TimeSeriesDataFrame.from_path

classmethod TimeSeriesDataFrame.from_path(path: str | Path, id_column: str | None = None, timestamp_column: str | None = None, static_features_path: str | Path | None = None) → TimeSeriesDataFrame

Construct a TimeSeriesDataFrame from a CSV or Parquet file.

Parameters:

• path (str or pathlib.Path) –

  Path to a local or remote (e.g., S3) file containing the time series data in CSV or Parquet format. Example file contents:

  item_id,timestamp,target
  0,2019-01-01,0
  0,2019-01-02,1
  0,2019-01-03,2
  1,2019-01-01,3
  1,2019-01-02,4
  1,2019-01-03,5
  2,2019-01-01,6
  2,2019-01-02,7
  2,2019-01-03,8
  

• id_column (str, optional) – Name of the ‘item_id’ column if column name is different

• timestamp_column (str, optional) – Name of the ‘timestamp’ column if column name is different

• static_features_path (str or pathlib.Path, optional) –

  Path to a local or remote (e.g., S3) file containing static features in CSV or Parquet format. Example file contents:

  item_id,feat_1,feat_2
  0,foo,0.5
  1,foo,2.2
  2,bar,0.1
  

Returns:

ts_df – A data frame in TimeSeriesDataFrame format.

Return type:

TimeSeriesDataFrame