Question

我有一个pyspark数据框，我正在尝试使用toPandas（）将其转换为熊猫，但是我遇到了以下提到的错误。

我尝试了不同的选择，但遇到了相同的错误：
1）将数据限制为只有几条记录
2）显式使用了collect（）（我相信toPandas（）会固有地使用）

探索了很多关于SO的帖子，但是AFAIK都没有toPandas（）问题。

我的数据帧快照：-

>>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

我们的自定义库存储库包含一个用于pyspark的软件包，该软件包与spark集群提供的pyspark冲突，并且两者都可以在Spark shell上使用，但不能在笔记本上使用。
因此，在自定义存储库中重命名pyspark库可以解决该问题！

使用pyspark的toPandas（）错误：“ int”对象不可迭代

1 个答案: