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tfdv.visualize_statistics

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Visualize the input statistics using Facets.

tfdv.visualize_statistics(
    lhs_statistics: statistics_pb2.DatasetFeatureStatisticsList,
    rhs_statistics: Optional[statistics_pb2.DatasetFeatureStatisticsList] = None,
    lhs_name: Text = 'lhs_statistics',
    rhs_name: Text = 'rhs_statistics',
    allowlist_features: Optional[List[types.FeaturePath]] = None,
    denylist_features: Optional[List[types.FeaturePath]] = None
) -> None

Used in the notebooks

Used in the tutorials
TensorFlow Data Validation FaceSSD Fairness Indicators Example Colab Introduction to Fairness Indicators
Args
lhs_statistics A DatasetFeatureStatisticsList protocol buffer.
rhs_statistics An optional DatasetFeatureStatisticsList protocol buffer to compare with lhs_statistics.
lhs_name Name to use for the lhs_statistics dataset if a name is not already provided within the protocol buffer.
rhs_name Name to use for the rhs_statistics dataset if a name is not already provided within the protocol buffer.
allowlist_features Set of features to be visualized.
denylist_features Set of features to ignore for visualization.
Raises
TypeError If the input argument is not of the expected type.
ValueError If the input statistics protos does not have only one dataset.

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Last updated 2024-10-18 UTC.