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

<p>This article explains two ways one can write a PySpark DataFrame with timestamp column for a given range of time.</p> <h2>A) Plain way</h2> <p>Here are the steps to create a PySpark DataFrame with a timestamp column using the range of dates:</p> <ol> <li>Import libraries:</li> </ol> <pre> from pyspark.sql import SparkSession from pyspark.sql.functions import expr, to_date, lit from pyspark.sql.types import TimestampType</pre> <p>2. Start a PySpark session:</p> <pre> spark = SparkSession.builder.appName(&quot;CreateDFWithTimestamp&quot;).getOrCreate()</pre> <p>3. Define the start and end dates for the time period:</p> <pre> start_date = &#39;2022-11-01&#39; end_date = &#39;2022-11-30&#39;</pre> <p>4. Create a PySpark DataFrame with the start and end dates:</p> <p><a href="https://dilorom.medium.com/creating-a-pyspark-dataframe-with-timestamp-column-for-a-given-range-of-dates-two-methods-84715e9eef9"><strong>Website</strong></a></p>