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