Class StreamingDataFrame (1.29.0)

StreamingDataFrame(df: bigframes.dataframe.DataFrame, *, create_key=0)

Two-dimensional, size-mutable, potentially heterogeneous tabular data.

Data structure also contains labeled axes (rows and columns). Arithmetic operations align on both row and column labels. Can be thought of as a dict-like container for Series objects. The primary pandas data structure.

Methods

getitem

__getitem__(*args, **kwargs)

Gets the specified column(s) from the StreamingDataFrame.

Parameter
Name	Description
`key`	`index` Index or list of indices. It can be a column label, a list of column labels, a Series of booleans or a pandas Index of desired column labels

Returns
Type	Description
`bigframes.pandas.Series or Any`	Value(s) at the requested index(es).

repr

__repr__(*args, **kwargs)

Converts a StreamingDataFrame to a string. Calls to_pandas.

Only represents the first <xref uid="bigframes.options">bigframes.options</xref>.display.max_rows.

setitem

__setitem__(*args, **kwargs)

Modify or insert a column into the StreamingDataFrame.

Parameters
Name	Description
`key`	`column index` It can be a new column to be inserted, or an existing column to be modified.
`value`	`scalar or Series` Value to be assigned to the column

rename

rename(*args, **kwargs)

Rename columns.

Dict values must be unique (1-to-1). Labels not contained in a dict will be left as-is. Extra labels listed don't throw an error.

Parameter
Name	Description
`columns`	`Mapping` Dict-like from old column labels to new column labels.

Exceptions
Type	Description
`KeyError`	If any of the labels is not found.

Returns
Type	Description
`bigframes.pandas.DataFrame`	StreamingDataFrame with the renamed axis labels.

to_bigtable

to_bigtable(
    *,
    instance: str,
    table: str,
    service_account_email: typing.Optional[str] = None,
    app_profile: typing.Optional[str] = None,
    truncate: bool = False,
    overwrite: bool = False,
    auto_create_column_families: bool = False,
    bigtable_options: typing.Optional[dict] = None,
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None
) -> google.cloud.bigquery.job.query.QueryJob

Export the StreamingDataFrame as a continue job and returns a QueryJob object for some management functionality.

This method requires an existing bigtable preconfigured to accept the continuous query export statement. For instructions on export to bigtable, see https://cloud.google.com/bigquery/docs/export-to-bigtable.

Parameters
Name	Description
`instance`	`str` The name of the bigtable instance to export to.
`table`	`str` The name of the bigtable table to export to.
`service_account_email`	`str` Full name of the service account to run the continuous query. Example: accountname@projectname.gserviceaccounts.com If not provided, the user account will be used, but this limits the lifetime of the continuous query.
`app_profile`	`str, default None` The bigtable app profile to export to. If None, no app profile will be used.
`truncate`	`bool, default False` The export truncate option, see https://cloud.google.com/bigquery/docs/reference/standard-sql/other-statements#bigtable_export_option
`overwrite`	`bool, default False` The export overwrite option, see https://cloud.google.com/bigquery/docs/reference/standard-sql/other-statements#bigtable_export_option
`auto_create_column_families`	`bool, default False` The auto_create_column_families option, see https://cloud.google.com/bigquery/docs/reference/standard-sql/other-statements#bigtable_export_option
`bigtable_options`	`dict, default None` The bigtable options dict, which will be converted to JSON using json.dumps, see https://cloud.google.com/bigquery/docs/reference/standard-sql/other-statements#bigtable_export_option If None, no bigtable_options parameter will be passed.
`job_id`	`str, default None` If specified, replace the default job id for the query, see job_id parameter of https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client#google_cloud_bigquery_client_Client_query
`job_id_prefix`	`str, default None` If specified, a job id prefix for the query, see job_id_prefix parameter of https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client#google_cloud_bigquery_client_Client_query

Returns
Type	Description
`google.cloud.bigquery.QueryJob`	See https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob The ongoing query job can be managed using this object. For example, the job can be cancelled or its error status can be examined.

to_pubsub

to_pubsub(
    *,
    topic: str,
    service_account_email: str,
    job_id: typing.Optional[str] = None,
    job_id_prefix: typing.Optional[str] = None
) -> google.cloud.bigquery.job.query.QueryJob

Export the StreamingDataFrame as a continue job and returns a QueryJob object for some management functionality.

This method requires an existing pubsub topic. For instructions on creating a pubsub topic, see https://cloud.google.com/pubsub/docs/samples/pubsub-quickstart-create-topic?hl=en

Note that a service account is a requirement for continuous queries exporting to pubsub.

Parameters
Name	Description
`topic`	`str` The name of the pubsub topic to export to. For example: "taxi-rides"
`service_account_email`	`str` Full name of the service account to run the continuous query. Example: accountname@projectname.gserviceaccounts.com
`job_id`	`str, default None` If specified, replace the default job id for the query, see job_id parameter of https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client#google_cloud_bigquery_client_Client_query
`job_id_prefix`	`str, default None` If specified, a job id prefix for the query, see job_id_prefix parameter of https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.client.Client#google_cloud_bigquery_client_Client_query

Returns
Type	Description
`google.cloud.bigquery.QueryJob`	See https://cloud.google.com/python/docs/reference/bigquery/latest/google.cloud.bigquery.job.QueryJob The ongoing query job can be managed using this object. For example, the job can be cancelled or its error status can be examined.