Convert Pyspark String to Date Format in Python - Quick Guide

If you're working with Pyspark and need to convert a string to a date format in Python, you're in luck! This quick guide will walk you through the steps to do just that.

First, you'll need to import the necessary modules. This can be done with the following code:

from pyspark.sql.functions import unix_timestamp, from_unixtime
from pyspark.sql.types import DateType

Next, you'll need to use the unix_timestamp function to convert the string to a Unix timestamp format. This can be done with the following code:

df = df.withColumn('unix_timestamp', unix_timestamp('date_string', 'yyyy-MM-dd'))

In this code, 'date_string' is the name of the column containing the string you want to convert, and 'yyyy-MM-dd' is the format of the string.

Finally, you can use the from_unixtime function to convert the Unix timestamp to a date format. This can be done with the following code:

df = df.withColumn('date', from_unixtime('unix_timestamp').cast(DateType()))

In this code, 'date' is the name of the column you want to create with the date format.

And that's it! With these steps, you can easily convert a Pyspark string to a date format in Python.

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