[GitHub] [spark] itholic commented on a diff in pull request #37635: [SPARK-40131][PYTHON] Support NumPy ndarray in built-in functions

[GitBox <gi...@apache.org>]

itholic commented on code in PR #37635:
URL: https://github.com/apache/spark/pull/37635#discussion_r963154413


##########
python/pyspark/sql/types.py:
##########
@@ -2268,12 +2288,38 @@ def convert(self, obj: "np.generic", gateway_client: GatewayClient) -> Any:
         return obj.item()
 
 
+class NumpyArrayConverter:
+    def can_convert(self, obj: Any) -> bool:
+        return has_numpy and isinstance(obj, np.ndarray) and obj.ndim == 1
+
+    def convert(self, obj: "np.ndarray", gateway_client: GatewayClient) -> JavaObject:
+        from pyspark import SparkContext
+
+        gateway = SparkContext._gateway
+        assert gateway is not None
+        plist = obj.tolist()
+
+        if len(obj) > 0 and isinstance(plist[0], str):
+            jtpe = gateway.jvm.String
+        else:
+            jtpe = _from_numpy_type_to_java_type(obj.dtype, gateway)
+            if jtpe is None:
+                raise TypeError("The type of array scalar is not supported")

Review Comment:
   Can we have a test for this ?



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