbuda ATG 2021 657.143 0.33 \n", + " country_name iso_code year carbon_intensity fossil_TWh \\\n", + "144 Afghanistan AFG 2021 120.482 0.13 \n", + "587 Albania ALB 2021 23.437 0.00 \n", + "709 Algeria DZA 2021 498.904 76.62 \n", + "752 American Samoa ASM 2021 687.500 0.16 \n", + "874 Angola AGO 2021 195.983 4.77 \n", "\n", - " renewables_Twh per_capita_Twh coal_Twh gaz_Twh oil_Twh solar_Twh \\\n", - "121 0.70 20.699 0.0 0.00 0.13 0.08 \n", - "682 0.91 1755.174 0.0 75.30 1.33 0.81 \n", - "724 0.00 3551.136 0.0 0.00 0.16 0.00 \n", - "846 11.80 476.180 0.0 3.89 0.74 0.02 \n", - "928 0.02 3754.197 0.0 0.00 0.33 0.02 \n", + " renewables_TWh per_capita_Wh coal_TWh gas_TWh oil_TWh solar_TWh \\\n", + "144 0.70 20.699 0.0 0.00 0.13 0.08 \n", + "587 8.96 3138.673 0.0 0.00 0.00 0.07 \n", + "709 0.91 1754.947 0.0 71.40 5.22 0.81 \n", + "752 0.00 3551.136 0.0 0.00 0.16 0.00 \n", + "874 11.66 476.180 0.0 2.01 2.76 0.02 \n", "\n", - " wind_Twh hydroelectricity_Twh other_renewable_Twh \\\n", - "121 0.00 0.62 0.00 \n", - "682 0.01 0.09 0.00 \n", - "724 0.00 0.00 0.00 \n", - "846 0.00 11.50 0.28 \n", - "928 0.00 0.00 0.00 \n", + " wind_TWh hydroelectricity_TWh other_renewable_TWh \\\n", + "144 0.00 0.62 0.00 \n", + "587 0.00 8.89 0.00 \n", + "709 0.01 0.09 0.00 \n", + "752 0.00 0.00 0.00 \n", + "874 0.00 11.50 0.14 \n", "\n", - " other_renewable_exc_biofuel_Twh nuclear_Twh biofuel_Twh low_carbon_Twh \n", - "121 0.0 0.0 0.00 0.70 \n", - "682 0.0 0.0 0.00 0.91 \n", - "724 0.0 0.0 0.00 0.00 \n", - "846 0.0 0.0 0.28 11.80 \n", - "928 0.0 0.0 0.00 0.02 " + " other_renewable_exc_biofuel_TWh nuclear_TWh biofuel_TWh low_carbon_TWh \n", + "144 0.0 0.0 0.00 0.70 \n", + "587 0.0 0.0 0.00 8.96 \n", + "709 0.0 0.0 0.00 0.91 \n", + "752 0.0 0.0 0.00 0.00 \n", + "874 0.0 0.0 0.14 11.66 " ] }, "execution_count": 7, @@ -1204,40 +1205,40 @@ "columns_names = {\n", " 'country':'country_name',\n", " 'carbon_intensity_elec':'carbon_intensity',\n", - " 'biofuel_electricity':'biofuel_Twh',\n", - " 'coal_electricity':'coal_Twh',\n", - " 'fossil_electricity':'fossil_Twh',\n", - " 'gas_electricity':'gaz_Twh',\n", - " 'hydro_electricity':'hydroelectricity_Twh',\n", - " 'low_carbon_electricity':'low_carbon_Twh',\n", - " 'nuclear_electricity':'nuclear_Twh',\n", - " 'oil_electricity':'oil_Twh',\n", - " 'other_renewable_electricity':'other_renewable_Twh',\n", - " 'other_renewable_exc_biofuel_electricity':'other_renewable_exc_biofuel_Twh',\n", - " 'per_capita_electricity':'per_capita_Twh',\n", - " 'renewables_electricity':'renewables_Twh',\n", - " 'solar_electricity':'solar_Twh',\n", - " 'wind_electricity':'wind_Twh'\n", + " 'biofuel_electricity':'biofuel_TWh',\n", + " 'coal_electricity':'coal_TWh',\n", + " 'fossil_electricity':'fossil_TWh',\n", + " 'gas_electricity':'gas_TWh',\n", + " 'hydro_electricity':'hydroelectricity_TWh',\n", + " 'low_carbon_electricity':'low_carbon_TWh',\n", + " 'nuclear_electricity':'nuclear_TWh',\n", + " 'oil_electricity':'oil_TWh',\n", + " 'other_renewable_electricity':'other_renewable_TWh',\n", + " 'other_renewable_exc_biofuel_electricity':'other_renewable_exc_biofuel_TWh',\n", + " 'per_capita_electricity':'per_capita_Wh',\n", + " 'renewables_electricity':'renewables_TWh',\n", + " 'solar_electricity':'solar_TWh',\n", + " 'wind_electricity':'wind_TWh'\n", "}\n", "df_filtered.rename(columns=columns_names, inplace=True)\n", "df_filtered = df_filtered[['country_name',\n", " 'iso_code',\n", " 'year',\n", " 'carbon_intensity',\n", - " 'fossil_Twh',\n", - " 'renewables_Twh',\n", - " 'per_capita_Twh',\n", - " 'coal_Twh',\n", - " 'gaz_Twh',\n", - " 'oil_Twh',\n", - " 'solar_Twh',\n", - " 'wind_Twh',\n", - " 'hydroelectricity_Twh',\n", - " 'other_renewable_Twh',\n", - " 'other_renewable_exc_biofuel_Twh',\n", - " 'nuclear_Twh',\n", - " 'biofuel_Twh',\n", - " 'low_carbon_Twh']]\n", + " 'fossil_TWh',\n", + " 'renewables_TWh',\n", + " 'per_capita_Wh',\n", + " 'coal_TWh',\n", + " 'gas_TWh',\n", + " 'oil_TWh',\n", + " 'solar_TWh',\n", + " 'wind_TWh',\n", + " 'hydroelectricity_TWh',\n", + " 'other_renewable_TWh',\n", + " 'other_renewable_exc_biofuel_TWh',\n", + " 'nuclear_TWh',\n", + " 'biofuel_TWh',\n", + " 'low_carbon_TWh']]\n", "df_filtered.head(5)" ] }, @@ -1272,26 +1273,26 @@ " iso_code\n", " year\n", " carbon_intensity\n", - " fossil_Twh\n", - " renewables_Twh\n", - " per_capita_Twh\n", - " coal_Twh\n", - " gaz_Twh\n", - " oil_Twh\n", - " solar_Twh\n", - " wind_Twh\n", - " hydroelectricity_Twh\n", - " other_renewable_Twh\n", - " other_renewable_exc_biofuel_Twh\n", - " nuclear_Twh\n", - " biofuel_Twh\n", - " low_carbon_Twh\n", - " total_Twh\n", + " fossil_TWh\n", + " renewables_TWh\n", + " per_capita_Wh\n", + " coal_TWh\n", + " gas_TWh\n", + " oil_TWh\n", + " solar_TWh\n", + " wind_TWh\n", + " hydroelectricity_TWh\n", + " other_renewable_TWh\n", + " other_renewable_exc_biofuel_TWh\n", + " nuclear_TWh\n", + " biofuel_TWh\n", + " low_carbon_TWh\n", + " total_TWh\n", " \n", " \n", " \n", " \n", - " 121\n", + " 144\n", " Afghanistan\n", " AFG\n", " 2021\n", @@ -1303,61 +1304,61 @@ " 0.0\n", " 0.13\n", " 0.08\n", - " 0.00\n", + " 0.0\n", " 0.62\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.70\n", - " 23.059\n", + " 0.83\n", " \n", " \n", - " 682\n", - " Algeria\n", - " DZA\n", + " 587\n", + " Albania\n", + " ALB\n", " 2021\n", - " 488.393\n", - " 76.63\n", - " 0.91\n", - " 1755.174\n", + " 23.437\n", + " 0.00\n", + " 8.96\n", + " 3138.673\n", " 0.0\n", - " 75.3\n", - " 1.33\n", - " 0.81\n", - " 0.01\n", - " 0.09\n", " 0.0\n", + " 0.00\n", + " 0.07\n", " 0.0\n", + " 8.89\n", " 0.0\n", " 0.0\n", - " 0.91\n", - " 1911.164\n", + " 0.0\n", + " 0.0\n", + " 8.96\n", + " 8.96\n", " \n", " \n", "\n", "" ], "text/plain": [ - " country_name iso_code year carbon_intensity fossil_Twh renewables_Twh \\\n", - "121 Afghanistan AFG 2021 120.482 0.13 0.70 \n", - "682 Algeria DZA 2021 488.393 76.63 0.91 \n", + " country_name iso_code year carbon_intensity fossil_TWh renewables_TWh \\\n", + "144 Afghanistan AFG 2021 120.482 0.13 0.70 \n", + "587 Albania ALB 2021 23.437 0.00 8.96 \n", "\n", - " per_capita_Twh coal_Twh gaz_Twh oil_Twh solar_Twh wind_Twh \\\n", - "121 20.699 0.0 0.0 0.13 0.08 0.00 \n", - "682 1755.174 0.0 75.3 1.33 0.81 0.01 \n", + " per_capita_Wh coal_TWh gas_TWh oil_TWh solar_TWh wind_TWh \\\n", + "144 20.699 0.0 0.0 0.13 0.08 0.0 \n", + "587 3138.673 0.0 0.0 0.00 0.07 0.0 \n", "\n", - " hydroelectricity_Twh other_renewable_Twh \\\n", - "121 0.62 0.0 \n", - "682 0.09 0.0 \n", + " hydroelectricity_TWh other_renewable_TWh \\\n", + "144 0.62 0.0 \n", + "587 8.89 0.0 \n", "\n", - " other_renewable_exc_biofuel_Twh nuclear_Twh biofuel_Twh \\\n", - "121 0.0 0.0 0.0 \n", - "682 0.0 0.0 0.0 \n", + " other_renewable_exc_biofuel_TWh nuclear_TWh biofuel_TWh \\\n", + "144 0.0 0.0 0.0 \n", + "587 0.0 0.0 0.0 \n", "\n", - " low_carbon_Twh total_Twh \n", - "121 0.70 23.059 \n", - "682 0.91 1911.164 " + " low_carbon_TWh total_TWh \n", + "144 0.70 0.83 \n", + "587 8.96 8.96 " ] }, "execution_count": 8, @@ -1366,14 +1367,244 @@ } ], "source": [ - "columns_to_sum = df_filtered.columns[4:14].append(df_filtered.columns[16:18]).tolist()\n", - "df_filtered['total_Twh'] = df_filtered[columns_to_sum].sum(axis=1)\n", + "columns_to_sum = [\"fossil_TWh\", \"renewables_TWh\", \"nuclear_TWh\"]\n", + "df_filtered['total_TWh'] = df_filtered[columns_to_sum].sum(axis=1)\n", "df_filtered.head(2)" ] }, { "cell_type": "code", "execution_count": 9, + "id": "e7d87abd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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country_nameiso_codeyearcarbon_intensityfossil_TWhrenewables_TWhper_capita_Whcoal_TWhgas_TWhoil_TWhsolar_TWhwind_TWhhydroelectricity_TWhother_renewable_TWhother_renewable_exc_biofuel_TWhnuclear_TWhbiofuel_TWhlow_carbon_TWhtotal_TWh
7353FranceFRA202167.3948.66122.368528.8645.4433.369.8615.7336.8359.6210.180.58379.369.6501.72550.38
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" + ], + "text/plain": [ + " country_name iso_code year carbon_intensity fossil_TWh \\\n", + "7353 France FRA 2021 67.39 48.66 \n", + "\n", + " renewables_TWh per_capita_Wh coal_TWh gas_TWh oil_TWh solar_TWh \\\n", + "7353 122.36 8528.864 5.44 33.36 9.86 15.73 \n", + "\n", + " wind_TWh hydroelectricity_TWh other_renewable_TWh \\\n", + "7353 36.83 59.62 10.18 \n", + "\n", + " other_renewable_exc_biofuel_TWh nuclear_TWh biofuel_TWh \\\n", + "7353 0.58 379.36 9.6 \n", + "\n", + " low_carbon_TWh total_TWh \n", + "7353 501.72 550.38 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_filtered.query(\"iso_code=='FRA'\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "8c540b05", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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country_nameiso_codeyearcarbon_intensityfossil_TWhrenewables_TWhper_capita_Whcoal_TWhgas_TWhoil_TWhsolar_TWhwind_TWhhydroelectricity_TWhother_renewable_TWhother_renewable_exc_biofuel_TWhnuclear_TWhbiofuel_TWhlow_carbon_TWhtotal_TWh
2124BangladeshBGD2021555.91479.181.39475.7439.5656.3513.270.470.010.880.030.00.00.031.3980.57
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" + ], + "text/plain": [ + " country_name iso_code year carbon_intensity fossil_TWh \\\n", + "2124 Bangladesh BGD 2021 555.914 79.18 \n", + "\n", + " renewables_TWh per_capita_Wh coal_TWh gas_TWh oil_TWh solar_TWh \\\n", + "2124 1.39 475.743 9.56 56.35 13.27 0.47 \n", + "\n", + " wind_TWh hydroelectricity_TWh other_renewable_TWh \\\n", + "2124 0.01 0.88 0.03 \n", + "\n", + " other_renewable_exc_biofuel_TWh nuclear_TWh biofuel_TWh \\\n", + "2124 0.0 0.0 0.03 \n", + "\n", + " low_carbon_TWh total_TWh \n", + "2124 1.39 80.57 " + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_filtered.query(\"iso_code=='BGD'\")" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "9fbe26d1", + "metadata": {}, + "source": [ + "renewables_Twh = hydroelectricity_Twh + wind_Twh + solar_Twh + other_renewable_Twh\n", + "\n", + "RTE Production\n", + "\n", + "![RTE](2023-07-07-22-40-48.png)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "fb65e34b", + "metadata": {}, + "outputs": [], + "source": [ + "# French electricity consumption in 2021 from https://ourworldindata.org/grapher/elec-mix-bar?stackMode=absolute&facet=metric&country=~FRA\n", + "# 57 TWh fossil + 297 TWh nuclear + 115 TWh renewable = 469 TWh\n", + "# From https://bilan-electrique-2021.rte-france.com/# we read 522 TWh for Production, but 468 TWh of consumption.\n", + "# Here we found 550 TWh, which is not the same !\n", + "\n", + "assert df_filtered.query(\"iso_code=='FRA'\")[\"total_TWh\"].values[0] == 550.38" + ] + }, + { + "cell_type": "code", + "execution_count": 12, "id": "81dcd0fc", "metadata": {}, "outputs": [ @@ -1381,15 +1612,19 @@ "name": "stdout", "output_type": "stream", "text": [ + "Warning: missing carbon_intensity value for ATA - Antarctica.\n", "Warning: missing carbon_intensity value for BMU - Bermuda.\n", "Warning: missing carbon_intensity value for GUF - French Guiana.\n", "Warning: missing carbon_intensity value for GIB - Gibraltar.\n", "Warning: missing carbon_intensity value for GLP - Guadeloupe.\n", - "Warning: missing carbon_intensity value for ISL - Iceland.\n", "Warning: missing carbon_intensity value for MTQ - Martinique.\n", + "Warning: missing carbon_intensity value for FSM - Micronesia (country).\n", + "Warning: missing carbon_intensity value for ANT - Netherlands Antilles.\n", "Warning: missing carbon_intensity value for NIU - Niue.\n", + "Warning: missing carbon_intensity value for MNP - Northern Mariana Islands.\n", "Warning: missing carbon_intensity value for REU - Reunion.\n", "Warning: missing carbon_intensity value for SHN - Saint Helena.\n", + "Warning: missing carbon_intensity value for TUV - Tuvalu.\n", "Warning: missing carbon_intensity value for ESH - Western Sahara.\n" ] }, @@ -1399,25 +1634,25 @@ "{'country_name': 'United States',\n", " 'iso_code': 'USA',\n", " 'year': 2021,\n", - " 'carbon_intensity': 379.571,\n", - " 'fossil_Twh': 2512.45,\n", - " 'renewables_Twh': 859.31,\n", - " 'per_capita_Twh': 12314.479,\n", - " 'coal_Twh': 897.89,\n", - " 'gaz_Twh': 1579.36,\n", - " 'oil_Twh': 35.2,\n", - " 'solar_Twh': 164.42,\n", - " 'wind_Twh': 378.2,\n", - " 'hydroelectricity_Twh': 246.47,\n", - " 'other_renewable_Twh': 70.22,\n", - " 'other_renewable_exc_biofuel_Twh': 15.97,\n", - " 'nuclear_Twh': 778.19,\n", - " 'biofuel_Twh': 54.25,\n", - " 'low_carbon_Twh': 1637.5,\n", - " 'total_Twh': 20749.749}" + " 'carbon_intensity': 379.26,\n", + " 'fossil_TWh': 2512.39,\n", + " 'renewables_TWh': 861.58,\n", + " 'per_capita_Wh': 12325.368,\n", + " 'coal_TWh': 898.0,\n", + " 'gas_TWh': 1579.19,\n", + " 'oil_TWh': 35.2,\n", + " 'solar_TWh': 164.42,\n", + " 'wind_TWh': 378.2,\n", + " 'hydroelectricity_TWh': 246.47,\n", + " 'other_renewable_TWh': 72.49,\n", + " 'other_renewable_exc_biofuel_TWh': 18.24,\n", + " 'nuclear_TWh': 779.65,\n", + " 'biofuel_TWh': 54.25,\n", + " 'low_carbon_TWh': 1641.23,\n", + " 'total_TWh': 4153.62}" ] }, - "execution_count": 9, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1439,7 +1674,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 13, "id": "9d275aff", "metadata": {}, "outputs": [ @@ -1449,7 +1684,7 @@ "True" ] }, - "execution_count": 10, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1461,7 +1696,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 14, "id": "0533388d", "metadata": {}, "outputs": [], @@ -1472,47 +1707,11 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "1737311d-a9d7-45ee-a871-c26a9e1763cf", "metadata": {}, "source": [ - "The output we need is a JSON file named `global_energy_mix.json` in this format:\n", - "```json\n", - "{\n", - " \"FRA\": {\n", - " \"carbon_intensity\": 55,\n", - " \"country_id\": 194,\n", - " \"country_name\": \"France\",\n", - " \"fossil_TWh\": 44.553,\n", - " \"geothermal_TWh\": 0.155753680282,\n", - " \"hydroelectricity_TWh\": 60.75027,\n", - " \"iso_code\": \"FRA\",\n", - " \"nuclear_TWh\": 335.41461,\n", - " \"official_name_en\": \"France\",\n", - " \"region\": \"Europe\",\n", - " \"solar_TWh\": 14.1455621272,\n", - " \"total_TWh\": 498.55086677838193,\n", - " \"wind_TWh\": 43.5316709709,\n", - " \"year\": 2020\n", - " },\n", - " \"USA\": {\n", - " \"country_id\": 48,\n", - " \"country_name\": \"US\",\n", - " \"fossil_TWh\": 2419.23028249,\n", - " \"geothermal_TWh\": 16.93010517,\n", - " \"hydroelectricity_TWh\": 291.11084,\n", - " \"iso_code\": \"USA\",\n", - " \"nuclear_TWh\": 789.91864,\n", - " \"official_name_en\": \"United States of America\",\n", - " \"region\": \"Americas\",\n", - " \"solar_TWh\": 132.6307535,\n", - " \"total_TWh\": 3987.3304358499995,\n", - " \"wind_TWh\": 337.50981469,\n", - " \"year\": 2020\n", - " },\n", - "}\n", - "```\n", - "\n", "We need only the last available indicator for the columns `carbon_intensity_elec`, not the history, `year` is just an indicator of the freshness.\n", "\n", "If we don't have `carbon_intensity` it could be computed, but we prefer to not have to do it.\n", @@ -1521,6 +1720,7 @@ ] }, { + "attachments": {}, "cell_type": "markdown", "id": "8e8031a6-4b45-4ce5-a037-008173af37bb", "metadata": {}, @@ -1549,7 +1749,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.12" + "version": "3.8.16" }, "vscode": { "interpreter": { diff --git a/codecarbon/viz/components.py b/codecarbon/viz/components.py index 731c9c35f..f44490fdc 100644 --- a/codecarbon/viz/components.py +++ b/codecarbon/viz/components.py @@ -329,7 +329,7 @@ def get_cloud_emissions_barchart_figure( hover_data=["region", "country_name", "emissions"], color="emissions", labels={ - "emissions": "Carbon Equivalent (kg)", + "emissions": "Carbon Equivalent (KgCO2)", "region": "Region", "country_name": "Country", }, @@ -427,7 +427,6 @@ def get_energy_mix_tab(): id="energy_type", options=[ {"label": "Fossil", "value": "fossil"}, - {"label": "Geothermal", "value": "geothermal"}, { "label": "Hydroelectricity", "value": "hydroelectricity", @@ -479,8 +478,8 @@ def get_global_emissions_choropleth_figure(self, choropleth_data): hover_data=[ "country", "emissions", + "carbon_intensity", "fossil", - "geothermal", "hydroelectricity", "nuclear", "solar", @@ -488,10 +487,10 @@ def get_global_emissions_choropleth_figure(self, choropleth_data): ], labels={ "country": "Country", - "emissions": "Carbon Equivalent (kg)", + "emissions": "Carbon Equivalent (KgCO2)", + "carbon_intensity": "Carbon Intensity (gCO2/kWh)", "iso_code": "Country Code", "fossil": "Fossil Energy(%)", - "geothermal": "Geothermal Energy (%)", "hydroelectricity": "Hydroelectricity Energy (%)", "nuclear": "Nuclear Energy (%)", "solar": "Solar Energy (%)", @@ -505,7 +504,6 @@ def get_global_emissions_choropleth_figure(self, choropleth_data): def get_global_energy_mix_choropleth_figure(self, energy_type, choropleth_data): energy_labels = { "fossil": "Fossil Energy(%)", - "geothermal": "Geothermal Energy (%)", "hydroelectricity": "Hydroelectricity Energy (%)", "nuclear": "Nuclear Energy (%)", "solar": "Solar Energy (%)", @@ -518,7 +516,7 @@ def get_global_energy_mix_choropleth_figure(self, energy_type, choropleth_data): hover_data=["country", "emissions", energy_type], labels={ "country": "Country", - "emissions": "Carbon Equivalent (kg)", + "emissions": "Carbon Equivalent (KgCO2)", "iso_code": "Country Code", energy_type: energy_labels[energy_type], }, @@ -591,7 +589,7 @@ def get_regional_emissions_choropleth_figure( hover_data=["region_name", "emissions", "region_code"], labels={ "region_name": "Region", - "emissions": "Carbon Equivalent (kg)", + "emissions": "Carbon Equivalent (KgCO2)", "region_code": "Region Code", }, width=1400, @@ -639,7 +637,7 @@ def get_project_time_series_figure(project_data: dt.DataTable): y="emissions", hover_data=["emissions"], labels={ - "emissions": "Carbon Equivalent (kg)", + "emissions": "Carbon Equivalent (KgCO2eq)", "timestamp": "Timestamp", }, ) @@ -659,7 +657,7 @@ def get_project_emissions_bar_chart_figure(project_data: dt.DataTable): y="emissions", hover_data=hover_data, labels={ - "emissions": "Carbon Equivalent (kg)", + "emissions": "Carbon Equivalent (KgCO2eq)", "energy_consumed": "Energy Consumed (kWh)", "timestamp": "Timestamp", "project_name": "Project Name", diff --git a/codecarbon/viz/data.py b/codecarbon/viz/data.py index c599a23eb..1d8d02f09 100644 --- a/codecarbon/viz/data.py +++ b/codecarbon/viz/data.py @@ -1,4 +1,4 @@ -from typing import Dict, List, Tuple +from typing import Any, Dict, List, Tuple import pandas as pd import requests @@ -14,10 +14,10 @@ def __init__(self): self._emissions = Emissions(self._data_source) @staticmethod - def get_project_data(df: pd.DataFrame, project_name) -> dt.DataTable: + def get_project_data(df: pd.DataFrame, project_name: str) -> dt.DataTable: project_df = df[df.project_name == project_name] project_df = project_df.sort_values(by="timestamp") - project_data = project_df.to_dict("rows") + project_data = project_df.to_dict("records") columns = [{"name": column, "id": column} for column in project_df.columns] return dt.DataTable(data=project_data, columns=columns) @@ -98,13 +98,11 @@ def get_household_fraction(self, project_carbon_equivalent: float): def get_global_emissions_choropleth_data( self, net_energy_consumed: float ) -> List[Dict]: - def formatted_energy_percentage(energy_type: float, total: float) -> float: - return float(f"{energy_type / total * 100:.1f}") - global_energy_mix = self._data_source.get_global_energy_mix_data() choropleth_data = [] for country_iso_code in global_energy_mix.keys(): - country_name = global_energy_mix[country_iso_code]["country_name"] + country_energy_mix = global_energy_mix[country_iso_code] + country_name = country_energy_mix["country_name"] if country_iso_code not in ["_define", "ATA"]: from codecarbon.core.units import Energy @@ -119,35 +117,43 @@ def formatted_energy_percentage(energy_type: float, total: float) -> float: country_name=country_name, country_iso_code=country_iso_code ), ) - total = global_energy_mix[country_iso_code]["total_TWh"] - choropleth_data.append( - { - "iso_code": country_iso_code, - "emissions": country_emissions, - "country": country_name, - "fossil": formatted_energy_percentage( - global_energy_mix[country_iso_code]["fossil_TWh"], total - ), - "geothermal": formatted_energy_percentage( - global_energy_mix[country_iso_code]["geothermal_TWh"], total - ), - "hydroelectricity": formatted_energy_percentage( - global_energy_mix[country_iso_code]["hydroelectricity_TWh"], - total, - ), - "nuclear": formatted_energy_percentage( - global_energy_mix[country_iso_code]["nuclear_TWh"], total - ), - "solar": formatted_energy_percentage( - global_energy_mix[country_iso_code]["solar_TWh"], total - ), - "wind": formatted_energy_percentage( - global_energy_mix[country_iso_code]["wind_TWh"], total - ), - } + country_choropleth_data = self.get_country_choropleth_data( + country_energy_mix=country_energy_mix, + country_name=country_name, + country_iso_code=country_iso_code, + country_emissions=country_emissions, ) + choropleth_data.append(country_choropleth_data) return choropleth_data + @staticmethod + def get_country_choropleth_data( + country_energy_mix: Dict, + country_name: str, + country_iso_code: str, + country_emissions: float, + ) -> Dict[str, Any]: + def format_energy_percentage(energy_type: float, total: float) -> float: + return float(f"{energy_type / total * 100:.1f}") + + total = country_energy_mix["total_TWh"] + return { + "iso_code": country_iso_code, + "emissions": country_emissions, + "country": country_name, + "carbon_intensity": country_energy_mix["carbon_intensity"], + "fossil": format_energy_percentage(country_energy_mix["fossil_TWh"], total), + "hydroelectricity": format_energy_percentage( + country_energy_mix["hydroelectricity_TWh"], + total, + ), + "nuclear": format_energy_percentage( + country_energy_mix["nuclear_TWh"], total + ), + "solar": format_energy_percentage(country_energy_mix["solar_TWh"], total), + "wind": format_energy_percentage(country_energy_mix["wind_TWh"], total), + } + def get_regional_emissions_choropleth_data( self, net_energy_consumed: float, country_iso_code: str ) -> List[Dict]: diff --git a/dashboard/other/carbonBoard.py b/dashboard/other/carbonBoard.py index 63423c9dc..e3dfc2885 100644 --- a/dashboard/other/carbonBoard.py +++ b/dashboard/other/carbonBoard.py @@ -716,7 +716,7 @@ def update_map(start_date, end_date, project, kpi): "Country", "Carbon intensity of electricity (gCO2/kWh)", "% Fossil", - "% Geothermal", + "% Geothermal", # TODO: Remove this line because data is unavailable "% Hydro", "% Nuclear", "% Solar", diff --git a/examples/emissions.csv b/examples/emissions.csv index 7f5e42ec4..a352eed8b 100644 --- a/examples/emissions.csv +++ b/examples/emissions.csv @@ -1,75 +1,75 @@ timestamp,project_name,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region,,,,,,,,,,,,,, -2020-03-23T09:26:11,project_gamma,34,8,4,8,0,1.234535,8,0,0.1565332,8,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-03-23T09:26:11,project_gamma,34,8,4,8,0,1.234535,8,0,0.1565332,8,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-03-24T15:26:11,project_delta,16,1,0.5,3,0,1.234535034,3,0,0.156533207,3,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-03-25T21:26:11,project_alpha,19,1,0.5,1,0,1.234535069,1,0,0.156533215,1,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-03-27T03:26:11,project_theta,34,8,4,5,0,1.234535103,5,0,0.156533222,5,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-03-28T09:26:11,project_gamma,48,8,4,7,0,1.234535137,7,0,0.156533229,7,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-03-29T15:26:11,project_theta,25,7,3.5,6,0,1.234535172,6,0,0.156533236,6,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-03-27T03:26:11,project_theta,34,8,4,5,0,1.234535103,5,0,0.156533222,5,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-03-28T09:26:11,project_gamma,48,8,4,7,0,1.234535137,7,0,0.156533229,7,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-03-29T15:26:11,project_theta,25,7,3.5,6,0,1.234535172,6,0,0.156533236,6,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-03-30T21:26:11,project_delta,29,6,3,8,0,1.234535206,8,0,0.156533244,8,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-04-01T03:26:11,project_alpha,10,6,3,6,0,1.23453524,6,0,0.156533251,6,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-04-02T09:26:11,project_alpha,13,9,4.5,9,0,1.234535274,9,0,0.156533258,9,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-04-03T15:26:11,project_delta,35,2,1,4,0,1.234535309,4,0,0.156533265,4,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-04-04T21:26:11,project_beta,27,7,3.5,8,0,1.234535343,8,0,0.156533273,8,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-04-06T03:26:11,project_delta,42,7,3.5,1,0,1.234535377,1,0,0.15653328,1,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-04-07T09:26:11,project_theta,49,7,3.5,6,0,1.234535412,6,0,0.156533287,6,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-04-08T15:26:11,project_gamma,49,3,1.5,9,0,1.234535446,9,0,0.156533295,9,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-04-09T21:26:11,project_gamma,40,9,4.5,7,0,1.23453548,7,0,0.156533302,7,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-04-07T09:26:11,project_theta,49,7,3.5,6,0,1.234535412,6,0,0.156533287,6,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-04-08T15:26:11,project_gamma,49,3,1.5,9,0,1.234535446,9,0,0.156533295,9,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-04-09T21:26:11,project_gamma,40,9,4.5,7,0,1.23453548,7,0,0.156533302,7,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-04-11T03:26:11,project_beta,36,6,3,6,0,1.234535515,6,0,0.156533309,6,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-04-12T09:26:11,project_beta,18,3,1.5,2,0,1.234535549,2,0,0.156533316,2,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-04-13T15:26:11,project_theta,26,6,3,6,0,1.234535583,6,0,0.156533324,6,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-04-13T15:26:11,project_theta,26,6,3,6,0,1.234535583,6,0,0.156533324,6,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-04-14T21:26:11,project_alpha,39,8,4,6,0,1.234535617,6,0,0.156533331,6,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-04-16T03:26:11,project_gamma,24,2,1,8,0,1.234535652,8,0,0.156533338,8,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-04-17T09:26:11,project_theta,40,8,4,5,0,1.234535686,5,0,0.156533345,5,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-04-18T15:26:11,project_gamma,42,4,2,1,0,1.23453572,1,0,0.156533353,1,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-04-16T03:26:11,project_gamma,24,2,1,8,0,1.234535652,8,0,0.156533338,8,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-04-17T09:26:11,project_theta,40,8,4,5,0,1.234535686,5,0,0.156533345,5,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-04-18T15:26:11,project_gamma,42,4,2,1,0,1.23453572,1,0,0.156533353,1,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-04-19T21:26:11,project_beta,12,5,2.5,4,0,1.234535755,4,0,0.15653336,4,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-04-21T03:26:11,project_gamma,26,9,4.5,2,0,1.234535789,2,0,0.156533367,2,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-04-21T03:26:11,project_gamma,26,9,4.5,2,0,1.234535789,2,0,0.156533367,2,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-04-22T09:26:11,project_beta,31,4,2,2,0,1.234535823,2,0,0.156533375,2,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-04-23T15:26:11,project_gamma,29,4,2,4,0,1.234535858,4,0,0.156533382,4,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-04-23T15:26:11,project_gamma,29,4,2,4,0,1.234535858,4,0,0.156533382,4,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-04-24T21:26:11,project_beta,19,2,1,7,0,1.234535892,7,0,0.156533389,7,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-04-26T03:26:11,project_theta,39,1,0.5,4,0,1.234535926,4,0,0.156533396,4,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-04-26T03:26:11,project_theta,39,1,0.5,4,0,1.234535926,4,0,0.156533396,4,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-04-27T09:26:11,project_delta,43,4,2,2,0,1.23453596,2,0,0.156533404,2,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-04-28T15:26:11,project_delta,10,8,4,4,0,1.234535995,4,0,0.156533411,4,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-04-29T21:26:11,project_gamma,19,7,3.5,9,0,1.234536029,9,0,0.156533418,9,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-04-29T21:26:11,project_gamma,19,7,3.5,9,0,1.234536029,9,0,0.156533418,9,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-04-31T03:26:11,project_beta,49,2,1,3,0,1.234536063,3,0,0.156533425,3,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-01T09:26:11,project_alpha,37,3,1.5,2,0,1.234536098,2,0,0.156533433,2,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-02T15:26:11,project_alpha,29,6,3,4,0,1.234536132,4,0,0.15653344,4,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-05-03T21:26:11,project_theta,38,7,3.5,8,0,1.234536166,8,0,0.156533447,8,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-05-03T21:26:11,project_theta,38,7,3.5,8,0,1.234536166,8,0,0.156533447,8,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-05-05T03:26:11,project_alpha,32,8,4,4,0,1.234536201,4,0,0.156533455,4,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-06T09:26:11,project_beta,19,5,2.5,3,0,1.234536235,3,0,0.156533462,3,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-07T15:26:11,project_delta,26,9,4.5,1,0,1.234536269,1,0,0.156533469,1,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-05-08T21:26:11,project_theta,20,7,3.5,8,0,1.234536303,8,0,0.156533476,8,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-05-10T03:26:11,project_gamma,24,6,3,5,0,1.234536338,5,0,0.156533484,5,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-05-08T21:26:11,project_theta,20,7,3.5,8,0,1.234536303,8,0,0.156533476,8,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-05-10T03:26:11,project_gamma,24,6,3,5,0,1.234536338,5,0,0.156533484,5,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-05-11T09:26:11,project_alpha,38,5,2.5,4,0,1.234536372,4,0,0.156533491,4,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-12T15:26:11,project_alpha,41,3,1.5,5,0,1.234536406,5,0,0.156533498,5,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-13T21:26:11,project_beta,47,4,2,3,0,1.234536441,3,0,0.156533505,3,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-05-15T03:26:11,project_theta,24,9,4.5,4,0,1.234536475,4,0,0.156533513,4,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-05-15T03:26:11,project_theta,24,9,4.5,4,0,1.234536475,4,0,0.156533513,4,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-05-16T09:26:11,project_delta,40,2,1,8,0,1.234536509,8,0,0.15653352,8,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-05-17T15:26:11,project_delta,16,5,2.5,8,0,1.234536544,8,0,0.156533527,8,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-05-18T21:26:11,project_gamma,40,2,1,2,0,1.234536578,2,0,0.156533535,2,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-05-20T03:26:11,project_theta,13,5,2.5,5,0,1.234536612,5,0,0.156533542,5,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-05-21T09:26:11,project_theta,11,4,2,4,0,1.234536646,4,0,0.156533549,4,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-05-18T21:26:11,project_gamma,40,2,1,2,0,1.234536578,2,0,0.156533535,2,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-05-20T03:26:11,project_theta,13,5,2.5,5,0,1.234536612,5,0,0.156533542,5,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-05-21T09:26:11,project_theta,11,4,2,4,0,1.234536646,4,0,0.156533549,4,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-05-22T15:26:11,project_delta,23,7,3.5,6,0,1.234536681,6,0,0.156533556,6,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-05-23T21:26:11,project_alpha,45,8,4,5,0,1.234536715,5,0,0.156533564,5,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-25T03:26:11,project_delta,18,7,3.5,1,0,1.234536749,1,0,0.156533571,1,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-05-26T09:26:11,project_beta,19,9,4.5,8,0,1.234536784,8,0,0.156533578,8,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-05-27T15:26:11,project_delta,33,4,2,4,0,1.234536818,4,0,0.156533585,4,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-05-28T21:26:11,project_alpha,15,4,2,3,0,1.234536852,3,0,0.156533593,3,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-05-30T03:26:11,project_gamma,45,4,2,2,0,1.234536887,2,0,0.1565336,2,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-06-01T09:26:11,project_gamma,15,6,3,8,0,1.234536921,8,0,0.156533607,8,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-05-30T03:26:11,project_gamma,45,4,2,2,0,1.234536887,2,0,0.1565336,2,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-06-01T09:26:11,project_gamma,15,6,3,8,0,1.234536921,8,0,0.156533607,8,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-06-02T15:26:11,project_alpha,45,4,2,2,0,1.234536955,2,0,0.156533615,2,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-06-03T21:26:11,project_delta,44,1,0.5,3,0,1.234536989,3,0,0.156533622,3,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-06-05T03:26:11,project_delta,48,4,2,7,0,1.234537024,7,0,0.156533629,7,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-06-06T09:26:11,project_delta,11,5,2.5,3,0,1.234537058,3,0,0.156533636,3,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-06-07T15:26:11,project_delta,21,1,0.5,7,0,1.234537092,7,0,0.156533644,7,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-06-08T21:26:11,project_theta,43,2,1,2,0,1.234537127,2,0,0.156533651,2,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-06-08T21:26:11,project_theta,43,2,1,2,0,1.234537127,2,0,0.156533651,2,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-06-10T03:26:11,project_alpha,19,8,4,5,0,1.234537161,5,0,0.156533658,5,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-06-11T09:26:11,project_alpha,20,9,4.5,3,0,1.234537195,3,0,0.156533665,3,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-06-12T15:26:11,project_theta,19,1,0.5,5,0,1.23453723,5,0,0.156533673,5,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-06-12T15:26:11,project_theta,19,1,0.5,5,0,1.23453723,5,0,0.156533673,5,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-06-13T21:26:11,project_alpha,48,4,2,4,0,1.234537264,4,0,0.15653368,4,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-06-15T03:26:11,project_alpha,48,2,1,9,0,1.234537298,9,0,0.156533687,9,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-06-16T09:26:11,project_delta,18,9,4.5,3,0,1.234537332,3,0,0.156533695,3,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-06-17T15:26:11,project_theta,38,7,3.5,7,0,1.234537367,7,0,0.156533702,7,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-06-18T21:26:11,project_gamma,36,5,2.5,7,0,1.234537401,7,0,0.156533709,7,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-06-17T15:26:11,project_theta,38,7,3.5,7,0,1.234537367,7,0,0.156533702,7,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-06-18T21:26:11,project_gamma,36,5,2.5,7,0,1.234537401,7,0,0.156533709,7,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-06-20T03:26:11,project_delta,15,2,1,7,0,1.234537435,7,0,0.156533716,7,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, 2020-06-21T09:26:11,project_alpha,41,4,2,6,0,1.23453747,6,0,0.156533724,6,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-06-22T15:26:11,project_alpha,11,4,2,6,0,1.234537504,6,0,0.156533731,6,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, @@ -78,24 +78,24 @@ timestamp,project_name,duration,emissions,emissions_rate,cpu_power,gpu_power,ram 2020-06-26T09:26:11,project_beta,19,9,4.5,4,0,1.234537607,4,0,0.156533753,4,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-06-27T15:26:11,project_alpha,39,2,1,7,0,1.234537641,7,0,0.15653376,7,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-06-28T21:26:11,project_alpha,11,7,3.5,1,0,1.234537675,1,0,0.156533767,1,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-06-30T03:26:11,project_gamma,46,9,4.5,1,0,1.23453771,1,0,0.156533775,1,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-06-30T03:26:11,project_gamma,46,9,4.5,1,0,1.23453771,1,0,0.156533775,1,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-06-31T09:26:11,project_alpha,23,2,1,9,0,1.234537744,9,0,0.156533782,9,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-07-01T15:26:11,project_beta,34,7,3.5,8,0,1.234537778,8,0,0.156533789,8,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-07-02T21:26:11,project_gamma,40,1,0.5,5,0,1.234537813,5,0,0.156533796,5,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-07-04T03:26:11,project_gamma,34,7,3.5,7,0,1.234537847,7,0,0.156533804,7,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-07-02T21:26:11,project_gamma,40,1,0.5,5,0,1.234537813,5,0,0.156533796,5,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-07-04T03:26:11,project_gamma,34,7,3.5,7,0,1.234537847,7,0,0.156533804,7,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-07-05T09:26:11,project_delta,39,9,4.5,3,0,1.234537881,3,0,0.156533811,3,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-07-06T15:26:11,project_theta,49,5,2.5,3,0,1.234537916,3,0,0.156533818,3,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-07-07T21:26:11,project_gamma,42,8,4,9,0,1.23453795,9,0,0.156533825,9,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-07-06T15:26:11,project_theta,49,5,2.5,3,0,1.234537916,3,0,0.156533818,3,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-07-07T21:26:11,project_gamma,42,8,4,9,0,1.23453795,9,0,0.156533825,9,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-07-09T03:26:11,project_delta,48,8,4,6,0,1.234537984,6,0,0.156533833,6,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-07-10T09:26:11,project_theta,31,6,3,4,0,1.234538018,4,0,0.15653384,4,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, +2020-07-10T09:26:11,project_theta,31,6,3,4,0,1.234538018,4,0,0.15653384,4,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, 2020-07-11T15:26:11,project_delta,21,2,1,6,0,1.234538053,6,0,0.156533847,6,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-07-12T21:26:11,project_gamma,35,3,1.5,1,0,1.234538087,1,0,0.156533855,1,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-07-14T03:26:11,project_theta,20,1,0.5,8,0,1.234538121,8,0,0.156533862,8,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth,,,,,,,,,,,,,, -2020-07-15T09:26:11,project_gamma,31,6,3,1,0,1.234538156,1,0,0.156533869,1,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, -2020-07-16T15:26:11,project_gamma,48,5,2.5,4,0,1.23453819,4,0,0.156533876,4,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-07-12T21:26:11,project_gamma,35,3,1.5,1,0,1.234538087,1,0,0.156533855,1,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-07-14T03:26:11,project_theta,20,1,0.5,8,0,1.234538121,8,0,0.156533862,8,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, +2020-07-15T09:26:11,project_gamma,31,6,3,1,0,1.234538156,1,0,0.156533869,1,USA,USA,Ohio,N,,,,,,,,,,,,,,,, +2020-07-16T15:26:11,project_gamma,48,5,2.5,4,0,1.23453819,4,0,0.156533876,4,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-07-17T21:26:11,project_beta,16,7,3.5,8,0,1.234538224,8,0,0.156533884,8,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-07-19T03:26:11,project_delta,38,9,4.5,2,0,1.234538259,2,0,0.156533891,2,Taiwan,TWN,Changhua County,Y,gcp,asia-east1,,,,,,,,,,,,,, -2020-07-20T09:26:11,project_gamma,45,4,2,9,0,1.234538293,9,0,0.156533898,9,USA,USA,Ohio,Y,aws,us-east-2,,,,,,,,,,,,,, +2020-07-20T09:26:11,project_gamma,45,4,2,9,0,1.234538293,9,0,0.156533898,9,USA,USA,Ohio,N,,,,,,,,,,,,,,,, 2020-07-21T15:26:11,project_beta,14,1,0.5,8,0,1.234538327,8,0,0.156533905,8,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, 2020-07-22T21:26:11,project_alpha,48,4,2,6,0,1.234538361,6,0,0.156533913,6,Canada,CAN,Ontario,N,,,,,,,,,,,,,,,, -2020-07-24T03:26:11,project_theta,32,8,4,5,0,1.234538396,5,0,0.15653392,5,Brazil,BRA,Sao Paulo,Y,azure,brazilsouth2021-07-14T10:59:36,codecarbon,3565.51492,0.027399096,2.6775,0,1.533303325,0.022284099,0,0.012761264,0.035045363,Morocco,MAR,casablanca-settat,N \ No newline at end of file +2020-07-24T03:26:11,project_theta,32,8,4,5,0,1.234538396,5,0,0.15653392,5,Brazil,BRA,Sao Paulo,N,,brazilsouth,,,,,,,,,,,,,, \ No newline at end of file diff --git a/setup.py b/setup.py index c6dcc2a6f..b1ea5e0df 100644 --- a/setup.py +++ b/setup.py @@ -20,7 +20,7 @@ setuptools.setup( name="codecarbon", - version="2.2.6", + version="2.2.7", author="Mila, DataForGood, BCG GAMMA, Comet.ml, Haverford College", long_description=long_description, long_description_content_type="text/markdown", @@ -54,7 +54,7 @@ "viz/assets/*.png", ], }, - python_requires=">3.6", + python_requires=">=3.7", entry_points={ "console_scripts": [ "carbonboard = codecarbon.viz.carbonboard:main", diff --git a/tests/test_emissions.py b/tests/test_emissions.py index c4fcaba98..909497a6e 100644 --- a/tests/test_emissions.py +++ b/tests/test_emissions.py @@ -66,7 +66,7 @@ def test_get_emissions_PRIVATE_INFRA_FRA(self): # THEN assert isinstance(emissions, float) - self.assertAlmostEqual(emissions, 0.055, places=2) + self.assertAlmostEqual(emissions, 67.39 / 1000, places=2) def test_get_emissions_PRIVATE_INFRA_JOR(self): """ diff --git a/tests/test_viz_data.py b/tests/test_viz_data.py new file mode 100644 index 000000000..54d9affe5 --- /dev/null +++ b/tests/test_viz_data.py @@ -0,0 +1,97 @@ +from pathlib import Path +from typing import Any, Dict + +import pandas as pd +import pytest +from dash import dash_table as dt + +from codecarbon.input import DataSource +from codecarbon.viz import data + + +@pytest.fixture +def emissions_data() -> pd.DataFrame: + tests_path = Path(__file__).parent + return pd.read_csv(tests_path / "test_data/emissions_valid_headers.csv") + + +@pytest.fixture +def global_energy_mix_data() -> Dict[str, Dict[str, Any]]: + return DataSource().get_global_energy_mix_data() + + +def test_get_project_data(emissions_data: pd.DataFrame): + viz_data = data.Data() + project_data = viz_data.get_project_data(emissions_data, project_name="codecarbon") + assert isinstance(project_data, dt.DataTable) + assert project_data.columns == [ + {"name": column, "id": column} for column in emissions_data.columns + ] + pd.testing.assert_frame_equal(pd.DataFrame(project_data.data), emissions_data) + + +def test_get_global_emissions_choropleth_data( + global_energy_mix_data: Dict[str, Dict[str, Any]] +): + viz_data = data.Data() + choropleth_data = viz_data.get_global_emissions_choropleth_data( + net_energy_consumed=100 + ) + assert sorted([row["iso_code"] for row in choropleth_data]) == sorted( + global_energy_mix_data.keys() + ) + expected_keys = [ + "iso_code", + "emissions", + "country", + "carbon_intensity", + "fossil", + "hydroelectricity", + "nuclear", + "solar", + "wind", + ] + assert all(list(row.keys()) == expected_keys for row in choropleth_data) + + +def test_get_country_choropleth_data(): + input_country_energy_mix = { + "biofuel_TWh": 20.0, + "carbon_intensity": 200, + "coal_TWh": 50.0, + "country_name": "Test", + "fossil_TWh": 200.0, + "gas_TWh": 120.0, + "hydroelectricity_TWh": 200.0, + "iso_code": "TST", + "low_carbon_TWh": 110.0, + "nuclear_TWh": 200.0, + "oil_TWh": 30.0, + "other_renewable_TWh": 25.0, + "other_renewable_exc_biofuel_TWh": 5.0, + "per_capita_TWh": 50.0, + "renewables_TWh": 600.0, + "solar_TWh": 275.0, + "total_TWh": 1000.0, + "wind_TWh": 100.0, + "year": 2021, + } + expected_choropleth_data = { + "iso_code": "TST", + "emissions": 100, + "carbon_intensity": 200, + "country": "Test", + "fossil": 20.0, + "hydroelectricity": 20.0, + "nuclear": 20.0, + "solar": 27.5, + "wind": 10.0, + } + viz_data = data.Data() + output_choropleth_data = viz_data.get_country_choropleth_data( + country_energy_mix=input_country_energy_mix, + country_name="Test", + country_iso_code="TST", + country_emissions=100, + ) + assert output_choropleth_data == expected_choropleth_data