Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/19646#discussion_r148779399
--- Diff: python/pyspark/sql/session.py ---
@@ -512,9 +557,7 @@ def createDataFrame(self, data, schema=None,
samplingRatio=None, verifySchema=Tr
except Exception:
has_pandas = False
if has_pandas and isinstance(data, pandas.DataFrame):
- if schema is None:
- schema = [str(x) for x in data.columns]
- data = [r.tolist() for r in data.to_records(index=False)]
--- End diff --
seems `r.tolist` is the problem, how about `r[i] for i in xrange(r.size)`?
Then we can get `numpy.datatype64`
```
>>> pd.DataFrame({"ts": [datetime(2017, 10, 31, 1, 1,
1)]}).to_records(index=False)[0].tolist()[0]
1509411661000000000L
>>> pd.DataFrame({"ts": [datetime(2017, 10, 31, 1, 1,
1)]}).to_records(index=False)[0][0]
numpy.datetime64('2017-10-31T02:01:01.000000000+0100')
>>>
```
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