Pyspark:如何将十天添加到现有日期列 [英] Pyspark: How to add ten days to existing date column

问题描述

我在Pyspark中有一个数据框，其中的日期列称为"report_date".

I have a dataframe in Pyspark with a date column called "report_date".

我想创建一个名为"report_date_10"的新列，该列已添加到原始report_date列中10天.

I want to create a new column called "report_date_10" that is 10 days added to the original report_date column.

下面是我尝试的代码:

df_dc["report_date_10"] = df_dc["report_date"] + timedelta(days=10)

这是我得到的错误:

AttributeError:"datetime.timedelta"对象没有属性"_get_object_id"

AttributeError: 'datetime.timedelta' object has no attribute '_get_object_id'

帮助！

推荐答案

似乎您正在使用 pandas 语法添加一列；对于Spark，您需要使用 withColumn 添加新列；要添加日期，有内置的 date_add 函数:

It seems you are using the pandas syntax for adding a column; For spark, you need to use withColumn to add a new column; For adding the date, there's the built in date_add function:

import pyspark.sql.functions as F
df_dc = spark.createDataFrame([['2018-05-30']], ['report_date'])

df_dc.withColumn('report_date_10', F.date_add(df_dc['report_date'], 10)).show()
+-----------+--------------+
|report_date|report_date_10|
+-----------+--------------+
| 2018-05-30|    2018-06-09|
+-----------+--------------+

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