TimeSeriesDataFrame.from_path#

classmethod TimeSeriesDataFrame.from_path(path: str, id_column: Optional[str] = None, timestamp_column: Optional[str] = None) → TimeSeriesDataFrame[source]#

Construct a TimeSeriesDataFrame from a CSV or Parquet file.

Parameters

  • path (str) –

    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) – Name of the ‘item_id’ column if column name is different

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

Returns

ts_df – A data frame in TimeSeriesDataFrame format.

Return type

TimeSeriesDataFrame