Creating a PySpark DataFrame with Timestamp Column for a Given Range of Dates: Two Methods

This article explains two ways one can write a PySpark DataFrame with timestamp column for a given range of time.

A) Plain way

Here are the steps to create a PySpark DataFrame with a timestamp column using the range of dates:

from pyspark.sql import SparkSession
from pyspark.sql.functions import expr, to_date, lit
from pyspark.sql.types import TimestampType

2. Start a PySpark session:

spark = SparkSession.builder.appName("CreateDFWithTimestamp").getOrCreate()

3. Define the start and end dates for the time period:

start_date = '2022-11-01'
end_date = '2022-11-30'

4. Create a PySpark DataFrame with the start and end dates: