Documentation | Python package | GitHub repository
The 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>')
# Freetext search (filtering on attributes is also supported)
curves = eq.metadata.curves(q='de wind production actual')
# Load time series data
curve = curves[0]
timeseries = eq.timeseries.load(
curve,
begin=date.today() - timedelta(days=10),
end=date.today()
)
# Convert to Pandas data frame
df = timeseries.to_dataframe()
Full documentation available at Read the Docs.
Note: A user account with an API key is required to use this library. Create an account on Energy Quantified's home page. Trial users get access to 30 days of history.
Install with pip:
# Install
pip install energyquantified
# Upgrade
pip install --upgrade energyquantified
Find the documentation at Read the Docs.
The Energy Quantified Python client is licensed under the Apache License version 2.0.