Give lists like: -

names = ['Alice', 'Bob', 'Charlie']
ages = [30, 25, 35]
cities = ['New York', 'Los Angeles', 'Chicago']

Combine them to form a dataframe.

arrays_zip(): -
zip() is used in python, arrays_zip in pyspark.

combined_data = zip(names,ages,cities)

schema = StructType(
    [ StructField("Name",StringType(),True),
    StructField("Ages",IntegerType(),True),
    StructField("City",StringType(),True)
    ]
)

df = spark.createDataFrame(combined_data,schema)
df.show()

+-------+----+-----------+
|   Name|Ages|       City|
+-------+----+-----------+
|  Alice|  30|   New York|
|    Bob|  25|Los Angeles|
|Charlie|  35|    Chicago|
+-------+----+-----------+