brk-code

google-cloud-python の API リファレンス

google-cloud-python (googleapis/google-cloud-python) の公開 API 400 件 —— クラス 206、関数 79、メソッド 115。実際のソースを静的解析して抽出した正確なシグネチャを掲載しています。

リポジトリ: googleapis/google-cloud-python

種別件数
クラス206
関数79
メソッド115

API 一覧

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.

この情報について

掲載しているシグネチャは googleapis/google-cloud-python の公開ソースコードを Python の ast モジュールで静的解析し、引数名・デフォルト値・ 型注釈・戻り値型をそのまま抽出したものです。実装コードは保存していません。 詳しくは仕組みの解説をご覧ください。

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