sdkagent

google-cloud-python API reference

400 public APIs from google-cloud-python (googleapis/google-cloud-python) — 206 classes, 79 functions, 115 methods. Signatures extracted by static analysis of the actual source.

Repository: googleapis/google-cloud-python

KindCount
Classes206
Functions79
Methods115

API list

methodpackages.bigframes.bigframes._config.global_options.Options.reset() -> Options
Reset the option settings to defaults.
funcpackages.bigframes.bigframes._tools.strings.levenshtein_distance(left:str, right:str) -> int
Compute the edit distance between two strings.
funcpackages.bigframes.bigframes.bigquery._operations.utils.to_sql(df_or_sql:Union[pd.DataFrame, dataframe.DataFrame, str]) -> str
Helper to convert DataFrame to SQL string
methodpackages.bigframes.bigframes.core.array_value.ArrayValue.column_ids() -> typing.Sequence[str]
Returns column ids as strings.
methodpackages.bigframes.bigframes.core.array_value.ArrayValue.concat(other:typing.Sequence[ArrayValue]) -> ArrayValue
Append together multiple ArrayValue objects.
funcpackages.bigframes.bigframes.core.backports.pyarrow_struct_type_fields(struct_type:pyarrow.StructType) -> List[pyarrow.Field]
StructType.fields was added in pyarrow 18.
classpackages.bigframes.bigframes.core.blocks.Block
A immutable 2D data structure.
methodpackages.bigframes.bigframes.core.blocks.Block.apply_unary_op(column:str, op:ops.UnaryOp, result_label:Label=None) -> typing.Tuple[Block, str]
Apply a unary op to the block.
methodpackages.bigframes.bigframes.core.blocks.Block.cached(*force:bool=False, *session_aware:bool=False) -> None
Write the block to a session table.
methodpackages.bigframes.bigframes.core.blocks.Block.drop_columns(ids_to_drop:typing.Sequence[str]) -> Block
Drops columns by id.
methodpackages.bigframes.bigframes.core.blocks.Block.index() -> BlockIndexProperties
Row identities for values in the Block.
methodpackages.bigframes.bigframes.core.blocks.Block.index_columns() -> Sequence[str]
Column(s) to use as row labels.
methodpackages.bigframes.bigframes.core.blocks.Block.project_expr(expr:ex.Expression, label:Label=None) -> typing.Tuple[Block, str]
Apply a scalar expression to the block.
methodpackages.bigframes.bigframes.core.blocks.Block.transpose(*original_row_index:Optional[pd.Index]=None, *single_row_mode:bool=False) -> Block
Transpose the block.
classpackages.bigframes.bigframes.core.blocks.BlockIndexProperties
Accessor for the index-related block properties.
methodpackages.bigframes.bigframes.core.blocks.BlockIndexProperties.column_ids() -> Sequence[str]
Column(s) to use as row labels.
classpackages.bigframes.bigframes.core.bq_data.BigqueryDataSource
Google BigQuery Data source.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.ibis_compiler.compile_node(node:nodes.BigFrameNode) -> compiled.UnorderedIR
Compile node into CompileArrayValue.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.operations.geo_ops.st_boundary(a:ibis_dtypes.geography) -> ibis_dtypes.geography
Find the boundary of a geography.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.operations.geo_ops.st_convexhull(x:ibis_dtypes.geography) -> ibis_dtypes.geography
ST_CONVEXHULL
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.operations.geo_ops.st_distance(a:ibis_dtypes.geography, b:ibis_dtypes.geography, use_spheroid:bool) -> ibis_dtypes.float
Convert string to geography.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.operations.geo_ops.st_geogfromtext(a:str) -> ibis_dtypes.geography
Convert string to geography.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.operations.geo_ops.st_isclosed(a:ibis_dtypes.geography) -> ibis_dtypes.boolean
Checks if a geography is closed.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.operations.geo_ops.st_length(geog:ibis_dtypes.geography, use_spheroid:bool) -> ibis_dtypes.float
ST_LENGTH BQ builtin.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.scalar_op_registry.float_ceil(a:float) -> float
Convert string to timestamp.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.scalar_op_registry.float_floor(a:float) -> float
Convert string to timestamp.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.scalar_op_registry.obj_make_ref_json(objectref_json:ibis_dtypes.JSON) -> _OBJ_REF_IBIS_DTYPE
Make ObjectRef Struct from json.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.scalar_op_registry.to_json(json_obj) -> ibis_dtypes.JSON
Convert to JSON.
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.scalar_op_registry.unix_micros(a:ibis_dtypes.timestamp) -> int
Convert a timestamp to microseconds
funcpackages.bigframes.bigframes.core.compile.ibis_compiler.scalar_op_registry.unix_millis(a:ibis_dtypes.timestamp) -> int
Convert a timestamp to milliseconds
funcpackages.bigframes.bigframes.core.compile.schema_translator.convert_bf_schema(schema:bf_schema.ArraySchema) -> ibis_sch.Schema
Convert bigframes schema to ibis schema.
classpackages.bigframes.bigframes.core.compile.sqlglot.expressions.typed_expr.TypedExpr
SQLGlot expression with type.
funcpackages.bigframes.bigframes.core.compile.sqlglot.sql.base.cast(arg:typing.Any, to:str, safe:bool=False) -> sge.Cast | sge.TryCast
Return a SQL expression that casts the given argument to the specified type.
funcpackages.bigframes.bigframes.core.compile.sqlglot.sql.base.identifier(id:str) -> sge.Identifier
Return a string representing column reference in a SQL.
funcpackages.bigframes.bigframes.core.compile.sqlglot.sql.base.is_null_literal(expr:sge.Expression) -> bool
Checks if the given expression is a NULL literal.
funcpackages.bigframes.bigframes.core.compile.sqlglot.sql.base.literal(value:typing.Any, dtype:dtypes.Dtype | None=None) -> sge.Expression
Return a string representing column reference in a SQL.
funcpackages.bigframes.bigframes.core.compile.sqlglot.sql.base.to_sql(expr:sge.Expression) -> str
Generate SQL string from the given expression.
funcpackages.bigframes.bigframes.core.compile.sqlglot.sql.dml.replace(query_or_table:typing.Union[sge.Select, sge.Table], destination:bigquery.TableReference) -> sge.Merge
Generates a MERGE statement to replace the contents of the destination table.
classpackages.bigframes.bigframes.core.events.BigQueryFinishedEvent
Query finished successfully.
classpackages.bigframes.bigframes.core.events.BigQuerySentEvent
Query sent to BigQuery.
classpackages.bigframes.bigframes.core.expression.DerefOp
An expression that refers to a column by ID.
classpackages.bigframes.bigframes.core.expression.OpExpression
An expression representing a scalar operation applied to 1 or more argument sub-expressions.
funcpackages.bigframes.bigframes.core.expression_factoring.unique_nodes(roots:Sequence[expression.Expression]) -> Generator[expression.Expression, None, None]
Walks the tree for unique nodes
funcpackages.bigframes.bigframes.core.global_session.get_global_session()
Gets the global session.
classpackages.bigframes.bigframes.core.identifiers.ColumnId
Local id without plan-wide id.
methodpackages.bigframes.bigframes.core.identifiers.ColumnId.local_normalized() -> ColumnId
For use in compiler only.
methodpackages.bigframes.bigframes.core.identifiers.ColumnId.sql() -> str
Returns the unescaped SQL name.
classpackages.bigframes.bigframes.core.interchange.InterchangeDataFrame
Implements the dataframe interchange format.
classpackages.bigframes.bigframes.core.py_expressions.Call
An expression representing a scalar constant.
classpackages.bigframes.bigframes.core.py_expressions.Module
An expression representing a module reference.
classpackages.bigframes.bigframes.core.py_expressions.PyObject
An expression representing a module reference.
funcpackages.bigframes.bigframes.core.rewrite.nullity.simplify_join(node:nodes.BigFrameNode) -> nodes.BigFrameNode
Simplify a join node by removing nullity checks.
classpackages.bigframes.bigframes.core.sentinels.Sentinel
Default values used throughout BigFrames.
funcpackages.bigframes.bigframes.core.sql.cast_as_string(column_name:str) -> str
Return a string representing string casting of a column.
funcpackages.bigframes.bigframes.core.sql.csv(values:Iterable[str]) -> str
Return a string of comma separated values.
funcpackages.bigframes.bigframes.core.sql.escape_chars(value:str)
Escapes all special characters
funcpackages.bigframes.bigframes.core.sql.ml.get_insights(model_name:str) -> str
Encode the ML.GET_INSIGHTS statement.
funcpackages.bigframes.bigframes.core.sql.ml.global_explain(model_name:str, *class_level_explain:Optional[bool]=None) -> str
Encode the ML.GLOBAL_EXPLAIN statement.
funcpackages.bigframes.bigframes.core.sql.ml.predict(model_name:str, table:str, *threshold:Optional[float]=None, *keep_original_columns:Optional[bool]=None, *trial_id:Optional[int]=None) -> str
Encode the ML.PREDICT statement.
funcpackages.bigframes.bigframes.core.sql.ml.transform(model_name:str, table:str) -> str
Encode the ML.TRANSFORM statement.
funcpackages.bigframes.bigframes.core.sql.to_json_string(column_name:str) -> str
Return a string representing JSON version of a column.
funcpackages.bigframes.bigframes.core.utils.preview(*name:str)
Decorate to warn of a preview API.
funcpackages.bigframes.bigframes.core.window_spec.unbound(grouping_keys:Tuple[str, ...]=(), min_periods:int=0, ordering:Tuple[orderings.OrderingExpression, ...]=()) -> WindowSpec
Create an unbound window.
methodpackages.bigframes.bigframes.dataframe.DataFrame.peek(n:int=5, *force:bool=True, *allow_large_results=None) -> pandas.DataFrame
Preview n arbitrary rows from the dataframe.
funcpackages.bigframes.bigframes.dtypes.coerce_to_common(etype1:ExpressionType, etype2:ExpressionType) -> ExpressionType
Coerce types to a common type or throw a TypeError
funcpackages.bigframes.bigframes.dtypes.list_type(values_type:Dtype) -> Dtype
Create a list dtype with given value type.
funcpackages.bigframes.bigframes.dtypes.struct_type(fields:Sequence[tuple[str, Dtype]]) -> Dtype
Create a struct dtype with give fields names and types.
classpackages.bigframes.bigframes.enums.OrderingMode
Values used to determine the ordering mode.
classpackages.bigframes.bigframes.exceptions.ApiDeprecationWarning
The API has been deprecated.
classpackages.bigframes.bigframes.exceptions.BadIndexerKeyWarning
The indexer key is not used correctly.
classpackages.bigframes.bigframes.exceptions.DefaultIndexWarning
Default index may cause unexpected costs.
classpackages.bigframes.bigframes.exceptions.NullIndexError
Object has no index.
classpackages.bigframes.bigframes.exceptions.NullIndexPreviewWarning
Unused.
classpackages.bigframes.bigframes.exceptions.ObsoleteVersionWarning
The BigFrames version is too old.
classpackages.bigframes.bigframes.exceptions.OperationAbortedError
Operation is aborted.
classpackages.bigframes.bigframes.exceptions.OrderingModePartialPreviewWarning
Unused.
classpackages.bigframes.bigframes.exceptions.PreviewWarning
The feature is in preview.
classpackages.bigframes.bigframes.exceptions.PythonTranspilerPreviewWarning
Python Transpiler is a preview feature.
classpackages.bigframes.bigframes.exceptions.QueryComplexityError
Query plan is too complex to execute.
classpackages.bigframes.bigframes.exceptions.TimeTravelDisabledWarning
A query was reattempted without time travel.
classpackages.bigframes.bigframes.exceptions.UnknownDataTypeWarning
Data type is unknown.
classpackages.bigframes.bigframes.exceptions.UnknownLocationWarning
The location is set to an unknown value.
funcpackages.bigframes.bigframes.exceptions.format_message(message:str, fill:bool=True)
[Private] Formats a warning message.
methodpackages.bigframes.bigframes.extensions.core.series_accessor.BigQuerySeriesAccessor.parse_numeric(*session:Optional[session.Session]=None) -> S
Converts a STRING to a NUMERIC value.
classpackages.bigframes.bigframes.features.PandasVersions
Version comparisons for pandas package
methodpackages.bigframes.bigframes.features.PandasVersions.installed_version() -> Tuple[str, ...]
pandas version
funcpackages.bigframes.bigframes.formatting_helpers.wait_for_job(job:GenericJob, progress_bar:Optional[str]=None)
Waits for job results.
classpackages.bigframes.bigframes.functions._function_session.FunctionSession
Session to manage bigframes functions.
classpackages.bigframes.bigframes.functions.function.Udf
Protocol for all BigFrames user-defined functions.
classpackages.bigframes.bigframes.ml.base.BaseTransformer
Transformer base class.
methodpackages.bigframes.bigframes.ml.base.BaseTransformer.to_gbq(model_name:str, replace:bool=False) -> _T
Save the transformer as a BigQuery model.
methodpackages.bigframes.bigframes.ml.base.Predictor.register(vertex_ai_model_id:Optional[str]=None) -> _T
Register the model to Vertex AI.
methodpackages.bigframes.bigframes.ml.cluster.KMeans.to_gbq(model_name:str, replace:bool=False) -> KMeans
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.core.BaseBqml
Base class for BQML functionalities.
classpackages.bigframes.bigframes.ml.core.BqmlModel
Represents an existing BQML model in BigQuery.
methodpackages.bigframes.bigframes.ml.core.BqmlModel.model_name() -> str
Get the fully qualified name of the model, i.e.
methodpackages.bigframes.bigframes.ml.decomposition.PCA.detect_anomalies(X:utils.ArrayType, *contamination:float=0.1) -> bpd.DataFrame
Detect the anomaly data points of the input.
methodpackages.bigframes.bigframes.ml.decomposition.PCA.to_gbq(model_name:str, replace:bool=False) -> PCA
Save the model to BigQuery.
methodpackages.bigframes.bigframes.ml.ensemble.RandomForestClassifier.to_gbq(model_name:str, replace:bool=False) -> RandomForestClassifier
Save the model to BigQuery.
methodpackages.bigframes.bigframes.ml.ensemble.RandomForestRegressor.to_gbq(model_name:str, replace:bool=False) -> RandomForestRegressor
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.forecasting.ARIMAPlus
Time Series ARIMA Plus model.
methodpackages.bigframes.bigframes.ml.forecasting.ARIMAPlus.coef_() -> bpd.DataFrame
Inspect the coefficients of the model.
methodpackages.bigframes.bigframes.ml.forecasting.ARIMAPlus.predict(X=None, *horizon:int=3, *confidence_level:float=0.95) -> bpd.DataFrame
Forecast time series at future horizon.
methodpackages.bigframes.bigframes.ml.forecasting.ARIMAPlus.to_gbq(model_name:str, replace:bool=False) -> ARIMAPlus
Save the model to BigQuery.
funcpackages.bigframes.bigframes.ml.globals.base_sql_generator() -> sql.BaseSqlGenerator
Base SQL Generator.
funcpackages.bigframes.bigframes.ml.globals.bqml_model_factory() -> core.BqmlModelFactory
BQML Model Factory
methodpackages.bigframes.bigframes.ml.imported.ONNXModel.predict(X:utils.ArrayType) -> bpd.DataFrame
Predict the result from input DataFrame.
methodpackages.bigframes.bigframes.ml.imported.ONNXModel.to_gbq(model_name:str, replace:bool=False) -> ONNXModel
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.imported.TensorFlowModel
Imported TensorFlow model.
methodpackages.bigframes.bigframes.ml.imported.TensorFlowModel.predict(X:utils.ArrayType) -> bpd.DataFrame
Predict the result from input DataFrame.
methodpackages.bigframes.bigframes.ml.imported.TensorFlowModel.to_gbq(model_name:str, replace:bool=False) -> TensorFlowModel
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.imported.XGBoostModel
Imported XGBoost model.
methodpackages.bigframes.bigframes.ml.imported.XGBoostModel.predict(X:utils.ArrayType) -> bpd.DataFrame
Predict the result from input DataFrame.
methodpackages.bigframes.bigframes.ml.imported.XGBoostModel.to_gbq(model_name:str, replace:bool=False) -> XGBoostModel
Save the model to BigQuery.
methodpackages.bigframes.bigframes.ml.linear_model.LinearRegression.to_gbq(model_name:str, replace:bool=False) -> LinearRegression
Save the model to BigQuery.
methodpackages.bigframes.bigframes.ml.linear_model.LogisticRegression.to_gbq(model_name:str, replace:bool=False) -> LogisticRegression
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.llm.Claude3TextGenerator
Claude3 text generator LLM model.
methodpackages.bigframes.bigframes.ml.llm.Claude3TextGenerator.to_gbq(model_name:str, replace:bool=False) -> Claude3TextGenerator
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.llm.GeminiTextGenerator
Gemini text generator LLM model.
methodpackages.bigframes.bigframes.ml.llm.GeminiTextGenerator.fit(X:utils.ArrayType, y:utils.ArrayType) -> GeminiTextGenerator
Fine tune GeminiTextGenerator model.
methodpackages.bigframes.bigframes.ml.llm.GeminiTextGenerator.to_gbq(model_name:str, replace:bool=False) -> GeminiTextGenerator
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.llm.MultimodalEmbeddingGenerator
Multimodal embedding generator LLM model.
methodpackages.bigframes.bigframes.ml.llm.MultimodalEmbeddingGenerator.to_gbq(model_name:str, replace:bool=False) -> MultimodalEmbeddingGenerator
Save the model to BigQuery.
classpackages.bigframes.bigframes.ml.llm.TextEmbeddingGenerator
Text embedding generator LLM model.
methodpackages.bigframes.bigframes.ml.llm.TextEmbeddingGenerator.predict(X:utils.ArrayType, *max_retries:int=0) -> bigframes.dataframe.DataFrame
Predict the result from input DataFrame.
methodpackages.bigframes.bigframes.ml.llm.TextEmbeddingGenerator.to_gbq(model_name:str, replace:bool=False) -> TextEmbeddingGenerator
Save the model to BigQuery.
methodpackages.bigframes.bigframes.ml.pipeline.Pipeline.to_gbq(model_name:str, replace:bool=False) -> Pipeline
Save the pipeline to BigQuery.
classpackages.bigframes.bigframes.ml.remote.VertexAIModel
Remote model from a Vertex AI HTTPS endpoint.
methodpackages.bigframes.bigframes.ml.remote.VertexAIModel.predict(X:utils.ArrayType) -> bigframes.dataframe.DataFrame
Predict the result from the input DataFrame.
classpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator
Generate base SQL strings for ML.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ai_forecast(source_sql:str, options:Mapping[str, Union[int, float, bool, Iterable[str]]])
Encode AI.FORECAST.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.build_structs(**kwargs:Union[int, float, str, Mapping]) -> str
Encode a dict of values into a formatted STRUCT items for SQL
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.connection(conn_name:str) -> str
Encode the REMOTE WITH CONNECTION clause for BQML.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.encode_value(v:Union[str, int, float, Iterable[str]]) -> str
Encode a parameter value for SQL
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.input(**kwargs:str) -> str
Encode a BQML INPUT clause.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_bucketize(input_id:str, array_split_points:Iterable[Union[int, float]], output_id:str) -> str
Encode ML.BUCKETIZE for BQML
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_distance(col_x:str, col_y:str, type:Literal['EUCLIDEAN', 'MANHATTAN', 'COSINE'], source_sql:str, name:str) -> str
Encode ML.DISTANCE for BQML.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_imputer(col_name:str, strategy:str, name:str) -> str
Encode ML.IMPUTER for BQML
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_label_encoder(numeric_expr_sql:str, top_k:int, frequency_threshold:int, name:str) -> str
Encode ML.LABEL_ENCODER for BQML.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_max_abs_scaler(numeric_expr_sql:str, name:str) -> str
Encode ML.MAX_ABS_SCALER for BQML
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_min_max_scaler(numeric_expr_sql:str, name:str) -> str
Encode ML.MIN_MAX_SCALER for BQML
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_one_hot_encoder(numeric_expr_sql:str, drop:str, top_k:int, frequency_threshold:int, name:str) -> str
Encode ML.ONE_HOT_ENCODER for BQML.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_polynomial_expand(columns:Iterable[str], degree:int, name:str) -> str
Encode ML.POLYNOMIAL_EXPAND.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_quantile_bucketize(numeric_expr_sql:str, num_bucket:int, name:str) -> str
Encode ML.QUANTILE_BUCKETIZE for BQML
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.ml_standard_scaler(numeric_expr_sql:str, name:str) -> str
Encode ML.STANDARD_SCALER for BQML
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.options(**kwargs:Union[str, int, float, Iterable[str]]) -> str
Encode the OPTIONS clause for BQML
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.output(**kwargs:str) -> str
Encode a BQML OUTPUT clause.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.struct_columns(columns:Iterable[str]) -> str
Encode a BQ Table columns to a STRUCT.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.struct_options(**kwargs:Union[int, float, Mapping]) -> str
Encode a BQ STRUCT as options.
methodpackages.bigframes.bigframes.ml.sql.BaseSqlGenerator.transform(*expr_sqls:str) -> str
Encode the TRANSFORM clause for BQML
classpackages.bigframes.bigframes.ml.sql.ModelCreationSqlGenerator
Sql generator for creating a model entity.
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ai_generate_table(source_sql:str, struct_options:Mapping[str, Union[int, float, bool, Mapping]]) -> str
Encode AI.GENERATE_TABLE for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_arima_coefficients() -> str
Encode ML.ARIMA_COEFFICIENTS for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_arima_evaluate(show_all_candidate_models:bool=False) -> str
Encode ML.ARMIA_EVALUATE for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_centroids() -> str
Encode ML.CENTROIDS for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_detect_anomalies(source_sql:str, struct_options:Mapping[str, Union[int, float]]) -> str
Encode ML.DETECT_ANOMALIES for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_evaluate(source_sql:Optional[str]=None) -> str
Encode ML.EVALUATE for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_explain_forecast(struct_options:Mapping[str, Union[int, float]]) -> str
Encode ML.EXPLAIN_FORECAST for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_explain_predict(source_sql:str, struct_options:Mapping[str, Union[int, float]]) -> str
Encode ML.EXPLAIN_PREDICT for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_forecast(struct_options:Mapping[str, Union[int, float]]) -> str
Encode ML.FORECAST for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_generate_text(source_sql:str, struct_options:Mapping[str, Union[int, float]]) -> str
Encode ML.GENERATE_TEXT for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_global_explain(struct_options) -> str
Encode ML.GLOBAL_EXPLAIN for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_llm_evaluate(source_sql:str, task_type:Optional[str]=None) -> str
Encode ML.EVALUATE for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_predict(source_sql:str) -> str
Encode ML.PREDICT for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_recommend(source_sql:str) -> str
Encode ML.RECOMMEND for BQML
methodpackages.bigframes.bigframes.ml.sql.ModelManipulationSqlGenerator.ml_transform(source_sql:str) -> str
Encode ML.TRANSFORM for BQML
funcpackages.bigframes.bigframes.ml.utils.batch_convert_to_dataframe(*session:Optional[Session]=None, *input:ArrayType) -> Generator[bpd.DataFrame, None, None]
Converts the input to BigFrames DataFrame.
classpackages.bigframes.bigframes.operations.base_ops.UnaryOp
classpackages.bigframes.bigframes.operations.generic_ops.PyUdfOp
Represents a local UDF.
classpackages.bigframes.bigframes.operations.string_ops.StrContainsOp
classpackages.bigframes.bigframes.operations.string_ops.StrStripOp
methodpackages.bigframes.bigframes.operations.strings.StringMethods.contains(pat, case:bool=True, flags:int=0, *regex:bool=True) -> T
methodpackages.bigframes.bigframes.operations.strings.StringMethods.match(pat, case=True, flags=0) -> T
methodpackages.bigframes.bigframes.operations.strings.StringMethods.reverse() -> T
Reverse strings in the Series.
methodpackages.bigframes.bigframes.operations.strings.StringMethods.strip(to_strip:Optional[str]=None) -> T
classpackages.bigframes.bigframes.operations.type.CoerceCommon
Attempt to coerce inputs to a compatible type.
classpackages.bigframes.bigframes.operations.type.Comparison
Type signature for comparison operators.
methodpackages.bigframes.bigframes.series.Series.sql() -> str
Compiles this Series's expression tree to SQL.
methodpackages.bigframes.bigframes.session.Session.DataFrame(*args, **kwargs)
Constructs a DataFrame.
methodpackages.bigframes.bigframes.session.Session.Index(*args, **kwargs)
Constructs a Index.
methodpackages.bigframes.bigframes.session.Session.MultiIndex() -> bigframes.core.indexes.multi.MultiIndexAccessor
Constructs a MultiIndex.
methodpackages.bigframes.bigframes.session.Session.Series(*args, **kwargs)
Constructs a Series.
methodpackages.bigframes.bigframes.session.Session.cut(*args, **kwargs) -> bigframes.series.Series
Cuts a BigQuery DataFrames object.
funcpackages.bigframes.bigframes.session._io.bigquery.table_ref_to_sql(table:bigquery.TableReference) -> str
Format a table reference as escaped SQL.
methodpackages.bigframes.bigframes.session.executor.Executor.dry_run(array_value:bigframes.core.ArrayValue, ordered:bool=True) -> bigquery.QueryJob
Dry run executing the ArrayValue.
methodpackages.bigframes.bigframes.session.executor.Executor.execute(array_value:bigframes.core.ArrayValue, execution_spec:ex_spec.ExecutionSpec) -> ExecuteResult
Execute the ArrayValue.
classpackages.bigframes.bigframes.session.loader.ThreadSafeIterator
A wrapper to make an iterator thread-safe.
methodpackages.bigquery-magics.bigquery_magics.config.Context.engine() -> str
[Deprecated] Engine to run the query.
funcpackages.bigquery-magics.bigquery_magics.core.create_bq_client(*project:str, *bigquery_api_endpoint:str, *location:str)
Creates a BigQuery client.
funcpackages.bigquery-magics.bigquery_magics.pyformat.pyformat(sql_template:str, user_ns:dict) -> str
Unsafe Python-style string formatting of SQL string.
classpackages.db-dtypes.db_dtypes.DateArray
Pandas array type containing date data
classpackages.db-dtypes.db_dtypes.DateDtype
Extension dtype for time data.
classpackages.db-dtypes.db_dtypes.TimeArray
Pandas array type containing time data
classpackages.db-dtypes.db_dtypes.TimeDtype
Extension dtype for time data.
classpackages.db-dtypes.db_dtypes.json.JSONDtype
Extension dtype for BigQuery JSON data.
methodpackages.db-dtypes.db_dtypes.json.JSONDtype.na_value() -> pd.NAType
Default NA value to use for this type.
methodpackages.db-dtypes.db_dtypes.json.JSONDtype.type() -> type[str]
Return the scalar type for the array elements.
classpackages.django-google-spanner.django_spanner.client.DatabaseClient
Wrap the Django base class.
classpackages.django-google-spanner.django_spanner.functions.IfNull
Represent SQL `IFNULL` function.
funcpackages.gapic-generator.gapic.cli.generate.generate(request:typing.BinaryIO, output:typing.BinaryIO) -> None
Generate a full API client description.
funcpackages.gapic-generator.gapic.generator.formatter.fix_whitespace(code:str) -> str
Perform basic whitespace post-processing.
classpackages.gapic-generator.gapic.generator.generator.Generator
A protoc code generator for client libraries.
classpackages.gapic-generator.gapic.samplegen.samplegen.AttributeRequestSetup
A single request-field setup description.
classpackages.gapic-generator.gapic.samplegen.samplegen.Validator
Class that validates a sample.
methodpackages.gapic-generator.gapic.samplegen.samplegen.Validator.validate_expression(exp:str) -> wrappers.Field
Validate an attribute chain expression.
funcpackages.gapic-generator.gapic.samplegen.samplegen.generate_sample(sample, api_schema, sample_template:jinja2.Template) -> Tuple[str, Any]
Generate a standalone, runnable sample.
funcpackages.gapic-generator.gapic.samplegen.samplegen.parse_handwritten_specs(sample_configs:Sequence[str]) -> Generator[Dict[str, Any], None, None]
Parse a handwritten sample spec
classpackages.gapic-generator.gapic.samplegen_utils.snippet_index.Snippet
A single snippet and its metadata.
classpackages.gapic-generator.gapic.samplegen_utils.snippet_index.SnippetIndex
An index of all the snippets for an API.
methodpackages.gapic-generator.gapic.samplegen_utils.snippet_index.SnippetIndex.add_snippet(snippet:Snippet) -> None
Add a single snippet to the snippet index.
classpackages.gapic-generator.gapic.samplegen_utils.yaml.Alias
An anchor to a map.
classpackages.gapic-generator.gapic.samplegen_utils.yaml.Collection
An ordered list of subobjects.
classpackages.gapic-generator.gapic.samplegen_utils.yaml.Doc
A yaml document
classpackages.gapic-generator.gapic.samplegen_utils.yaml.Element
Abstract element that can be rendered.
classpackages.gapic-generator.gapic.samplegen_utils.yaml.KeyVal
A single key/value entry.
classpackages.gapic-generator.gapic.samplegen_utils.yaml.Map
A named collection with a list of attributes.
classpackages.gapic-generator.gapic.schema.api.API
A representation of a full API.
methodpackages.gapic-generator.gapic.schema.api.API.subpackages() -> Mapping[str, 'API']
Return a map of all subpackages, if any.
methodpackages.gapic-generator.gapic.schema.api.Proto.enums() -> Mapping[str, wrappers.EnumType]
Return top-level enums on the proto.
methodpackages.gapic-generator.gapic.schema.api.Proto.names() -> FrozenSet[str]
Return a set of names used by this proto.
methodpackages.gapic-generator.gapic.schema.metadata.Address.child(child_name:str, path:Tuple[int, ...]) -> 'Address'
Return a new child of the current Address.
methodpackages.gapic-generator.gapic.schema.metadata.Address.proto() -> str
Return the proto selector for this type.
methodpackages.gapic-generator.gapic.schema.metadata.Address.proto_package() -> str
Return the proto package for this type.
methodpackages.gapic-generator.gapic.schema.metadata.Address.python_import() -> imp.Import
Return the Python import for this type.
methodpackages.gapic-generator.gapic.schema.metadata.Address.resolve(selector:str) -> str
Resolve a potentially-relative protobuf selector.
methodpackages.gapic-generator.gapic.schema.metadata.Address.sphinx() -> str
Return the Sphinx identifier for this type.
methodpackages.gapic-generator.gapic.schema.metadata.Metadata.doc()
Return the best comment.
classpackages.gapic-generator.gapic.schema.naming.Naming
Naming data for an API.
methodpackages.gapic-generator.gapic.schema.naming.Naming.long_name() -> str
Return an appropriate title-cased long name.
methodpackages.gapic-generator.gapic.schema.naming.Naming.module_name() -> str
Return the appropriate Python module name.
methodpackages.gapic-generator.gapic.schema.naming.Naming.versioned_module_name() -> str
Return the versiond module name (e.g.
classpackages.gapic-generator.gapic.schema.wrappers.EnumValueType
Description of an enum value.
classpackages.gapic-generator.gapic.schema.wrappers.Field
Description of a field.
methodpackages.gapic-generator.gapic.schema.wrappers.Field.name() -> str
Used to prevent collisions with python keywords
methodpackages.gapic-generator.gapic.schema.wrappers.Field.type() -> Union['MessageType', 'EnumType', 'PrimitiveType']
Return the type of this field.
classpackages.gapic-generator.gapic.schema.wrappers.HttpRule
Representation of the method's http bindings.
methodpackages.gapic-generator.gapic.schema.wrappers.Method.grpc_stub_type() -> str
Return the type of gRPC stub to use.
classpackages.gapic-generator.gapic.schema.wrappers.Oneof
Description of a field.
classpackages.gapic-generator.gapic.schema.wrappers.OperationInfo
Representation of long-running operation info.
classpackages.gapic-generator.gapic.schema.wrappers.PrimitiveType
A representation of a Python primitive type.
classpackages.gapic-generator.gapic.schema.wrappers.PythonType
Wrapper class for Python types.
classpackages.gapic-generator.gapic.schema.wrappers.RetryInfo
Representation of the method's retry behavior.
methodpackages.gapic-generator.gapic.schema.wrappers.Service.shortname() -> str
Return the API short name.
funcpackages.gapic-generator.gapic.utils.case.to_camel_case(s:str) -> str
Convert any string to camel case.
funcpackages.gapic-generator.gapic.utils.case.to_snake_case(s:str) -> str
Convert any string to snake case.
funcpackages.gapic-generator.gapic.utils.checks.is_msg_field_pb(field_pb:FieldDescriptorProto) -> bool
Determine if field_pb is of type Message.
funcpackages.gapic-generator.gapic.utils.checks.is_str_field_pb(field_pb:FieldDescriptorProto) -> bool
Determine if field_pb is of type string.
funcpackages.gapic-generator.gapic.utils.code.make_private(object_name:str) -> str
Labels the object name like a private object (i.e.
funcpackages.gapic-generator.gapic.utils.filename.to_valid_filename(filename:str) -> str
Given any string, return a valid filename.
funcpackages.gapic-generator.gapic.utils.filename.to_valid_module_name(module_name:str) -> str
Given any string, return a valid Python module name.
funcpackages.gapic-generator.gapic.utils.lines.sort_lines(text:str, dedupe:bool=True) -> str
Sort the individual lines of a block of text.
funcpackages.gapic-generator.gapic.utils.lines.wrap(text:str, width:int, *offset:Optional[int]=None, *indent:int=0) -> str
Wrap the given string to the given width.
methodpackages.gapic-generator.gapic.utils.options.Options.build(opt_string:str) -> 'Options'
Build an Options instance based on a protoc opt string.
classpackages.gcp-sphinx-docfx-yaml.docfx_yaml.directives.RemarksDirective
A directive to handle 'remarks' blocks.
classpackages.gcp-sphinx-docfx-yaml.docfx_yaml.directives.TodoDirective
A directive to ignore 'todo' blocks.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.build_finished(app:sphinx.application.Sphinx, exception:Exception) -> None
Builds the finished YAML files.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.build_init(app:sphinx.application.Sphinx) -> None
Initializes the build.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.extract_keyword(line:str) -> str
Extracts the keyword from a line.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.extract_product_name(name:str) -> str
Extracts the product name from the full name.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.find_package_group(uid:str) -> str
Finds the package group for a given uid.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.find_unique_name(package_name:list[str], entries:dict) -> list[str]
Finds a unique name for a package.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.format_code(code:str) -> str
Reformats code using black.format_str().
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.group_by_package(pkg_toc_yaml:list[dict]) -> list[dict]
Groups the pkg_toc_yaml entries by package.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.indent_code_left(lines:str, tab_space:int) -> str
Indents code lines left by tab_space.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.insert_children_on_class(app:sphinx.application.Sphinx, _type:str, datam:dict) -> None
Inserts children of a specific class.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.insert_children_on_function(app:sphinx.application.Sphinx, _type:str, datam:dict) -> None
Inserts children of a specific function.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.insert_children_on_module(app:sphinx.application.Sphinx, _type:str, datam:dict) -> None
Inserts children of a specific module.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.missing_reference(app:sphinx.application.Sphinx, env:Any, node:Any, contnode:Any) -> Any
Called when a reference is missing.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extension.pretty_package_name(package_group:str) -> str
Makes the package name presentable.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.extract_nodes.extract_info_lists(app:Sphinx, doctree:nodes.document) -> None
Extracts info lists from the doctree.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.monkeypatch.patch_docfields(app:sphinx.application.Sphinx) -> None
Grab syntax data from the Sphinx info fields.
classpackages.gcp-sphinx-docfx-yaml.docfx_yaml.nodes.remarks
A docutils node for 'remarks' messages.
methodpackages.gcp-sphinx-docfx-yaml.docfx_yaml.nodes.remarks.depart_remarks(self, node:nodes.Node) -> None
Depart a 'remarks' node.
methodpackages.gcp-sphinx-docfx-yaml.docfx_yaml.nodes.remarks.visit_remarks(self, node:nodes.Node) -> None
Visit a 'remarks' node.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.utils.slugify(value:str) -> str
Converts to lowercase, removes non-word characters.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.utils.transform_node(app:Sphinx, node:nodes.Node) -> str
Transforms a docutils node to a string.
funcpackages.gcp-sphinx-docfx-yaml.docfx_yaml.writer.my_wrap(text:str, width:int=MAXWIDTH, **kwargs) -> list[str]
Wraps the given text to a specified width.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.ad_break_messages.AdBreak
The ``AdBreak`` resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.ad_unit_enums.AdUnitStatusEnum.AdUnitStatus
The status of an AdUnit.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.ad_unit_messages.AdUnit
The AdUnit resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.ad_unit_messages.AdUnitParent
The summary of a parent AdUnit.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.ad_unit_messages.LabelFrequencyCap
Frequency cap using a label.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.company_enums.CompanyTypeEnum.CompanyType
The type of a company.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.contact_enums.ContactStatusEnum.ContactStatus
Describes the contact statuses.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.content_label_messages.ContentLabel
A content label.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.creative_messages.Creative
The Creative resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.device_capability_messages.DeviceCapability
Represents a device capability.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.live_stream_messages.AuxiliaryAdSettings
Settings for auxiliary ads (e.g.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.mobile_carrier_messages.MobileCarrier
Represents a mobile carrier.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.mobile_device_messages.MobileDevice
Represents a mobile device.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.network_messages.Network
The Network resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.order_enums.OrderStatusEnum.OrderStatus
The status of an Order.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.order_messages.Order
The ``Order`` resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.placement_enums.PlacementStatusEnum.PlacementStatus
Status of the placement.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.placement_messages.Placement
The ``Placement`` resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.private_auction_deal_messages.PrivateAuctionDeal.BuyerData
Contains buyer data.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.private_auction_messages.PrivateAuction
The ``PrivateAuction`` resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_delivery.ScheduleOptions
The options for a scheduled report.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_delivery.ScheduleOptions.Schedule.Frequency
Frequency to run report.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_messages.Report
The ``Report`` resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_messages.Report.Visibility
The visibility of a report.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_messages.ReportDataTable.Row
A row of report data.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_service.RunReportMetadata
``RunReport`` operation metadata.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_value.ReportValue
Represents a single value in a report.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_value.ReportValue.DoubleList
A list of double values.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_value.ReportValue.IntList
A list of integer values.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.report_value.ReportValue.StringList
A list of string values.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.role_enums.RoleStatusEnum.RoleStatus
The status of the role.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.role_messages.Role
The ``Role`` resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.BandwidthTargeting
Bandwidth Targeting.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.BrowserLanguageTargeting
Browser Language Targeting.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.BrowserTargeting
Browser Targeting.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.DeviceCapabilityTargeting
Device Capability Targeting.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.DeviceManufacturerTargeting
Device Manufacturer Targeting.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.MobileApplicationTargeting
Mobile Application Targeting ..
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.MobileCarrierTargeting
Mobile Carrier Targeting.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.Targeting
Targeting expression.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.targeting.VideoPosition
Video Position Targeting Criterion ..
classpackages.google-ads-admanager.google.ads.admanager_v1.types.time_unit_enum.TimeUnitEnum
Wrapper message for TimeUnit.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.user_messages.User
The User resource.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.user_service.GetUserRequest
Request object for GetUser method.
classpackages.google-ads-admanager.google.ads.admanager_v1.types.web_property.WebProperty
Represents a web property.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.ad_event.AdEvent
An ad event.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.ad_event.AdEvent.EventType
The type of the event.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.ad_event.AdFormat
The format of the ad served.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.ad_event.AdPlacement
The placement of the ad served.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.ad_event.AdType
The type of the ad served.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.audience.IpData
IP address information for a user.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.audience.MobileData
Mobile IDs for the audience.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.audience.UserIdData
User id data holding the user id.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.destination.Product
Deprecated.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.destination.ProductAccount
Represents a specific account.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.destination.ProductAccount.AccountType
Represents Google account types.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.encrypted_user_id.EncryptedUserId.EncryptionSource
The encryption source.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.error.ErrorReason
Error reasons for Data Manager API.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.event.CustomVariable
Custom variable for ads conversions.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.event.EventLocation
The location where the event occurred.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.event.EventParameter
Event parameter for GA4 events.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.event.EventSource
The source of the event.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.ingestion_service.IngestAdEventsRequest
Request to upload ad events.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.processing_errors.ErrorInfo
Error counts for each type of error.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.processing_errors.ProcessingErrorReason
The processing error reason.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.processing_errors.ProcessingWarningReason
The processing warning reason.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.request_status_per_destination.RequestStatusPerDestination.DataType
The type of data.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.request_status_per_destination.RequestStatusPerDestination.RequestStatus
The request status.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_data.AddressInfo
Address information for the user.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_data.UserData
Data that identifies the user.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_data.UserIdentifier
A single identifier for the user.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list.DataSourceType
Indicates source of upload data.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list.MobileIdInfo.KeySpace
Key space for mobile ID.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list.PartnerAudienceInfo.PartnerAudienceSource
Partner audience source.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list.PseudonymousIdInfo.SyncStatus
Sync status of the user list.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list.UserList
A user list resource.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list.UserList.MembershipStatus
Status of the user list.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list_direct_license.UserListDirectLicense
A user list direct license.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list_global_license.UserListGlobalLicense
A user list global license.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list_license_pricing.UserListLicensePricing
A user list license pricing.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list_license_status.UserListLicenseStatus
User list license status.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.user_list_service.GetUserListRequest
Request message for GetUserList.
classpackages.google-ads-datamanager.google.ads.datamanager_v1.types.viewability_info.ViewType
The type of the event.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.content.Blob
Raw media bytes.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.generative_service.GroundingChunk
Grounding chunk.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.generative_service.GroundingChunk.Web
Chunk from the web.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.generative_service.GroundingSupport
Grounding support.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.generative_service.LogprobsResult
Logprobs Result ..
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.generative_service.SearchEntryPoint
Google search entry point.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.generative_service.Segment
Segment of the content.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.model_service.ListModelsRequest
Request for listing all Models.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1.types.safety.HarmCategory
The category of a rating.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.content.Blob
Raw media bytes.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.content.FileData
URI based data.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.content.GroundingPassages
A repeated list of passages.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.content.Tool.GoogleSearch
GoogleSearch tool type.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.discuss_service.Message
The base unit of structured text.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file.File
A file uploaded to the API.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file.File.State
States for the lifecycle of a File.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file.VideoMetadata
Metadata for a video ``File``.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file_service.CreateFileRequest
Request for ``CreateFile``.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file_service.CreateFileResponse
Response for ``CreateFile``.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file_service.DeleteFileRequest
Request for ``DeleteFile``.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file_service.GetFileRequest
Request for ``GetFile``.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file_service.ListFilesRequest
Request for ``ListFiles``.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.file_service.ListFilesResponse
Response for ``ListFiles``.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.generative_service.GroundingChunk
Grounding chunk.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.generative_service.GroundingChunk.Web
Chunk from the web.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.generative_service.GroundingSupport
Grounding support.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.generative_service.SearchEntryPoint
Google search entry point.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.generative_service.Segment
Segment of the content.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.safety.HarmCategory
The category of a rating.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.tuned_model.TunedModel.State
The state of the tuned model.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.tuned_model.TuningExample
A single example for tuning.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1alpha.types.tuned_model.TuningExamples
A set of tuning examples.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.content.Blob
Raw media bytes.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.content.FileData
URI based data.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.content.GroundingPassages
A repeated list of passages.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.content.RetrievalConfig
Retrieval config.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.content.Tool.ComputerUse
Computer Use tool type.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.content.Tool.GoogleSearch
GoogleSearch tool type.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.discuss_service.Message
The base unit of structured text.
classpackages.google-ai-generativelanguage.google.ai.generativelanguage_v1beta.types.file.File
A file uploaded to the API.

About this data

These signatures were extracted from the public source of googleapis/google-cloud-python using Python's ast module. Argument names, default values, type annotations and return types are taken verbatim from the code. Implementation bodies are never stored. See how it works for details.

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