SyntaxError: invalid syntax when creating DataFrame with ArrayType

Question

I want to create PySpark DataFrame

from pyspark.sql import SparkSession
from pyspark.sql.types import *
from pyspark.sql import Row

spark = SparkSession \
    .builder \
    .appName("Test") \
    .master("local[4]") \
    .getOrCreate()

schema = StructType([StructField('id', StringType()), \
                     StructField('timestamp',LongType()), \
                     StructField('coordinates',ArrayType())])
rows = [Row(id="11", timestamp=1523975430000, coordinates = [41.5555, 2.1522])]

df = spark.createDataFrame(rows, schema)

However, I get the syntax error SyntaxError: invalid syntax next to lat . I assume that ArrayType objects should be created differently. Can someone help me creating this DataFrame df ?

Update:

Expected result:

id    timestamp       coordinates
11    1523975430000    [41.5555, 2.1522]

Answer 1

ArrayType needs type of elements. Try:

schema = StructType([StructField('id', StringType()), \
                     StructField('timestamp',LongType()), \
                     StructField('coordinates',ArrayType(DoubleType()))])
rows = [Row(id="11", timestamp=1523975430000, coordinates = [ 41.5555,  2.1522])]

Results:

+---+-------------+-----------------+
| id|    timestamp|      coordinates|
+---+-------------+-----------------+
| 11|1523975430000|[41.5555, 2.1522]|
+---+-------------+-----------------+