Examples

To run the examples, you need to install matplotlib and plotly. Using pip, you can install them with the following command:

pip install matplotlib plotly

TIME_SERIES curve examples

Simple example how to read a TIME_SERIES curve ([view on github] , [download])
Aggregation example ([view on github] , [download])
Aggregation example - changing timezones ([view on github] , [download])
Filter example ([view on github] , [download])
Read multiple curves and save them as csv ([view on github] , [download])

Simple example how to read an INSTANCE curve ([view on github] , [download])
Get multiple instances ([view on github] , [download])
Get latest instance ([view on github] , [download])
Get multiple instance curves and save them as csv ([view on github] , [download])
Simple example on how to get a relative forecast ([view on github] , [download])

Simple example how to read a TAGGED_INSTANCE curve and get available tags ([view on github] , [download])
Read data for multiple tags ([view on github] , [download])
Get multiple instances ([view on github] , [download])
Get latest instance ([view on github] , [download])

Listening for changes for several Solar and Wind curves and append new data to a csv file for each new event ([view on github] , [download])

Comparing PV forecast and actuals ([view on github] , [download])
Combining Series to DataFrame in pandas ([view on github] , [download])
Saving pandas Series and DataFrames to csv and xlsx ([view on github] , [download])
Aggregation examples using pandas ([view on github] , [download])

Simple example on how to get the intraday price forecast. ([view on github] , [download])
Example on how to get the absolute forecast for the intraday price. The absolute forecast shows the price development over time for a specific contract. ([view on github] , [download])
Example on how to create lead time analysis plots. These plots show how the difference between a chosen benchmark forecast and one of our intraday forecasts develops over time ([view on github] , [download])