Skip to content

DataZone module#

Index > DataZone

Auto-generated documentation for DataZone type annotations stubs module mypy-boto3-datazone.

How to install#

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and DataZone.

From PyPI with pip#

Install boto3-stubs for DataZone service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[datazone]'


# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'boto3-stubs-lite[datazone]'


# standalone installation
python -m pip install mypy-boto3-datazone

How to uninstall#

python -m pip uninstall -y mypy-boto3-datazone

Usage#

Code samples can be found in Examples.

DataZoneClient#

Type annotations and code completion for boto3.client("datazone") as DataZoneClient boto3 documentation

# DataZoneClient usage example

from boto3.session import Session

from mypy_boto3_datazone.client import DataZoneClient

def get_client() -> DataZoneClient:
    return Session().client("datazone")

Paginators#

Type annotations and code completion for paginators from boto3.client("datazone").get_paginator("...").

# ListAssetFiltersPaginator usage example

from boto3.session import Session

from mypy_boto3_datazone.paginator import ListAssetFiltersPaginator

def get_list_asset_filters_paginator() -> ListAssetFiltersPaginator:
    return Session().client("datazone").get_paginator("list_asset_filters"))

Literals#

Type annotations for literals used in methods and schema.

# AcceptRuleBehaviorType usage example

from mypy_boto3_datazone.literals import AcceptRuleBehaviorType

def get_value() -> AcceptRuleBehaviorType:
    return "ALL"