issue on define a dataframe

[bitfox]

Hello,

Spark newbie here :)
Why I can't create the dataframe with just one column?

for instance, this works:

df=spark.createDataFrame([("apple",2),("orange",3)],["name","count"])


But this can't work:

df=spark.createDataFrame([("apple"),("orange")],["name"])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/opt/spark/python/pyspark/sql/session.py", line 675, in 
createDataFrame
    return self._create_dataframe(data, schema, samplingRatio, 
verifySchema)
  File "/opt/spark/python/pyspark/sql/session.py", line 700, in 
_create_dataframe
    rdd, schema = self._createFromLocal(map(prepare, data), schema)
  File "/opt/spark/python/pyspark/sql/session.py", line 512, in 
_createFromLocal
    struct = self._inferSchemaFromList(data, names=schema)
  File "/opt/spark/python/pyspark/sql/session.py", line 439, in 
_inferSchemaFromList
    schema = reduce(_merge_type, (_infer_schema(row, names) for row in 
data))
  File "/opt/spark/python/pyspark/sql/session.py", line 439, in 
<genexpr>
    schema = reduce(_merge_type, (_infer_schema(row, names) for row in 
data))
  File "/opt/spark/python/pyspark/sql/types.py", line 1067, in 
_infer_schema
    raise TypeError("Can not infer schema for type: %s" % type(row))
TypeError: Can not infer schema for type: <class 'str'>


how can I fix it?

Thanks

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