Return a + if we don't already have one, else return a .

Return a + if we don't already have one, else return a .

Profile a data asset :param datasource_name: the name of the datasource to which the profiled data asset belongs :param batc

Profile a named datasource using the specified context

:param jinja_context: :param content_block: :param index: :param content_block_id: :param render_to_markdown

Safely create GE directories for a new project.

Copy template notebooks into the notebooks directory for a project.

Set a value in a dict. If `key` contains a '.', it is assumed be a path (i.e. dot-delimited string) to the value's location. :: >>>

Attempts to get read_csv compression from s3_url

Test a generic expectation function Args: function (func): The function to be tested. (Must be a valid expectation function.)

Helper called by data_asset. Args: data_asset: The data_asset whose validation produced the current return object ret

This third param_store has a special method, which uses a zero-length tuple as a key.

Initialize a StoreBackend Args: fixed_length_key: suppress_store_backend_id: skip construction of a StoreBack

Adds the cardinality of a column to the column_info dictionary on self Args: dataset: A GE Dataset column_nam

Adds the data type of a column to the column_info dictionary on self Args: dataset: A GE dataset column_name:

Adds the semantic type of a column to the column_info dict on self, for display purposes after suite creation Args: colum

The underlying SlackNotificationAction and SlackRenderer default to including links to all sites if the key notify_with is not presen

Bind field to the schema, setting any necessary attributes on the field (e.g. parent and name). Also set field load_only and dump_onl

Using a set of given credentials, constructs an Execution Engine , connecting to a database using a URL or a private key path.

Using a set of given credentials, constructs an Execution Engine , connecting to a database using a URL or a private key path.

_build_evr is a lightweight convenience wrapper handling cases where an Expectation implementor fails to return an EVR but returns the necessa

Uses a semantic_type dict to determine which expectations to add to the suite, then builds the suite Args: Returns:

Adds `expect_column_values_to_be_between` for a given column Args: dataset: A GE Dataset column: The column f

Adds a set of numeric expectations for a given column Args: dataset: A GE Dataset column: The column for whic

Adds a value_set expectation for a given column Args: dataset: A GE Dataset column: The column for which to a

Build a Sorter using the provided configuration and return the newly-built Sorter.

Calculate summary statistics for the validation results and return ``ExpectationStatistics``.