How to Convert a PySpark String Column to a Date Format?

Converting PySpark String to Date Format

When handling dates stored as strings, the conversion to a proper date format becomes crucial to facilitate further analysis. Here's a solution to convert a string column in the format "MM-dd-yyyy" to a date column using PySpark.

To resolve the issue and successfully convert the string column to date, consider using the to_date function along with the appropriate format specification. The following code snippet demonstrates the correct approach:

df.select(to_date(df.STRING_COLUMN, "MM-dd-yyyy").alias("new_date")).show()

For Spark 2.2 , an alternative approach exists using the to_timestamp function, which supports the specification of the input format:

from pyspark.sql.functions import to_timestamp
df.select(to_timestamp(df.STRING_COLUMN, "MM-dd-yyyy").alias("new_date")).show()

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