NumpyType

class NumpyType[source]

Numpy Type for sql databases when using sqlalchemy.

This handles the IO with a sql database and sqlalchemy.

Inside the database, an numpy array is stored as LargeBinary. sqlalchemy handles loading and storing of entries for columns marked with this custom type. All arrays are converted to numpy arrays when loading and converted to binary when storing in the database automatically.

Methods

`bind_processor`(dialect)	Provide a bound value processing function for the given `Dialect`.
`impl`	alias of `LargeBinary`
`result_processor`(dialect, coltype)	Provide a result value processing function for the given `Dialect`.

bind_processor(dialect)[source]

Provide a bound value processing function for the given Dialect.

This is the method that fulfills the TypeEngine contract for bound value conversion which normally occurs via the _types.TypeEngine.bind_processor() method.

Note

User-defined subclasses of _types.TypeDecorator should not implement this method, and should instead implement _types.TypeDecorator.process_bind_param() so that the “inner” processing provided by the implementing type is maintained.

Parameters: dialect – Dialect instance in use.

impl: alias of LargeBinary

result_processor(dialect, coltype)[source]

Provide a result value processing function for the given Dialect.

This is the method that fulfills the TypeEngine contract for bound value conversion which normally occurs via the _types.TypeEngine.result_processor() method.

Note

User-defined subclasses of _types.TypeDecorator should not implement this method, and should instead implement _types.TypeDecorator.process_result_value() so that the “inner” processing provided by the implementing type is maintained.

Parameters

dialect – Dialect instance in use.
coltype – A SQLAlchemy data type