Source code for gluonts.dataset.arrow.dec

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from dataclasses import dataclass
from typing import List, Tuple

import numpy as np


[docs]@dataclass class ArrowDecoder: reshape_columns: List[Tuple[str, str]]
[docs] @classmethod def from_schema(cls, schema): return cls( [ (column.name[: -len("._np_shape")], column.name) for column in schema if column.name.endswith("._np_shape") ] )
[docs] def decode(self, batch, row_number: int): yield from self.decode_batch(batch.slice(row_number, row_number + 1))
[docs] def decode_batch(self, batch): for row in batch.to_pandas().to_dict("records"): for column_name, shape_column in self.reshape_columns: row[column_name] = row[column_name].reshape( row.pop(shape_column) ) for name, value in row.items(): if type(value) == np.ndarray and value.dtype == object: row[name] = np.stack(value) yield row