Data Context Module¶
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great_expectations.data_context.
get_data_context
(context_type, options)¶ Return a data_context object which exposes options to list datasets and get a dataset from that context. This is a new API in Great Expectations 0.4, and is subject to rapid change.
Parameters: - context_type – (string) one of “SqlAlchemy” or “PandasCSV”
- options – options to be passed to the data context’s connect method.
Returns: a new DataContext object
great_expectations.data_context.base¶
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class
great_expectations.data_context.base.
DataContext
(options)¶ Bases:
object
A generic DataContext, exposing the base API including constructor with options parameter, list_datasets, and get_dataset.
Warning: this feature is new in v0.4 and may change based on community feedback.
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connect
(options)¶
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list_datasets
()¶
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get_data_set
(dataset_name)¶
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great_expectations.data_context.PandasCSVDataContext¶
A PandasCSVDataContext makes it easy to get a list of files available in the list_datasets method. Its get_dataset method returns a new Pandas dataset with the provided name.
Warning: this feature is new in v0.4 and may change based on community feedback.
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class
great_expectations.data_context.pandas_context.
PandasCSVDataContext
(*args, **kwargs)¶ Bases:
great_expectations.data_context.base.DataContext
A PandasCSVDataContext makes it easy to get a list of files available in the list_datasets method. Its get_dataset method returns a new Pandas dataset with the provided name.
Warning: this feature is new in v0.4 and may change based on community feedback.
-
connect
(options)¶
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list_datasets
()¶
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get_dataset
(dataset_name, *args, **kwargs)¶
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great_expectations.data_context.PandasCSVDataContext.
__delattr__
¶ Implement delattr(self, name).
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great_expectations.data_context.PandasCSVDataContext.
__eq__
¶ Return self==value.
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great_expectations.data_context.PandasCSVDataContext.
__ge__
¶ Return self>=value.
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great_expectations.data_context.PandasCSVDataContext.
__getattribute__
¶ Return getattr(self, name).
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great_expectations.data_context.PandasCSVDataContext.
__gt__
¶ Return self>value.
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great_expectations.data_context.PandasCSVDataContext.
__hash__
¶ Return hash(self).
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great_expectations.data_context.PandasCSVDataContext.
__init_subclass__
()¶ This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
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great_expectations.data_context.PandasCSVDataContext.
__le__
¶ Return self<=value.
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great_expectations.data_context.PandasCSVDataContext.
__lt__
¶ Return self<value.
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great_expectations.data_context.PandasCSVDataContext.
__ne__
¶ Return self!=value.
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great_expectations.data_context.PandasCSVDataContext.
__new__
()¶ Create and return a new object. See help(type) for accurate signature.
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great_expectations.data_context.PandasCSVDataContext.
__repr__
¶ Return repr(self).
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great_expectations.data_context.PandasCSVDataContext.
__setattr__
¶ Implement setattr(self, name, value).
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great_expectations.data_context.PandasCSVDataContext.
__str__
¶ Return str(self).
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great_expectations.data_context.PandasCSVDataContext.
__subclasshook__
()¶ Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).
great_expectations.data_context.SqlAlchemyDataContext¶
A SqlAlchemyDataContext creates a SQLAlchemy engine and provides a list of tables available in the list_datasets method. Its get_dataset method returns a new SqlAlchemy dataset with the provided name.
Warning: this feature is new in v0.4 and may change based on community feedback.
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class
great_expectations.data_context.sqlalchemy_context.
SqlAlchemyDataContext
(*args, **kwargs)¶ Bases:
great_expectations.data_context.base.DataContext
A SqlAlchemyDataContext creates a SQLAlchemy engine and provides a list of tables available in the list_datasets method. Its get_dataset method returns a new SqlAlchemy dataset with the provided name.
Warning: this feature is new in v0.4 and may change based on community feedback.
-
connect
(options)¶
-
list_datasets
()¶
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get_dataset
(dataset_name)¶
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great_expectations.data_context.SqlAlchemyDataContext.
__delattr__
¶ Implement delattr(self, name).
-
great_expectations.data_context.SqlAlchemyDataContext.
__eq__
¶ Return self==value.
-
great_expectations.data_context.SqlAlchemyDataContext.
__ge__
¶ Return self>=value.
-
great_expectations.data_context.SqlAlchemyDataContext.
__getattribute__
¶ Return getattr(self, name).
-
great_expectations.data_context.SqlAlchemyDataContext.
__gt__
¶ Return self>value.
-
great_expectations.data_context.SqlAlchemyDataContext.
__hash__
¶ Return hash(self).
-
great_expectations.data_context.SqlAlchemyDataContext.
__init_subclass__
()¶ This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
-
great_expectations.data_context.SqlAlchemyDataContext.
__le__
¶ Return self<=value.
-
great_expectations.data_context.SqlAlchemyDataContext.
__lt__
¶ Return self<value.
-
great_expectations.data_context.SqlAlchemyDataContext.
__ne__
¶ Return self!=value.
-
great_expectations.data_context.SqlAlchemyDataContext.
__new__
()¶ Create and return a new object. See help(type) for accurate signature.
-
great_expectations.data_context.SqlAlchemyDataContext.
__repr__
¶ Return repr(self).
-
great_expectations.data_context.SqlAlchemyDataContext.
__setattr__
¶ Implement setattr(self, name, value).
-
great_expectations.data_context.SqlAlchemyDataContext.
__str__
¶ Return str(self).
-
great_expectations.data_context.SqlAlchemyDataContext.
__subclasshook__
()¶ Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).