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energy-trading-api-0.0.9


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توضیحات

API Wrappers for the Energy Markets
ویژگی مقدار
سیستم عامل -
نام فایل energy-trading-api-0.0.9
نام energy-trading-api
نسخه کتابخانه 0.0.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده jericmac
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/jericmac/energy-trading-api-wrappers
آدرس اینترنتی https://pypi.org/project/energy-trading-api/
مجوز -
# Energy Trading API Wrappers This package aims to build Pandas-based API wrappers for Energy Markets Data coming from publicly available sources. The results are returned in the Pandas dataFrame format unless specified otherwise. > **disclaimer** While readily useable, this API library is under constant in development. The reliability of the data from the API list depends on the sources. Enjoy! Supported APIs: > **Australia** - [Western Australia Gas Bulletin Board](https://gbbwa.aemo.com.au/) - [ACCC LNG Netback Price Index](https://www.accc.gov.au/regulated-infrastructure/energy/gas-inquiry-2017-2020/lng-netback-price-series) - [Australian REC Register](https://www.rec-registry.gov.au/) - [AEMC Gas Scheme Register (developing)](https://www.aemc.gov.au/energy-system/gas/gas-scheme-register) - [Western Australia Wholesale Electricity Market (WEM)](http://data.wa.aemo.com.au/#) - [Bureau of Meteorology](http://www.bom.gov.au/) > **Singapore** - [Singapore National Electricity Market (NEMS)](https://www.emcsg.com/) > **Japan** - [Japan Electric Power Exchange](http://www.jepx.org/) - [Kyushu Electric Power Company - H/5M Demand and Forecasted Demand](http://www.kyuden.co.jp) - [Chubu Electric Power Company - Hourly Historical and Current Demand](http://denki-yoho.chuden.jp) - [Tokyo Electric Power Company - Hourly Historical and Current Demand](http://tepco.co.jp) - [Chugoku Electric Power Company - Hourly Historical Demand](https://www.energia.co.jp/) - [FEPC - Federation of Electric Power Companies - Power Statistics Library](https://pdb.fepc.or.jp/pdb/%E3%83%87%E3%83%BC%E3%82%BF%E3%83%99%E3%83%BC%E3%82%B9%E4%B8%80%E8%A6%A7_%E9%9B%BB%E5%8A%9B%E7%B5%B1%E8%A8%88%E6%83%85%E5%A0%B1) > **Global** - [U.S. Energy Information Administration Open Data](https://www.eia.gov/opendata/) ## Installation * Python 3.6 or 3.7 To install, use `pip` : ```bash $ pip install energy-trading-api ``` ### Requirements * Python 3.7 ## Usage ### AUSTRALIA ##### Western Australian Wholesale Electricity Market (WEM) ```python from energy_trading_api import australiaWEM df = australiaWEM.loadForecast() df1 = australiaWEM.demandSideProgrammePrices(year="2019") ``` [WEM Data API Documentation](http://data.wa.aemo.com.au/#) ##### ACCC LNG Netback Price Series ```python from energy_trading_api import australiaLNG netback,netforward,merged = australiaLNG.acccNetbackPrice() print(netback.head()) ``` [ACCC LNG Netback Price Series Documentation](https://www.accc.gov.au/system/files/Guide%20to%20the%20LNG%20netback%20price%20series%20-%20October%202018.pdf) ##### Australian REC Register ```python from energy_trading_api import australiaREC df = australiaREC.recDay("2019-01-01") ``` [REC Registry API Documentation](http://www.cleanenergyregulator.gov.au/DocumentAssets/Pages/REC-Registry-API-specifications.aspx) ##### AEMC Gas Scheme Register ```python from energy_trading_api import australiaNG df = australiaNG.pipelineRegister() df1 = australiaNG.pipelineRegisterSearch(state="NSW",operator="APA Group") ``` [AEMC Gas Scheme Register Website](https://www.aemc.gov.au/energy-system/gas/gas-scheme-register) ##### Western Australia Gas Bulletin Board ```python from energy_trading_api import wagbb wagbb.capacityOutlook() ``` [WAGBB API Documentation](https://gbbwa.aemo.com.au/api/v1/document/1f2bc41e-3e42-41eb-86f7-4a10d2d6e4bc/content) ##### Australian Bureau of Meteorology Retrieves BOM records into a pandas dataframe, given Product and location. For instance, Bankstown time series data has a product code of IDN60901.94765. To return Air Temp, Apparent Temp Rel Humidity, Cloud data in a pandas df, simply do: ```python from energy_trading_api import australiaBOM df1 = australiaBOM.airTemp('IDN60901.94765') df2 = australiaBOM.apparentTemp('IDN60901.94765') df2 = australiaBOM.relativeHumidity('IDN60901.94765') df3 = australiaBOM.cloud('IDN60901.94765') ``` You can also access the entire dataset by doing: ```python from energy_trading_api import australiaBOM df, df_header = australiaBOM.__call_api_BOM('IDN60901.94765') # e.g. dew point: print(df['dewpt'].to_string()) ``` [Bankstown BOM Data Example](http://www.bom.gov.au/products/IDN60901/IDN60901.94765.shtml) ### SINGAPORE ##### Singapore National Electricity Market (NEMS) ```python from energy_trading_api import singaporeNEMS df = singaporeNEMS.singaporeUSEP(date="2019-01-01") ``` ### JAPAN ##### Japan Electric Power Exchange ```python from energy_trading_api import jepx df = jepx.spotLatest() df = jepx.spotLatest("20190101") ``` ##### Kyushu Electric Power Company (Kyuden) ```python from energy_trading_api import japanElectricity as je df = je.kyushuElectricdemandJapanese() df1 = je.kyushuElectricdemandJapanese(day="20190101") ``` ##### Chubu Electric Power Company (Chuden) ```python from energy_trading_api import japanElectricity as je df = je.chubuElectricdemandJapanese() df1 = je.chubuElectricDemandJapaneseRange(begtime="20190101",endtime="20190101") ``` ##### Tokyo Electric Power Company (TEPCO) ```python from energy_trading_api import japanElectricity as je df = je.tepcoElectricDemandHistoricalJapanese("2018") df1 = je.tepcoElectricDemandCurrentJapanese() ``` ##### CHUGOKU Electric Power Company (Chugoku Denki) ```python from energy_trading_api import japanElectricity as je df = je.chugokuElectricDemandJapanese("2018") ``` ##### FEPC - JAPAN Federation of Electric Power Company ```python from energy_trading_api import japanFEPC as je df = je.demandByIndustry() ``` ### GLOBAL ##### U.S. Energy Information Administration ```python from energy_trading_api import eia_api df = eia_api.ngAustraliaProduction("<YOUR-API-KEY-HERE>") ``` [EIA-Python Documentation](https://github.com/mra1385/EIA-python) [EIA API Documentation](https://www.eia.gov/opendata/commands.php)


نیازمندی

مقدار نام
==1.22 eia-python
==1.6.0 Scrapy


نحوه نصب


نصب پکیج whl energy-trading-api-0.0.9:

    pip install energy-trading-api-0.0.9.whl


نصب پکیج tar.gz energy-trading-api-0.0.9:

    pip install energy-trading-api-0.0.9.tar.gz