Data Requirements

This section explains the data requirements for TimeGPT .

TimeGPT accepts pandas dataframes in long format with the following necessary columns:

ds (timestamp): timestamp in format YYYY-MM-DD or YYYY-MM-DD HH:MM:SS .

y (numeric): The target variable to forecast.

(Optionally, you can also pass a DataFrame without the

ds column as long as it has DatetimeIndex)

TimeGPT also works with distributed dataframes like dask , spark and ray .

You can also include exogenous features in the DataFrame as additional columns. For more information, follow this tutorial .

Below is an example of a valid input dataframe for

TimeGPT .

Python