How to change a column value in the PySpark dataframe with a datatype of an array of structs

How to change a column value in the PySpark dataframe with a datatype of an array of structs, for example, I would like to divide long_value by 10.

root
 |-- properties: array (nullable = true)
 |    |-- element: struct (containsNull = true)
 |    |    |-- key: string (nullable = true)
 |    |    |-- value: struct (nullable = true)
 |    |    |    |-- string_value: string (nullable = true)
 |    |    |    |-- long_value: long (nullable = true)

I tried to achieve it by using the withColumn method but the approach returns the same df.

df.withColumn("properties.value.long_value", col("properties")[0]["value"]["long_value"] / 10 )

Using transform function along with column method withField:

df1 = df.withColumn(
    "properties",
    F.transform(
        "properties",
        lambda x: x.withField("value", x["value"].withField("long_value", x["value"].getField("long_value") / 10))
    )
)