kedro.io.CSVS3DataSet¶
-
class
kedro.io.
CSVS3DataSet
(filepath, bucket_name, credentials=None, load_args=None, save_args=None, version=None)[source]¶ Bases:
kedro.io.core.AbstractDataSet
,kedro.io.core.ExistsMixin
,kedro.io.core.S3PathVersionMixIn
CSVS3DataSet
loads and saves data to a file in S3. It uses s3fs to read and write from S3 and pandas to handle the csv file.Example:
from kedro.io import CSVS3DataSet import pandas as pd data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], 'col3': [5, 6]}) data_set = CSVS3DataSet(filepath="test.csv", bucket_name="test_bucket", load_args=None, save_args={"index": False}) data_set.save(data) reloaded = data_set.load() assert data.equals(reloaded)
Methods
CSVS3DataSet.__init__
(filepath, bucket_name)Creates a new instance of CSVS3DataSet
pointing to a concrete csv file on S3.CSVS3DataSet.exists
()Checks whether a data set’s output already exists by calling the provided _exists() method. CSVS3DataSet.from_config
(name, config[, …])Create a data set instance using the configuration provided. CSVS3DataSet.load
()Loads data by delegation to the provided load method. CSVS3DataSet.save
(data)Saves data by delegation to the provided save method. -
__init__
(filepath, bucket_name, credentials=None, load_args=None, save_args=None, version=None)[source]¶ Creates a new instance of
CSVS3DataSet
pointing to a concrete csv file on S3.Parameters: - filepath (
str
) – Path to a csv file. - bucket_name (
str
) – S3 bucket name. - credentials (
Optional
[Dict
[str
,Any
]]) – Credentials to access the S3 bucket, such asaws_access_key_id
,aws_secret_access_key
. - 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 ofkedro.io.core.Version
. If itsload
attribute is None, the latest version will be loaded. If itssave
attribute is None, save version will be autogenerated.
Return type: None
- filepath (
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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.
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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 forload
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 forsave
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.- name (
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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.
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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
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