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https://issues.apache.org/jira/browse/SPARK-47543?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-47543.
----------------------------------
Assignee: Haejoon Lee
Resolution: Fixed
Fixed in https://github.com/apache/spark/pull/45699
> Inferring `dict` as `MapType` from Pandas DataFrame to allow DataFrame
> creation.
> --------------------------------------------------------------------------------
>
> Key: SPARK-47543
> URL: https://issues.apache.org/jira/browse/SPARK-47543
> Project: Spark
> Issue Type: Bug
> Components: Connect, PySpark
> Affects Versions: 4.0.0
> Reporter: Haejoon Lee
> Assignee: Haejoon Lee
> Priority: Major
> Labels: pull-request-available
>
> Currently the PyArrow infers the Pandas dictionary field as StructType
> instead of MapType, so Spark can't handle the schema properly:
> {code:java}
> >>> pdf = pd.DataFrame({"str_col": ['second'], "dict_col": [{'first': 0.7,
> >>> 'second': 0.3}]})
> >>> pa.Schema.from_pandas(pdf)
> str_col: string
> dict_col: struct<first: double, second: double>
> child 0, first: double
> child 1, second: double
> {code}
> We cannot handle this case since we use PyArrow for schema creation.
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