kedro.io.MemoryDataSet¶
-
class
kedro.io.
MemoryDataSet
(data=None, max_loads=None)[source]¶ 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)
-
__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 (
Methods
__init__
([data, max_loads])Creates a new instance of MemoryDataSet
pointing to the provided Python object.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. -