xinrong-meng commented on code in PR #37635:
URL: https://github.com/apache/spark/pull/37635#discussion_r963004995
##########
python/pyspark/sql/types.py:
##########
@@ -2268,12 +2268,48 @@ 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()
+ tpe_np_to_java = {
Review Comment:
We cannot import `SparkContext` from the module level. And we may want to do
a nullability check for "SparkContext._gateway". So
`_from_numpy_type_to_java_type` is introduced instead fro code reuse. Let me
know if you have a better idea :)
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