load_from_arff_to_dataframe

torchtime.io.load_from_arff_to_dataframe(file_path: str, return_labels: bool = True, nan_to: str = 'NaN')

Load data from a .ts file into a Pandas DataFrame.

Parameters:

• file_path (str) – The full pathname of the .ts file to read.

• return_labels (bool) – true then X and Y values should be returned as separate Data Frames ( X) and a numpy array (y), false otherwise. This is only relevant for data.

• nan_to (str) – The value that missing values in the text file should be replaced with prior to parsing.

Returns:

If return_separate_X_and_y then a tuple containing a DataFrame and a

numpy array containing the relevant time-series and corresponding class values.

DataFrame: If not return_separate_X_and_y then a single DataFrame containing

all time-series and (if relevant) a column “class_vals” the associated class values.

Return type:

DataFrame, ndarray