使用pyspark的toPandas（）错误：'int'对象不可迭代

Question

我有一个pyspark数据帧，我试图使用toPandas（）将其转换为pandas，但是我遇到了下面提到的错误。

我尝试了不同的选项，但得到了同样的错误： 1）将数据限制为几个记录 2）明确使用了collect（）（我相信toPandas（）本身使用）

在SO上探索了很多帖子，但AFAIK没有toPandas（）问题。

我的数据框的快照： -

>>sc.version 
2.3.0.2.6.5.0-292

>>print(type(df4),len(df4.columns),df4.count(),
(<class 'pyspark.sql.dataframe.DataFrame'>, 13, 296327)

>>df4.printSchema()
 root
  |-- id: string (nullable = true)
  |-- gender: string (nullable = true)
  |-- race: string (nullable = true)
  |-- age: double (nullable = true)
  |-- status: integer (nullable = true)
  |-- height: decimal(6,2) (nullable = true)
  |-- city: string (nullable = true)
  |-- county: string (nullable = true)
  |-- zipcode: string (nullable = true)
  |-- health: double (nullable = true)
  |-- physical_inactivity: double (nullable = true)
  |-- exercise: double (nullable = true)
  |-- weight: double (nullable = true)

  >>df4.limit(2).show()
+------+------+------+----+-------+-------+---------+-------+-------+------+-------------------+--------+------------+
|id    |gender|race  |age |status |height | city    |county |zipcode|health|physical_inactivity|exercise|weight      |
+------+------+------+----+-------+-------+---------+-------+-------+------+-------------------+--------+------------+
| 90001|  MALE| WHITE|61.0|      0|  70.51|DALEADALE|FIELD  |  29671|  null|               29.0|    49.0|       162.0|
| 90005|  MALE| WHITE|82.0|      0|  71.00|DALEBDALE|FIELD  |  36658|  16.0|               null|    49.0|       195.0|
+------+------+------+----+-------+-------+---------+-------+-------+------+-------------------+--------+------------+
*had to mask few features due to data privacy concerns

错误：-

>>df4.limit(10).toPandas()

'int' object is not iterable
Traceback (most recent call last):
  File "/repo/python2libs/pyspark/sql/dataframe.py", line 1968, in toPandas
pdf = pd.DataFrame.from_records(self.collect(), columns=self.columns)
  File "/repo/python2libs/pyspark/sql/dataframe.py", line 467, in collect
return list(_load_from_socket(sock_info,     BatchedSerializer(PickleSerializer())))
  File "/repo/python2libs/pyspark/rdd.py", line 142, in _load_from_socket
port, auth_secret = sock_info
TypeError: 'int' object is not iterable

Answer 1

我们的库的自定义存储库有一个用于pyspark的包，它与由spark集群提供的pyspark冲突，并且在某种程度上两者都在Spark shell上运行但在笔记本上不起作用。 因此，重命名自定义存储库中的pyspark库解决了这个问题！