WeichenXu123 commented on a change in pull request #34021:
URL: https://github.com/apache/spark/pull/34021#discussion_r710137451
##########
File path: python/pyspark/sql/dataframe.py
##########
@@ -2536,6 +2536,28 @@ def withColumnRenamed(self, existing, new):
"""
return DataFrame(self._jdf.withColumnRenamed(existing, new),
self.sql_ctx)
+ def withMetadata(self, columnName, metadata):
+ """Returns a new :class:`DataFrame` by updating an existing column
with metadata.
+
+ .. versionadded:: 3.3.0
+
+ Parameters
+ ----------
+ columnName : str
+ string, name of the existing column to update the metadata.
+ metadata : dict
+ dict, new metadata to be assigned to df.schema[columnName].metadata
+
+ Examples
+ --------
+ >>> df_meta = df.withMetadata('age', {'foo': 'bar'})
+ >>> df_meta.schema['age'].metadata
+ {'foo': 'bar'}
+ """
+ if not isinstance(metadata, dict):
Review comment:
why restrict the type to be dict ? we should allow any types which can
be converted to JSON.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
