[
https://issues.apache.org/jira/browse/SPARK-8535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Davies Liu resolved SPARK-8535.
-------------------------------
Resolution: Fixed
Fix Version/s: 1.5.0
Issue resolved by pull request 7124
[https://github.com/apache/spark/pull/7124]
> PySpark : Can't create DataFrame from Pandas dataframe with no explicit
> column name
> -----------------------------------------------------------------------------------
>
> Key: SPARK-8535
> URL: https://issues.apache.org/jira/browse/SPARK-8535
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.4.0
> Reporter: Christophe Bourguignat
> Fix For: 1.5.0
>
>
> Trying to create a Spark DataFrame from a pandas dataframe with no explicit
> column name :
> pandasDF = pd.DataFrame([[1, 2], [5, 6]])
> sparkDF = sqlContext.createDataFrame(pandasDF)
> ***********
> ----> 1 sparkDF = sqlContext.createDataFrame(pandasDF)
> /usr/local/Cellar/apache-spark/1.4.0/libexec/python/pyspark/sql/context.pyc
> in createDataFrame(self, data, schema, samplingRatio)
> 344
> 345 jrdd =
> self._jvm.SerDeUtil.toJavaArray(rdd._to_java_object_rdd())
> --> 346 df = self._ssql_ctx.applySchemaToPythonRDD(jrdd.rdd(),
> schema.json())
> 347 return DataFrame(df, self)
> 348
> /usr/local/Cellar/apache-spark/1.4.0/libexec/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py
> in __call__(self, *args)
> 536 answer = self.gateway_client.send_command(command)
> 537 return_value = get_return_value(answer, self.gateway_client,
> --> 538 self.target_id, self.name)
> 539
> 540 for temp_arg in temp_args:
> /usr/local/Cellar/apache-spark/1.4.0/libexec/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py
> in get_return_value(answer, gateway_client, target_id, name)
> 298 raise Py4JJavaError(
> 299 'An error occurred while calling {0}{1}{2}.\n'.
> --> 300 format(target_id, '.', name), value)
> 301 else:
> 302 raise Py4JError(
> Py4JJavaError: An error occurred while calling o87.applySchemaToPythonRDD.
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