Python client for Energy Quantified’s Time Series API¶
Release 0.6 (Installation)
The official Python library for Energy Quantified’s Time Series API. It allows you to access thousands of data series directly from Energy Quantified’s time series database. It integrates with the popular pandas library for high-performance data analysis and manipulation.
Developed for Python 3.7+.
from datetime import date, timedelta from energyquantified import EnergyQuantified # Initialize client eq = EnergyQuantified(api_key='<insert api key here>') # Free-text search (filtering on attributes is also supported) curves = eq.metadata.curves(q='de wind production actual') # Load time series data curve = curves timeseries = eq.timeseries.load( curve, begin=date.today() - timedelta(days=10), end=date.today() ) # Convert to Pandas data frame df = timeseries.to_dataframe()
Rate-limiting and automatic retries on network errors
Full-text search and keyword search for curves and powerplants
Forecasts- and time series data
SRMC calculations on OHLC data
(TODO) Shows your subscription for each series
Support for time-zones, resolutions and aggregations
Easy-to-use filters for issue dates and forecast types
Integrates with pandas
Note: A user account is required to use this client. You can create one on Energy Quantified’s home page.
- Terminology and data models
- Time series
- Period-based series
- Period-based instances
- Short-run marginal costs (SRMC)
- Pandas integration