kedro.io.CSVLocalDataSet

class kedro.io.CSVLocalDataSet(filepath, load_args=None, save_args=None, version=None)

CSVLocalDataSet loads and saves data to a local csv file. The underlying functionality is supported by pandas, so it supports all allowed pandas options for loading and saving csv files.

Example:

from kedro.io import CSVLocalDataSet
import pandas as pd

data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5],
                     'col3': [5, 6]})
data_set = CSVLocalDataSet(filepath="test.csv",
                                 load_args=None,
                                 save_args={"index": False})
data_set.save(data)
reloaded = data_set.load()

assert data.equals(reloaded)

__init__(filepath, load_args=None, save_args=None, version=None)

Creates a new instance of CSVLocalDataSet pointing to a concrete filepath.

Parameters:

• filepath (str) – path to a csv file.
• load_args (Optional[Dict[str, Any]]) – Pandas options for loading csv files. Here you can find all available arguments: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html All defaults are preserved.
• save_args (Optional[Dict[str, Any]]) – Pandas options for saving csv files. Here you can find all available arguments: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_csv.html All defaults are preserved, but “index”, which is set to False.
• version (Optional[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.

Return type:

None

Methods

__init__(filepath[, load_args, save_args, …])	Creates a new instance of CSVLocalDataSet pointing to a concrete filepath.
exists()	Checks whether a data set’s output already exists by calling the provided _exists() method.
from_config(name, config[, load_version, …])	Create a data set instance using the configuration provided.
load()	Loads data by delegation to the provided load method.
save(data)	Saves data by delegation to the provided save method.