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from so_magic.data.backend.engine_specs import EngineTabularRetriever, EngineTabularIterator, EngineTabularMutator |
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__all__ = ['PDTabularRetrieverDelegate', 'PDTabularIteratorDelegate', 'PDTabularMutatorDelegate'] |
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# DELEGATES |
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# User defined (engine dependent implementations of tabular operations) |
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class PDTabularRetrieverDelegate(EngineTabularRetriever): |
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"""The observation object is the same as the one your return from 'from_json_lines'""" |
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@classmethod |
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def column(cls, identifier, data): |
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return data.observations[identifier] |
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@classmethod |
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def row(cls, identifier, data): |
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return data.observations.loc(identifier) |
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@classmethod |
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def nb_columns(cls, data): |
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return len(data.observations.columns) |
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@classmethod |
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def nb_rows(cls, data): |
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print('\n------ DEBUG NB ROWS PDTabularRetrieverDelegate DATA TYPE', type(data), ' ------\n') |
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return len(data.observations) |
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@classmethod |
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def get_numerical_attributes(cls, data): |
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return data.observations._get_numeric_data().columns.values |
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class PDTabularIteratorDelegate(EngineTabularIterator): |
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"""The observation object is the same as the one your return from 'from_json_lines'""" |
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@classmethod |
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def columnnames(cls, data): |
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return list(data.observations.columns) |
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@classmethod |
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def iterrows(cls, data): |
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return iter(data.observations.iterrows()) |
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@classmethod |
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def itercolumns(cls, data): |
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return iter(data.observations[column] for column in data.observations.columns) |
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class PDTabularMutatorDelegate(EngineTabularMutator): |
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@classmethod |
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def add_column(cls, datapoints, values, new_attribute, **kwargs): |
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datapoints.observations[new_attribute] = values |
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boromir674 /
so-magic
