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

Converting PySpark String to Date Format

You have a PySpark DataFrame with a string column in the MM-dd-yyyy format, and you need to convert it to a date column.

Solution:

To convert a PySpark string column to a date column, you can use the to_date function. However, if you're using an older version of Spark (

Alternative Approach for Spark

Use a combination of unix_timestamp and from_unixtime functions:

from pyspark.sql.functions import unix_timestamp, from_unixtime

# Example DataFrame with string dates
df = spark.createDataFrame(
    [("11/25/1991",), ("11/24/1991",), ("11/30/1991",)],
    ["date_str"]
)

# Convert to timestamps
df2 = df.select(
    "date_str",
    from_unixtime(unix_timestamp("date_str", "MM/dd/yyy")).alias("date")
)

This will create a new column named date with date objects converted from the string column.

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