Helper function since Python doesn't like multiline functions

Allows reader options to be customized based on file context before loading to a DataFrame Args: reader_method (str): pa

Initialize all Stores for this DataContext. Stores are a good fit for reading/writing objects that: 1. follow a clear key-value p

Initialize the usage statistics system.

Loads all data in batch_data_dict into load_batch_data

Reads the project configuration from the project configuration file. The file may contain ${SOME_VARIABLE} variables - see self.proje

Apply then flatten nested schema options. This method is private API.

Profiles the provided dataset to determine which expectations to add to the suite, then builds the suite Args: Returns:

refreshes data_reference cache

A string representation of the args passed to this validator. Used by `__repr__`.

A means of accessing the Execution Engine's resolve_metrics method, where missing metric configurations are resolved

Helper function that returns positional arguments for a scipy distribution using a dict of parameters. See the `cdf()` function here https://d

Helper function that returns positional arguments for a scipy distribution using a dict of parameters. See the `cdf()` function here https://d

Helper function for self_check() to retrieve batch using example_data_reference and data_asset_name, all while printing helpful messa

Serialize ``obj``. :param obj: The object(s) to serialize. :param bool many: `True` if ``data`` should be serialized as a collection.

Serializes ``value`` to a basic Python datatype. Noop by default. Concrete :class:`Field` classes should implement this method. Examp

Use configured sorters to sort batch_definition Args: batch_definition_list (list): list of batch_definitions to sort

Perform validation on ``value``. Raise a :exc:`ValidationError` if validation does not succeed.

Validate batch_request by checking: 1. if configured datasource_name matches batch_request's datasource_name 2. if cu

Validate missing values. Raise a :exc:`ValidationError` if `value` should be considered missing.

Validates a semantic_types dict to ensure correct formatting, that all semantic_types are recognized, and that the semantic_types ali

Guide the user toward correct configuration.