get_stallion_data# pytorch_forecasting.data.examples.get_stallion_data() → DataFrame[source]# Demand data with covariates. ~20k samples of 350 timeseries. Important columns Timeseries can be identified by agency and sku. volume is the demand date is the month of the demand. Returns: data Return type: pd.DataFrame