kedro.io.MemoryDataSet¶
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class
kedro.io.
MemoryDataSet
(data=None, max_loads=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, max_loads])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.save
(data)Saves data by delegation to the provided save method. -
__init__
(data=None, max_loads=None)[source]¶ Creates a new instance of
MemoryDataSet
pointing to the provided Python object.Parameters: - data (
Optional
[Any
]) – Python object containing the data. - max_loads (
Optional
[int
]) – Maximum number of timesload
method can be invoked.MemoryDataSet
data is reset after this number of calls is made. Any number of calls is allowed if the argument is not set.max_loads
counter is reset after everysave
method call.
- 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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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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