如何删除pyspark数据框中的列 [英] How to delete columns in pyspark dataframe

问题描述

>>> a
DataFrame[id: bigint, julian_date: string, user_id: bigint]
>>> b
DataFrame[id: bigint, quan_created_money: decimal(10,0), quan_created_cnt: bigint]
>>> a.join(b, a.id==b.id, 'outer')
DataFrame[id: bigint, julian_date: string, user_id: bigint, id: bigint, quan_created_money: decimal(10,0), quan_created_cnt: bigint]

有两个id: bigint，我想删除一个.我该怎么办?

There are two id: bigint and I want to delete one. How can I do?

推荐答案

阅读Spark文档，我发现了一个更简单的解决方案.

Reading the Spark documentation I found an easier solution.

自从1.4版本的spark开始，就有一个函数drop(col)可以在数据帧上的pyspark中使用.

Since version 1.4 of spark there is a function drop(col) which can be used in pyspark on a dataframe.

您可以通过两种方式使用它

You can use it in two ways

1. df.drop('age').collect()
2. df.drop(df.age).collect()

1. df.drop('age').collect()
2. df.drop(df.age).collect()

Pyspark文档-删除

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