feat(datasets): Add GoogleSheetsDataset

kedro-datasets/RELEASE.md

@@ -1,6 +1,8 @@
 # Upcoming Release
 ## Major features and improvements
 
+* Added experiment `GoogleSheetsDataset` to read/write data to Google Sheet
+
 ## Bug fixes and other changes
 ## Breaking Changes
 ## Community contributions

kedro-datasets/kedro_datasets/api/api_dataset.py

@@ -1,6 +1,7 @@
 """``APIDataset`` loads the data from HTTP(S) APIs.
 It uses the python requests library: https://requests.readthedocs.io/en/latest/
 """
+
 from __future__ import annotations
 
 import json as json_  # make pylint happy

kedro-datasets/kedro_datasets/biosequence/biosequence_dataset.py

@@ -1,6 +1,7 @@
 """BioSequenceDataset loads and saves data to/from bio-sequence objects to
 file.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/dask/csv_dataset.py

@@ -1,5 +1,6 @@
 """``CSVDataset`` is a data set used to load and save data to CSV files using Dask
 dataframe"""
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/dask/parquet_dataset.py

@@ -1,5 +1,6 @@
 """``ParquetDataset`` is a data set used to load and save data to parquet files using Dask
 dataframe"""
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/databricks/managed_table_dataset.py

@@ -1,6 +1,7 @@
 """``ManagedTableDataset`` implementation to access managed delta tables
 in Databricks.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/email/message_dataset.py

@@ -2,6 +2,7 @@
 using an underlying filesystem (e.g.: local, S3, GCS). It uses the
 ``email`` package in the standard library to manage email messages.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/geopandas/geojson_dataset.py

@@ -2,6 +2,7 @@
 underlying functionality is supported by geopandas, so it supports all
 allowed geopandas (pandas) options for loading and saving geosjon files.
 """
+
 from __future__ import annotations
 
 import copy

kedro-datasets/kedro_datasets/holoviews/holoviews_writer.py

@@ -1,5 +1,6 @@
 """``HoloviewsWriter`` saves Holoviews objects as image file(s) to an underlying
 filesystem (e.g. local, S3, GCS)."""
+
 from __future__ import annotations
 
 import io

kedro-datasets/kedro_datasets/ibis/__init__.py

@@ -1,4 +1,5 @@
 """Provide data loading and saving functionality for Ibis's backends."""
+
 from typing import Any
 
 import lazy_loader as lazy

kedro-datasets/kedro_datasets/ibis/table_dataset.py

@@ -1,4 +1,5 @@
 """Provide data loading and saving functionality for Ibis's backends."""
+
 from __future__ import annotations
 
 from copy import deepcopy
@@ -185,9 +186,11 @@ def _describe(self) -> dict[str, Any]:
             "filepath": self._filepath,
             "file_format": self._file_format,
             "table_name": self._table_name,
-            "backend": self._connection_config.get("backend")
-            if self._connection_config
-            else None,
+            "backend": (
+                self._connection_config.get("backend")
+                if self._connection_config
+                else None
+            ),
             "load_args": self._load_args,
             "save_args": self._save_args,
             "materialized": self._materialized,

kedro-datasets/kedro_datasets/json/json_dataset.py

@@ -1,6 +1,7 @@
 """``JSONDataset`` loads/saves data from/to a JSON file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses native json to handle the JSON file.
 """
+
 from __future__ import annotations
 
 import json

kedro-datasets/kedro_datasets/matlab/matlab_dataset.py

@@ -3,6 +3,7 @@
 the specified backend library passed in (defaults to the ``matlab`` library), so it
 supports all allowed options for loading and saving matlab files.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/matplotlib/matplotlib_writer.py

@@ -1,5 +1,6 @@
 """``MatplotlibWriter`` saves one or more Matplotlib objects as image
 files to an underlying filesystem (e.g. local, S3, GCS)."""
+
 from __future__ import annotations
 
 import base64

kedro-datasets/kedro_datasets/networkx/gml_dataset.py

@@ -2,6 +2,7 @@
 file using an underlying filesystem (e.g.: local, S3, GCS). NetworkX is used to
 create GML data.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/networkx/graphml_dataset.py

@@ -1,6 +1,7 @@
 """NetworkX ``GraphMLDataset`` loads and saves graphs to a GraphML file using an underlying
 filesystem (e.g.: local, S3, GCS). NetworkX is used to create GraphML data.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/networkx/json_dataset.py

@@ -1,6 +1,7 @@
 """``JSONDataset`` loads and saves graphs to a JSON file using an underlying
 filesystem (e.g.: local, S3, GCS). NetworkX is used to create JSON data.
 """
+
 from __future__ import annotations
 
 import json

kedro-datasets/kedro_datasets/pandas/csv_dataset.py

@@ -1,6 +1,7 @@
 """``CSVDataset`` loads/saves data from/to a CSV file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses pandas to handle the CSV file.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/pandas/deltatable_dataset.py

@@ -2,6 +2,7 @@
 S3, GCS), Databricks unity catalog and AWS Glue catalog respectively. It handles
 load and save using a pandas dataframe.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/pandas/excel_dataset.py

@@ -1,6 +1,7 @@
 """``ExcelDataset`` loads/saves data from/to a Excel file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses pandas to handle the Excel file.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/pandas/feather_dataset.py

@@ -2,6 +2,7 @@
 using an underlying filesystem (e.g.: local, S3, GCS). The underlying functionality
 is supported by pandas, so it supports all operations the pandas supports.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/pandas/generic_dataset.py

@@ -2,6 +2,7 @@
 filesystem (e.g.: local, S3, GCS). It uses pandas to handle the
 type of read/write target.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/pandas/hdf_dataset.py

@@ -1,6 +1,7 @@
 """``HDFDataset`` loads/saves data from/to a hdf file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses pandas.HDFStore to handle the hdf file.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/pandas/json_dataset.py

@@ -1,6 +1,7 @@
 """``JSONDataset`` loads/saves data from/to a JSON file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses pandas to handle the JSON file.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/pandas/parquet_dataset.py

@@ -1,6 +1,7 @@
 """``ParquetDataset`` loads/saves data from/to a Parquet file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses pandas to handle the Parquet file.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/pandas/xml_dataset.py

@@ -1,6 +1,7 @@
 """``XMLDataset`` loads/saves data from/to a XML file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses pandas to handle the XML file.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/pickle/pickle_dataset.py

@@ -3,6 +3,7 @@
 the specified backend library passed in (defaults to the ``pickle`` library), so it
 supports all allowed options for loading and saving pickle files.
 """
+
 from __future__ import annotations
 
 import importlib

kedro-datasets/kedro_datasets/pillow/image_dataset.py

@@ -1,6 +1,7 @@
 """``ImageDataset`` loads/saves image data as `numpy` from an underlying
 filesystem (e.g.: local, S3, GCS). It uses Pillow to handle image file.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/plotly/json_dataset.py

@@ -1,6 +1,7 @@
 """``JSONDataset`` loads/saves a plotly figure from/to a JSON file using an underlying
 filesystem (e.g.: local, S3, GCS).
 """
+
 from __future__ import annotations
 
 import json

kedro-datasets/kedro_datasets/plotly/plotly_dataset.py

@@ -2,6 +2,7 @@
 file using an underlying filesystem (e.g.: local, S3, GCS). It loads the JSON into a
 plotly figure.
 """
+
 from __future__ import annotations
 
 import json

kedro-datasets/kedro_datasets/polars/csv_dataset.py

@@ -1,6 +1,7 @@
 """``CSVDataset`` loads/saves data from/to a CSV file using an underlying
 filesystem (e.g.: local, S3, GCS). It uses polars to handle the CSV file.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/polars/eager_polars_dataset.py

@@ -2,6 +2,7 @@
 filesystem (e.g.: local, S3, GCS). It uses polars to handle the
 type of read/write target.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/polars/lazy_polars_dataset.py

@@ -2,6 +2,7 @@
 filesystem (e.g.: local, S3, GCS). It uses polars to handle the
 type of read/write target.
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/redis/redis_dataset.py

@@ -1,6 +1,7 @@
 """``PickleDataset`` loads/saves data from/to a Redis database. The underlying
 functionality is supported by the redis library, so it supports all allowed
 options for instantiating the redis app ``from_url`` and setting a value."""
+
 from __future__ import annotations
 
 import importlib

kedro-datasets/kedro_datasets/snowflake/snowpark_dataset.py

@@ -1,5 +1,6 @@
 """``AbstractDataset`` implementation to access Snowflake using Snowpark dataframes
 """
+
 from __future__ import annotations
 
 import logging

kedro-datasets/kedro_datasets/spark/deltatable_dataset.py

@@ -1,6 +1,7 @@
 """``AbstractDataset`` implementation to access DeltaTables using
 ``delta-spark``.
 """
+
 from __future__ import annotations
 
 from pathlib import PurePosixPath

kedro-datasets/kedro_datasets/spark/spark_hive_dataset.py

@@ -1,6 +1,7 @@
 """``AbstractDataset`` implementation to access Spark dataframes using
 ``pyspark`` on Apache Hive.
 """
+
 from __future__ import annotations
 
 import pickle

kedro-datasets/kedro_datasets/spark/spark_jdbc_dataset.py

@@ -1,4 +1,5 @@
 """SparkJDBCDataset to load and save a PySpark DataFrame via JDBC."""
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/spark/spark_streaming_dataset.py

@@ -1,4 +1,5 @@
 """SparkStreamingDataset to load and save a PySpark Streaming DataFrame."""
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/svmlight/svmlight_dataset.py

@@ -2,6 +2,7 @@
 underlying filesystem (e.g.: local, S3, GCS). It uses sklearn functions
 ``dump_svmlight_file`` to save and ``load_svmlight_file`` to load a file.
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/tensorflow/tensorflow_model_dataset.py

@@ -1,6 +1,7 @@
 """``TensorFlowModelDataset`` is a dataset implementation which can save and load
 TensorFlow models.
 """
+
 from __future__ import annotations
 
 import copy

kedro-datasets/kedro_datasets/text/text_dataset.py

@@ -1,6 +1,7 @@
 """``TextDataset`` loads/saves data from/to a text file using an underlying
 filesystem (e.g.: local, S3, GCS).
 """
+
 from __future__ import annotations
 
 from copy import deepcopy

kedro-datasets/kedro_datasets/video/video_dataset.py

@@ -2,6 +2,7 @@
 filesystem (e.g.: local, S3, GCS). It uses OpenCV VideoCapture to read
 and decode videos and OpenCV VideoWriter to encode and write video.
 """
+
 from __future__ import annotations
 
 import itertools