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2.0\")\n![Python 3.10+](https://img.shields.io/pypi/pyversions/energyquantified.svg?style=flat \"Python versions\")\n![Wheel](https://img.shields.io/pypi/wheel/energyquantified \"Wheel\")\n\n[Documentation](https://energyquantified-python.readthedocs.io) |\n[Python package](https://pypi.org/project/energyquantified/) |\n[GitHub repository](https://github.com/energyquantified/eq-python-client)\n\nThe Python library for [Energy Quantified](https://www.energyquantified.com)'s\nTime Series API. It allows you to access thousands of data series directly from\nEnergy Quantified's time series database. It integrates with the popular\n[pandas](https://pandas.pydata.org/docs/) library and the [polars](https://docs.pola.rs/)\nlibarary for high-performance data analysis and manipulation.\n\nDeveloped for **Python 3.10+**.\n\n```python\nfrom datetime import date, timedelta\nfrom energyquantified import EnergyQuantified\n\n# Initialize client\neq = EnergyQuantified(api_key='\u003cinsert api key here\u003e')\n\n# Freetext search (filtering on attributes is also supported)\ncurves = eq.metadata.curves(q='de wind production actual')\n\n# Load time series data\ncurve = curves[0]\ntimeseries = eq.timeseries.load(\n    curve,\n    begin=date.today() - timedelta(days=10),\n    end=date.today()\n)\n\n# Convert to Pandas data frame\npd_df = timeseries.to_pandas_dataframe()\n\n# Convert to Polars data frame\npl_df = timeseries.to_polars_dataframe()\n```\n\nFull [documentation](https://energyquantified-python.readthedocs.io) available\nat Read the Docs.\n\n## Features\n\n- Simple authentication\n- Metadata caching\n- Rate-limiting and automatic retries on network errors\n- Full-text search and keyword search for curves and powerplants\n- Forecasts- and time series data\n- Period-based data\n- OHLC data with SRMC calculations\n- Shows your subscription for each data series\n- Support for timezones, resolutions, aggregations and unit conversions\n- Easy-to-use filters for issue dates and forecast types\n- Push feed for live updates on data modifications\n- Integrates with pandas and polars\n\n**Note:** A user account with an API key is required to use this library.\nCreate an account on [Energy Quantified](https://www.energyquantified.com)'s\nhome page. Trial users get access to 30 days of history.\n\n## Installation\n\nInstall with **pip**:\n\n```bash\n# Install\npip install energyquantified\n\n# Upgrade\npip install --upgrade energyquantified\n```\n\n## Documentation\n\nFind the [documentation](https://energyquantified-python.readthedocs.io) at\nRead the Docs.\n\n## License\n\nThe Energy Quantified Python client is licensed under the\n[Apache License version 2.0](https://opensource.org/licenses/Apache-2.0).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenergyquantified%2Feq-python-client","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fenergyquantified%2Feq-python-client","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fenergyquantified%2Feq-python-client/lists"}