Source code for kedro.io.excel_local

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"""``ExcelLocalDataSet`` loads and saves data to a local Excel file. The
underlying functionality is supported by pandas, so it supports all
allowed pandas options for loading and saving Excel files.
"""
import copy
from pathlib import Path
from typing import Any, Dict, Union

import pandas as pd

from kedro.io.core import AbstractVersionedDataSet, Version


[docs]class ExcelLocalDataSet(AbstractVersionedDataSet): """``ExcelLocalDataSet`` loads and saves data to a local Excel file. The underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving Excel files. Example: :: >>> from kedro.io import ExcelLocalDataSet >>> import pandas as pd >>> >>> data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], >>> 'col3': [5, 6]}) >>> data_set = ExcelLocalDataSet( >>> filepath="test.xlsx", >>> load_args={"sheet_name": "Sheet1"}, >>> save_args={"writer": {"date_format": "YYYY-MM-DD"}}, >>>) >>> data_set.save(data) >>> reloaded = data_set.load() >>> >>> assert data.equals(reloaded) """ DEFAULT_LOAD_ARGS = {"engine": "xlrd"} DEFAULT_SAVE_ARGS = {"index": False} def _describe(self) -> Dict[str, Any]: return dict( filepath=self._filepath, load_args=self._load_args, save_args=self._save_args, writer_args=self._writer_args, version=self._version, ) # pylint: disable=too-many-arguments
[docs] def __init__( self, filepath: str, engine: str = "xlsxwriter", load_args: Dict[str, Any] = None, save_args: Dict[str, Any] = None, version: Version = None, ) -> None: """Creates a new instance of ``ExcelLocalDataSet`` pointing to a concrete filepath. Args: engine: The engine used to write to excel files. The default engine is 'xlsxwriter'. filepath: path to an Excel file. load_args: Pandas options for loading Excel files. Here you can find all available arguments: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_excel.html The default_load_arg engine is 'xlrd', all others preserved. save_args: Pandas options for saving Excel files. Here you can find all available arguments: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_excel.html All defaults are preserved, but "index", which is set to False. If you would like to specify options for the `ExcelWriter`, you can include them under "writer" key. Here you can find all available arguments: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.ExcelWriter.html version: If specified, should be an instance of ``kedro.io.core.Version``. If its ``load`` attribute is None, the latest version will be loaded. If its ``save`` attribute is None, save version will be autogenerated. """ super().__init__(Path(filepath), version) # Handle default load and save arguments self._load_args = copy.deepcopy(self.DEFAULT_LOAD_ARGS) if load_args is not None: self._load_args.update(load_args) self._save_args = copy.deepcopy(self.DEFAULT_SAVE_ARGS) self._writer_args = {"engine": engine} # type: Dict[str, Any] if save_args is not None: writer_args = save_args.pop("writer", {}) # type: Dict[str, Any] self._writer_args.update(writer_args) self._save_args.update(save_args)
def _load(self) -> Union[pd.DataFrame, Dict[str, pd.DataFrame]]: load_path = Path(self._get_load_path()) return pd.read_excel(load_path, **self._load_args) def _save(self, data: pd.DataFrame) -> None: save_path = Path(self._get_save_path()) save_path.parent.mkdir(parents=True, exist_ok=True) with pd.ExcelWriter( # pylint: disable=abstract-class-instantiated str(save_path), **self._writer_args ) as writer: data.to_excel(writer, **self._save_args) def _exists(self) -> bool: path = self._get_load_path() return Path(path).is_file()