Source code for gluonts.dataset.arrow.dec
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#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license" file accompanying this file. This file is distributed
# on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either
# express or implied. See the License for the specific language governing
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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):
return next(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