kedro.extras.datasets.pandas.AppendableExcelDataSet

class kedro.extras.datasets.pandas.AppendableExcelDataSet(filepath, load_args=None, save_args=None)[source]

Bases: kedro.io.core.AbstractDataSet

AppendableExcelDataSet loads/saves data from/to a local Excel file opened in append mode. It uses pandas to handle the Excel file.

Example:

from kedro.extras.datasets.pandas import AppendableExcelDataSet
from kedro.extras.datasets.pandas import ExcelDataSet
import pandas as pd

data_1 = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5],
                     'col3': [5, 6]})

data_2 = pd.DataFrame({'col1': [7, 8], 'col2': [5, 7]})

regular_ds = ExcelDataSet(filepath="/tmp/test.xlsx")
appendable_ds = AppendableExcelDataSet(
    filepath="/tmp/test.xlsx",
    save_args={"sheet_name": "my_sheet"},
    load_args={"sheet_name": "my_sheet"}
)

regular_ds.save(data_1)
appendable_ds.save(data_2)
reloaded = appendable_ds.load()
assert data_2.equals(reloaded)

Attributes

AppendableExcelDataSet.DEFAULT_LOAD_ARGS
AppendableExcelDataSet.DEFAULT_SAVE_ARGS

Methods

AppendableExcelDataSet.__init__(filepath[, …]) Creates a new instance of AppendableExcelDataSet pointing to an existing local Excel file to be opened in append mode.
AppendableExcelDataSet.exists() Checks whether a data set’s output already exists by calling the provided _exists() method.
AppendableExcelDataSet.from_config(name, config) Create a data set instance using the configuration provided.
AppendableExcelDataSet.load() Loads data by delegation to the provided load method.
AppendableExcelDataSet.release() Release any cached data.
AppendableExcelDataSet.save(data) Saves data by delegation to the provided save method.
DEFAULT_LOAD_ARGS = {'engine': 'openpyxl'}
DEFAULT_SAVE_ARGS = {'index': False}
__init__(filepath, load_args=None, save_args=None)[source]

Creates a new instance of AppendableExcelDataSet pointing to an existing local Excel file to be opened in append mode.

Parameters:
Return type:

None
exists()

Checks whether a data set’s output already exists by calling the provided _exists() method.

Return type:bool
Returns:Flag indicating whether the output already exists.
Raises:DataSetError – when underlying exists method raises error.
classmethod from_config(name, config, load_version=None, save_version=None)

Create a data set instance using the configuration provided.

Parameters:
  • name (str) – Data set name.
  • config (Dict[str, Any]) – Data set config dictionary.
  • load_version (Optional[str]) – Version string to be used for load operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.
  • save_version (Optional[str]) – Version string to be used for save operation if the data set is versioned. Has no effect on the data set if versioning was not enabled.
Return type:

AbstractDataSet
Returns:

An instance of an AbstractDataSet subclass.
Raises:

DataSetError – When the function fails to create the data set from its config.
load()

Loads data by delegation to the provided load method.

Return type:Any
Returns:Data returned by the provided load method.
Raises:DataSetError – When underlying load method raises error.
release()

Release any cached data.

Raises:DataSetError – when underlying release method raises error.
Return type:None
save(data)

Saves data by delegation to the provided save method.

Parameters:data (Any) – the value to be saved by provided save method.
Raises:DataSetError – when underlying save method raises error.
Return type:None