Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/5225#discussion_r27328262
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
@@ -730,6 +731,23 @@ class DataFrame private[sql](
Generate(generator, join = true, outer = false, None, logicalPlan)
}
+ /**
+ * Returns a new [[DataFrame]] that omits rows with `NULL` values in the
specified columns.
+ * If no columns are specified, a row is omitted if any column contains
`NULL`.
+ *
+ * @group dfops
+ */
+ @scala.annotation.varargs
+ def dropna(cols: String*): DataFrame = {
--- End diff --
Is it possible to do what cheng said? I think dropNull is a much better
name, but if we have an alias dropna, I think it would be good for pandas
compatibility. In general I think aliasing things might necessary in the way we
approach data frames since we're trying to meet a few different requirements.
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