Yes, still limited to 1000 rows / data points. However, when your visualization involves things like sums or averages of a Spark DataFrame's result, those will be performed on the cluster, so would involve maybe many more than 1000 data points, even if the resulting aggregation results are limited to 1000. (In practice, it's hard to visualize more than about 1000 results anyway)