Pyspark从数据框中的列中删除空值

Question

我的数据框如下所示

ID,FirstName,LastName

1,Navee,Srikanth

2,,Srikanth 

3,Naveen,

现在我的问题陈述是，由于名字为空，我必须删除第2行。

我正在使用以下pyspark脚本

join_Df1= Name.filter(Name.col(FirstName).isnotnull()).show()

我收到错误消息

  File "D:\0\NameValidation.py", line 13, in <module>
join_Df1= filter(Name.FirstName.isnotnull()).show()

TypeError：“列”对象不可调用

谁能帮我解决这个问题

Answer 1

看来您的DataFrame FirstName却具有空值Null。以下是一些可以尝试的选项：-

df = sqlContext.createDataFrame([[1,'Navee','Srikanth'], [2,'','Srikanth'] , [3,'Naveen','']], ['ID','FirstName','LastName'])
df.show()
+---+---------+--------+
| ID|FirstName|LastName|
+---+---------+--------+
|  1|    Navee|Srikanth|
|  2|         |Srikanth|
|  3|   Naveen|        |
+---+---------+--------+

df.where(df.FirstName.isNotNull()).show() #This doen't remove null because df have empty value
+---+---------+--------+
| ID|FirstName|LastName|
+---+---------+--------+
|  1|    Navee|Srikanth|
|  2|         |Srikanth|
|  3|   Naveen|        |
+---+---------+--------+

df.where(df.FirstName != '').show()
+---+---------+--------+
| ID|FirstName|LastName|
+---+---------+--------+
|  1|    Navee|Srikanth|
|  3|   Naveen|        |
+---+---------+--------+

df.filter(df.FirstName != '').show()
+---+---------+--------+
| ID|FirstName|LastName|
+---+---------+--------+
|  1|    Navee|Srikanth|
|  3|   Naveen|        |
+---+---------+--------+

df.where("FirstName != ''").show()
+---+---------+--------+
| ID|FirstName|LastName|
+---+---------+--------+
|  1|    Navee|Srikanth|
|  3|   Naveen|        |
+---+---------+--------+

Answer 2

你应该做如下

join_Df1.filter(join_Df1.FirstName.isNotNull()).show

希望这可以帮助！