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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