tfdv.visualize_statistics

Visualize the input statistics using Facets.

tfdv.visualize_statistics(
    lhs_statistics: statistics_pb2.DatasetFeatureStatisticsList,
    rhs_statistics: Optional[statistics_pb2.DatasetFeatureStatisticsList] = None,
    lhs_name: Text = &#x27;lhs_statistics',
    rhs_name: Text = &#x27;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.

tfdv.visualize_statistics

Used in the notebooks

Args

Raises