kedro.io.MemoryDataSet¶
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class
kedro.io.
MemoryDataSet
(data=<object object>, copy_mode=None)[source]¶ Bases:
kedro.io.core.AbstractDataSet
MemoryDataSet
loads and saves data from/to an in-memory Python object.Example:
from kedro.io import MemoryDataSet import pandas as pd data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5], 'col3': [5, 6]}) data_set = MemoryDataSet(data=data) loaded_data = data_set.load() assert loaded_data.equals(data) new_data = pd.DataFrame({'col1': [1, 2], 'col2': [4, 5]}) data_set.save(new_data) reloaded_data = data_set.load() assert reloaded_data.equals(new_data)
Methods
MemoryDataSet.__init__
([data, copy_mode])Creates a new instance of MemoryDataSet
pointing to the provided Python object.MemoryDataSet.exists
()Checks whether a data set’s output already exists by calling the provided _exists() method. MemoryDataSet.from_config
(name, config[, …])Create a data set instance using the configuration provided. MemoryDataSet.load
()Loads data by delegation to the provided load method. MemoryDataSet.release
()Release any cached data. MemoryDataSet.save
(data)Saves data by delegation to the provided save method. -
__init__
(data=<object object>, copy_mode=None)[source]¶ Creates a new instance of
MemoryDataSet
pointing to the provided Python object.Parameters: - data (
Any
) – Python object containing the data. - copy_mode (
Optional
[str
]) – The copy mode used to copy the data. Possible values are: “deepcopy”, “copy” and “assign”. If not provided, it is inferred based on the data type.
- data (
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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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release
()¶ Release any cached data.
Raises: DataSetError
– when underlying release method raises error.Return type: None
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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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