read_data

lightautoml.reader.tabular_batch_generator.read_data(data, features_names=None, n_jobs=1, read_csv_params=None)

Get DataFrame from different data formats.

Note

Supported now data formats:

• Path to .csv, .parquet, .feather files.

• ndarray, or dict of ndarray. For example, {'data': X...}. In this case, roles are optional, but train_features and valid_features required.

• pandas.DataFrame.

Parameters:

• data (Union[str, ndarray, DataFrame, Dict[str, ndarray], Batch]) – Readable to DataFrame data.

• features_names (Optional[Sequence[str]]) – Optional features names if numpy.ndarray.

• n_jobs (int) – Number of processes to read file.

• read_csv_params (Optional[dict]) – Params to read csv file.

Return type:

Tuple[DataFrame, Optional[dict]]

Returns:

Tuple with read data and new roles mapping.