azure.ai.ml.entities.DataColumn.yml

### YamlMime:PythonClass
uid: azure.ai.ml.entities.DataColumn
name: DataColumn
fullName: azure.ai.ml.entities.DataColumn
module: azure.ai.ml.entities
inheritances:
- azure.ai.ml.entities._mixins.RestTranslatableMixin
summary: A dataframe column
constructor:
  syntax: 'DataColumn(*, name: str, type: str | DataColumnType | None = None, **kwargs:
    Any)'
  parameters:
  - name: name
    description: The column name
    isRequired: true
    types:
    - <xref:str>
  - name: type
    description: The column data type. Defaults to None.
    isRequired: true
    types:
    - <xref:typing.Optional>[<xref:union>[<xref:str>, <xref:azure.ai.ml.entities.DataColumnType>]]
  - name: kwargs
    description: A dictionary of additional configuration parameters.
    isRequired: true
    types:
    - <xref:dict>
  keywordOnlyParameters:
  - name: name
    isRequired: true
  - name: type
    isRequired: true
examples:
- "Using DataColumn when creating an index column for a feature store entity<!--[!code-Python[Main](les\\\
  ml_samples_featurestore.py )]-->\n\n<!-- literal_block {\"ids\": [], \"classes\"\
  : [], \"names\": [], \"dupnames\": [], \"backrefs\": [], \"source\": \"C:\\\\hostedtoolcache\\\
  \\windows\\\\Python\\\\3.11.9\\\\x64\\\\Lib\\\\site-packages\\\\py2docfx\\\\dist_temp\\\
  \\8\\\\azure-ai-ml-1.16.1\\\\samples\\\\ml_samples_featurestore.py\", \"xml:space\"\
  : \"preserve\", \"force\": false, \"language\": \"Python\", \"highlight_args\":\
  \ {\"linenostart\": 1}, \"linenos\": false} -->\n\n````Python\n\n   from azure.ai.ml.entities\
  \ import DataColumn, DataColumnType, FeatureStoreEntity\n\n   account_column = DataColumn(name=\"\
  accountID\", type=DataColumnType.STRING)\n\n   account_entity_config = FeatureStoreEntity(\n\
  \       name=\"account\",\n       version=\"1\",\n       index_columns=[account_column],\n\
  \       stage=\"Development\",\n       description=\"This entity represents user\
  \ account index key accountID.\",\n       tags={\"data_type\": \"nonPII\"},\n  \
  \ )\n\n   # wait for featurestore entity creation\n   fs_entity_poller = featurestore_client.feature_store_entities.begin_create_or_update(account_entity_config)\n\
  \   print(fs_entity_poller.result())\n\n   ````\n"